The present invention relates to orthopedic methods, systems and devices and more particularly, to joint implants and methods for designing and manufacturing the same.
Traditional joint implants are known in the art. For example, one of the most common types of joint prosthetic devices is a knee implant including a femoral component and a tibial component. Other joint implants are associated with, for example, the hip and shoulder.
Implantation of traditional prosthetic devices is usually associated with loss of underlying tissue and bone. With some devices, serious long-term complications associated with the loss of significant amount of tissue and bone can include infection, osteolysis and also loosening of the implant. Such joint arthroplasties can be highly invasive and require surgical resection of the entire, or a majority of the, articular surface of one or more bones involved in the repair. Typically with these procedures, the marrow space is fairly extensively reamed in order to fit the stem of the prosthesis within the bone. Reaming results in a loss of a patient's bone stock and over time subsequent osteolysis can frequently lead to loosening of the prosthesis. Further, the area where the implant and the bone mate degrades over time requiring the prosthesis to eventually be replaced. Since the patient's bone stock is limited, the number of possible replacement surgeries also is limited for joint arthroplasty. In short, over the course of fifteen to twenty years, and in some cases even shorter time periods, the patient can run out of therapeutic options ultimately resulting in a painful, non-functional joint.
Moreover, currently available traditional implants can be misaligned with a patient's anatomical structures and thereby jeopardize the resultant joint congruity. Poor alignment and poor joint congruity can, for example, lead to instability of the joint. Further, traditional implant solutions do not take into account the fact that roughly 80% of patients undergoing knee surgery have a healthy lateral compartment and only need to repair the medial condyle and the patella. An additional 10% only have damage to the lateral condyle. Thus, 90% of patients do not require the entire condylar surface repaired.
Thus, there is a need for joint implants and systems that integrate with a patient's anatomical structures. In particular, there is a need for implants and implant systems that take into account the patient-specific damage to be repaired and minimizes bone loss due to implantation requirements. Moreover, there is a need for implants and implant systems that provide an improved functional joint and improve the anatomic result of the joint correction procedure by providing surfaces that more closely resemble, or optimize, the joint anatomy of a patient.
Some embodiments described herein provide novel devices and methods for replacing a portion (for example, a diseased area and/or area slightly larger than the diseased area) of a joint (for example, one or more of cartilage, meniscus and bone) with one or more implants, where the implant(s) achieve an anatomic, near anatomic, and/or optimized fit with the surrounding structures and tissues. In cases where the devices and/or methods include an element associated with the underlying articular bone, some embodiments also provide that the bone-associated element can achieve a near anatomic alignment with the subchondral bone. In addition, some embodiments provide for the preparation of an implantation site with one or more cuts. Asymmetrical components can also be provided to improve the anatomic functionality of the repaired joint by providing a solution that closely resembles the natural knee joint anatomy or an optimized knee joint anatomy. The improved anatomic results, in turn, leads to an improved functional result for the repaired joint. Some embodiments also provide a kit that includes one or more implants used to achieve optimal joint correction.
In certain aspects, implants and methods are provided for a joint of one or more of the knee, hip, ankle, shoulder, elbow, wrist, and hand. In certain embodiments, the implant devices and methods may be used for knee implants and procedures in a bicompartmental arthroplasty that covers portions or all of one femoral condyle, medial or lateral, and the trochlea. These devices may be fixed or non-mobile bearing or they can be mobile bearing.
As will be appreciated by those of skill in the art, methods recited herein may be carried out in any order of the recited events which is logically possible, as well as the recited order of events. Furthermore, where a range of values is provided, it is understood that every intervening value, between the upper and lower limit of that range and any other stated or intervening value in that stated range is encompassed. Also, it is contemplated that any optional feature described herein may be set forth and claimed independently, or in combination with any one or more of the features described herein.
Methods and compositions described herein can employ, unless otherwise indicated, images derived from conventional and digital methods of x-ray imaging and processing, x-ray tomosynthesis, ultrasound including A-scan, B-scan and C-scan, computed tomography (CT scan), magnetic resonance imaging (MRI), optical coherence tomography, single photon emission tomography (SPECT) and positron emission tomography (PET) within the skill of the art. Such techniques are explained fully in the literature and need not be described herein. See, for example, X-Ray Structure Determination: A Practical Guide, 2nd Edition, editors Stout and Jensen, 1989, John Wiley & Sons, publisher; Body CT: A Practical Approach, editor Slone, 1999, McGraw-Hill publisher; X-ray Diagnosis: A Physician's Approach, editor Lam, 1998 Springer-Verlag, publisher; and Dental Radiology: Understanding the X-Ray Image, editor Laetitia Brocklebank 1997, Oxford University Press publisher. See also, The Essential Physics of Medical Imaging (2nd Ed.), Jerrold T. Bushberg, et al.
Some embodiments described herein provide methods and compositions for repairing joints, particularly for repairing articular cartilage and for facilitating the integration of a wide variety of cartilage repair materials into a subject. Among other things, certain techniques described herein allow for the customization of cartilage repair material to suit a particular subject, for example in terms of size, cartilage thickness and/or curvature. When the shape (e.g., size, thickness and/or curvature) of the articular cartilage surface is an exact or near anatomic fit with the non-damaged cartilage or with the subject's original cartilage, the success of repair is enhanced. The repair material can be shaped prior to implantation and such shaping can be based, for example, on electronic images that provide information regarding curvature or thickness of any “normal” cartilage surrounding the defect and/or on curvature of the bone underlying the defect. Thus, some embodiments provide, among other things, for minimally invasive methods for partial joint replacement. The methods require only minimal or, in some instances, no loss in bone stock. Additionally, unlike traditional implants and related techniques, certain methods described herein help to restore the integrity of the articular surface by achieving an exact or near anatomic match between the implant and the surrounding or adjacent cartilage and/or subchondral bone.
Some embodiments described herein provide methods and compositions for repairing joints that includes cutting or resecting one or more portions of a patient's bone, for example, subchondral bone. Among other things, certain implants and techniques described herein provide implants and implant components that include one or more patient-specific and/or patient-engineered surfaces that are customized for a patient, for example in terms of size, thickness and/or curvature, to supply an anatomic, near anatomic, and/or optimized fit with one or more of the patient's anatomical structures and/or a structure of another implant component. The patient-specific and/or patient-engineered aspects or features of an implant can be shaped prior to implantation and can be based on patient-specific data, for example, as obtained via electronic images of the patient's anatomical features. In this way, unlike traditional implants and related techniques, certain methods described herein help to restore or optimize a patient's joint by achieving an anatomic, near anatomic, or optimized match between the implant or implant component and one or more other structures in the joint.
Advantages of embodiments described herein can include, but are not limited to, (i) customization of joint repair, thereby enhancing the efficacy and comfort level for the patient following the repair procedure; (ii) eliminating the need for a surgeon to measure the defect to be repaired intraoperatively in some embodiments; (iii) eliminating the need for a surgeon to shape the material during the implantation procedure; (iv) providing methods of evaluating curvature of the repair material based on bone or tissue images or based on intraoperative probing techniques; (v) providing methods of repairing joints with only minimal or, in some instances, no loss in bone stock; (vi) improving postoperative joint congruity; (vii) improving the postoperative patient recovery in some embodiments and (viii) improving postoperative function, such as range of motion.
Thus, the methods described herein allow for the design and use of joint repair material that more precisely fits the defect (for example, site of implantation) or the articular surface(s) and, accordingly, provides improved repair of the joint.
1. Assessment of Joints and Alignment
The methods and compositions described herein can be used to treat defects resulting from disease of the cartilage (for example, osteoarthritis), bone damage, cartilage damage, trauma, and/or degeneration due to overuse or age. Some embodiments allow, among other things, a health practitioner to evaluate and treat such defects. The size, volume and shape of the area of interest can include only the region of cartilage that has the defect, but preferably include contiguous parts of the cartilage surrounding the cartilage defect.
As will be appreciated by those of skill in the art, size, curvature and/or thickness measurements can be obtained using any suitable technique. For example, one-dimensional, two-dimensional, and/or three-dimensional measurements can be obtained using suitable mechanical means, laser devices, electromagnetic or optical tracking systems, molds, materials applied to the articular surface that harden and “memorize the surface contour,” and/or one or more imaging techniques known in the art. Measurements can be obtained non-invasively and/or intraoperatively (for example, using a probe or other surgical device). As will be appreciated by those of skill in the art, the thickness of the repair device can vary at any given point depending upon patient's anatomy and/or the depth of the damage to the cartilage and/or bone to be corrected at any particular location on an articular surface.
As will be appreciated by those of skill in the art, the practitioner can proceed directly from the step of generating a model representation of the target joint 30 to the step of selecting a suitable joint replacement implant 50 as shown by the arrow 32. Additionally, following selection of suitable joint replacement implant 50, one or more of the steps of obtaining measurement of target joint 10, generating model representation of target joint 30, and generating projected model 40, can be repeated in series or in parallel as shown by the flow 24, 25, 26.
As will be appreciated by those of skill in the art, the practitioner can proceed directly from the step of generating a model representation of the target joint 30 to the step of designing a suitable joint replacement implant 52 as shown by the arrow 38. Following the design of a suitable joint replacement implant 52, one or more of the steps of obtaining measurement of target joint 10, generating model representation of target joint 30, and generating projected model 40, can be repeated in series or parallel as shown by the flow 42, 43, 44.
Once the surfaces have been measured, the user either selects the best fitting implant contained in a library of implants 130 or generates a patient-specific implant 132. In addition, patient-specific cuts to the patient's bone optionally can be designed and an implant having the corresponding bone cut angles and surfaces can be selected or generated. These steps can be repeated as desired or necessary to achieve the best fitting implant for a patient, 131, 133. As will be appreciated by those of skill in the art, the process of selecting or designing an implant can be tested against the information contained in the MRI or x-ray of the patient to ensure that the surfaces of the device achieves a good fit relative to the subject's joint surface. Testing can be accomplished by, for example, superimposing the implant image over the image for the subject's joint. Once it has been determined that a suitable implant has been selected or designed, the implant site can be prepared 140, for example by removing cartilage or bone from the joint surface, or the implant can be placed into the joint 150.
The joint implant selected or designed achieves anatomic, near anatomic, and/or optimized fit with the modified and/or unmodified articular surface of the patient's joint while presenting a mating surface for the opposing joint surface that replicates the natural joint anatomy or an optimized joint anatomy. Both the existing surface of the joint can be assessed as well as the desired resulting surface of the joint. This technique is particularly useful for implants that are not anchored into the bone.
As will be appreciated by those of skill in the art, the physician, or practitioner can obtain a measurement of a target joint 10 and then either design 52 or select 50 a suitable joint replacement implant.
2. Repair Materials
A wide variety of materials can be used in the practice of the implants described herein, including, but not limited to, plastics, metals, crystal free metals, ceramics, biological materials (for example, collagen or other extracellular matrix materials), hydroxyapatite, cells (for example, stem cells, chondrocyte cells or the like), or combinations thereof. Based on the obtained information, such as measurements, regarding the defect and the articular surface and/or the subchondral bone, a repair material can be formed or selected. Further, using one or more of the techniques described herein, a cartilage replacement or regenerating material can a curvature that fits into a particular cartilage defect, follows the contour and shape of the articular surface, and/or matches the thickness of the surrounding cartilage. The repair material can include any combination of materials, and typically includes at least one non-pliable material, for example materials that are not easily bent or changed.
2.1 Metal and Polymeric Repair Materials
Currently, joint repair systems often employ metal and/or polymeric materials including, for example, prostheses which are anchored into the underlying bone (e.g., a femur in the case of a knee prosthesis). See, e.g., U.S. Pat. No. 6,203,576 to Afriat, et al. issued Mar. 20, 2001 and U.S. Pat. No. 6,322,588 to Ogle, et al. issued Nov. 27, 2001, and references cited therein. Various metals can be selected based on any criteria known in the art. For example, material selection can be based on resiliency to impart a desired degree of rigidity. Non-limiting examples of suitable metals include silver, gold, platinum, palladium, iridium, copper, tin, lead, antimony, bismuth, zinc, titanium, cobalt, stainless steel, nickel, iron alloys, cobalt alloys, such as Elgiloy®, a cobalt-chromium-nickel alloy, and MP35N, a nickel-cobalt-chromium-molybdenum alloy, and Nitinol™, a nickel-titanium alloy, aluminum, manganese, iron, tantalum, crystal free metals, such as Liquidmetal® alloys (available from LiquidMetal Technologies, www.liquidmetal.com), other metals that can slowly form polyvalent metal ions, for example to inhibit calcification of implanted substrates in contact with a patient's bodily fluids or tissues, and combinations thereof.
Suitable synthetic polymers include, without limitation, polyamides (e.g., nylon), polyesters, polystyrenes, polyacrylates, vinyl polymers (e.g., polyethylene, polytetrafluoroethylene, polypropylene and polyvinyl chloride), polycarbonates, polyurethanes, poly dimethyl siloxanes, cellulose acetates, polymethyl methacrylates, polyether ether ketones, ethylene vinyl acetates, polysulfones, nitrocelluloses, similar copolymers and mixtures thereof. Bioresorbable synthetic polymers can also be used such as dextran, hydroxyethyl starch, derivatives of gelatin, polyvinylpyrrolidone, polyvinyl alcohol, poly[N-(2-hydroxypropyl) methacrylamide], poly(hydroxy acids), poly(epsilon-caprolactone), polylactic acid, polyglycolic acid, poly(dimethyl glycolic acid), poly(hydroxy butyrate), and similar copolymers can also be used.
Other appropriate materials include, for example, the polyketone known as polyetheretherketone (PEEK™). This includes the material PEEK 450G, which is an unfilled PEEK approved for medical implantation available from Victrex of Lancashire, Great Britain. (Victrex is located at the web site, www.matweb.com, or see Boedeker at the web site, www.boedeker.com). Other sources of this material include Gharda located in Panoli, India (www.ghardapolymers.com).
It should be noted that the material selected also can be filled. For example, other grades of PEEK also are available and contemplated, such as 30% glass-filled or 30% carbon filled, provided such materials are cleared for use in implantable devices by the FDA or other regulatory body. Glass filled PEEK reduces the expansion rate and increases the flexural modulus of PEEK relative to that portion which is unfilled. The resulting product is known to be ideal for improved strength, stiffness, or stability. Carbon filled PEEK is known to enhance the compressive strength and stiffness of PEEK and lower its expansion rate. Carbon filled PEEK offers wear resistance and load carrying capability.
As will be appreciated, other suitable similarly biocompatible thermoplastic or thermoplastic polycondensate materials that resist fatigue, have good memory, are flexible, and/or deflectable have very low moisture absorption, and good wear and/or abrasion resistance, can be used. The implant can also be comprised of polyetherketoneketone (PEKK).
Other materials that can be used include polyetherketone (PEK), polyetherketoneetherketoneketone (PEKEKK), and polyetheretherketoneketone (PEEKK), and generally a polyaryletheretherketone. Further, other polyketones can be used as well as other thermoplastics.
Reference to appropriate polymers that can be used for the implant can be made to the following documents, all of which are incorporated herein by reference. These documents include: PCT Publication WO 02/02158 A1, dated Jan. 10, 2002 and entitled Bio-Compatible Polymeric Materials; PCT Publication WO 02/00275 A1, dated Jan. 3, 2002 and entitled Bio-Compatible Polymeric Materials; and PCT Publication WO 02/00270 A1, dated Jan. 3, 2002 and entitled Bio-Compatible Polymeric Materials.
The polymers can be prepared by any of a variety of approaches including conventional polymer processing methods. Preferred approaches include, for example, injection molding, which is suitable for the production of polymer components with significant structural features, and rapid prototyping approaches, such as reaction injection molding and stereo-lithography. The substrate can be textured or made porous by either physical abrasion or chemical alteration to facilitate incorporation of the metal coating. Other processes are also appropriate, such as extrusion, injection, compression molding and/or machining techniques. Typically, the polymer is chosen for its physical and mechanical properties and is suitable for carrying and spreading the physical load between the joint surfaces.
More than one metal and/or polymer can be used in combination. For example, one or more metal-containing substrates can be coated with polymers in one or more regions or, alternatively, one or more polymer-containing substrates can be coated in one or more regions with one or more metals.
The system or prosthesis can be porous or porous coated. The porous surface components can be made of various materials including metals, ceramics, and polymers. These surface components can, in turn, be secured by various means to a multitude of structural cores formed of various metals. Suitable porous coatings include, but are not limited to, metal, ceramic, and polymeric (e.g., biologically neutral elastomers such as silicone rubber, polyethylene terephthalate and/or combinations thereof) coatings or combinations thereof. See, e.g., U.S. Pat. No. 3,605,123 to Hahn, issued Sep. 20, 1971. U.S. Pat. No. 3,808,606 to Tronzo issued May 7, 1974 and U.S. Pat. No. 3,843,975 to Tronzo issued Oct. 29, 1974; U.S. Pat. No. 3,314,420 to Smith issued Apr. 18, 1967; U.S. Pat. No. 3,987,499 to Scharbach issued Oct. 26, 1976; and German Offenlegungsschrift 2,306,552. There can be more than one coating layer and the layers can have the same or different porosities. See, e.g., U.S. Pat. No. 3,938,198 to Kahn, et al., issued Feb. 17, 1976.
The coating can be applied by surrounding a core with powdered polymer and heating until cured to form a coating with an internal network of interconnected pores. The tortuosity of the pores (e.g., a measure of length to diameter of the paths through the pores) can be important in evaluating the probable success of such a coating in use on a prosthetic device. See, also, U.S. Pat. No. 4,213,816 to Morris issued Jul. 22, 1980. The porous coating can be applied in the form of a powder and the article as a whole subjected to an elevated temperature that bonds the powder to the substrate. Selection of suitable polymers and/or powder coatings can be determined in view of the teachings and references cited herein, for example based on the melt index of each.
2.2 Biological Repair Material
Repair materials can also include one or more biological material, either alone or in combination with non-biological materials. For example, any base material can be designed or shaped and suitable cartilage replacement or regenerating material(s) such as fetal cartilage cells can be applied to be the base. The cells then can be grown in conjunction with the base until the thickness (and/or curvature) of the cartilage surrounding the cartilage defect has been reached. Conditions for growing cells (e.g., chondrocytes) on various substrates in culture, ex vivo and in vivo are described, for example, in U.S. Pat. No. 5,478,739 to Slivka et al. issued Dec. 26, 1995; U.S. Pat. No. 5,842,477 to Naughton et al. issued Dec. 1, 1998; U.S. Pat. No. 6,283,980 to Vibe-Hansen et al., issued Sep. 4, 2001, and U.S. Pat. No. 6,365,405 to Salzmann et al. issued Apr. 2, 2002. Non-limiting examples of suitable substrates include plastic, tissue scaffold, a bone replacement material (e.g., a hydroxyapatite, a bioresorbable material), or any other material suitable for growing a cartilage replacement or regenerating material on it.
Biological polymers can be naturally occurring or produced in vitro by fermentation and the like. Suitable biological polymers include, without limitation, collagen, elastin, silk, keratin, gelatin, polyamino acids, cat gut sutures, polysaccharides (e.g., cellulose and starch) and mixtures thereof. Biological polymers can be bioresorbable.
Biological materials used in the methods described herein can be autografts (from the same subject), allografts (from another individual of the same species), and/or xenografts (from another species). See, also, International Patent Publications WO 02/22014 to Alexander et al. published Mar. 21, 2002 and WO 97/27885 to Lee published Aug. 7, 1997. In certain embodiments, autologous materials are preferred, as they can carry a reduced risk of immunological complications to the host, including re-absorption of the materials, inflammation and/or scarring of the tissues surrounding the implant site.
In certain embodiments, a probe is used to harvest tissue from a donor site and to prepare a recipient site. The donor site can be located in a xenograft, an allograft or an autograft. The probe is used to achieve a good anatomic match between the donor tissue sample and the recipient site. The probe is specifically designed to achieve a seamless or near seamless match between the donor tissue sample and the recipient site. The probe can, for example, be cylindrical. The distal end of the probe is typically sharp in order to facilitate tissue penetration. Additionally, the distal end of the probe is typically hollow in order to accept the tissue. The probe can have an edge at a defined distance from its distal end, e.g. at 1 cm distance from the distal end and the edge can be used to achieve a defined depth of tissue penetration for harvesting. The edge can be external or can be inside the hollow portion of the probe. For example, an orthopedic surgeon can take the probe and advance it with physical pressure into the cartilage, the subchondral bone and the underlying marrow in the case of a joint such as a knee joint. The surgeon can advance the probe until the external or internal edge reaches the cartilage surface. At that point, the edge can prevent further tissue penetration thereby achieving a constant and reproducible tissue penetration. The distal end of the probe can include one or more blades, saw-like structures, or tissue cutting mechanism. For example, the distal end of the probe can include an iris-like mechanism consisting of several small blades. The blade or blades can be moved using a manual, motorized or electrical mechanism thereby cutting through the tissue and separating the tissue sample from the underlying tissue. Typically, this can be repeated in the donor and the recipient. In the case of an iris-shaped blade mechanism, the individual blades can be moved so as to close the iris thereby separating the tissue sample from the donor site.
In certain other embodiments, a laser device or a radiofrequency device can be integrated inside the distal end of the probe. The laser device or the radiofrequency device can be used to cut through the tissue and to separate the tissue sample from the underlying tissue.
In certain embodiments, the same probe can be used in the donor and in the recipient. In certain other embodiments, similarly shaped probes of slightly different physical dimensions can be used. For example, the probe used in the recipient can be slightly smaller than that used in the donor thereby achieving a tight fit between the tissue sample or tissue transplant and the recipient site. The probe used in the recipient can also be slightly shorter than that used in the donor thereby correcting for any tissue lost during the separation or cutting of the tissue sample from the underlying tissue in the donor material.
Any biological repair material can be sterilized to inactivate biological contaminants such as bacteria, viruses, yeasts, molds, mycoplasmas and parasites. Sterilization can be performed using any suitable technique, for example radiation, such as gamma radiation.
Any of the biological materials described herein can be harvested with use of a robotic device. The robotic device can use information from an electronic image for tissue harvesting.
In certain embodiments, the cartilage replacement material has a particular biochemical composition. For instance, the biochemical composition of the cartilage surrounding a defect can be assessed by taking tissue samples and chemical analysis or by imaging techniques. For example, WO 02/22014 to Alexander describes the use of gadolinium for imaging of articular cartilage to monitor glycosaminoglycan content within the cartilage. The cartilage replacement or regenerating material can then be made or cultured in a manner, to achieve a biochemical composition similar to that of the cartilage surrounding the implantation site. The culture conditions used to achieve the desired biochemical compositions can include, for example, varying concentrations. Biochemical composition of the cartilage replacement or regenerating material can, for example, be influenced by controlling concentrations and exposure times of certain nutrients and growth factors.
3. Implant Components
Information on thickness and curvature of the cartilage and/or subchondral bone can be used to create a physical model of the surfaces of the articular cartilage and/or of the underlying bone. This physical model can be representative of a limited area within the joint or it can encompass the entire joint. This model can also take into consideration the presence or absence of a meniscus as well as the presence or absence of some or all of the cartilage. For example, in the knee joint, the physical model can encompass only the medial or lateral femoral condyle, both femoral condyles and the notch region, the medial tibial plateau, the lateral tibial plateau, the entire tibial plateau, the medial patella, the lateral patella, the entire patella or the entire joint. The location of a diseased area of cartilage can be determined, for example using a 3D coordinate system or a 3D Euclidian distance as described in WO 02/22014.
In this way, the size of the defect to be repaired can be determined. This process takes into account that, for example, roughly 80% of patients have a healthy lateral component. As will be apparent, some, but not all, defects can include less than the entire cartilage. Thus, in certain embodiments, the thickness of the normal or only mildly diseased cartilage surrounding one or more cartilage defects is measured. This thickness measurement can be obtained at a single point or, preferably, at multiple points, for example 2 point, 4-6 points, 7-10 points, more than 10 points or over the length of the entire remaining cartilage. Furthermore, once the size of the defect is determined, an appropriate therapy, for example, a repair system (also referred to as an articular repair system), including one or more implants or implant components, can be selected such that as much as possible of the healthy, surrounding tissue is preserved.
In certain embodiments, the curvature of the articular surface can be measured to select, design, and/or shape the repair material. Further, both the thickness of the remaining cartilage and the curvature of the articular surface can be measured to design and/or shape the repair material. Alternatively, the curvature of the subchondral bone can be measured and the resultant measurement(s) can be used to select, design, and/or shape a replacement material. For example, the contour of the subchondral bone can be used to re-create a virtual implant surface. The subchondral bone shape in the diseased areas can be measured. A virtual contour then can be created by projecting the subchondral bone surface into the cartilage surface, whereby the projected subchondral bone surface establishes the margins of the implant. In shaping the device, the contours can be configured to mate with existing anatomical structures or to account for the removal of anatomical structures.
3.1 Femoral Bicompartmental Implant Component
This section and the following subsections describe various features of embodiments of a bicompartmental implant or implant device 500. In the design and manufacture of these embodiments, the measurements for one or more aspects or features of any embodiment can be patient-specific, engineered, patient-engineered, or standard. It is understood that any of the patient-specific, engineered, patient-engineered, and/or standard aspects or features described below can be combined in an embodiment.
The implant optionally can oppose one or more implants or opposing joint surfaces.
1“Tibial Plateau Surface Stress in TKA: A Factor Influencing Polymer Failure Series III - Posterior Stabilized Designs;” Paul D. Postak, B.Sc., Christine S. Heim, B.Sc., A. Seth Greenwald, D. Phil.; Orthopaedic Research Laboratories, The Mt. Sinai Medical Center, Cleveland, Ohio. Presented at the 62nd Annual AAOS Meeting, 1995.
Using the implant 500, three point loading occurs from Set-up 1 (2900 N). To replicate a worst case loading scenario, a 75/25 load distribution (75% of 2900 N=2175 N) is used. The loading is concentrated on a 6 mm diameter circular area located directly below and normal to the peg on the bearing surface.
Turning to the cantilever loading shown in
Turning to
3.4.1 Cut Regions of Superior Surface
As shown in
In certain embodiments, the bicompartmental implant 500 includes an anterior cut. For example, the superior surface of an implant 500 can include one or more contoured surfaces for mating to one or more bone and/or cartilage surface(s) and a single, anterior cut for mating to a modified (e.g., resected) bone surface. Alternatively, the superior surface can include one or more contoured surfaces for mating to one or more bone and/or cartilage surfaces, an anterior cut for mating to a cut bone surface, and one or more additional cuts, such as one or more additional anterior cuts, one or more posterior cuts, one or more distal cuts, one or more chamfer cuts, and/or one or more oblique cuts for mating to one or more modified (e.g., resected) bone surfaces.
In certain embodiments, the superior surface of a bicompartmental implant 500 can consist primarily of cut surfaces (i.e., without any portion being an uncut, contoured surface). The cut surfaces can include one or more anterior cuts, one or more posterior cuts, one or more distal cuts, one or more chamfer cuts, and/or one or more oblique cuts.
In preferred embodiments, the bicompartmental implant or implant component 500 includes an anterior cut and a posterior cut on the superior surface. Certain preferred embodiments also can include on the superior surface, between the anterior cut and posterior cut, one or more contoured surface(s) for mating to one or more bone and/or cartilage surfaces.
In certain embodiments, the anterior cut and/or the posterior cut (and/or optionally any one or more other cuts) on the superior surface can be engineered. For example, one or more bone cuts can be designed to match one or more resected bone surfaces that themselves are designed or selected to meet a target or parameter, such as minimizing the amount of resected bone. To the extent that patient-specific data is used to engineer an optimized bone cut for the implant 500, the implant 500 and/or implant bone cut can be understood to be patient-engineered.
This engineering aspect can allow for one or more cuts to the patient's bone that resects less bone than is required for a traditional primary total knee arthroplasty (“TKA”) implant. For example, one or more of the optimized bone cuts can allow less than 12 mm, less than 10 mm, less than 8 mm, less than 6 mm, and/or less than 4 mm of bone resected from the surface of the femur. For example,
In certain embodiments, one or both of the anterior and posterior cuts on the superior surface of the bicompartmental implant or implant component 500 can be substantially parallel to the patient's femoral axis, including having one or both cuts slightly oblique to the femoral axis.
In certain embodiments, one or both of the anterior and posterior cuts can be substantially non-parallel to the patient's femoral axis. For example, one or both of the anterior and posterior cuts can be substantially angled posteriorly or “flexed” one or more degrees in the direction of a knee in flexion. This can help reduce the amount of bone resected on the anterior flange and can line up resection planes close to a typical primary TKA, which can aid in applying a primary TKA implant as a replacement, should a replacement be necessary.
For example, one or both of the anterior and posterior cuts can be rotated or flexed posteriorly (e.g., in flexion) by 5 degrees, 5 or more degrees, 7 degrees, 7 or more degrees, 7-8 degrees, 7.5 degrees, 7.5 or more degrees, 8 degrees, 8 or more degrees, 10 degrees, 10 or more degrees, 12.5 degrees, 12.5 or more degrees, 15 degrees, and/or 15 or more degrees.
As shown in
As with cuts that are substantially parallel to the patient's femoral axis, cuts that are substantially non-parallel to the patient's femoral axis, for example, cuts that lie in a particular flexed plane, can include cuts that are slightly oblique to the particular flexed plane.
One or more features of a tibial implant component can be preoperatively engineered based on patient-specific data to provide to the patient an optimized fit with respect to one or more parameters. For example, an engineered bone preserving tibial implant component can be designed and/or selected based on one or more of the patient's joint dimensions as seen, for example, on a series of two-dimensional images or a three-dimensional representation generated, for example, from a CT scan or MRI scan.
3.4.2 Contoured Portion of Superior Surface
As discussed above, a femoral bicompartmental implant or implant component 500 can include on its superior surface one or more contoured surface areas for mating to one or more of the patient's bone or cartilage surfaces. In certain embodiment, the topography of one or more of these contoured surfaces can substantially negatively match (e.g., be a negative complement to) the patient's bone and/or cartilage surface. For example, in certain embodiments, the topography of one or more of the contoured surfaces is designed using patient-specific data to substantially match one or more of the patient's bone or cartilage surfaces.
3.1.3 Anterior Flange
In certain embodiments, the bicompartmental implant or implant component 500 includes a flange edge that is patient-specific. For example, in certain embodiments, one or more anterior flange edges, such as the proximal edge, the lateral edge, and/or the medial edge, can be designed using patient-specific data to be an anatomic or near-anatomic match to the patient's anatomic structure. In certain embodiments, the one or more anterior flange edges can be designed from patient-specific data to supply an anterior flange having more than a specified minimum coverage of the patient's PF region. For example, certain embodiments include an anterior flange that supplies 30%, greater than 30%, 40%, greater than 40%, 50%, greater than 50%, 60%, greater than 60%, 70%, greater than 70%, 80%, greater than 80%, 90%, greater than 90%, 95%, greater than 95%, and/or 100% coverage to the PF region contact area at full extension. In certain embodiments, the patient-specific flange coverage substantially matches and covers the resected bone surface, thereby reducing blood loss from resected bone. In addition, one or more patient-specific flange edges can help to minimize gaps or overhang between the flange edge and the patient's anatomic structure. Such gaps, sometimes referred to as air-balls, typically are filled with cement during the surgical implantation of a traditional implant. However, loose cement can be a primary cause of premature implant wear.
In certain embodiments, the bicompartmental implant or implant component 500 includes an anterior flange edge that is engineered. For example, one or more aspects or features of the anterior flange, such as length, width, thickness, or edge design, can be designed to match a resected bone surface that itself is designed or selected to meet a target or parameter. To the extent that patient-specific data is used to engineer an optimized feature or aspect of the anterior flange, the implant 500, anterior flange, and/or engineered aspect or feature of the flange can be understood to be patient-engineered.
In certain embodiments, the bicompartmental implant or implant component 500 includes an anterior flange edge that is standard. For example, as illustrated in
3.4.4 Thickness and Width
The bicompartmental implant or implant component 500 can include varying thicknesses and/or widths across the entire implant or portions of the implant. In certain embodiments, the bicompartmental implant or implant component 500 includes one or more thicknesses and/or widths that are patient-specific. For example, the implant thickness, entirely or in part, can be designed using patient-specific data to match the corresponding thickness of the patient's anatomical structure that the implant replaces. Similarly, the implant width, entirely or in part, can be designed using patient-specific data to match the corresponding width of the patient's anatomical structure.
In certain embodiments, the bicompartmental implant or implant component 500 includes one or more thicknesses and/or widths that are engineered. For example, the implant thickness, entirely or in part, and/or the implant width, entirely or in part, can be engineered to include an optimized thickness or width. To the extent that patient-specific data is used to engineer an optimized width and/or thickness, the implant 500, engineered width, and/or engineered thickness can be understood to be patient-engineered.
In certain embodiments, the bicompartmental implant or implant component 500 includes a PF region having a reduced thickness relative to a traditional implant thickness. For example, relative to a traditional implant thickness of 3-4 mm, the bicompartmental implant or implant component 500 can include a PF region thickness that is reduced by 1 mm, greater than 1 mm, 2 mm, greater than 2 mm, 3 mm, and/or greater than 3 mm. In certain embodiments, an engineered minimum thickness can be used to prevent overstuffing of the PF joint and reduce the risks of limited flexion/extension patella catching and subluxation that are typically observed with traditional bicompartmental implants. For example, in certain embodiments, the thickness between the anterior cut on the superior surface and the PF region on the inferior surface of the bicompartmental implant or implant component 500 can be engineered to include a minimum thickness of 3 mm, 3 mm or less, 2.5 mm, 2.5 mm or less, 2.0 mm, 2.0 mm or less, 1.5 mm, 1.5 mm or less, 1.0 mm, and/or 1 mm or less.
In certain embodiments, the thickness and/or width of an implant 500 can fall within standardized parameters. For example, the implant 500 can include thicknesses between 2.0 mm and 4.0 mm. In certain embodiments, the width of the implant can be designed to be 1-2 mm shorter than the width of the coronal surfaces of the patient's distal femur.
3.4.5 PF Region of Inferior Surface
In certain embodiments, the bicompartmental implant or implant component 500 includes a PF region having one or more curvatures that are standard or engineered, entirely or in part. For example, again with reference to
The engineered and optimized curvatures can be derived from computer modeling and software automation, which can include steps to smooth or normalize patient-specific data. To the extent that patient-specific data is used to engineer an optimized coronal curvature and/or sagittal curvature of the trochlear groove in the implant 500, the implant and/or corresponding engineered curvature can be understood to be patient-engineered.
In certain preferred embodiments, the bicompartmental implant or implant component 500 includes a PF region having a coronal curvature that is engineered, at least in part, and a sagittal curvature that is patient-specific, at least in part.
In certain embodiments, the implant or implant component includes a trochlear groove coronal curvature having radii with lengths that are 20-25 mm, and/or 21-23 mm, and/or 22 mm. In certain embodiments, the implant or implant component includes a trochlear groove coronal curvature having radii with lengths that are 30-35 mm, and/or 31-33 mm, and/or 32 mm.
In certain embodiments, the bicompartmental implant or implant component 500 includes a PF region that is rotated externally, for example, the anterior resection and corresponding anterior portion of the implant 500 can be rotated externally by about 2 degrees, 2-3 degrees, 3 degrees, 3-4 degrees, 4 degrees, and/or by more than 4 degrees. This allows for a PF region with a relatively lower lateral condylar crest and trochlear groove and can provide additional relief from over-stuffing on the lateral side and reduction in the risk of subluxation and clunking. In certain embodiments, the bicompartmental implant or implant component 500 includes a PF region having a trochlear groove that is positioned laterally relative to the patient's trochlear groove, for example, by more than 1 mm, by 1-3 mm, and/or by 2 mm. In certain embodiments, the bicompartmental implant or implant component 500 includes a PF profile that is engineered to conform to the shape of a corresponding patella implant component.
The optimized PF profiles described above can: (1) allow for anatomy correction of defects while still maintaining useful patient-specific qualities such as trajectory and positioning; (2) lower stress on implant due to better conformity and the ability to balance out anatomy (such as high lateral ridge); (3) allow for smoother transition from relieved PF area to 3-4 mm main load bearing implant thickness; and/or (4) help maintain proper minimum (e.g., 3.0 mm) implant thickness of a relieved implant required to ensure proper implant strength.
3.4.6 Condylar Region of Inferior Surface
As shown in
In certain embodiments, the bicompartmental implant or implant component 500 includes a condylar surface having one or more curvatures that are patient-specific, entirely or in part. For example, with reference to
In certain embodiments, the bicompartmental implant or implant component 500 includes a condylar surface having one or more curvatures that are standard or engineered, entirely or in part. For example, again with reference to
The engineered and optimized curvatures can be derived from computer modeling and software automation, which can include steps to smooth or normalize patient-specific data. To the extent that patient-specific data is used to engineer an optimized condylar coronal curvature and/or condylar sagittal curvature for the implant 500, the implant and/or corresponding engineered curvature can be understood to be patient-engineered.
In preferred embodiments, the bicompartmental implant or implant component 500 is designed to include a condylar, bearing surface having a sagittal curvature with, at least in part, patient-specific radii and a coronal curvature with a standard curvature. For example, the coronal curvature can be selected by choosing from a family of standard curvatures the one standard curvature that is most similar to the external radii of the patient's corresponding femoral condyle. Alternatively, the coronal curvature can be selected by choosing from a family of standard curvatures a standard curvature with larger radii in order to achieve a less constraining biomechanical situation, or with smaller radii in order to achieve a more constraining biomechanical situation during knee motion.
The coronal radius of a typical human femoral condyle can range from 20 to 30 mm. In certain embodiments, the coronal radius of the condyle on a bicompartmental implant or implant component 500 can be greater than 20 mm, greater than 30 mm, between 20 and 40 mm, or between 30 and 40 mm.
In certain embodiments, the bicompartmental implant or implant component 500 design also can include a small cut (also referred to as a dive in) on the anterior portion of the condyle that is not covered by the implant. This can aid in sinking the edge of the implant or implant component into this bone cut and can allow for a smooth surface transition from cartilage to implant, for example, for patellar movement across the surface.
3.4.7 Pegs
A variety of peg configurations can be used for a bicompartmental implant or implant component 500. Exemplary configurations are illustrated as 901-911 of
A variety of peg sizes can be used for a bicompartmental implant or implant component 500. For example, a 7 mm peg, such as a “+” configured peg, can be used. The peg can be oriented on the device at any angle. For example, one or more pegs can be oriented in line with the femoral mechanical axis. Alternatively, one or more pegs can be oriented at an anterior-leaning angle as the peg extends from the implant, as shown in
3.4.8 Deriving a Patient-Specific Shape
3.4.9 Two-Component Bicompartmental Device
By dividing the surfaces of the medial and lateral compartments into independent articulating surfaces, as shown in
3.2 Patellar Implant Component
Turning to
3.3 Combinations of Implant Components
In another embodiment, the superior face of the implants 300, 400 or 500 can be shaped according to the femur. The shape can preferably be derived from the movement patterns of the femur relative to the tibial plateau thereby accounting for variations in femoral shape and tibiofemoral contact area as the femoral condyle flexes, extends, rotates, translates and glides on the tibia. The movement patterns can be measured using any current or future test know in the art such as fluoroscopy, MRI, gait analysis and combinations thereof.
In various embodiments, a joint implant may include two or more components that are slideably engageable forming a mobile bearing, as described in U.S. Patent Publication No. 2007-0100462. The mobile bearing can help provide more unconstrained or more physiologic motion in the joint, for example, knee motion of the femur relative to the tibia. In various embodiments, the joint implant may have one or more mobile bearings. The various components used for the mobile bearing joint implant may be composed of metal, plastic, ceramic or any other material know in the art. Different components may be composed of different materials, e.g. one metal and one plastic. Alternatively, only the same material may be used for the bearing surfaces, e.g. ceramic. The bearing surfaces of each component may vary in material composition e.g. ceramic on the side facing the femoral condyle and metal on the undersurface.
4. Implant Libraries
As described herein, repair systems of various sizes, curvatures and thicknesses can be obtained. These repair systems can be catalogued and stored to create a library of systems from which an appropriate system for an individual patient can then be selected. In other words, a defect, or an articular surface, is assessed in a particular subject and a pre-existing repair system having a suitable shape and size is selected from the library and, optionally, can be processed for further manipulation (e.g., shaping) and implantation.
5. Manufacturing
5.1 Shaping
In certain instances shaping of the repair material (e.g., of the repair system implant(s) and/or implant component(s)) may be required before or after formation (e.g., to achieve a desired thickness), for example, where the thickness of the required repair material is not uniform (e.g., where the patient-specific, patient-engineered, and/or standard dimensions require different thicknesses).
The replacement material can be shaped by any suitable technique including, but not limited to, casting techniques, mechanical abrasion, laser abrasion or ablation, radiofrequency treatment, cryoablation, variations in exposure time and concentration of nutrients, enzymes or growth factors and any other means suitable for influencing or changing the desired shape feature, such as thickness. See, e.g., WO 00/15153 to Mansmann published Mar. 23, 2000; If enzymatic digestion is used, certain sections of the replacement or regenerating material can be exposed to higher doses of the enzyme or can be exposed longer as a means of achieving different thicknesses and curvatures of the replacement or regenerating material in different sections of said material.
The material can be shaped manually and/or automatically, for example, using a device into which a pre-selected thickness and/or curvature has been input and then programming the device using the input information to achieve the desired shape. In addition to, or instead of, shaping the repair material, the site of implantation (e.g., bone surface, any cartilage material remaining, etc.) can also be shaped by any suitable technique in order to enhance integration of the repair material.
5.2 Sizing
The repair system can be formed or selected so that it achieves an anatomic or near anatomic fit or match with the surrounding or adjacent cartilage, subchondral bone, menisci and/or other tissue. Alternatively or in addition, the repair system can be engineered or selected so that it achieves an optimized fit or match with the surrounding or adjacent cartilage, subchondral bone, menisci, other tissue, and/or other implant structure in the joint. The shape of the repair system can be based on the analysis of an electronic image (e.g. MRI, CT, digital tomosynthesis, optical coherence tomography or the like). If the repair system is intended to replace an area of a diseased or modified anatomic structure, the anatomic, near anatomic, or optimized fit can be achieved based, at least in part, on a virtual reconstruction of the shape of the patient's healthy joint or an ideal joint in an electronic image.
In certain embodiments, a near normal cartilage surface at the position of the defect can be reconstructed by interpolating the healthy cartilage surface across the defect or area of disease. This can, for example, be achieved by describing the healthy cartilage by means of a parametric surface (e.g. a B-spline surface), for which the control points are placed such that the parametric surface follows the contour of the healthy cartilage and bridges the defect or area of disease. The continuity properties of the parametric surface can provide a smooth integration of the part that bridges the defect or area of disease with the contour of the surrounding healthy cartilage. The part of the parametric surface over the area of the defect or area of disease can be used to determine the shape or part of the shape of the repair system to match with the shape of the cartilage surface.
In other embodiments, a near normal cartilage surface at the position of the defect or area of disease can be reconstructed using morphological image processing. In a first step, the cartilage can be extracted from the electronic image using manual, semi-automated and/or automated segmentation techniques (e.g., manual tracing, region growing, live wire, model-based segmentation), resulting in a binary image. Defects in cartilage can appear as indentations that can be filled with a morphological closing operation performed in 2-D or 3-D with an appropriately selected structuring element. The closing operation is typically defined as a dilation followed by an erosion. A dilation operator sets the current pixel in the output image to 1 if at least one pixel of the structuring element lies inside a region in the source image. An erosion operator sets the current pixel in the output image to 1 if the whole structuring element lies inside a region in the source image. The filling of the defect or area of disease creates a new surface over the area of the defect or area of disease that can be used to determine the shape or part of the shape of the repair system to match with the surrounding cartilage or subchondral bone.
As described above, the repair system can be formed or selected from a library or database of systems of various sizes, curvatures and thicknesses so that it achieves a near anatomic fit or match, or an optimized fit, with the surrounding or adjacent cartilage and/or subchondral bone. These systems can be pre-made or made to order for an individual patient. In order to control the fit or match of the repair system with the surrounding or adjacent cartilage or subchondral bone or menisci and other tissues preoperatively, a software program can be used that projects the repair system over the anatomic position where it is implanted. Suitable software is commercially available and/or readily modified or designed by a skilled programmer.
In yet another embodiment, the repair system can be projected over the implantation site using one or more 3-D images. The cartilage and/or subchondral bone and other anatomic structures are extracted from a 3-D electronic image such as an MRI or a CT using manual, semi-automated and/or automated segmentation techniques. A 3-D representation of the cartilage and/or subchondral bone and other anatomic structures as well as the repair system is generated, for example using a polygon or NURBS surface or other parametric surface representation. For a description of various parametric surface representations see, for example Foley, J. D. et al., Computer Graphics: Principles and Practice in C; Addison-Wesley, 2nd edition, 1995).
The 3-D representations of the cartilage and/or subchondral bone and other anatomic structures and the repair system can be merged into a common coordinate system. The repair system can then be placed at the desired implantation site. The representations of the cartilage, subchondral bone, menisci and other anatomic structures and the repair system are rendered into a 3-D image, for example application programming interfaces (APIs) OpenGL® (standard library of advanced 3-D graphics functions developed by SGI, Inc.; available as part of the drivers for PC-based video cards, for example from www.nvidia.com for NVIDIA video cards or www.3dlabs.com for 3Dlabs products, or as part of the system software for Unix workstations) or DirectX® (multimedia API for Microsoft Windows® based PC systems; available from www.microsoft.com). The 3-D image can be rendered showing the cartilage, subchondral bone, menisci or other anatomic objects, and the repair system from varying angles, e.g. by rotating or moving them interactively or non-interactively, in real-time or non-real-time.
The software can be designed so that the repair system, including surgical tools and instruments with the best fit relative to the cartilage and/or subchondral bone is automatically selected, for example using some of the techniques described above. Alternatively, the operator can select a repair system, including surgical tools and instruments and project it or drag it onto the implantation site using suitable tools and techniques. The operator can move and rotate the repair systems in three dimensions relative to the implantation site and can perform a visual inspection of the fit between the repair system and the implantation site. The visual inspection can be computer assisted. The procedure can be repeated until a satisfactory fit has been achieved. The procedure can be performed manually by the operator; or it can be computer-assisted in whole or part. For example, the software can select a first trial implant that the operator can test. The operator can evaluate the fit. The software can be designed and used to highlight areas of poor alignment between the implant and the surrounding cartilage or subchondral bone or menisci or other tissues. Based on this information, the software or the operator can then select another implant and test its alignment. One of skill in the art will readily be able to select, modify and/or create suitable computer programs for the purposes described herein.
In another embodiment, the implantation site can be visualized using one or more cross-sectional 2-D images. Typically, a series of 2-D cross-sectional images are used. The 2-D images can be generated with imaging tests such as CT, MRI, digital tomosynthesis, ultrasound, or optical coherence tomography using methods and tools known to those of skill in the art. The repair system can then be superimposed onto one or more of these 2-D images. The 2-D cross-sectional images can be reconstructed in other planes, e.g. from sagittal to coronal, etc. Isotropic data sets (e.g., data sets where the slice thickness is the same or nearly the same as the in-plane resolution) or near isotropic data sets can also be used. Multiple planes can be displayed simultaneously, for example using a split screen display. The operator can also scroll through the 2-D images in any desired orientation in real time or near real time; the operator can rotate the imaged tissue volume while doing this. The repair system can be displayed in cross-section utilizing different display planes, e.g. sagittal, coronal or axial, typically matching those of the 2-D images demonstrating the cartilage, subchondral bone, menisci or other tissue. Alternatively, a three-dimensional display can be used for the repair system. The 2-D electronic image and the 2-D or 3-D representation of the repair system can be merged into a common coordinate system. The repair system can then be placed at the desired implantation site. The series of 2-D cross-sections of the anatomic structures, the implantation site and the repair system can be displayed interactively (e.g. the operator can scroll through a series of slices) or non-interactively (e.g. as an animation that moves through the series of slices), in real-time or non-real-time.
5.3 Rapid Prototyping
Rapid prototyping is a technique for fabricating a three-dimensional object from a computer model of the object. A special printer is used to fabricate the prototype from a plurality of two-dimensional layers. Computer software sections the representations of the object into a plurality of distinct two-dimensional layers and then a three-dimensional printer fabricates a layer of material for each layer sectioned by the software. Together the various fabricated layers form the desired prototype. More information about rapid prototyping techniques is available in U.S. Patent Publication No. 2002/0079601A1 to Russell et al., published Jun. 27, 2002. An advantage to using rapid prototyping is that it enables the use of free form fabrication techniques that use toxic or potent compounds safely. These compounds can be safely incorporated in an excipient envelope, which reduces worker exposure.
A powder piston and build bed is provided. Powder includes any material (metal, plastic, etc.) that can be made into a powder or bonded with a liquid. The power is rolled from a feeder source with a spreader onto a surface of a bed. The thickness of the layer is controlled by the computer. The print head then deposits a binder fluid onto the powder layer at a location where it is desired that the powder bind. Powder is again rolled into the build bed and the process is repeated, with the binding fluid deposition being controlled at each layer to correspond to the three-dimensional location of the device formation. For a further discussion of this process see, for example, U.S. Patent Publication No 2003/017365A1 to Monkhouse et al. published Sep. 18, 2003.
The rapid prototyping can use the two dimensional images obtained, as described above in Section 1, to determine each of the two-dimensional shapes for each of the layers of the prototyping machine. In this scenario, each two dimensional image slice would correspond to a two dimensional prototype slide. Alternatively, the three-dimensional shape of the defect can be determined, as described above, and then broken down into two dimensional slices for the rapid prototyping process. The advantage of using the three-dimensional model is that the two-dimensional slices used for the rapid prototyping machine can be along the same plane as the two-dimensional images taken or along a different plane altogether.
Rapid prototyping can be combined or used in conjunction with casting techniques. For example, a shell or container with inner dimensions corresponding to an repair system can be made using rapid prototyping. Plastic or wax-like materials are typically used for this purpose. The inside of the container can subsequently be coated, for example with a ceramic, for subsequent casting. Using this process, personalized casts can be generated.
Rapid prototyping can be used for producing repair systems. Rapid prototyping can be performed at a manufacturing facility. Alternatively, it may be performed in the operating room after an intraoperative measurement has been performed.
6. Surgical Techniques
Prior to performing surgery on a patient, the surgeon can preoperatively make a determination of the alignment of the knee using, for example, an erect AP x-ray. In performing preoperative assessment any lateral and patella spurs that are present can be identified.
Using standard surgical techniques, the patient is anesthetized and an incision is made in order to provide access to the portion or portions of the knee joint to be repaired. A medial portal can be used initially to enable arthroscopy of the joint. Thereafter, the medial portal can be incorporated into the operative incision and/or standard lateral portals can be used.
Once an appropriate incision has been made, the exposed compartment is inspected for integrity, including the integrity of the ligament structures. If necessary, portions of the meniscus can be removed as well as any spurs or osteophytes that were identified in the AP x-ray or that may be present within the joint. In order to facilitate removal of osteophytes, the surgeon may flex the knee to gain exposure to additional medial and medial-posterior osteophytes. Additionally, osteophytes can be removed from the patella during this process. If necessary, the medial and/or lateral meniscus can also be removed at this point, if desired, along with the rim of the meniscus.
As would be appreciated by those of skill in the art, evaluation of the medial cruciate ligament may be required to facilitate tibial osteophyte removal. Once the joint surfaces have been prepared, the desired repair system (e.g., implant(s) and/or implant component(s) can be inserted into the joint.
This Example illustrates a process for designing and assessing three different bicompartmental knee implants or implant components. This Example also illustrates three different bicompartmental knee implants or implant components having patient-specific and/or engineered aspects or features.
Three different bicompartmental implants or implant components having anterior and posterior cuts were designed for a particular patient's right knee having a femur segment volume of 156.7 cm3. The three implants or implant components then were compared to a bicompartmental implant or implant component having only a posterior bone cut.
As shown in
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As shown in
The entire disclosure of each of the publications, patent documents, and other references referred to herein is incorporated herein by reference in its entirety for all purposes to the same extent as if each individual source were individually denoted as being incorporated by reference.
The invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The foregoing embodiments are therefore to be considered in all respects illustrative rather than limiting on the invention described herein. Scope of the invention is thus indicated by the appended claims rather than by the foregoing description, and all changes that come within the meaning and range of equivalency of the claims are intended to be embraced therein.
This application claims priority to U.S. Ser. No. 61/284,022, filed Dec. 11, 2009, entitled “Patient-Specific and Patient-Engineered Orthopedic Implants.” This application also is a continuation-in-part of U.S. patent application Ser. No. 10/752,438, entitled “Patient Selectable Knee Joint Arthroplasty Devices,” filed Jan. 5, 2004. The above patent applications, and patent applications and other references mentioned herein below, are hereby incorporated by reference in their entities.
Number | Name | Date | Kind |
---|---|---|---|
3314420 | Smith et al. | Apr 1967 | A |
3605123 | Hahn | Sep 1971 | A |
3694820 | Scales et al. | Oct 1972 | A |
3798679 | Ewald | Mar 1974 | A |
3808606 | Tronzo | May 1974 | A |
3816855 | Saleh | Jun 1974 | A |
3843975 | Tronzo | Oct 1974 | A |
3852830 | Marmor | Dec 1974 | A |
3855638 | Pillar | Dec 1974 | A |
3938198 | Kahn et al. | Feb 1976 | A |
3987499 | Scharbach et al. | Oct 1976 | A |
3991425 | Martin et al. | Nov 1976 | A |
4052753 | Dedo | Oct 1977 | A |
4055862 | Farling | Nov 1977 | A |
4085466 | Goodfellow et al. | Apr 1978 | A |
4098626 | Graham et al. | Jul 1978 | A |
4164793 | Swanson | Aug 1979 | A |
4178641 | Grundei et al. | Dec 1979 | A |
4203444 | Bonnell et al. | May 1980 | A |
4207627 | Cloutier | Jun 1980 | A |
4211228 | Cloutier | Jul 1980 | A |
4213816 | Morris | Jul 1980 | A |
4219893 | Noiles | Sep 1980 | A |
4280231 | Swanson | Jul 1981 | A |
4309778 | Buechel et al. | Jan 1982 | A |
4340978 | Buechel et al. | Jul 1982 | A |
4344193 | Kenny | Aug 1982 | A |
4368040 | Weissman | Jan 1983 | A |
4436684 | White | Mar 1984 | A |
4459985 | McKay et al. | Jul 1984 | A |
4502161 | Wall | Mar 1985 | A |
4575805 | Moermann et al. | Mar 1986 | A |
4586496 | Keller | May 1986 | A |
4594380 | Chapin et al. | Jun 1986 | A |
4601290 | Effron et al. | Jul 1986 | A |
4609551 | Caplan et al. | Sep 1986 | A |
4627853 | Campbell et al. | Dec 1986 | A |
4637382 | Walker | Jan 1987 | A |
4655227 | Gracovetsky | Apr 1987 | A |
4662889 | Zichner et al. | May 1987 | A |
4699156 | Gracovetsky | Oct 1987 | A |
4714472 | Averill et al. | Dec 1987 | A |
4714474 | Brooks, Jr. et al. | Dec 1987 | A |
4769040 | Wevers | Sep 1988 | A |
4813436 | Au | Mar 1989 | A |
4822365 | Walker et al. | Apr 1989 | A |
4823807 | Russell et al. | Apr 1989 | A |
4841975 | Woolson | Jun 1989 | A |
4846835 | Grande | Jul 1989 | A |
4865607 | Witzel et al. | Sep 1989 | A |
4872452 | Alexson | Oct 1989 | A |
4880429 | Stone | Nov 1989 | A |
4883488 | Bloebaum et al. | Nov 1989 | A |
4888021 | Forte et al. | Dec 1989 | A |
4936853 | Fabian et al. | Jun 1990 | A |
4936862 | Walker et al. | Jun 1990 | A |
4944757 | Martinez et al. | Jul 1990 | A |
4979949 | Matsen, III et al. | Dec 1990 | A |
5007936 | Woolson | Apr 1991 | A |
5019103 | Van Zile et al. | May 1991 | A |
5021061 | Wevers et al. | Jun 1991 | A |
5041138 | Vacanti et al. | Aug 1991 | A |
5047057 | Lawes | Sep 1991 | A |
5059216 | Winters | Oct 1991 | A |
5067964 | Richmond et al. | Nov 1991 | A |
5099859 | Bell | Mar 1992 | A |
5108452 | Fallin | Apr 1992 | A |
5123927 | Duncan et al. | Jun 1992 | A |
5129908 | Peterson | Jul 1992 | A |
5133759 | Turner | Jul 1992 | A |
5147405 | Van et al. | Sep 1992 | A |
5150304 | Berchem et al. | Sep 1992 | A |
5152797 | Luckman et al. | Oct 1992 | A |
5154178 | Shah | Oct 1992 | A |
5162430 | Rhee et al. | Nov 1992 | A |
5171244 | Caspari et al. | Dec 1992 | A |
5171322 | Kenny | Dec 1992 | A |
5197985 | Caplan et al. | Mar 1993 | A |
5206023 | Hunziker | Apr 1993 | A |
5226914 | Caplan et al. | Jul 1993 | A |
5234433 | Bert et al. | Aug 1993 | A |
5245282 | Mugler, III et al. | Sep 1993 | A |
5246013 | Frank et al. | Sep 1993 | A |
5246530 | Bugle et al. | Sep 1993 | A |
5270300 | Hunziker | Dec 1993 | A |
5274565 | Reuben | Dec 1993 | A |
5282868 | Bahler | Feb 1994 | A |
5288797 | Khalil et al. | Feb 1994 | A |
5303148 | Mattson et al. | Apr 1994 | A |
5306307 | Senter et al. | Apr 1994 | A |
5306311 | Stone et al. | Apr 1994 | A |
5314478 | Oka et al. | May 1994 | A |
5314482 | Goodfellow et al. | May 1994 | A |
5320102 | Paul et al. | Jun 1994 | A |
5326363 | Aikins | Jul 1994 | A |
5326365 | Alvine | Jul 1994 | A |
5336266 | Caspari et al. | Aug 1994 | A |
5344459 | Swartz | Sep 1994 | A |
5360446 | Kennedy | Nov 1994 | A |
5365996 | Crook | Nov 1994 | A |
5368858 | Hunziker | Nov 1994 | A |
5403319 | Matsen, III et al. | Apr 1995 | A |
5405395 | Coates | Apr 1995 | A |
5413116 | Radke et al. | May 1995 | A |
5423828 | Benson | Jun 1995 | A |
5433215 | Athanasiou et al. | Jul 1995 | A |
5445152 | Bell et al. | Aug 1995 | A |
5448489 | Reuben | Sep 1995 | A |
5468787 | Braden et al. | Nov 1995 | A |
5478739 | Slivka et al. | Dec 1995 | A |
5489309 | Lackey et al. | Feb 1996 | A |
5501687 | Willert et al. | Mar 1996 | A |
5503162 | Athanasiou et al. | Apr 1996 | A |
5507820 | Pappas | Apr 1996 | A |
5510121 | Rhee et al. | Apr 1996 | A |
5522900 | Hollister | Jun 1996 | A |
5523843 | Yamane et al. | Jun 1996 | A |
5541515 | Tsujita | Jul 1996 | A |
5549690 | Hollister et al. | Aug 1996 | A |
5554190 | Draenert | Sep 1996 | A |
5556432 | Kubein-Meesenburg et al. | Sep 1996 | A |
5560096 | Stephens | Oct 1996 | A |
5564437 | Bainville et al. | Oct 1996 | A |
5571191 | Fitz | Nov 1996 | A |
5571205 | James | Nov 1996 | A |
5609640 | Johnson | Mar 1997 | A |
5611802 | Samuelson et al. | Mar 1997 | A |
5616146 | Murray | Apr 1997 | A |
5632745 | Schwartz | May 1997 | A |
5671741 | Lang et al. | Sep 1997 | A |
5681354 | Eckhoff | Oct 1997 | A |
5682886 | Delp et al. | Nov 1997 | A |
5683466 | Vitale | Nov 1997 | A |
5683468 | Pappas | Nov 1997 | A |
5684562 | Fujieda | Nov 1997 | A |
5687210 | Maitrejean et al. | Nov 1997 | A |
5690635 | Matsen, III et al. | Nov 1997 | A |
5702463 | Pothier et al. | Dec 1997 | A |
5723331 | Tubo et al. | Mar 1998 | A |
5728162 | Eckhoff | Mar 1998 | A |
5735277 | Schuster | Apr 1998 | A |
5741215 | D'Urso | Apr 1998 | A |
5749362 | Funda et al. | May 1998 | A |
5749874 | Schwartz | May 1998 | A |
5749876 | Duvillier et al. | May 1998 | A |
5759205 | Valentini | Jun 1998 | A |
5768134 | Swaelens et al. | Jun 1998 | A |
5769899 | Schwartz et al. | Jun 1998 | A |
5772595 | Votruba et al. | Jun 1998 | A |
5779651 | Buschmann et al. | Jul 1998 | A |
5786217 | Tubo et al. | Jul 1998 | A |
5810006 | Votruba et al. | Sep 1998 | A |
5824085 | Sahay et al. | Oct 1998 | A |
5824102 | Buscayret | Oct 1998 | A |
5827289 | Reiley et al. | Oct 1998 | A |
5832422 | Wiedenhoefer | Nov 1998 | A |
5835619 | Morimoto et al. | Nov 1998 | A |
5842477 | Naughton et al. | Dec 1998 | A |
5847804 | Sarver et al. | Dec 1998 | A |
5853746 | Hunziker | Dec 1998 | A |
5871018 | Delp et al. | Feb 1999 | A |
5871540 | Weissman et al. | Feb 1999 | A |
5871542 | Goodfellow et al. | Feb 1999 | A |
5871546 | Colleran et al. | Feb 1999 | A |
5879390 | Kubein-Meesenburg et al. | Mar 1999 | A |
5880976 | DiGioia, III et al. | Mar 1999 | A |
5885296 | Masini | Mar 1999 | A |
5885298 | Herrington et al. | Mar 1999 | A |
5897559 | Masini | Apr 1999 | A |
5899859 | Votruba et al. | May 1999 | A |
5900245 | Sawhney et al. | May 1999 | A |
5906643 | Walker | May 1999 | A |
5906934 | Grande et al. | May 1999 | A |
5913821 | Farese et al. | Jun 1999 | A |
5916220 | Masini | Jun 1999 | A |
5928945 | Seliktar et al. | Jul 1999 | A |
5939323 | Valentini et al. | Aug 1999 | A |
5961523 | Masini | Oct 1999 | A |
5968051 | Luckman et al. | Oct 1999 | A |
5968099 | Badorf et al. | Oct 1999 | A |
5972385 | Liu et al. | Oct 1999 | A |
5995738 | DiGioia, III et al. | Nov 1999 | A |
6002859 | DiGioia, III et al. | Dec 1999 | A |
6013103 | Kaufman et al. | Jan 2000 | A |
6039764 | Pottenger et al. | Mar 2000 | A |
6046379 | Stone et al. | Apr 2000 | A |
6057927 | Lévesque et al. | May 2000 | A |
6078680 | Yoshida et al. | Jun 2000 | A |
6081577 | Webber | Jun 2000 | A |
6082364 | Balian et al. | Jul 2000 | A |
6090144 | Letot et al. | Jul 2000 | A |
6093204 | Stone | Jul 2000 | A |
6102916 | Masini | Aug 2000 | A |
6102955 | Mendes et al. | Aug 2000 | A |
6110209 | Stone | Aug 2000 | A |
6112109 | D'Urso | Aug 2000 | A |
6120541 | Johnson | Sep 2000 | A |
6120543 | Kubein-Meesenburg et al. | Sep 2000 | A |
6126690 | Ateshian et al. | Oct 2000 | A |
6139578 | Lee et al. | Oct 2000 | A |
6146422 | Lawson | Nov 2000 | A |
6151521 | Guo et al. | Nov 2000 | A |
6152960 | Pappas | Nov 2000 | A |
6156069 | Amstutz | Dec 2000 | A |
6161080 | Aouni-Ateshian et al. | Dec 2000 | A |
6162208 | Hipps | Dec 2000 | A |
6165221 | Schmotzer | Dec 2000 | A |
6171340 | McDowell | Jan 2001 | B1 |
6175655 | George, III et al. | Jan 2001 | B1 |
6178225 | Zur et al. | Jan 2001 | B1 |
6187010 | Masini | Feb 2001 | B1 |
6190415 | Cooke et al. | Feb 2001 | B1 |
6197064 | Haines et al. | Mar 2001 | B1 |
6197325 | MacPhee et al. | Mar 2001 | B1 |
6200606 | Peterson et al. | Mar 2001 | B1 |
6203576 | Afriat et al. | Mar 2001 | B1 |
6205411 | DiGioia, III et al. | Mar 2001 | B1 |
6206927 | Fell et al. | Mar 2001 | B1 |
6214369 | Grande et al. | Apr 2001 | B1 |
6217894 | Sawhney et al. | Apr 2001 | B1 |
6219571 | Hargreaves et al. | Apr 2001 | B1 |
6224632 | Pappas et al. | May 2001 | B1 |
6235060 | Kubein-Meesenburg et al. | May 2001 | B1 |
6249692 | Cowin | Jun 2001 | B1 |
6251143 | Schwartz et al. | Jun 2001 | B1 |
6254639 | Peckitt | Jul 2001 | B1 |
6261296 | Aebi et al. | Jul 2001 | B1 |
6277151 | Lee et al. | Aug 2001 | B1 |
6281195 | Rueger et al. | Aug 2001 | B1 |
6283980 | Vibe-Hansen et al. | Sep 2001 | B1 |
6289115 | Takeo | Sep 2001 | B1 |
6289753 | Basser et al. | Sep 2001 | B1 |
6299645 | Ogden | Oct 2001 | B1 |
6299905 | Peterson et al. | Oct 2001 | B1 |
6302582 | Nord et al. | Oct 2001 | B1 |
6310477 | Schneider | Oct 2001 | B1 |
6310619 | Rice | Oct 2001 | B1 |
6316153 | Goodman et al. | Nov 2001 | B1 |
6319712 | Meenen et al. | Nov 2001 | B1 |
6322588 | Ogle et al. | Nov 2001 | B1 |
6325828 | Dennis et al. | Dec 2001 | B1 |
6328765 | Hardwick et al. | Dec 2001 | B1 |
6334006 | Tanabe | Dec 2001 | B1 |
6334066 | Rupprecht et al. | Dec 2001 | B1 |
6342075 | MacArthur | Jan 2002 | B1 |
6344043 | Pappas | Feb 2002 | B1 |
6344059 | Krakovits et al. | Feb 2002 | B1 |
6352558 | Spector | Mar 2002 | B1 |
6358253 | Torrie et al. | Mar 2002 | B1 |
6365405 | Salzmann et al. | Apr 2002 | B1 |
6371958 | Overaker | Apr 2002 | B1 |
6373250 | Tsoref et al. | Apr 2002 | B1 |
6375658 | Hangody et al. | Apr 2002 | B1 |
6379367 | Vibe-Hansen et al. | Apr 2002 | B1 |
6379388 | Ensign et al. | Apr 2002 | B1 |
6382028 | Wooh et al. | May 2002 | B1 |
6383228 | Schmotzer | May 2002 | B1 |
6387131 | Miehlke et al. | May 2002 | B1 |
6402786 | Insall et al. | Jun 2002 | B1 |
6429013 | Halvorsen et al. | Aug 2002 | B1 |
6443988 | Felt et al. | Sep 2002 | B2 |
6443991 | Running | Sep 2002 | B1 |
6444222 | Asculai et al. | Sep 2002 | B1 |
6450978 | Brosseau et al. | Sep 2002 | B1 |
6459948 | Ateshian et al. | Oct 2002 | B1 |
6468314 | Schwartz et al. | Oct 2002 | B2 |
6479996 | Hoogeveen et al. | Nov 2002 | B1 |
6482209 | Engh et al. | Nov 2002 | B1 |
6510334 | Schuster et al. | Jan 2003 | B1 |
6514514 | Atkinson et al. | Feb 2003 | B1 |
6520964 | Tallarida et al. | Feb 2003 | B2 |
6533737 | Brosseau et al. | Mar 2003 | B1 |
6556855 | Thesen | Apr 2003 | B2 |
6558421 | Fell et al. | May 2003 | B1 |
6560476 | Pelletier et al. | May 2003 | B1 |
6575980 | Robie et al. | Jun 2003 | B1 |
6591581 | Schmieding | Jul 2003 | B2 |
6592624 | Fraser et al. | Jul 2003 | B1 |
6623526 | Lloyd | Sep 2003 | B1 |
6626945 | Simon et al. | Sep 2003 | B2 |
6632235 | Weikel et al. | Oct 2003 | B2 |
6652587 | Felt et al. | Nov 2003 | B2 |
6679917 | Ek | Jan 2004 | B2 |
6690816 | Aylward et al. | Feb 2004 | B2 |
6692448 | Tanaka et al. | Feb 2004 | B2 |
6702821 | Bonutti | Mar 2004 | B2 |
6712856 | Carignan et al. | Mar 2004 | B1 |
6719794 | Gerber et al. | Apr 2004 | B2 |
6770078 | Bonutti | Aug 2004 | B2 |
6772026 | Bradbury et al. | Aug 2004 | B2 |
6799066 | Steines et al. | Sep 2004 | B2 |
6816607 | O'Donnell et al. | Nov 2004 | B2 |
6835377 | Goldberg et al. | Dec 2004 | B2 |
6855165 | Fell et al. | Feb 2005 | B2 |
6873741 | Li | Mar 2005 | B2 |
6893463 | Fell et al. | May 2005 | B2 |
6893467 | Bercovy | May 2005 | B1 |
6902582 | Kubein-Meesenburg et al. | Jun 2005 | B2 |
6905514 | Carignan et al. | Jun 2005 | B2 |
6911044 | Fell et al. | Jun 2005 | B2 |
6916341 | Rolston | Jul 2005 | B2 |
6923817 | Carson et al. | Aug 2005 | B2 |
6923831 | Fell et al. | Aug 2005 | B2 |
6932842 | Litschko et al. | Aug 2005 | B1 |
6964687 | Bernard et al. | Nov 2005 | B1 |
6966928 | Fell et al. | Nov 2005 | B2 |
6978188 | Christensen | Dec 2005 | B1 |
6984981 | Tamez-Peña et al. | Jan 2006 | B2 |
6998841 | Tamez-Peña et al. | Feb 2006 | B1 |
7020314 | Suri et al. | Mar 2006 | B1 |
7050534 | Lang | May 2006 | B2 |
7058159 | Lang et al. | Jun 2006 | B2 |
7058209 | Chen et al. | Jun 2006 | B2 |
7060101 | O'Connor et al. | Jun 2006 | B2 |
7105026 | Johnson et al. | Sep 2006 | B2 |
7115131 | Engh et al. | Oct 2006 | B2 |
7172596 | Coon et al. | Feb 2007 | B2 |
7174282 | Hollister et al. | Feb 2007 | B2 |
7184814 | Lang et al. | Feb 2007 | B2 |
7204807 | Tsoref | Apr 2007 | B2 |
7238203 | Bagga et al. | Jul 2007 | B2 |
7239908 | Alexander et al. | Jul 2007 | B1 |
7244273 | Pedersen et al. | Jul 2007 | B2 |
7245697 | Lang | Jul 2007 | B2 |
7264635 | Suguro et al. | Sep 2007 | B2 |
7292674 | Lang | Nov 2007 | B2 |
7326252 | Otto et al. | Feb 2008 | B2 |
7379529 | Lang | May 2008 | B2 |
7438685 | Burdette et al. | Oct 2008 | B2 |
7467892 | Lang et al. | Dec 2008 | B2 |
7468075 | Lang et al. | Dec 2008 | B2 |
7517358 | Petersen | Apr 2009 | B2 |
7520901 | Engh et al. | Apr 2009 | B2 |
7534263 | Burdulis, Jr. et al. | May 2009 | B2 |
7572293 | Rhodes et al. | Aug 2009 | B2 |
7603192 | Martin et al. | Oct 2009 | B2 |
7611519 | Lefevre et al. | Nov 2009 | B2 |
7611653 | Elsner et al. | Nov 2009 | B1 |
7615054 | Bonutti | Nov 2009 | B1 |
7618451 | Berez et al. | Nov 2009 | B2 |
7634119 | Tsougarakis et al. | Dec 2009 | B2 |
7678152 | Suguro et al. | Mar 2010 | B2 |
7718109 | Robb et al. | May 2010 | B2 |
7796791 | Tsougarakis et al. | Sep 2010 | B2 |
7799077 | Lang et al. | Sep 2010 | B2 |
7806896 | Bonutti | Oct 2010 | B1 |
7842092 | Otto et al. | Nov 2010 | B2 |
7881768 | Lang et al. | Feb 2011 | B2 |
7914582 | Felt et al. | Mar 2011 | B2 |
7935151 | Haines | May 2011 | B2 |
7981158 | Fitz et al. | Jul 2011 | B2 |
7983777 | Melton et al. | Jul 2011 | B2 |
8036729 | Lang et al. | Oct 2011 | B2 |
8062302 | Lang et al. | Nov 2011 | B2 |
8066708 | Lang et al. | Nov 2011 | B2 |
8070821 | Roger | Dec 2011 | B2 |
8077950 | Tsougarakis et al. | Dec 2011 | B2 |
8083745 | Lang et al. | Dec 2011 | B2 |
8086336 | Christensen | Dec 2011 | B2 |
8094900 | Steines et al. | Jan 2012 | B2 |
8105330 | Fitz et al. | Jan 2012 | B2 |
8112142 | Alexander et al. | Feb 2012 | B2 |
RE43282 | Alexander et al. | Mar 2012 | E |
8192498 | Wagner et al. | Jun 2012 | B2 |
8211181 | Walker | Jul 2012 | B2 |
8221430 | Park et al. | Jul 2012 | B2 |
8234097 | Steines et al. | Jul 2012 | B2 |
8236061 | Heldreth et al. | Aug 2012 | B2 |
8265730 | Alexander et al. | Sep 2012 | B2 |
8306601 | Lang et al. | Nov 2012 | B2 |
8311306 | Pavlovskaia et al. | Nov 2012 | B2 |
8337501 | Fitz et al. | Dec 2012 | B2 |
8337507 | Lang et al. | Dec 2012 | B2 |
8343218 | Lang et al. | Jan 2013 | B2 |
8352056 | Lee et al. | Jan 2013 | B2 |
8361076 | Roose et al. | Jan 2013 | B2 |
8366771 | Burdulis, Jr. et al. | Feb 2013 | B2 |
8369926 | Lang et al. | Feb 2013 | B2 |
8377073 | Wasielewski | Feb 2013 | B2 |
8377129 | Fitz et al. | Feb 2013 | B2 |
8380471 | Iannotti et al. | Feb 2013 | B2 |
8407067 | Uthgenannt et al. | Mar 2013 | B2 |
8439926 | Bojarski et al. | May 2013 | B2 |
8457930 | Schroeder | Jun 2013 | B2 |
8460304 | Fitz et al. | Jun 2013 | B2 |
8473305 | Belcher et al. | Jun 2013 | B2 |
8480754 | Bojarski et al. | Jul 2013 | B2 |
8486150 | White et al. | Jul 2013 | B2 |
8500740 | Bojarski et al. | Aug 2013 | B2 |
8521492 | Otto et al. | Aug 2013 | B2 |
8529568 | Bouadi | Sep 2013 | B2 |
8529630 | Bojarski et al. | Sep 2013 | B2 |
8532807 | Metzger | Sep 2013 | B2 |
8545569 | Fitz et al. | Oct 2013 | B2 |
8551099 | Lang et al. | Oct 2013 | B2 |
8551102 | Fitz et al. | Oct 2013 | B2 |
8551103 | Fitz et al. | Oct 2013 | B2 |
8551169 | Fitz et al. | Oct 2013 | B2 |
8556906 | Fitz et al. | Oct 2013 | B2 |
8556907 | Fitz et al. | Oct 2013 | B2 |
8556971 | Lang | Oct 2013 | B2 |
8556983 | Bojarski et al. | Oct 2013 | B2 |
8561278 | Fitz et al. | Oct 2013 | B2 |
8562611 | Fitz et al. | Oct 2013 | B2 |
8562618 | Fitz et al. | Oct 2013 | B2 |
8568479 | Fitz et al. | Oct 2013 | B2 |
8568480 | Fitz et al. | Oct 2013 | B2 |
8617172 | Fitz et al. | Dec 2013 | B2 |
8617242 | Philipp | Dec 2013 | B2 |
8623023 | Wong et al. | Jan 2014 | B2 |
8634617 | Tsougarakis et al. | Jan 2014 | B2 |
8638998 | Steines et al. | Jan 2014 | B2 |
8641716 | Fitz et al. | Feb 2014 | B2 |
8657827 | Fitz et al. | Feb 2014 | B2 |
8682052 | Fitz et al. | Mar 2014 | B2 |
8690945 | Fitz et al. | Apr 2014 | B2 |
8709089 | Lang et al. | Apr 2014 | B2 |
8735773 | Lang | May 2014 | B2 |
8768028 | Lang et al. | Jul 2014 | B2 |
8771365 | Bojarski et al. | Jul 2014 | B2 |
8882847 | Burdulis, Jr. et al. | Nov 2014 | B2 |
8906107 | Bojarski et al. | Dec 2014 | B2 |
8926706 | Bojarski et al. | Jan 2015 | B2 |
8932363 | Tsougarakis et al. | Jan 2015 | B2 |
8945230 | Lang et al. | Feb 2015 | B2 |
8974539 | Bojarski et al. | Mar 2015 | B2 |
9020788 | Lang et al. | Apr 2015 | B2 |
9180015 | Fitz et al. | Nov 2015 | B2 |
9186254 | Fitz et al. | Nov 2015 | B2 |
9308091 | Lang | Apr 2016 | B2 |
9320620 | Bojarski et al. | Apr 2016 | B2 |
9333085 | Fitz et al. | May 2016 | B2 |
9387079 | Bojarski et al. | Jul 2016 | B2 |
9387083 | Al et al. | Jul 2016 | B2 |
9495483 | Steines et al. | Nov 2016 | B2 |
9603711 | Bojarski et al. | Mar 2017 | B2 |
9700420 | Fitz et al. | Jul 2017 | B2 |
9737367 | Steines et al. | Aug 2017 | B2 |
20010001120 | Masini | May 2001 | A1 |
20010010023 | Schwartz et al. | Jul 2001 | A1 |
20010039455 | Simon et al. | Nov 2001 | A1 |
20020013626 | Geistlich et al. | Jan 2002 | A1 |
20020016543 | Tyler | Feb 2002 | A1 |
20020022884 | Mansmann | Feb 2002 | A1 |
20020045940 | Giannetti et al. | Apr 2002 | A1 |
20020052606 | Bonutti | May 2002 | A1 |
20020059049 | Bradbury et al. | May 2002 | A1 |
20020067798 | Lang | Jun 2002 | A1 |
20020068979 | Brown et al. | Jun 2002 | A1 |
20020072821 | Baker | Jun 2002 | A1 |
20020082703 | Repicci | Jun 2002 | A1 |
20020087274 | Alexander et al. | Jul 2002 | A1 |
20020106625 | Hung et al. | Aug 2002 | A1 |
20020111694 | Ellingsen et al. | Aug 2002 | A1 |
20020115647 | Halvorsen et al. | Aug 2002 | A1 |
20020120274 | Overaker et al. | Aug 2002 | A1 |
20020120281 | Overaker | Aug 2002 | A1 |
20020127264 | Felt et al. | Sep 2002 | A1 |
20020133230 | Repicci | Sep 2002 | A1 |
20020147392 | Steines et al. | Oct 2002 | A1 |
20020151986 | Asculai et al. | Oct 2002 | A1 |
20020156150 | Williams et al. | Oct 2002 | A1 |
20020173852 | Felt et al. | Nov 2002 | A1 |
20020177770 | Lang et al. | Nov 2002 | A1 |
20020183850 | Felt et al. | Dec 2002 | A1 |
20030015208 | Lang et al. | Jan 2003 | A1 |
20030031292 | Lang | Feb 2003 | A1 |
20030035773 | Totterman et al. | Feb 2003 | A1 |
20030045935 | Angelucci et al. | Mar 2003 | A1 |
20030055500 | Fell et al. | Mar 2003 | A1 |
20030055501 | Fell et al. | Mar 2003 | A1 |
20030055502 | Lang et al. | Mar 2003 | A1 |
20030060882 | Fell et al. | Mar 2003 | A1 |
20030060883 | Fell et al. | Mar 2003 | A1 |
20030060884 | Fell et al. | Mar 2003 | A1 |
20030060885 | Fell et al. | Mar 2003 | A1 |
20030063704 | Lang | Apr 2003 | A1 |
20030069591 | Carson et al. | Apr 2003 | A1 |
20030100953 | Rosa et al. | May 2003 | A1 |
20030158606 | Coon et al. | Aug 2003 | A1 |
20030216669 | Lang et al. | Nov 2003 | A1 |
20030225457 | Justin et al. | Dec 2003 | A1 |
20030236473 | Dore et al. | Dec 2003 | A1 |
20040006393 | Burkinshaw | Jan 2004 | A1 |
20040006394 | Lipman et al. | Jan 2004 | A1 |
20040062358 | Lang et al. | Apr 2004 | A1 |
20040081287 | Lang et al. | Apr 2004 | A1 |
20040098132 | Andriacchi et al. | May 2004 | A1 |
20040098133 | Carignan et al. | May 2004 | A1 |
20040102851 | Saladino | May 2004 | A1 |
20040102852 | Johnson et al. | May 2004 | A1 |
20040102866 | Harris et al. | May 2004 | A1 |
20040117015 | Biscup | Jun 2004 | A1 |
20040117023 | Gerbec et al. | Jun 2004 | A1 |
20040122521 | Lee et al. | Jun 2004 | A1 |
20040133276 | Lang et al. | Jul 2004 | A1 |
20040136583 | Harada et al. | Jul 2004 | A1 |
20040138754 | Lang et al. | Jul 2004 | A1 |
20040138755 | O'Connor et al. | Jul 2004 | A1 |
20040147927 | Tsougarakis et al. | Jul 2004 | A1 |
20040153079 | Tsougarakis et al. | Aug 2004 | A1 |
20040153162 | Sanford et al. | Aug 2004 | A1 |
20040153164 | Sanford et al. | Aug 2004 | A1 |
20040167390 | Alexander et al. | Aug 2004 | A1 |
20040167630 | Rolston | Aug 2004 | A1 |
20040193280 | Webster et al. | Sep 2004 | A1 |
20040204644 | Tsougarakis et al. | Oct 2004 | A1 |
20040204760 | Fitz et al. | Oct 2004 | A1 |
20040204766 | Siebel | Oct 2004 | A1 |
20040236424 | Berez et al. | Nov 2004 | A1 |
20050010106 | Lang et al. | Jan 2005 | A1 |
20050015153 | Goble et al. | Jan 2005 | A1 |
20050021042 | Marnay et al. | Jan 2005 | A1 |
20050033424 | Fell | Feb 2005 | A1 |
20050043807 | Wood | Feb 2005 | A1 |
20050055028 | Haines | Mar 2005 | A1 |
20050078802 | Lang et al. | Apr 2005 | A1 |
20050107883 | Goodfried et al. | May 2005 | A1 |
20050107884 | Johnson et al. | May 2005 | A1 |
20050119664 | Carignan et al. | Jun 2005 | A1 |
20050125029 | Bernard et al. | Jun 2005 | A1 |
20050148843 | Roose | Jul 2005 | A1 |
20050154471 | Aram et al. | Jul 2005 | A1 |
20050171612 | Rolston | Aug 2005 | A1 |
20050197710 | Naegerl | Sep 2005 | A1 |
20050197814 | Aram et al. | Sep 2005 | A1 |
20050203384 | Sati et al. | Sep 2005 | A1 |
20050216305 | Funderud | Sep 2005 | A1 |
20050226374 | Lang et al. | Oct 2005 | A1 |
20050234461 | Burdulis, Jr. et al. | Oct 2005 | A1 |
20050267584 | Burdulis et al. | Dec 2005 | A1 |
20050278034 | Johnson et al. | Dec 2005 | A1 |
20060009853 | Justin et al. | Jan 2006 | A1 |
20060015120 | Richard et al. | Jan 2006 | A1 |
20060058884 | Aram et al. | Mar 2006 | A1 |
20060069318 | Keaveny et al. | Mar 2006 | A1 |
20060094951 | Dean et al. | May 2006 | A1 |
20060111722 | Bouadi | May 2006 | A1 |
20060111726 | Felt et al. | May 2006 | A1 |
20060129246 | Steffensmeier | Jun 2006 | A1 |
20060136058 | Pietrzak | Jun 2006 | A1 |
20060149283 | May et al. | Jul 2006 | A1 |
20060149374 | Winslow et al. | Jul 2006 | A1 |
20060190086 | Clemow et al. | Aug 2006 | A1 |
20060210017 | Lang | Sep 2006 | A1 |
20060210018 | Lang | Sep 2006 | A1 |
20060235537 | Kuczynski et al. | Oct 2006 | A1 |
20060265078 | McMinn | Nov 2006 | A1 |
20070015995 | Lang | Jan 2007 | A1 |
20070038223 | Marquart et al. | Feb 2007 | A1 |
20070047794 | Lang et al. | Mar 2007 | A1 |
20070067032 | Felt et al. | Mar 2007 | A1 |
20070083266 | Lang | Apr 2007 | A1 |
20070100462 | Lang et al. | May 2007 | A1 |
20070118055 | McCombs | May 2007 | A1 |
20070118222 | Lang | May 2007 | A1 |
20070118243 | Schroeder et al. | May 2007 | A1 |
20070156171 | Lang et al. | Jul 2007 | A1 |
20070190108 | Datta et al. | Aug 2007 | A1 |
20070198022 | Lang et al. | Aug 2007 | A1 |
20070203430 | Lang et al. | Aug 2007 | A1 |
20070226986 | Park et al. | Oct 2007 | A1 |
20070233156 | Metzger | Oct 2007 | A1 |
20070233269 | Steines et al. | Oct 2007 | A1 |
20070239165 | Amirouche | Oct 2007 | A1 |
20070250169 | Lang | Oct 2007 | A1 |
20070255288 | Mahfouz et al. | Nov 2007 | A1 |
20070274444 | Lang | Nov 2007 | A1 |
20070276224 | Lang et al. | Nov 2007 | A1 |
20070276501 | Betz et al. | Nov 2007 | A1 |
20070282451 | Metzger et al. | Dec 2007 | A1 |
20080009950 | Richardson | Jan 2008 | A1 |
20080015433 | Alexander et al. | Jan 2008 | A1 |
20080025463 | Lang | Jan 2008 | A1 |
20080147072 | Park et al. | Jan 2008 | A1 |
20080031412 | Lang et al. | Feb 2008 | A1 |
20080058613 | Lang et al. | Mar 2008 | A1 |
20080058945 | Hajaj et al. | Mar 2008 | A1 |
20080119938 | Oh | May 2008 | A1 |
20080119940 | Otto et al. | May 2008 | A1 |
20080133020 | Blackwell et al. | Jun 2008 | A1 |
20080140212 | Metzger et al. | Jun 2008 | A1 |
20080170659 | Lang et al. | Jul 2008 | A1 |
20080172125 | Ek | Jul 2008 | A1 |
20080195108 | Bhatnagar et al. | Aug 2008 | A1 |
20080195216 | Philipp | Aug 2008 | A1 |
20080208348 | Fitz | Aug 2008 | A1 |
20080215059 | Carignan et al. | Sep 2008 | A1 |
20080219412 | Lang | Sep 2008 | A1 |
20080243127 | Lang et al. | Oct 2008 | A1 |
20080255445 | Neubauer et al. | Oct 2008 | A1 |
20080257363 | Schoenefeld et al. | Oct 2008 | A1 |
20080262624 | White et al. | Oct 2008 | A1 |
20080269596 | Revie et al. | Oct 2008 | A1 |
20080275452 | Lang et al. | Nov 2008 | A1 |
20080281328 | Lang et al. | Nov 2008 | A1 |
20080281329 | Fitz et al. | Nov 2008 | A1 |
20080281426 | Fitz et al. | Nov 2008 | A1 |
20080319948 | Berg et al. | Dec 2008 | A1 |
20090062925 | Samuelson | Mar 2009 | A1 |
20090076371 | Lang et al. | Mar 2009 | A1 |
20090076508 | Weinans et al. | Mar 2009 | A1 |
20090118830 | Fell | May 2009 | A1 |
20090131941 | Park et al. | May 2009 | A1 |
20090149977 | Schendel | Jun 2009 | A1 |
20090151736 | Belcher et al. | Jun 2009 | A1 |
20090222103 | Fitz et al. | Sep 2009 | A1 |
20090226068 | Fitz et al. | Sep 2009 | A1 |
20090228111 | Otto | Sep 2009 | A1 |
20090228113 | Lang et al. | Sep 2009 | A1 |
20090270868 | Park et al. | Oct 2009 | A1 |
20090276045 | Lang | Nov 2009 | A1 |
20090306676 | Lang et al. | Dec 2009 | A1 |
20090306785 | Farrar et al. | Dec 2009 | A1 |
20090312805 | Lang et al. | Dec 2009 | A1 |
20090326665 | Wyss et al. | Dec 2009 | A1 |
20090326666 | Wyss et al. | Dec 2009 | A1 |
20100042105 | Park et al. | Feb 2010 | A1 |
20100054572 | Tsougarakis et al. | Mar 2010 | A1 |
20100217270 | Polinski et al. | Aug 2010 | A1 |
20100274534 | Steines et al. | Oct 2010 | A1 |
20100292963 | Schroeder | Nov 2010 | A1 |
20100303313 | Lang et al. | Dec 2010 | A1 |
20100303317 | Tsougarakis et al. | Dec 2010 | A1 |
20100303324 | Lang et al. | Dec 2010 | A1 |
20100305575 | Wilkinson et al. | Dec 2010 | A1 |
20100305708 | Lang et al. | Dec 2010 | A1 |
20100305907 | Fitz et al. | Dec 2010 | A1 |
20100329530 | Lang et al. | Dec 2010 | A1 |
20100331991 | Wilkinson et al. | Dec 2010 | A1 |
20100332194 | McGuan et al. | Dec 2010 | A1 |
20110022179 | Andriacchi et al. | Jan 2011 | A1 |
20110029091 | Bojarski et al. | Feb 2011 | A1 |
20110029093 | Bojarski et al. | Feb 2011 | A1 |
20110046735 | Metzger et al. | Feb 2011 | A1 |
20110066245 | Lang et al. | Mar 2011 | A1 |
20110071645 | Bojarski et al. | Mar 2011 | A1 |
20110071802 | Bojarski et al. | Mar 2011 | A1 |
20110087332 | Bojarski et al. | Apr 2011 | A1 |
20110087465 | Mahfouz | Apr 2011 | A1 |
20110092804 | Schoenefeld et al. | Apr 2011 | A1 |
20110093108 | Ashby et al. | Apr 2011 | A1 |
20110125009 | Lang et al. | May 2011 | A1 |
20110144760 | Wong et al. | Jun 2011 | A1 |
20110184526 | White et al. | Jul 2011 | A1 |
20110218635 | Amis et al. | Sep 2011 | A1 |
20110264097 | Hodorek et al. | Oct 2011 | A1 |
20110266265 | Lang | Nov 2011 | A1 |
20110288669 | Sanford et al. | Nov 2011 | A1 |
20110295378 | Bojarski et al. | Dec 2011 | A1 |
20110305379 | Mahfouz | Dec 2011 | A1 |
20120022659 | Wentorf | Jan 2012 | A1 |
20120093377 | Tsougarakis et al. | Apr 2012 | A1 |
20120116203 | Vancraen et al. | May 2012 | A1 |
20120191205 | Bojarski et al. | Jul 2012 | A1 |
20120191420 | Bojarski et al. | Jul 2012 | A1 |
20120197408 | Lang et al. | Aug 2012 | A1 |
20120201440 | Steines et al. | Aug 2012 | A1 |
20120209394 | Bojarski et al. | Aug 2012 | A1 |
20120232669 | Bojarski et al. | Sep 2012 | A1 |
20120232670 | Bojarski et al. | Sep 2012 | A1 |
20120232671 | Bojarski et al. | Sep 2012 | A1 |
20120265496 | Mahfouz | Oct 2012 | A1 |
20120310362 | Li et al. | Dec 2012 | A1 |
20130006598 | Alexander et al. | Jan 2013 | A1 |
20130035766 | Meridew | Feb 2013 | A1 |
20130071828 | Lang et al. | Mar 2013 | A1 |
20130079781 | Fitz et al. | Mar 2013 | A1 |
20130079876 | Fitz et al. | Mar 2013 | A1 |
20130081247 | Fitz et al. | Apr 2013 | A1 |
20130103363 | Lang et al. | Apr 2013 | A1 |
20130110471 | Lang et al. | May 2013 | A1 |
20130144570 | Axelson, Jr. et al. | Jun 2013 | A1 |
20130158671 | Uthgenannt et al. | Jun 2013 | A1 |
20130165939 | Ries et al. | Jun 2013 | A1 |
20130197870 | Steines et al. | Aug 2013 | A1 |
20130199259 | Smith | Aug 2013 | A1 |
20130203031 | Mckinnon et al. | Aug 2013 | A1 |
20130211531 | Steines et al. | Aug 2013 | A1 |
20130245803 | Lang | Sep 2013 | A1 |
20130297031 | Hafez | Nov 2013 | A1 |
20140005792 | Lang et al. | Jan 2014 | A1 |
20140029814 | Fitz et al. | Jan 2014 | A1 |
20140039631 | Bojarski et al. | Feb 2014 | A1 |
20140086780 | Miller et al. | Mar 2014 | A1 |
20140109384 | Lang | Apr 2014 | A1 |
20140115872 | Steines et al. | May 2014 | A1 |
20140136154 | Bojarski et al. | May 2014 | A1 |
20140153798 | Tsougarakis et al. | Jun 2014 | A1 |
20140172111 | Lang et al. | Jun 2014 | A1 |
20140194996 | Bojarski et al. | Jul 2014 | A1 |
20140207243 | Fitz et al. | Jul 2014 | A1 |
20140208578 | Linderman et al. | Jul 2014 | A1 |
20140222157 | Al et al. | Aug 2014 | A1 |
20140222390 | Asseln et al. | Aug 2014 | A1 |
20140228860 | Steines et al. | Aug 2014 | A1 |
20140257508 | Bojarski et al. | Sep 2014 | A1 |
20150081029 | Bojarski et al. | Mar 2015 | A1 |
20150157461 | Burdulis, Jr. et al. | Jun 2015 | A1 |
20150216615 | Tsougarakis et al. | Aug 2015 | A1 |
20160038293 | Slamin et al. | Feb 2016 | A1 |
20160045317 | Lang et al. | Feb 2016 | A1 |
20160143744 | Bojarski et al. | May 2016 | A1 |
20160317312 | Bojarski et al. | Nov 2016 | A1 |
20160331467 | Slamin et al. | Nov 2016 | A1 |
20170056183 | Steines et al. | Mar 2017 | A1 |
Number | Date | Country |
---|---|---|
86209787 | Nov 1987 | CN |
2305966 | Feb 1999 | CN |
1480111 | Mar 2004 | CN |
101288597 | Oct 2008 | CN |
2306552 | Aug 1974 | DE |
3516743 | Nov 1986 | DE |
8909091 | Sep 1987 | DE |
44 34 539 | Apr 1996 | DE |
19803673 | Aug 1999 | DE |
19926083 | Dec 2000 | DE |
10135771 | Feb 2003 | DE |
0528080 | Feb 1993 | EP |
0600806 | Jun 1994 | EP |
0672397 | Sep 1995 | EP |
0681817 | Nov 1995 | EP |
0 704 193 | Apr 1996 | EP |
0626156 | Jul 1997 | EP |
0613380 | Dec 1999 | EP |
1074229 | Feb 2001 | EP |
1077253 | Feb 2001 | EP |
1120087 | Aug 2001 | EP |
1129675 | Sep 2001 | EP |
0732091 | Dec 2001 | EP |
0896825 | Jul 2002 | EP |
0814731 | Aug 2002 | EP |
1234552 | Aug 2002 | EP |
1234555 | Aug 2002 | EP |
0809987 | Oct 2002 | EP |
0833620 | Oct 2002 | EP |
1327423 | Jul 2003 | EP |
1329205 | Jul 2003 | EP |
0530804 | Jun 2004 | EP |
1437101 | Jul 2004 | EP |
1070487 | Sep 2005 | EP |
1886640 | Feb 2008 | EP |
2324799 | May 2011 | EP |
2173260 | Jan 2012 | EP |
2589720 | Nov 1985 | FR |
2740326 | Apr 1997 | FR |
1451283 | Sep 1976 | GB |
2291355 | Jan 1996 | GB |
2304051 | Mar 1997 | GB |
2348373 | Oct 2000 | GB |
56-083343 | Jul 1981 | JP |
61-247448 | Nov 1986 | JP |
1-249049 | Oct 1989 | JP |
5-503644 | Jun 1993 | JP |
05-184612 | Jul 1993 | JP |
7-236648 | Sep 1995 | JP |
8-173465 | Jul 1996 | JP |
8-506042 | Jul 1996 | JP |
9-206322 | Aug 1997 | JP |
11-19104 | Jan 1999 | JP |
11-276510 | Oct 1999 | JP |
2001-502565 | Feb 2001 | JP |
2002-85435 | Mar 2002 | JP |
2007-521881 | Aug 2007 | JP |
WO 8702882 | May 1987 | WO |
WO 90009769 | Sep 1990 | WO |
WO 9203108 | Mar 1992 | WO |
WO 93004710 | Mar 1993 | WO |
WO 93009819 | May 1993 | WO |
WO 93025157 | Dec 1993 | WO |
WO 95027450 | Oct 1995 | WO |
WO 95028688 | Oct 1995 | WO |
WO 95030390 | Nov 1995 | WO |
WO 95032623 | Dec 1995 | WO |
WO 96024302 | Aug 1996 | WO |
WO 97025942 | Jul 1997 | WO |
WO 97027885 | Aug 1997 | WO |
WO 97029703 | Aug 1997 | WO |
WO 97038676 | Oct 1997 | WO |
WO 97046665 | Dec 1997 | WO |
WO 98008469 | Mar 1998 | WO |
WO 98012994 | Apr 1998 | WO |
WO 9814128 | Apr 1998 | WO |
WO 9820816 | May 1998 | WO |
WO 98030617 | Jul 1998 | WO |
WO 98052498 | Nov 1998 | WO |
WO 99002654 | Jan 1999 | WO |
WO 99008598 | Feb 1999 | WO |
WO 99008728 | Feb 1999 | WO |
WO 99042061 | Aug 1999 | WO |
WO 99047186 | Sep 1999 | WO |
WO 99051719 | Oct 1999 | WO |
WO 00009179 | Feb 2000 | WO |
WO 00015153 | Mar 2000 | WO |
WO 0019911 | Apr 2000 | WO |
WO 00035346 | Jun 2000 | WO |
WO 00048550 | Aug 2000 | WO |
WO 00059411 | Oct 2000 | WO |
WO 00068749 | Nov 2000 | WO |
WO 00074554 | Dec 2000 | WO |
WO 00074741 | Dec 2000 | WO |
WO 0076428 | Dec 2000 | WO |
WO 01010356 | Feb 2001 | WO |
WO 01017463 | Mar 2001 | WO |
WO 01019254 | Mar 2001 | WO |
WO 01035968 | May 2001 | WO |
WO 01045764 | Jun 2001 | WO |
WO 0166021 | Sep 2001 | WO |
WO 01068800 | Sep 2001 | WO |
WO 01070142 | Sep 2001 | WO |
WO 01077988 | Oct 2001 | WO |
WO 01082677 | Nov 2001 | WO |
WO 01091672 | Dec 2001 | WO |
WO 0202021 | Jan 2002 | WO |
WO 0209623 | Feb 2002 | WO |
WO 02022013 | Mar 2002 | WO |
WO 02022014 | Mar 2002 | WO |
WO 02023483 | Mar 2002 | WO |
WO 02034310 | May 2002 | WO |
WO 02036147 | May 2002 | WO |
WO 0237423 | May 2002 | WO |
WO 02061688 | Aug 2002 | WO |
WO 02096268 | Dec 2002 | WO |
WO 03007788 | Jan 2003 | WO |
WO 03013373 | Feb 2003 | WO |
WO 03037192 | May 2003 | WO |
WO 03047470 | Jun 2003 | WO |
WO 03051210 | Jun 2003 | WO |
WO 03061522 | Jul 2003 | WO |
WO 03099106 | Dec 2003 | WO |
WO 04006811 | Jan 2004 | WO |
WO 04032806 | Apr 2004 | WO |
WO 04043305 | May 2004 | WO |
WO 04049981 | Jun 2004 | WO |
WO 04051301 | Jun 2004 | WO |
WO 04073550 | Sep 2004 | WO |
WO 05002473 | Jan 2005 | WO |
WO 05016175 | Feb 2005 | WO |
WO 05020850 | Mar 2005 | WO |
WO 05051239 | Jun 2005 | WO |
WO 05051240 | Jun 2005 | WO |
WO 05067521 | Jul 2005 | WO |
WO 05076974 | Aug 2005 | WO |
WO 06012370 | Feb 2006 | WO |
WO 06058057 | Jun 2006 | WO |
WO 06060795 | Jun 2006 | WO |
WO 06065774 | Jun 2006 | WO |
WO 06092600 | Sep 2006 | WO |
WO 07041375 | Apr 2007 | WO |
WO 07062079 | May 2007 | WO |
WO 07092841 | Aug 2007 | WO |
WO 07106172 | Sep 2007 | WO |
WO 07109641 | Sep 2007 | WO |
WO 08021494 | Feb 2008 | WO |
WO 08055161 | May 2008 | WO |
WO 08101090 | Aug 2008 | WO |
WO 08117028 | Oct 2008 | WO |
WO 08157412 | Dec 2008 | WO |
WO 09068892 | Jun 2009 | WO |
WO 09105495 | Aug 2009 | WO |
WO 09140294 | Nov 2009 | WO |
WO 10099231 | Sep 2010 | WO |
WO 10099353 | Sep 2010 | WO |
WO 10099359 | Sep 2010 | WO |
WO 10140036 | Dec 2010 | WO |
WO 10151564 | Dec 2010 | WO |
WO 11028624 | Mar 2011 | WO |
WO 11056995 | May 2011 | WO |
WO 11072235 | Jun 2011 | WO |
WO 11075697 | Jun 2011 | WO |
WO 11094540 | Aug 2011 | WO |
WO 11101474 | Aug 2011 | WO |
WO 12021894 | Feb 2012 | WO |
WO 12027150 | Mar 2012 | WO |
WO 12027185 | Mar 2012 | WO |
WO 12112694 | Aug 2012 | WO |
WO 12112698 | Aug 2012 | WO |
WO 12112701 | Aug 2012 | WO |
WO 12112702 | Aug 2012 | WO |
WO 13020026 | Feb 2013 | WO |
WO 13025814 | Feb 2013 | WO |
WO 13056036 | Apr 2013 | WO |
WO 13131066 | Sep 2013 | WO |
WO 13152341 | Oct 2013 | WO |
WO 14035991 | Mar 2014 | WO |
WO-2014145267 | Sep 2014 | WO |
WO-2014152533 | Sep 2014 | WO |
Entry |
---|
Adam et al., “NMR tomography of the cartilage structures of the knee joint with 3-D volume image combined with a rapid optical-imaging computer,” ROFO Fortschr. Geb. Rontgenstr. Nuklearmed., 150(1): 44-48 (1989) Abstract Only. |
Adam et al., “MR Imaging of the Knee: Three-Dimensional Volume Imaging Combined with Fast Processing,” J. Compt. Asst. Tomogr., 13(6): 984-988 (1989). |
Adams et al., “Quantitative Imaging of Osteoarthritis,” Semin Arthritis Rheum, 20(6) Suppl. 2: 26-39 (Jun. 1991). |
Ahmad et al., “Biomechanical and Topographic Considerations for Autologous Osteochondral Grafting in the Knee,” Am J Sports Med, 29(2): 201-206 (Mar.-Apr. 2001). |
Alexander, “Estimating the motion of bones from markers on the skin,” University of Illinois at Chicago (Doctoral Dissertation) (1998). |
Alexander et al., “Correcting for deformation in skin-based marker systems,” Proceedings of the 3rd Annual Gait and Clinical Movement Analysis Meeting, San Diego, CA (1998). |
Alexander et al., “Internal to external correspondence in the analysis of lower limb bone motion,” Proceedings of the 1999 ASME Summer Bioengineering Conference, Big Sky, Montana (1999). |
Alexander et al., “State estimation theory in human movement analysis,” Proceedings of the ASME International Mechanical Engineering Congress (1998). |
Alexander et al. “Optimization techniques for skin deformation correction,” International Symposium on 3-D Human Movement Conference, Chattanooga, TN, (1998). |
Alexander et al., “Dynamic Functional Imaging of the Musculoskeletal System,” ASME Winter International Congress and Exposition, Nashville, TN (1999). |
Allen et al., “Late degenerative changes after meniscectomy 5 factors affecting the knee after operations,” J Bone Joint Surg 66B: 666-671 (1984). |
Alley et al., “Ultrafast contrast-enhanced three dimensional MR Aagiography: State of the art,” Radiographics 18: 273-285 (1998). |
Andersson et al., “MacIntosh Arthroplasty in Rheumatoid Arthritis,” Acta. Orthrop. Scand. 45(2):245-259 (1974). |
Andriacchi, “Dynamics of knee Malalignment,” Orthop Clin North Am 25: 395-403 (1994). |
Andriacchi, et al., “A point cluster method for in vivo motion analysis: Applied to a study of knee kinematics,” J. Biomech Eng 120(12): 743-749 (1998). |
Andriacchi, et al., “Methods for evaluating the progression of Osterarthiritis,” Journal of Rehabilitation Research and Development 37(2): 163-170 (2000). |
Andriacchi et al., “Gait analysis as a tool to assess joint kinetics biomechanics of normal and pathological human articulating joints,” Nijhoff, Series E 93: 83-102 (1985). |
Andriacchi et al., “In vivo measurement of six-degrees-of-freedom knee movement during functional testing,” Transactions of the Orthopedic Research Society 698 (1995). |
Argenson et al., “Is There a Place for Patellofemoral Arthroplasty?,” Clinical Orthopaedics and Related Research No. 321, pp. 162-167 (1995). |
Aro et al., “Clinical Use of Bone Allografts,” Ann Med 25:403-412 (1993). |
Bashir, “Validation of Gadolinium-Enhanced MRI of FAF Measurement in Human Cartilage,” Intl. Soc. Mag. Resonance Med. (1998). |
Beaulieu et al., “Glenohumeral relationships during physiological shoulder motion and stress testing: Initial experience with open MRI and active Scan-25 plane registration,” Radiology (1999). |
Beaulieu et al., “Dynamic imaging of glenohumeral instability with open MRI,” Int. Society for Magnetic Resonance in Medicine Sydney, Australia (1998). |
Beckmann et al., “Noninvasive 3D MR Microscopy as Tool in Pharmacological Research: Application to a Model of Rheumatoid Arthritis,” Magn Reson Imaging 13(7): 1013-1017 (1995). |
Billet, Philippe, French Version—“Gliding Knee Prostheses—Analysis of Mechanical Failures”, Thesis, Medical School of Marseilles, 1982, 64 pages. |
Billet, Philippe, Translated Version—“Gliding Knee Prostheses—Analysis of Mechanical Failures”, Thesis, Medical School of Marseilles, 1982, 93 pages. |
Blazina et al., “Patellofemoral replacement: Utilizing a customized femoral groove replacement,” 5(1)53-55 (1990). |
Blum et al., “Knee Arthroplasty in Patients with Rheumatoid Arthritis,” Ann. Rheum. Dis. 33 (1): 1-11 (1974). |
Bobic, “Arthroscopic osteochondral autogaft transplantation in anterior cruciate ligament reconstruction: a preliminary clinical study,” Knee Surg Sports Traumatol Arthrosc 3(4): 262-264 (1996). |
Boe et al., “Arthroscopic partial meniscectomy in patients aged over 50,” J. Bone Joint Surg 68B: 707 (1986). |
Bogoch, et al., “Supracondylar Fractures of the Femur Adjacent to Resurfacing and MacIntosh Arthroplasties of the Knee in Patients with Rheumatoid Arthritis,” Clin. Orthop. (229):213-220 (Apr. 1988). |
Borthakur et al., “In Vivo Triple Quantum Filtered Sodium MRI of Human Articular Cartilage,” Proc. Intl. Soc. Mag. Resonance Med., 7:549 (1999). |
Brandt et al., In German: “CRIGOS—Development of a Compact Robot System for Image-Guided Orthopedic Surgery,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 645-649 (Jul. 2000). |
Brandt et al., English Translation with Certification: “CRIGOS—Development of a Compact Robot System for Image-Guided Orthopedic Surgery,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 645-649 (Jul. 2000). |
Bregler et al., “Recovering non-rigid 3D shape from image streams,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (Jun. 2000). |
Brett et al., “Quantitative Analysis of Biomedical Images,” Univ. of Manchester, Zeneca Pharmaceuticals, IBM UK, http://www.wiau.man.ac.uk/˜ads/imv (1998). |
Brittberg et al., “A critical analysis of cartilage repair,” Acta Orthop Scand 68(2): 186-191 (1997). |
Brittberg et al., “Treatment of deep cartilage defects in the knee with autologous chrondrocyte transplantation,” N Engl J Med 331(14): 889-895 (1994). |
Broderick et al., “Severity of articular cartilage abnormality in patients with osteoarthritis: evaluation with fast spin-echo MR vs. arthroscopy,” ARJ 162: 99-103 (1994). |
Brown, Ph.D., et al., “MRI Basic Principles and Applications”, Second Ed., Mark A. Brown and Richard C. Semelka, 1999, Wiley-Liss Inc., Title page and Table of Contents Pages Only (ISBN 0471330620). |
Burgkart et al., “Magnetic Resonance Imaging-Based Assessment of Cartilage Loss in Severe Osteoarthritis,” Arth Rheum; 44(9): 2072-2077 (Sep. 2001). |
Butterworth et al. “A T1O2 Dielectric-Filled Toroidal Resonator,” Depts of Biomedical Engineering, Medicine, Neurology, & Center for Nuclear Imaging Research, U. of Alabama at Birmingham, USA, 1 Page (1999). |
Butts et al., “Real-Time MR imaging of joint motion on an open MR imaging scanner,” Radiological Society of North America, 83rd Scientific Assembly and Annual Meeting, Chicago, IL (1997). |
Cameron, et al., “Review of a Failed Knee Replacement and Some Observations on the Design of a Knee Resurfacing Prosthesis,” Arch. Orthop Trauma Surg. 97(2):87-89 (1980). |
CAOS, “MIS meets CAOS Spring 2005 Symposium Schedule”, CAOS Spring 2005 Symposium, pp. 1-9, May 19, 2005. |
Carano et al. “Estimation of Erosive Changes in Rheumatoid Arthritis by Temporal Multispectral Analysis,” Proc. Intl. Soc. Mag. Resonance Med., 7:408 (1999). |
Carr et al., “Surface Interpolation with Radial Basis Functions for Medical Imaging,” IEEE Transactions on Medical Imaging, IEEE, Inc. New York, vol. 16, pp. 96-107 (Feb. 1997). |
Castriota-Scanderbeg et al., “Precision of Sonographic Measurement of Articular Cartilage: Inter- and Intraobserver Analysis,” Skeletal Radiol 25: 545-549 (1996). |
Chan et al., “Osteoarthritis of the Knee: Comparison of Radiography, CT and MR Imaging to Asses Extent and Severity,” AJR Am J Roentgenol 157(4): 799-806 (1991). |
Chelule et al., “Patient-Specific Template to Preserve Bone Stock in Total Knee Replacement: Preliminary Results”, 15th Annual ISTA Symposium, Sep. 2002, 1 page. |
Clarke et al., “Human Hip Joint Geometry and Hemiarthroplasty Selection,” The Hip. C.V. Mosby, St. Louis 63-89 (1975). |
Clary et al., “Experience with the MacIntosh Knee Prosthesis,” South Med. J. 65(3):265-272 (1972). |
Cohen et al., “Knee cartilage topography, thickness, and contact areas from MRI: in-vitro calibration and in-vivo measurements,” Osteoarthritis and Cartilage 7: 95-109 (1999). |
Conaty, et al., “Surgery of the Hip and Knee in Patients with Rheumatoid Arthritis,” J. Bone Joint Surg. Am. 55(2):301-314 (1973). |
Creamer et al., “Quantitative Magnetic Resonance Imaging of the Knee: A Method of Measuring Response to Intra-Articular Treatments,” Ann Rheum Dis. 378-381 (1997). |
Daniel et al., “Breast cancer-gadolinium-enhanced MR imaging with a 0.5T open imager and three-point Dixon technique,” Radiology 207(1): 183-190 (1998). |
Dardzinski et al., “Entropy Mapping of Articular Cartilage”, ISMRM Seventh Scientific Meeting, Philadelphia, PA (1999) T. 41, V. II. |
Dardzinski et al. “T1-T2 Comparison in Adult Articular Cartilage,” ISMRM Seventh Scientific Meeting, Philadelphia, PA (May 22-28, 1999). |
De Winter et al., “The Richards Type II Patellofemoral Arthroplasty”, Acta Orthop Scand 2001; 72 (5): 487-490. |
Disler, “Fat-suppressed three-dimensional spoiled gradient-recalled MR imaging: assessment of articular and physeal hyaline cartilage,” AJR 169: 1117-1123 (1997). |
Disler et al., “Fat-suppressed three-dimensional spoiled gradient-echo MR imaging of hyaline cartilage defects in the knee: comparison with standard MR imaging and arthroscopy,” AJR 167: 127-132 (1996). |
Disler et al., “Detection of knee hyaline cartilage defects using fat-suppressed three-dimensional spoiled gradient-echo MR imaging: comparison with standard MR imaging and correlation with arthroscopy,” AJR 165: 377-382 (1995). |
Doherty et al., Osteoarthritis, Oxford Textbook of Theumatology, Oxford University Press 959-983 (1993). |
Dougados et al., “Longitudinal radiologic evaluation of osteoarthritis of the knee,” J Theumatol 19: 378-384 (1992). |
Du et al., “Vessel enhancement filtering in three-dimensional MR angiography,” J. Magn Res Imaging 5: 151-157 (1995). |
Du et al., “Reduction of partial-volume artifacts with zero filled interpolation in three-dimensional MR Angiography,” J Magn Res Imaging 4: 733-741 (1994). |
Dufour et al., “A Technique for the Dynamical Evaluation of the Acromiohumeral Distance of the Shoulder in the Seated Position under Open-field MRI,” Proc. Intl. Soc. Mag. Resonance Med., 7:406 (1999). |
Dumoulin et al., “Real-time position monitoring of invasive devises using magnetic resonance,” Magn Reson Med 29: 411-5 (1993). |
Dupuy et al., “Quantification of Articular Cartilage in the Knee with Three-Dimensional MR Imaging,” Acad Radiol 3: 919-924 (1996). |
Eckstein et al., “Determination of Knee Joint Cartilage Thickness Using Three-Dimensional Magnetic Resonance Chondro-Crassometry (3D MR-CCM),” Magn. Reson. Med. 36(2):256-265, (1996). |
Eckstein et al., “Effect of Gradient and Section Orientation on Quantitative Analyses of Knee Joint Cartilage,” Journal of Magnetic Resonance Imaging 11: 161-167 (2000). |
Eckstein et al., “Effect of Physical Exercise on Cartilage Volume and Thickness In Vivo: An MR Imaging Study,” Radiology 207: 243-248 (1998). |
Eckstein et al., “Functional Analysis of Articular Cartilage Deformation, Recovery, and Fluid Flow Following Dynamic Exercise In Vivo,” Anatomy and Embryology 200: 419-424 (1999). |
Eckstein et al., “In Vivo Reproducibility of Three-Dimensional Cartilage Volume and Thickness Measurements With MR Imaging”, AJR 170(3): 593-597 (1998). |
Eckstein et al., “New Quantitative Approaches With 3-D MRI: Cartilage Morphology, Function and Degeneration”, Medical Imaging International, Nov.-Dec. 1998. |
Eckstein et al., “Side Differences of Knee Joint Cartilage Volume, Thickness, and Surface Area, and Correlation With Lower Limb Dominance—An MRI-Based Study,” Osteoarthritis and Cartilage 10: 914-921 (2002). |
Eckstein et al., Accuracy of Cartilage Volume and Thickness Measurements with Magnetic Resonance Imaging, Clin. Orthop. 1998; 352: 137-148 T. 60 V. II. |
Eckstein et al., “Magnetic Resonance Chondro-Crassometry (MR CCM): A Method for Accurate Determination of Articular Cartilage Thickness?” Magn. Reson. Med. 35: 89-96 (1996). |
Eckstein et al., “The Influence of Geometry on the Stress Distribution in Joints—a Finite Element Analysis,” Anat Embryol, 189: 545-552 (1994). |
Eckstein et al., “The Morphology of Articular Cartilage Assessed by Magnetic Resonance Imaging: Reproducibility and Anatomical Correlation,” Sur. Radiol Anat 16: 429-438 (1994). |
Elting et al., “Unilateral frame distraction: proximal tibial valgus osteotomy for medial gonarthritis,” Contemp Orthrop 27(6): 522-524 (1993). |
Faber et al., “Gender Differences in Knee Joint Cartilage Thickness, Volume and Articular Surface Areas: Assessment With Quantitative Three-Dimensional MR Imaging,” Skeletal Radiology 30 (3): 144-150 (2001). |
Faber et al., “Quantitative Changes of Articular Cartilage Microstructure During Compression of an Intact Joint,” Proc. Intl. Soc. Mag. Resonance Med., 7:547 (1999). |
Falcao et al., “User-steered image segmentation paradigms: Live wire and live lane,” Graphical Models and Image Processing 60: 233-260 (1998). |
Felson et al., “Weight Loss Reduces the risk for symptomatic knee osteoarthritis in women: the Framingham study,” Ann Intern Med 116: 535-539 (1992). |
Gandy et al., “One-Year Longitudinal Study of Femoral Cartilage Lesions in Knee Arthritis,” Proc. Intl. Soc. Mag. Resonance Med., 7:1032 (1999). |
Garrett, “Osteochondral allografts for reconstruction of articular defects of the knee,” Instr Course Lect 47: 517-522 (1998). |
Gerscovich, “A Radiologist's Guide to the Imaging in the Diagnosis and Treatment of Developmental Dysplasia of the Hip,” Skeletal Radiol 26: 447-456 (1997). |
Ghelman et al., “Kinematics of the Knee After Prosthetic Replacements”, Clin. Orthop. May 1975: (108): 149-157. |
Ghosh et al., “Watershed Segmentation of High Resolution Articular Cartilage Images for Assessment of Osteoarthritis,” International Society for Magnetic Resonance in Medicine, Philadelphia, (1999). |
Glaser et al., “Optimization and Validation of a Rapid Highresolution T1-W 3-D Flash Waterexcitation MR Sequence for the Quantitative Assessment of Articular Cartilage Volume and Thickness,” Magnetic Resonance Imaging 19: 177-185 (2001). |
Goodwin et al., “MR Imaging of Articular Cartilage: Striations in the Radial Layer Reflect the Fibrous Structure of Cartilage,” Proc. Intl. Soc. Mag. Resonance Med., 7:546 (1999). |
Gouraud, “Continuous shading of curved surfaces,” IEEE Trans on Computers C-20(6) (1971). |
Graichen et al., “Three-Dimensional Analysis of the Width of the Subacromial Space in Healthy Subjects and Patients With Impingement Syndrome,” American Journal of Roentgenology 172: 1081-1086 (1999). |
Hafez et al., “Computer Assisted Total Knee Replacement: Could a Two-Piece Custom Template Replace the Complex Conventional Instrumentations?” Session 6: Novel Instruments; Computer Aided Surgery, Session 6, vol. 9, No. 3, pp. 93-94 (Jun. 2004). |
Hafez et al., “Computer-assisted Total Knee Arthroplasty Using Patient-specific Templating,” Clinical Orthopaedics and Related Research, No. 444, pp. 184-192 (Mar. 2006). |
Hall et al., “Quantitative MRI for Clinical Drug Trials of Joint Diseases; Virtual Biopsy of Articular Cartilage” NIH-FDA Conf. on Biomarkers and Surrogate Endpoints: Advancing Clinical Research and Applications (1998). |
Hardy et al., “Measuring the Thickness of Articular Cartilage From MR Images,” J. Magnetic Resonance Imaging 13: 120-126 (2001). |
Hardy et al., “The Influence of the Resolution and Contrast on Measuring the Articular Cartilage Volume in Magnetic Resonance Images” Magn Reson Imaging. 18(8): 965-972 (Oct. 2000). |
Hargreaves et al., “MR Imaging of Articular Cartilage Using Driven Equilibrium,” Magnetic Resonance in Medicine 42(4): 695-703 (Oct. 1999). |
Hargreaves et al., “Technical considerations for DEFT imaging,” International Society for Magnetic Resonance in Medicine, Sydney, Australia (Apr. 17-24, 1998). |
Hargreaves et al., “Imaging of articular cartilage using driven equilibrium,” International Society for Magnetic Resonance in Medicine, Sydney, Australia (Apr. 17-24, 1998). |
Hastings et al., “Double Hemiarthroplasty of the Knee in Rheumatoid Arthritis,” a Survey of Fifty Consecutive Cases, J. Bone Joint Surg. Br. 55(1):112-118 (1973). |
Haubner M, et al., “A Non-Invasive Technique for 3-Dimensional Assessment of Articular Cartilage Thickness Based on MRI Part @: Validation Using CT Arthrography,” Magn Reson Imaging; 15(7): 805-813 (1997). |
Haut et al., “A High Accuracy Three-Dimensional Coordinate Digitizing System for Reconstructing the Geometry of Diarthrodial Joints,” J. Biomechanics 31: 571-577 (1998). |
Hayes et al., “Evaluation of Articular Cartilage: Radiographic and Cross-Sectional Imaging Techniques,” Radiographics 12: 409-428 (1992). |
Henderson et al., “Experience with the Use of the Macintosh Prosthesis in Knees of Patients with Pheumatoid Arthritis,” South. Med. J. 62(11):1311-1315 (1969). |
Henkelman, “Anisotropy of NMR Properties of Tissues”, Magn Res Med. 32: 592-601 (1994). |
Herberhold et al., “An MR-Based Technique for Quantifying the Deformation of Articular Cartilage During Mechanical Loading in an Intact Cadaver Joint,” Magnetic Resonance in Medicine 39(5): 843-850 (1998). |
Herberhold, “In Situ Measurement of Articular Cartilage Deformation in Intact Femorapatellar Joints Under Static Loading”, Journal of biomechanics 32: 1287-1295 (1999). |
Herrmann et al., “High Resolution Imaging of Normal and Osteoarthritic Cartilage with Optical Coherence Tomogrqaphy,” J. Rheumatoil 26: 627-635 (1999). |
High et al., “Early Macromolecular Collagen Changes in Articular Cartilage of Osteoarthritis (OA): An In Vivo MT-MRI and Histopathologic Study,” Proc. Intl. Soc. Mag. Resonance Med., 7:550 (1999). |
Hohe, “Surface Size, Curvature Analysis, and Assessment of Knee Joint Incongruity With MR Imaging In Vivo”, Magnetic Resonance in Medicine, 47: 554-561 (2002). |
Holdsworth et al., “Benefits of Articular Cartilage Imaging at 4 Tesla: An In Vivo Study of Normal Volunteers,” Proc. Intl. Soc. Mag. Resonance Med., 7:1028 (1999). |
Hughes et al., “Technical Note: A Technique for Measuring the Surface Area of Articular Cartilage in Acetabular Fractures,” Br. J. Radiol; 67: 584-588 (1994). |
Husmann et al., “Three-Dimensional Morphology of the Proximal Femur,” J. Arthroplasty; 12(4): 444-450 (Jun. 1997). |
Hyhlik-Durr et al., “Precision of Tibial Cartilage Morphometry with a coronal water-excitation MR sequence,” European Radiology 10(2): 297-303 (2000). |
Ihara H., “Double-Contrast CT Arthrography of the Cartilage of the Patellofemoral Joint,” Clin. Orthop.; 198: 50-55 (Sep. 1985). |
Iida et al., “Socket Location in Total Hip Replacement: Preoperative Computed Tomography and Computer Simulation” Acta Orthop Scand; 59(1): 1-5 (1998). |
Irarrazabal et al., “Fast three-dimensional magnetic resonance imaging,” Mag Res. Med. 33: 656-662 (1995). |
Jessop et al., “Follow-up of the MacIntosh Arthroplasty of the Knee Joint,” Rheumatol Phys. Med. 11(5):217-224 (1972). |
Johnson et al., “The distribution of load across the knee. A comparison of static and dynamic measurements,” J. Bone Joint Surg 62B: 346-349 (1980). |
Johnson, “In vivo contact kinematics of the knee joint: Advancing the point cluster technique,” Ph.D. Thesis, University of Minnesota (1999). |
Johnson et al., “Development of a knee wear method based on prosthetic in vivo slip velocity,” Transaction of the Orthopedic Research Society, 46th Annual Meeting (Mar. 2000). |
Jonsson et al., “Precision of Hyaline Cartilage Thickness Measurements,” Acta Radiol 1992; 33(3): 234-239 (1992). |
Kaneuji et al., “Three Dimensional Morphological Analysis of the Proximal Femoral Canal, Using Computer-Aided Design System, in Japanese Patients with Osteoarthrosis of the Hip,” J. Orthop Sci; 5(4): 361-368 (2000). |
Karvonen et al., “Articular Cartilage Defects of the Knee: Correlation Between Magnetic Resonance Imaging and Gross Pathology,” Ann Rheum Dis. 49: 672-675 (1990). |
Kass et al., “Snakes: Active contour models.,” Int J Comput Vision 1: 321-331 (1988). |
Kates, et al., “Experiences of Arthroplasty of the Rheumatoid Knee Using MacIntosh Prostheses,” Ann. Rheum. Dis. 28(3):328 (1969). |
Kaufman et al., “Articular Cartilage Sodium content as a function of compression” Seventh Scientific Meeting of ISMRM, p. 1022, 1999 T. 105, V. III. |
Kay et al., The MacIntosh Tibial Plateau Hemiprosthesis for the Rheumatoid Knee, J. Bone Joint Surg. Br. 54(2):256-262 (1972). |
Kidder et al., “3D Model Acquisition, Design, Planning and Manufacturing of Orthopaedic Devices: A Framework,” Proceedings of the SPIE—Advanced Sensor and Control-System Interface, Boston, MA, vol. 2911, pp. 9-22, 21 (Nov. 1996). |
Klosterman et al., “T2 Measurements in Adult Patellar Cartilage at 1.5 and 3.0 Tesla,” ISMRM Seventh Scientific Meeting, Philadelphia, PA, (May 22-28, 1999). |
Knauss et al., “Self-Diffusion of Water in Cartilage and Cartilage Components as Studied by Pulsed Field Gradient NMR,” Magnetic Resonance in Medicine 41:285-292 (1999). |
Koh et al., “Visualization by Magnetic Resonance Imaging of Focal Cartilage Lesions in the Excised Mini-Pig Knee,” J. Orthop. Res; 14(4): 554-561 (Jul. 1996). |
Korhonen et al., “Importance of the Superficial Tissue Layer for the Indentation Stiffness of Articular Cartilage,” Med. Eng. Phys; 24(2): 99-108 (Mar. 2002). |
Korkala et al., “Autogenous Osteoperiosteal Grafts in the Reconstruction of Full-Thickness Joint Surface Defects,” Int. Orthop.; 15(3): 233-237 (1991). |
Kshirsagar et al., “Measurement of Localized Cartilage Volume and Thickness of Human Knee Joints by Computer Analysis of Three-Dimensional Magnetic Resonance Images,” Invest Radiol. 33(5): 289-299 (May 1998). |
Kwak et al., “Anatomy of Human Patellofemoral Joint Articular Cartilage: Surface Curvature Analysis,” J. Orthop. Res.; 15: 468-472 (1997). |
LaFortune et al., “Three dimensional kinematics of the human knee during walking,” J. Biomechanics 25: 347-357 (1992). |
Lam et al., “X-Ray Diagnosis: A Physician's Approach”, Editor Lam, 1998, Springer-Verlag publishers, Title page and Index Only (ISBN 9813083247). |
Lang et al., “Functional joint imaging: a new technique integrating MRI and biomotion studies,” International Society for Magnetic Resonance in Medicine, Denver (Apr. 18-24, 2000). |
Lang et al., Risk factors for progression of cartilage loss: a longitudinal MRI study. European Society of Musculoskeletal Radiology, 6th Annual Meeting, Edinburgh, Scotland (1999). |
Lang et al., Cartilage imaging: comparison of driven equilibrium with gradient-echo, SPAR, and fast spin-echo sequences. International Society for Magnetic Resonance in Medicine, Sydney, Australia, (Apr. 17-24, 1998). |
Ledingham et al., “Factors affecting radiographic progression of knee osteoarthritis,” Ann Rheum Dis 54: 53-58 (1995). |
Leenslag et al., “A Porous Composite for Reconstruction of Meniscus Lesions,” Biological and Biomechanical Perform. of Biomaterials, Elsevier Science Publishers Amsterdam pp. 147-152 (1986). |
Lefebvre et al., “Automatic Three-Dimensional Reconstruction and Characterization of Articular Cartilage from High-Resolution Ultrasound Acquisitions,” Ultrasound Med. Biol.; 24(9): 1369-1381 (Nov. 1998). |
Li et al., A Boundary Optimization Algorithm for Delineating Brain Objects from CT Scans: Nuclear Science Symposium and Medical Imaging Conference 1993 IEEE Conference Record, San Francisco, CA (1993). |
Lin et al., “Three-Dimensional Characteristics of Cartilagenous and Bony Components of Dysplastic Hips in Children: Three-Dimensional Computed Tomography Quantitative Analysis,” J. Pediatr. Orthop.; 17: 152-157 (1997). |
Lorensen et al., “Marching cubes: a high resolution 3d surface construction algorithm,” Comput Graph 21: 163-169 (1987). |
Losch et al., “A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI part 1: development of a computational method,” Magn Res Imaging 15(7): 795-804 (1997). |
Lu et al., “Bone position estimation from skin marker coordinates using globals optimization with joint constraints,” J Biomechanics 32: 129-134 (1999). |
Lu et al., “In vitro degradation of porous poly(L-lactic acid) foams”, Biomaterials, 21(15):1595-1605, Aug. 2000. |
Lucchetti et al., “Skin movement artifact assessment and compensation in the estimation of knee-joint kinematics,” J Biomechanics 31: 977-984 (1998). |
Lusse et al., “Measurement of Distribution of Water Content of Human Articular Cartilage Based on Transverse Relaxation Times: An In Vitro Study,” Seventh Scientific Meeting of ISMRM, p. 1020 (1999). |
Lynch et al., “Cartilage segmentation of 3D MRI scans of the osteoarthritic knee combining user knowledge and active contours,” Proc. SPIE 3979 Medical Imaging, San Diego pp. 925-935 (Feb. 2000). |
MacIntosh, “Arthroplasty of the Knee in Rheumatoid Arthritis,” Proceedings and Reports of Councils and Assotions, J. Bone & Joint Surg., vol. 48B No. (1): 179 (Feb. 1996). |
MacIntosh et al., “The Use of the Hemiarthroplasty Prosthesis for Advanced Osteoarthritis and Rheumatoid Arthritis of the Knee,” J. of Bone & Joint Surg., vol. 54B, No. 2, pp. 244-255 (1972). |
MacIntosh, “Arthroplasty of the Knee in Rheumatoid Arthritis Using the Hemiarthroplasty Prosthesis,” Synovectomy and Arthroplasty in Rheumatoid Arthritis pp. 79-80, Second Int'l. Symposium, Jan. 27-29, 1967 (Basle, Switzerland). |
MacIntosh, “Hemiarthroplasty of the Knee Using a Space Occupying Prosthesis for Painful Varus and Valgus Deformities,” J. Bone Joint Surg. Am. Dec. 1958:40-A:1431. |
Maki et al., “SNR improvement in NMR microscopy using DEFT,” J Mag Res; pp. 482-492 (1988). |
Marler et al., “Soft-Tissue Augmentation with Injectable Alginate and Syngeneic Fibroblasts”, Plastic & Reconstructive Surgery, 105(6):2049-2058, May 2000. |
Marshall et al., “Quantitation of Articular Cartilage Using Magnetic Resonance Imaging and Three-Dimensional Reconstruction,” J. Orthop. Res.; 13: 814-823 (1995). |
Matsen, III et al., “Robotic Assistance in Orthopaedic Surgery: A Proof of Principle Using Distal Femoral Arthroplasty”, Clinical Ortho. and Related Research, 296:178-186 (1993). |
Mattila et al., “Massive Osteoarticular Knee Allografts: Structural Changes Evaluated with CT,” Radiology; 196: 657-660 (1995). |
McCollum et al., “Tibial Plateau Prosthesis in Arthroplasty of the Knee,” J. Bone Joint Surg. Am. 1970 52(4):827-8 (Feb. 1996). |
McKeever, “The Classic Tibial Plateau Prosthesis,” Clin. Orthop. Relat. Res. (192):3-12 (1985). |
Merkle et al., “A Transceiver Coil Assembly for Hetero-Nuclear Investigations of Human Breast At 4T,” Proc. Intl. Soc. Mag. Resonance Med., 7:170 (1999). |
Meyer et al., “Simultaneous spatial and spectral selective excitation,” Magn Res Med 15: 287-304 (1990). |
Mills et al., “Magnetic Resonance Imaging of the Knee: Evaluation of Meniscal Disease,” Curr. Opin. Radiol. 4(6): 77-82 (1992). |
Milz et al., “The Thickness of the Subchondral Plate and Its Correlation with the thickness of the Uncalcified Articular Cartilage in the Human Patella,” Anat. Embryol.; 192: 437-444 (1995). |
Minas, “Chondrocyte Implantation in the Repair of Chondral Lesions of the Knee: Economics and Quality of Life”, Am. J. Orthop. Nov. 1998; 27: 739-744. |
Modest et al., “Optical Verification of a Technique for In Situ Ultrasonic Measurement of Articular Cartilage Thickness,” J. Biomechanics 22(2): 171-176 (1989). |
Mollica et al., “Surgical treatment of arthritic varus knee by tibial corticotomy and angular distraction with an external fixator,” Ital J Orthrop Traumatol 18(1): 17-23 (1992). |
Moussa, “Rotational Malalignment and Femoral Torsion in Osteoarthritic Knees with Patellofemoral Joint Imvolvement: A CT Scan Study,” Clin. Orthop.; 304: 176-183 (Jul. 1994). |
Mundinger et al., “Magnetic Resonance Tomography in the Diagnosis of Peripheral Joints,” Schweiz Med. Wochenschr. 121(15): 517-527 (1991) (Abstract Only). |
Myers et al., “Experimental Assessment by High Frequency Ultrasound of Articular Cartilage Thickness and Osteoarthritic Changes,” J. Rheumatol; 22: 109-116 (1995). |
Nelson et al., “Arthroplasty and Arthrodesis of the Knee Joint,” Orthop. Clin. North Am. 2 (1): 245-64 (1971). |
Nieminen et al., “T2 Indicates Incompletely the Biomechanical Status of Enzymatically Degraded Articular Cartilage of 9.4T,” Proc. Intl. Soc. Mag. Resonance Med., 7:551 (1999). |
Nishii et al., “Three Dimensional Evaluation of the Acetabular and Femoral Articular Cartilage in the Osteoarthritis of the Hip Joint,” Proc. Intl. Soc. Mag. Resonance Med., 7:1030 (1999). |
Nizard, “Role of tibial osteotomy in the treatment of medical femorotibial osteoarthritis,” Rev Rhum Engl Ed 65(7-9): 443-446 (1998). |
Noll et al., “Homodyne detection in magnetic resonance imaging,” IEEE Trans Med Imag 10(2): 154-163 (1991). |
Ogilvie-Harris et al., “Arthroscopic management of the degenerative knee,” Arthroscopy 7: 151-157 (1991). |
Parkkinen et al., “A Mechanical Apparatus With Microprocessor Controlled Stress Profile for Cyclic Compression of Cultured Articular Cartilage Explants,” J. Biomech.; 22 (11-12): 1285-1290 (1989). |
Pearle et al., “Use of an external MR-tracking coil for active scan plane registration during dynamic Musculoskeletal MR imaging in a vertically open MR unit,” American Roentgen Ray Society, San Francisco, CA (1998). |
Peterfy et al., “Quantification of the volume of articular cartilage in the carpophalangeal joints of the hand: accuracy and precision of three-dimensional MR imaging,” AJR 165: 371-375 (1995). |
Peterfy et al., “MR Imaging of the arthritic knee: improved discrimination of cartilage, synovium, and effusion with pulsed saturation transfer and fat-suppressed TI-weighted sequences,” Radiology 191(2): 413-419 (1994). |
Peterfy et al., “Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation,” Radiology 192(2): 485-491 (1994). |
Peterfy et al., “Emerging Applications of Magnetic Resonance Imaging in the Evaluation of Articular Cartilage,” Radiol Clin North Am.; 34(2): 195-213 (Mar. 1996). |
Pilch et al., “Assessment of Cartilage Volume in the Femorotibial Joint With Magnetic Resonance Imaging and 3D Computer Reconstruction,” J. Rheumatol. 21(12): 2307-2319 (1994). |
Piplani et al., “Articular cartilage volume in the knee: semi-automated determination from three-dimensional reformations of MR images,” Radiology 198: 855-859 (1996). |
Platt et al., “Mould Arthroplasty of the Knee: A Ten-Yr Follow-up Study,” Oxford Regional Rheumatic Diseases Resch. Ctre, J. of Bone & Joint Surg., vol. 51B, pp. 76-87 (1969). |
Porter et al., “MacIntosh Arthroplasty: A Long-Term Review,” J. R. Coll. Surg. Edin. (192):199-201 (1988). |
Portheine et al., “CT-Based Planning and Individual Template Navigation in TKA”, Navigation and Robotics in Total Joint and Spine Surgery, Springer, 48:336-342 (2004). |
Portheine et al., “Development of a Clinical Demonstrator for Computer Assisted Orthopedic Surgery with CT Image Based Individual Templates.” In Lemke HU, Vannier MW, Inamura K (eds). Computer Assisted Radiology and Surgery. Amsterdam, Elsevier 944-949, 1997. |
Potter, “Arthroplasty of the Knee With Tibial Metallic Implants of the McKeever and MacIntosh Design,” Sug. Clin. North Am. 49(4):903-915 (1969). |
Potter et al., “Arthroplasty of the Knee in Rheumatoid Arthritis and Osteoarthritis: A Follow-up Study After Implantation of the McKeever and MacIntosh Prostheses,” J. Bone Joint Surg. Am. 54(1):1-24 (1972). |
Potter et al., “Magnetic resonance imaging of articular cartilage in the knee: an evaluation with use of fast-spin-echo imaging,” J Bone Joint Surg 80-A(9): 1276-1284 (1998). |
Potter et al., “Sensitivity of Quantitative NMR Imaging to Matrix Composition in Engineered Cartilage Tissue” Proc. Intl. Soc. Mag. Resonance Med., 7:552 (1999). |
Probst et al., “Technique for Measuring the Area of Canine Articular Surfaces,” Am. J. Vet. Res. 48(4): 608-609 (1987). |
Prodromos et al., “A relationship between gait and clinical changes following high tibial osteotomy,” J Bone Joint Surg 67A: 1188-1194 (1985). |
Radermacher et al., “Computer Assisted Orthopedic Surgery by Means of Individual Templates ⋅ Aspects and Analysis of Potential Applications ⋅” Proceedings of the First International Symposium on Medical Robotics and Computer Assisted Surgery, vol. 1: Sessions I-III, MRCAS '94, Pittsburgh, PA, pp. 42-48 (Sep. 22-24, 1994). |
Radermacher, English Translation: Helmholtz Institute of Biomedical Technology, “Computer-Assisted Planning and Execution of Orthopedic Surgery Using Individual Surgical Templates”, May 18, 1999. |
Radermacher, German Version: Helmholtz Institute of Biomedical Technology, “Computer-Assisted Planning and Execution of Orthopedic Surgery Using Individual Surgical Templates”, May 18, 1999. |
Radermacher, “Computer Assisted Orthopaedic Surgery With Image Based Individual Templates” Clinical Orthopaedics, Sep. 1998, vol. 354, pp. 28-38. |
Radermacher et al., “Image Guided Orthopedic Surgery Using Individual Templates—Experimental Results and Aspects of the Development of a Demonstrator for Pelvis Surgery.” In Troccaz J. Grimson E., Mosges R (eds). Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer Assisted Surgery, Lecture Notes in Computer Science. Berlin, Springer-Verlag 606-615, 1997. |
Radermacher et al., “Computer Integrated Orthopedic Surgery—Connection of Planning and Execution in Surgical Inventions.” In Taylor, R., Lavallee, S., Burdea G. Mosges, R. (eds). Computer Integrated Surgery. Cambridge, MIT press 451-463, 1996. |
Radermacher et al., “Technique for Better Execution of CT Scan Planned Orthopedic Surgery on Bone Structures.” In Lemke HW, Inamura, K., Jaffe, CC, Vannier, MW (eds). Computer Assisted Radiology, Berlin, Springer 933-938, 1995. |
Radermacher et al., “CT Image Based Planning and Execution of Interventions in Orthopedic Surgery Using Individual Templates—Experimental Results and Aspects of Clinical Applications.” In Nolte LP, Ganz, R. (eds). CAOS—Computer Assisted Orthopaedic Surgery. Bern, Hans Huber (In Press) 1998. |
Radin et al., “Mechanical Determination of Osteoarthrosis,” Sem Arthr Rheum 21(3): 12-21 (1991). |
Radin et al., Characteristics of Joint Loading as it Applies to Osteoarthrosis in: Mow VC, Woo S.Y., Ratcliffe T., eds. Symposium on Biomechanics of Diathrodial Joints, vol. 2, New York, NY: Springer-Verlag, pp. 437-451 (1990). |
Ranawat et al., “MacIntosh Hemiarthroplasty in Rheumatoid Knee,” Acta Orthop Belg., 39 (1): 1-11 (1973). |
Recht et al., “Accuracy of fat-suppressed three-dimensional spoiled gradient-echo Flash MR imaging in the detection of patellofemoral articular cartilage abnormalities,” Radiology 198: 209-212 (1996). |
Recht et al., “MR imaging of articular cartilage: current status and future directions,” AJR 163: 283-290 (1994). |
Reiser et al., “Magnetic Resonance in Cartilaginous Lesions of the Knee Joint With Three-Dimensional Gradient-Echo Imaging,” Skeletal Radiol. 17(7): 465-471, (1988). |
Ritter et al., “Postoperative alignment of total knee replacement,” Clin Orthop 299: 153-156 (1994). |
Robarts Research Institute, Abstract #1028 (1999). |
Robson et al., “A Combined Analysis and Magnetic Resonance Imaging Technique for Computerized Automatic Measurement of Cartilage Thickness in Distal Interphalangeal Joint,” Magnetic Resonance Imaging 13(5): 709-718 (1995). |
Rushfeldt et al., “Improved Techniques for Measuring In Vitro the Geometry and Pressure Distribution in the Human Acetabulum—1. Ultrasonic Measurement of Acetabular Surfaces, Sphericity and Cartilage Thickness,” J. Biomech; 14(4): 253-260 (1981). |
Saied, “Assessment of Articular Cartilage and Subchondral Bone: Subtle and Progressive Changes in Experimental Osteoarthritis Using 50 MHz Echography In Vitro”, J. Bone Miner Res. 1997; 12(9): 1378-1386. |
Saito et al., “New algorithms for Euclidean distance transformation of an—dimensional digitized picture with applications,” Pattern Recognition 27(11): 1551-1565 (1994). |
Schiffers et al., In German: “Planning and execution of orthopedic surgery using individualized templates,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 636-640, (Jul. 2000). |
Schiffers et al., English Translation with Certification: “Planning and execution of orthopedic surgery using individualized templates,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 636-640, (Jul. 2000). |
Schipplein et al., “Interaction between active and passive knee stabilizers during level walking,” J Orthop Res 9: 113-119 (1991). |
Schorn et al., “MacIntosh Arthroplasty in Rheumatoid Arthritis,” Rheumatol Rehabil. Aug. 1978:17(3):155-163. |
Schouten et al., “A 12 year follow up study in the general population on prognostic factors of cartilage loss in osteoarthritis of the knee,” Ann Rheum Dis 51: 932-937 (1992). |
Shapiro et al., “In-Vivo Evaluation of Human Cartilage Compression and Recovery using 1H and 23Na MRI,” Proc. Intl. Soc. Mag. Resonance Med., 7:548 (1999). |
Sharif et al., “Serum hyaluronic acid level as a predictor of disease progression in osteoarthritis of the knee,” Arthritis Rheum 38: 760-767 (1995). |
Sharma et al., “Knee adduction moment, serum hyaluronic acid level, and disease severity in medial tibiofemoral osteoarthritis,” Arthritis and Rheumatism 41(7): 1233-40 (1998). |
Shoup et al., “The driven equilibrium Fourier transform NMR technique: an experimental study,” J Mag Res p. 298-310 (1972). |
Sittek et al., “Assessment of Normal Patellar Cartilage Volume and Thickness Using MRI: an Analysis of Currently Available Pulse Sequences”, Skeletal Radiol 1996; 25: 55-61. |
Slemenda et al., “Lower extremity lean tissue mass strength predict increases in pain and in functional impairment in knee osteoarthritis,” Arthritis Rheum 39(suppl): S212 (1996). |
Slemenda et al., “Lower extremity strength, lean tissue mass and bone density in progression of knee osteoarthritis,” Arthritis Rheum 39(suppl): S169 (1996). |
Slone et al., “Body CT: A Practical Approach”, Editor Slone, 1999 McGraw-Hill publishers, Title page and Table of Contents pgs. Only (ISBN 007058219). |
Solloway et al., “The use of active shape models for making thickness measurements of articular cartilage from MR images,” Mag Res Med 37: 943-952 (1997). |
Soslowsky et al., “Articular Geometry of the Glenohumeral Joint,” Clin. Orthop.; 285: 181-190 (Dec. 1992). |
Spoor et al., “Rigid body motion calculated from spatial coordinates of markers,” J. Biomechanics 13: 391-393 (1980). |
Stammberger et al., “A Method for Quantifying Time Dependent Changes in MR Signal Intensity of Articular Cartilage As a Function of Tissue Deformation in Intact Joints” Medical Engineering & Physics 20: 741-749 (1998). |
Stammberger et al., “A New Method for 3D Cartilage Thickness Measurement with MRI, Based on Euclidean Distance Transformation, and its Reproducibility in the Living,” Proc. Intl. Soc. Mag. Resonance Med., 6:562 (1998). |
Stammberger et al., “Elastic Registration of 3D Cartilage Surfaces From MR Image Data for Detecting Local Changes of the Cartilage Thickness,” Magnetic Resonance in Medicine 44: 592-601 (2000). |
Stammberger et al., “Determination of 3D cartilage thickness data from MR imaging: computational method and reproducibility in the living,” Mag Res Med 41: 529-536 (1999). |
Stammberger et al., “Interobserver to reproducibility of quantitative cartilage measurements: Comparison of B-spline snakes and manual segmentation,” Mag Res Imaging 17: 1033-1042 (1999). |
Stauffer et al., “The MacIntosh Prosthesis. Prospective Clinical and Gait Evaluation,” Arch. Surg. 110(6):717-720 (1975). |
Steines et al., Segmentation of osteoarthritic femoral cartilage using live wire, Proc. Intl. Soc. Mag. Resonance Med., 8:220 (2000). |
Steines et al., “Segmentation of osteoarthritis femoral cartilage from MR images,” CARS—Computer-Assisted Radiology and Surgery, pp. 578-583, San Francisco (2000). |
Steines et al., “Measuring volume of articular cartilage defects in osteoarthritis using MRI,” ACR 64th Annual Scientific Meeting, Philadelphia, (Oct. 2000). |
Stevenson et al., “The fate of articular cartilage after transplantation of fresh and cryopreserved tissue-antigen-matched and mismatched osteochondral allografts in dogs,” J. Bone Joint Surg 71(9): 1297-1307 (1989). |
Stout et al., “X-Ray Structure Determination: A Practical Guide”, 2nd Ed. Editors Stout and Jensen, 1989, John Wiley & Sons, Title page and Table of Contents pgs. Only (ISBN 0471607118). |
Taha et al., “Modeling and Design of a Custom Made Cranium Implant for Large Skull Reconstruction Before a Tumor Removal”, Phidias Newsletter No. 6, pp. 3, 6, Jun. 2001. Retrieved from the Internet: URL:http://www.materialise.com/medical/files/pdf. |
Tamez-Pena et al., MRI Isotropic Resolution Reconstruction from two Orthogonal Scans:, Proceedings of the SPIE—The International Society for Optical Engineering SOIE-OMT. vol. 4322, pp. 87-97, 2001. |
Tebben et al., “Three-Dimensional Computerized Reconstruction. Illustration of Incremental Articular Cartilage Thinning,” Invest. Radiol. 32(8): 475-484 (1997). |
Thoma et al., In German: “Use of a New Subtraction Procedure Based on Three-Dimensional CT Scans for the Individual Treatment of Bone Defects in the Hip and Knee,” Journal DGPW, No. 17, pp. 27-28 (May 1999). |
Thoma et al., English Translation with Certification: “Use of a New Subtraction Procedure Based on Three-Dimensional CT Scans for the Individual Treatment of Bone Defects in the Hip and Knee,” Journal DGPW, No. 17, pp. 27-28 (May 1999). |
Thoma et al., In German: “Custom-made knee endoprosthetics using subtraction data of three-dimensional CT scans—a new approach,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 641-644, (Jul. 2000). |
Thoma et al., English Translation with Certification: “Custom-made knee endoprosthetics using subtraction data of three-dimensional CT scans—a new approach,” Der Orthopäde, Springer-Verlag, vol. 29, No. 7, pp. 641-644, (Jul. 2000). |
Tieschky et al., “Repeatability of patellar cartilage thickness patterns in the living, using a fat-suppressed magnetic resonance imaging sequence with short acquisition time and three-dimensional data processing,” J. Orthop Res 15(6): 808-813 (1997). |
Tomasi et al., “Shape and motion from image streams under orthography—a factorization method,” Proc. Nat. Acad. Sci. 90(21): 9795-9802 (1993). |
Tsai et al., “Application of a flexible loop-gap resonator for MR imaging of articular cartilage at 3.TO,” International Society for Magnetic Resonance in Medicine, Denver (Apr. 24-28, 2000) 8:2127. |
Tyler et al., “Detection and Monitoring of Progressive Degeneration of Osteoarthritic Cartilage by MRI,” Acta Orthop Scand 1995; 66 Suppl. 266: 130-138 (1995). |
Van Leersum et al., “Thickness of Patellofemoral Articular Cartilage as Measured on MR Imaging: Sequence Comparison of accuracy, reproducibility, and interobserver variation,” Skeletal Radiol 1995; 24: 431-435 (1995). |
Vandeberg et al., “Assessment of Knee Cartilage in Cadavers with Dual-Detector Sprial CT ARthrography and MR Imaging”, Radiology, Feb. 2002: 222(2): 430-435 T. 195, V.V. |
Van der Linden et al., “MR Imaging of Hyaline Cartilage at 0.5 T: A Quantitative and Qualitative in vitro Evaluation of Three Types of Sequences” pp. 297-305 (Jun. 1998). |
Velyvis et al., “Evaluation of Articular Cartilage with Delayed Gd(DTPA)2-Enhanced MRI: Promise and Pitfalls,” Proc. Intl. Soc. Mag. Resonance Med., 7:554 (1999). |
Wang et al., “The influence of walking mechanics and time on the results of proximal tibial osteotomy,” J. Bone Joint Surg 72A: 905-909 (1990). |
Warfield et al., “Automatic Segmentation of MRI of the Knee,” ISMRM Sixth Scientific Meeting and Exhibition p. 563, Sydney, Australia (Apr. 17-24, 1998). |
Warfield et al., “Adaptive Template Moderated Spatially Varying Statistical Classification,” Proc. First International Conference on Medical Image Computing and Computer Assisted, MICCAI, pp. 231-238 (1998). |
Warfield et al., “Adaptive, Template Moderated Spatially Varying Statistical Classification,” Medical Image Analysis 4(1): 43-55 (2000). |
Waterton et al., “Diurnal variation in the femoral articular cartilage of the knee in young adult humans,” Mag Res Med 43: 126-132 (2000). |
Waterton et al., “Magnetic Resonance Methods for Measurement of Disease Progression in Rheumatoid Arthritis,” Mag. Res. Imaging; 11: 1033-1038 (1993). |
Watson et al., “MR Protocols for Imaging the Guinea Pig Knee,” Mag. Res. Imaging 15(8): 957-970 (1997). |
Wayne et al., “Measurement of Articular Cartilage Thickness in the Articulated Knee,” Ann Biomed Eng.; 26(1): 96-102 (1998). |
Wayne et al., “Finite Element Analyses of Repaired Articular Surfaces,” Proc. Instn. Mech. Eng.; 205(3): 155-162 (1991). |
Wiese et al., “Biomaterial properties and biocompatibility in cell culture of a novel self-inflating hydrogel tissue expander”, J. Biomedical Materials Research Part A, 54(2):179-188, Nov. 2000. |
Wolff et al., “Magnetization transfer contrast: MR imaging of the knee,” Radiology 179: 623-628 (1991). |
Wordsworth et al., “MacIntosh Arthroplasty for the Rheumatoid Knee: A 10-year Follow Up,” Ann. Rheum. Dis. 44(11):738-741 (1985). |
Worring et al., “Digital curvature estimation. CVGIP,” Image Understanding 58(3): 366-382 (1993). |
Yan, “Measuring changes in local volumetric bone density,” new approaches to quantitative computed tomography, Ph.D. thesis, Dept. of Electrical Engineering, Stanford University (1998). |
Yao et al., “Incidental magnetization transfer contrast in fast spin-echo imaging of cartilage,” J. Magn Reson Imaging 6(1): 180-184 (1996). |
Yao et al., “MR imaging of joints: analytic optimization of GRE techniques at 1.5T,” AJR 158(2): 339-345 (1992). |
Yasuda et al., “A 10 to 15 year follow up observation of high tibial osteotomy in medial compartment osteoarthritis,” Clin Orthop 282: 186-195 (1992). |
Yusof et al., “Preparation and characterization of chitin beads as a wound dressing precursor”, J. Biomedical Materials Research Part A, 54(1):59-68, Oct. 2000. |
Zimmer, Inc., “There's a New Addition to the Flex Family! The Zimmer® Unicompartmental Knee System”, pp. 1-8 (2004). |
International Searching Authority, International Search Report—International Application No. PCT/US02/16945, dated Mar. 26, 2003, 6 pages. |
European Patent Office, Supplementary European Search Report—Application No. 03713907.8, dated Dec. 6, 2006, 3 pages. |
European Patent Office, Supplementary Partial European Search Report—Application No. 02737254.9, dated Mar. 2, 2007, 5 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US03/38158, dated Feb. 23, 2005, 7 pages. |
European Patent Office, European Search Report—Application No. EP 03790194, dated Jul. 13, 2006, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US03/32123, dated Mar. 17, 2004, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US03/36079, dated Apr. 15, 2004, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US04/39714, dated May 13, 2005, together with the Written Opinion of the International Searching Authority, 8 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2005/042421, dated May 18, 2006, together with the Written Opinion of the International Searching Authority, 7 pages. |
European Patent Office, Supplementary European Search Report—Application No. 04812273.3, dated Oct. 8, 2007, 5 pages. |
International Searching Authority, Invitation to Pay Additional Fees—International Application No. PCT/US2007/064349 dated Aug. 7, 2007, 8 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2007/064349, dated Oct. 12, 2007, together with the Written Opinion of the International Searching Authority, 20 pages. |
European Patent Office, Supplementary European Search Report—Application No. 04812273.3-2310, dated Dec. 10, 2007, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US06/45131, dated Jul. 11, 2007, together with the Written Opinion of the International Searching Authority, 6 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US06/38212, dated Apr. 22, 2008, together with the Written Opinion of the International Searching Authority, 7 pages. |
International Searching Authority, International Preliminary Report on Patentability—International Application No. PCT/US2006/045131, dated Jun. 5, 2008, together with the Written Opinion of the International Searching Authority, 6 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2009/043656, dated Jul. 9, 2009, together with the Written Opinion of the International Searching Authority, 8 pages. |
United States Patent and Trademark Office, Office Action dated Jul. 30, 2009, pertaining to U.S. Appl. No. 11/537,318, 56 pages. |
Sunstein Kann Murphy & Timbers LLP, Request for Continued Examination and Response dated Aug. 27, 2009 pertaining to U.S. Appl. No. 10/752,438, 22 pages. |
United States Patent and Trademark Office, Office Action dated Nov. 10, 2009 pertaining to U.S. Appl. No. 10/752,438, 8 pages. |
Sunstein Kann Murphy & Timbers LLP, Request for Continued Examination and Response dated Jul. 27, 2009 pertaining to U.S. Appl. No. 10/997,407, 26 pages. |
United States Patent and Trademark Office, Office Action dated Nov. 24, 2009 pertaining to U.S. Appl. No. 10/997,407, 14 pages. |
United States Patent and Trademark Office, Office Action dated Jan. 9, 2009, pertaining to U.S. Appl. No. 10/764,010 (US Patent Publication No. US 2004/0167390), 11 pages. |
Bromberg & Sunstein LLP, Response to Office Action dated Jan. 9, 2009, pertaining to U.S. Appl. No. 10/764,010 (US Patent Publication No. US 2004/0167390), 25 pages. |
United States Patent and Trademark Office, Office Action dated Oct. 23, 2009, pertaining to U.S. Appl. No. 10/764,010 (US Patent Publication No. US 2004/0167390), 13 pages. |
United States Patent and Trademark Office, Office Action dated Jul. 9, 2009, pertaining to U.S. Appl. No. 10/160,667, 5 pages. |
Sunstein Kann Murphy & Timbers LLP, Amendment dated Jan. 11, 2010, pertaining to U.S. Appl. No. 10/160,667, 12 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 6, 2009, pertaining to U.S. Appl. No. 10/681,749, 6 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Aug. 6, 2009, pertaining to U.S. Appl. No. 10/681,749, 18 pages. |
United States Patent and Trademark Office, Office Action dated Nov. 25, 2008, pertaining to U.S. Appl. No. 10/681,750, 21 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Nov. 25, 2008, pertaining to U.S. Appl. No. 10/681,750, 17 pages. |
United States Patent and Trademark Office, Office Action dated Sep. 22, 2009, pertaining to U.S. Appl. No. 10/681,750, 21 pages. |
European Patent Office, European Search Report—International Application No. PCT/US2006/045131 dated Mar. 3, 2010, 6 pages. |
United States Patent and Trademark Office, Office Action dated Apr. 24, 2009, pertaining to U.S. Appl. No. 10/704,208, 23 pages. |
Sunstein Kann Murphy & Timbers LLP, Request for Continued Examination and Response dated Oct. 26, 2009, pertaining to U.S. Appl. No. 10/704,208, 17 pages. |
United States Patent and Trademark Office, Office Action dated Dec. 30, 2009, pertaining to U.S. Appl. No. 10/704,208, 10 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/025459, dated Apr. 20, 2010, together with the Written Opinion of the International Searching Authority, 15 pages. |
Bromberg & Sunstein LLP, Request for Continued Examination dated May 24, 2007, pertaining to U.S. Appl. No. 10/305,652, 21 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 13, 2007, pertaining to U.S. Appl. No. 10/305,652, 6 pages. |
Bromberg & Sunstein LLP, Response to Office Action dated Aug. 13, 2007, pertaining to U.S. Appl. No. 10/305,652, 10 pages. |
United States Patent and Trademark Office, Office Action dated Dec. 19, 2007, pertaining to U.S. Appl. No. 10/305,652, 6 pages. |
Bromberg & Sunstein LLP, Response to Office Action dated Dec. 19, 2007, pertaining to U.S. Appl. No. 10/305,652, 17 pages. |
Bromberg & Sunstein LLP, Supplemental Response dated May 2, 2008, pertaining to U.S. Appl. No. 10/305,652, 12 pages. |
United States Patent and Trademark Office, Office Action dated Jul. 29, 2008, pertaining to U.S. Appl. No. 10/305,652, 10 pages. |
Bromberg & Sunstein LLP, Amendment After Final Rejection dated Aug. 26, 2008, pertaining to U.S. Appl. No. 10/305,652, 17 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 4, 2009, pertaining to U.S. Appl. No. 10/704,325, 11 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Aug. 4, 2009, pertaining to U.S. Appl. No. 10/704,325, 15 pages. |
United States Patent and Trademark Office, Notice of Allowance dated May 17, 2010, pertaining to U.S. Appl. No. 10/704,325, 20 pages. |
United States Patent and Trademark Office, Office Action dated Jul. 23, 2010, pertaining to U.S. Appl. No. 12/317,416, 7 pages. |
United States Patent and Trademark Office, Office Action dated Apr. 26, 2010, pertaining to U.S. Appl. No. 10/160,667, 11 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 2, 2010, pertaining to U.S. Appl. No. 12/317,472, 7 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 5, 2010, pertaining to U.S. Appl. No. 10/997,407, 12 pages. |
United States Patent and Trademark Office, Office Action dated May 26, 2010, pertaining to U.S. Appl. No. 11/602,713, 10 pages. |
United States Patent and Trademark Office, Office Action dated Jun. 28, 2010, pertaining to U.S. Appl. No. 10/752,438, 9 pages. |
United States Patent and Trademark Office, Office Action dated Mar. 4, 2010, pertaining to U.S. Appl. No. 11/688,340, 15 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Jul. 30, 2009, pertaining to U.S. Appl. No. 11/537,318, 9 pages. |
United States Patent and Trademark Office, Office Action dated Jun. 3, 2010, pertaining to U.S. Appl. No. 11/537,318, 10 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/039587, dated Aug. 19, 2010, together with the Written Opinion of the International Searching Authority, 15 pages. |
European Patent Office, Extended European Search Report—European Application No. 06815884.9-2310, dated Sep. 14, 2010, 7 pages. |
United States Patent and Trademark Office, Office Action dated Sep. 15, 2010, pertaining to U.S. Appl. No. 10/704,208, 13 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/025274, dated Sep. 20, 2010, together with the Written Opinion of the International Searching Authority, 18 pages. |
Sunstein Kann Murphy & Timbers LLP, Preliminary Amendment dated Jul. 31, 2009, pertaining to U.S. Appl. No. 11/739,326, 19 pages. |
United States Patent and Trademark Office, Office Action dated Apr. 20, 2010, pertaining to U.S. Appl. No. 11/739,326, 13 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Apr. 20, 2010, pertaining to U.S. Appl. No. 11/739,326, 22 pages. |
United States Patent and Trademark Office, Notice of Allowance dated Nov. 24, 2010, pertaining to U.S. Appl. No. 11/739,326, 8 pages. |
United States Patent and Trademark Office, Office Action dated May 17, 2010, pertaining to U.S. Appl. No. 10/764,010, 12 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated May 17, 2010, pertaining to U.S. Appl. No. 10/764,010, 21 pages. |
United States Patent and Trademark Office, Notice of Allowance dated Dec. 16, 2010, pertaining to U.S. Appl. No. 10/764,010, 11 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Aug. 2, 2010, pertaining to U.S. Appl. No. 12/317,472, 15 pages. |
United States Patent and Trademark Office, Office Action dated Feb. 10, 2011, pertaining to U.S. Appl. No. 12/317,416, 10 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/046868, dated Jan. 7, 2011, together with the Written Opinion of the International Searching Authority, 11 pages. |
United States Patent and Trademark Office, Office Action dated Feb. 22, 2011, pertaining to U.S. Appl. No. 11/602,713, 10 pages. |
United States Patent and Trademark Office, Office Action dated Feb. 24, 2011, pertaining to U.S. Appl. No. 12/317,472, 12 pages. |
United States Patent and Trademark Office, Office Action dated Mar. 2, 2011, pertaining to U.S. Appl. No. 10/752,438, 8 pages. |
European Patent Office, Extended European Search Report—European Application No. 10012404.9-2310, dated Apr. 1, 2011, 7 pages. |
United States Patent and Trademark Office, Office Action dated Apr. 18, 2011, pertaining to U.S. Appl. No. 12/464,763, 13 pages. |
United States Patent and Trademark Office, Notice of Allowance dated Aug. 5, 2011, pertaining to U.S. Appl. No. 10/764,010, 14 pages. |
United States Patent and Trademark Office, Office Action dated Sep. 15, 2011, pertaining to U.S. Appl. No. 10/997,407, 13 pages. |
United States Patent and Trademark Office, Office Action dated Dec. 6, 2010, pertaining to U.S. Appl. No. 12/853,599, 11 pages. |
Sunstein Kann Murphy & Timbers LLP, Response to Office Action dated Dec. 6, 2010, pertaining to U.S. Appl. No. 12/853,599, 16 pages. |
United States Patent and Trademark Office, Notice of Allowance dated Sep. 14, 2011, pertaining to U.S. Appl. No. 12/853,599, 9 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/055483, dated Jul. 28, 2011, together with the Written Opinion of the International Searching Authority, 9 pages. |
Bromberg & Sunstein LLP, Preliminary Amendment dated Aug. 22, 2006, pertaining to U.S. Appl. No. 11/410,515, 10 pages. |
United States Patent and Trademark Office, Office Action dated Dec. 30, 2008, pertaining to U.S. Appl. No. 11/410,515, 32 pages. |
Bromberg & Sunstein LLP, Amendment dated Jun. 30, 2009, pertaining to U.S. Appl. No. 11/410,515, 18 pages. |
Sunstein Kann Murphy & Timbers LLP, Supplemental Amendment dated Aug. 26, 2009, pertaining to U.S. Appl. No. 11/410,515, 11 pages. |
Sunstein Kann Murphy & Timbers LLP, Supplemental Amendment dated Sep. 21, 2009, pertaining to U.S. Appl. No. 11/410,515, 11 pages. |
United States Patent and Trademark Office, Office Action dated Dec. 28, 2009, pertaining to U.S. Appl. No. 11/410,515, 43 pages. |
Sunstein Kann Murphy & Timbers LLP, Amendment dated Jun. 28, 2010 pertaining to U.S. Appl. No. 11/410,515, 16 pages. |
United States Patent and Trademark Office, Office Action dated Oct. 6, 2010 pertaining to U.S. Appl. No. 11/410,515, 20 pages. |
Sunstein Kann Murphy & Timbers LLP, Amendment dated Apr. 6, 2011 pertaining to U.S. Appl. No. 11/410,515, 12 pages. |
Sunstein Kann Murphy & Timbers LLP, Preliminary Amendment dated Jul. 31, 2009 pertaining to U.S. Appl. No. 11/769,434, 44 pages. |
United States Patent and Trademark Office, Office Action dated Aug. 2, 2010 pertaining to U.S. Appl. No. 11/769,434, 83 pages. |
Sunstein Kann Murphy & Timbers LLP, Amendment dated Feb. 2, 2011 pertaining to U.S. Appl. No. 11/769,434, 44 pages. |
Sunstein Kann Murphy & Timbers LLP, Preliminary Amendment dated Aug. 12, 2011, pertaining to U.S. Appl. No. 13/017,886, 13 pages. |
United States Patent and Trademark Office, Office Action dated Jun. 23, 2011 pertaining to U.S. Appl. No. 11/410,515, 13 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/059910 dated Oct. 25, 2011, together with the Written Opinion of the International Searching Authority, 9 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/025269 dated Aug. 31, 2012, together with the Written Opinion of the International Searching Authority, 14 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/049472 dated Oct. 16, 2012, together with the Written Opinion of the International Searching Authority, 12 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/050964 dated Oct. 22, 2012, together with the Written Opinion of the International Searching Authority, 13 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2009/036165, dated May 7, 2009, together with the Written Opinion of the International Searching Authority, 9 pages. |
European Patent Office, European Search Report—Application No. 12170854.9-1526, dated Oct. 9, 2012, 6 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US12/59936 dated Jan. 9, 2013, together with the Written Opinion of the International Searching Authority, 11 pages. |
European Patent Office, European Search Report—Application No. 10192339.9-1257, dated Jan. 23, 2013, 5 pages. |
European Patent Office, Extended European Search Report—Application No. 10792589.3-2310, dated Feb. 7, 2013, 9 pages. |
European Patent Office, Extended European Search Report—Application No. 10746859.7-1654 dated Mar. 4, 2013, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2013/035536 dated Jul. 18, 2013, 3 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2013/028762 dated Jun. 21, 2013, 9 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2013/061042 dated Jan. 10, 2014, together with the Written Opinion of the International Searching Authority, 12 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US13/56841 dated Feb. 12, 2014, together with the Written Opinion of the International Searching Authority, 9 pages. |
European Searching Authority, Extended European Search Report—Application No. 10836760.8-1654 dated Apr. 11, 2014, 6 pages. |
Delp et al., “A Graphics-Based Software System to Develop and Analyze Models of Musculoskeletal Structures,” Comput. Biol. Med., vol. 25, No. 1, pp. 21-34, 1995. |
Harryson et al., “Custom-Designed Orthopedic Implants Evaluated Using Finite Element Analysis of Patient-Specific Computed Tomoraphy Data: Femoral-Component Case Study”, BMC Musculoskeletal Disorders, vol. 8(91), Sep. 2007, 10 pages. |
Lombardi, Jr. et al. “Patient-Specific Approach in Total Knee Arthroplasty”, Orthopedics, vol. 31, Issue 9, Sep. 2008, 8 pages. |
Overhoff et al., “Total Knee Arthroplasty: Coordinate System Definition and Planning Based on 3-D Ultrasound Image Volumes”, CARS 2001, pp. 283-288. |
Robinson et al., “The Early Innovators of Today's Resurfacing Condylar Knees”, The Journal of Arthroplasty, vol. 20, No. 1, Suppl. 1, 2005. |
Tsai et al., “Accurate Surface Voxelization for Manipulating Volumetric Surfaces and Solids with Application in Simulating Musculoskeletal Surgery”, Inst. of Information and Computer Engineering, pp. 234-243, 2001. |
European Patent Office, European Search Report—Application No. 10829105.5-1654 dated Nov. 5, 2013, 3 pages. |
European Patent Office, Extended European Search Report—Application No. 10838327.4-1654 dated Nov. 14, 2013, 6 pages. |
International Searching Authority, Great Britain Search and Examination Report—Application No. GB1201112.8 dated Feb. 3, 2014, 4 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/025274, dated Oct. 25, 2012, together with the Written Opinion of the International Searching Authority, 12 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/025277, dated Oct. 25, 2012, together with the Written Opinion of the International Searching Authority, 12 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2010/061141, dated Aug. 31, 2011, together with the Written Opinion of the International Searching Authority, 8 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US14/27446 dated Aug. 11, 2014, together with the Written Opinion of the International Searching Authority, 14 pages. |
Cohen et al., “Computer-Aided Planning of Patellofemoral Joint OA Surgery: Developing Physical Models from Patient MRI”, MICCAI, Oct. 11-13, 1998, 13 pages. |
European Patent Office, Extended European Search Report—Application No. 12192903.8-1654 dated Apr. 17, 2013, 8 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2012/025280 dated Oct. 25, 2012, together with the Written Opinion of the International Searching Authority, 11 pages. |
“Seedhom et al., “Dimensions of the Knee. Radiographic and Autopsy Study of Sizes Required by a Knee Prosthesis”, Ann. Rheum Dis, pp. 54-58, 1972”. |
“Erkman et al. “A Study of Knee Geometry Applied to the Design of Condylar Prostheses”, Biomedical Engineering, pp. 14-17, Jan. 1974”. |
“Fehring et al. “Differences Between the Sexes in the Anatomy of the Anterior Condyle of the Knee”, Journal of Bone & Joint Surgery, pp. 2335-2341, 2009”. |
“Mensch et al. “Knee Morphology as a Guide to Knee Replacement”, Clinical Orthopaedics and Related Research, pp. 231-241, 1975”. |
Delp et al., “Computer Assisted Knee Replacement,” Clinical Orthopaedics, vol. 354, pp. 49-56, Sep. 1998. |
European Patent Office, Extended European Search Report—Application No. 12820490.6-1654, dated Jun. 26, 2015, 6 pages. |
European Patent Office, European Search Report pertaining to European Application No. 15189568.7-1654 dated Feb. 9, 2016, 7 pages. |
International Searching Authority, International Search Report—International Application No. PCT/US2014/030001 dated Aug. 27, 2014, together with the Written Opinion of the International Searching Authority, 10 pages. |
Japanese Patent Office, Office Action pertaining to JP Application No. 2012-109834, dated Jun. 24, 2016, 4 pages. |
Japanese Patent Office, English Translation of Office Action pertaining to JP Application No. 2012-109834, dated Jun. 24, 2016, 7 pages. |
U.S. Appl. No. 10/160,667, filed May 28, 2002. |
U.S. Appl. No. 10/305,652, filed Nov. 27, 2002, now U.S. Pat. No. 7,468,074. |
U.S. Appl. No. 10/681,749, filed Oct. 7, 2003, now U.S. Pat. No. 7,799,077. |
U.S. Appl. No. 10/681,750, filed Oct. 7, 2003. |
U.S. Appl. No. 10/704,208, filed Nov. 7, 2003, now U.S. Pat. No. 8,932,363. |
U.S. Appl. No. 10/704,325, filed Nov. 7, 2003, now U.S. Pat. No. 7,796,791. |
U.S. Appl. No. 10/752,438, filed Jan. 5, 2004, now U.S. Pat. No. 8,545,569. |
U.S. Appl. No. 10/997,407, filed Nov. 24, 2004, now U.S. Pat. No. 8,882,847. |
U.S. Appl. No. 11/537,318, filed Sep. 29, 2006. |
U.S. Appl. No. 12/317,416, filed Dec. 22, 2008, now U.S. Pat. No. 8,343,218. |
U.S. Appl. No. 12/317,472, filed Dec. 22, 2008, now U.S. Pat. No. 8,337,507. |
U.S. Appl. No. 11/688,340, filed Mar. 20, 2007. |
U.S. Appl. No. 11/602,713, filed Nov. 21, 2006. |
U.S. Appl. No. 12/031,239, filed Feb. 14, 2008, now U.S. Pat. No. 8,617,242. |
U.S. Appl. No. 12/398,598, filed Mar. 5, 2009, now U.S. Pat. No. 8,682,052. |
U.S. Appl. No. 12/398,871, filed Mar. 5, 2009. |
U.S. Appl. No. 12/398,880, filed Mar. 5, 2009. |
U.S. Appl. No. 12/464,763, filed May 12, 2009. |
U.S. Appl. No. 12/712,072, filed Feb. 24, 2010, now U.S. Pat. No. 8,234,097. |
U.S. Appl. No. 12/772,683, filed May 3, 2010, now U.S. Pat. No. 8,709,089. |
U.S. Appl. No. 12/777,859, filed May 11, 2010, now U.S. Pat. No. 8,768,028. |
U.S. Appl. No. 12/777,878, filed May 11, 2010, now U.S. Pat. No. 8,690,945. |
U.S. Appl. No. 12/778,506, filed May 12, 2010. |
U.S. Appl. No. 12/778,518, filed May 12, 2010, now U.S. Pat. No. 8,945,230. |
U.S. Appl. No. 12/660,529, filed Feb. 25, 2010, now U.S. Pat. No. 8,480,754. |
U.S. Appl. No. 12/799,299, filed Apr. 21, 2010. |
U.S. Appl. No. 12/799,355, filed Apr. 22, 2010. |
U.S. Appl. No. 12/799,641, filed Apr. 28, 2010. |
U.S. Appl. No. 12/821,301, filed Jun. 23, 2010, now U.S. Pat. No. 8,771,365. |
U.S. Appl. No. 12/853,599, filed Aug. 10, 2010, now U.S. Pat. No. 8,077,950. |
U.S. Appl. No. 13/044,413, filed Mar. 9, 2011, now U.S. Pat. No. 8,556,983. |
U.S. Appl. No. 13/157,857, filed Jun. 10, 2011, now U.S. Pat. No. 8,735,773. |
U.S. Appl. No. 13/312,339, filed Dec. 6, 2011, now U.S. Pat. No. 8,634,617. |
U.S. Appl. No. 13/294,564, filed Nov. 11, 2011, now U.S. Pat. No. 8,906,107. |
U.S. Appl. No. 13/294,573, filed Nov. 11, 2011, now U.S. Pat. No. 8,974,539. |
U.S. Appl. No. 13/294,579, filed Nov. 11, 2011, now U.S. Pat. No. 8,926,706. |
U.S. Appl. No. 13/294,617, filed Nov. 11, 2011. |
U.S. Appl. No. 13/294,623, filed Nov. 11, 2011. |
U.S. Appl. No. 13/397,457, filed Feb. 15, 2012, now U.S. Pat. No. 9,020,788. |
U.S. Appl. No. 13/399,378, filed Feb. 17, 2012. |
U.S. Appl. No. 13/561,696, filed Jul. 30, 2012. |
U.S. Appl. No. 13/565,840, filed Aug. 3, 2012. |
U.S. Appl. No. 13/718,717, filed Dec. 18, 2012. |
U.S. Appl. No. 13/718,735, filed Dec. 18, 2012. |
U.S. Appl. No. 13/746,742, filed Jan. 22, 2013. |
U.S. Appl. No. 13/761,818, filed Feb. 7, 2013. |
U.S. Appl. No. 13/835,863, filed Mar. 15, 2013. |
U.S. Appl. No. 13/886,040, filed May 2, 2013. |
U.S. Appl. No. 13/887,712, filed May 6, 2013. |
U.S. Appl. No. 13/938,081, filed Jul. 9, 2013. |
U.S. Appl. No. 14/017,176, filed Sep. 3, 2013. |
U.S. Appl. No. 14/040,890, filed Sep. 30, 2013. |
U.S. Appl. No. 14/051,003, filed Oct. 10, 2013. |
U.S. Appl. No. 14/051,087, filed Oct. 10, 2013. |
U.S. Appl. No. 14/134,064, filed Dec. 19, 2013. |
U.S. Appl. No. 14/148,511, filed Jan. 6, 2014. |
U.S. Appl. No. 14/157,707, filed Jan. 17, 2014, now U.S. Pat. No. 8,965,088. |
U.S. Appl. No. 14/236,782, filed Feb. 3, 2014. |
U.S. Appl. No. 14/216,473, filed Mar. 17, 2014. |
U.S. Appl. No. 14/222,836, filed Mar. 24, 2014, now U.S. Pat. No. 9,180,015. |
U.S. Appl. No. 14/222,253, filed Mar. 21, 2014. |
U.S. Appl. No. 14/246,335, filed Apr. 7, 2014, now U.S. Pat. No. 9,186,254. |
U.S. Appl. No. 14/259,548, filed Apr. 23, 2014. |
U.S. Appl. No. 14/285,151, filed May 22, 2014. |
U.S. Appl. No. 14/308,070, filed Jun. 18, 2014. |
U.S. Appl. No. 14/315,714, filed Jun. 26, 2014. |
U.S. Appl. No. 14/537,175, filed Nov. 10, 2014. |
U.S. Appl. No. 14/594,492, filed Jan. 12, 2015. |
U.S. Appl. No. 14/696,724, filed Apr. 27, 2015. |
Number | Date | Country | |
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20110144760 A1 | Jun 2011 | US |
Number | Date | Country | |
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61284022 | Dec 2009 | US |