Devices and methods for knee arthroplasty

Information

  • Patent Grant
  • 9549742
  • Patent Number
    9,549,742
  • Date Filed
    Friday, May 17, 2013
    11 years ago
  • Date Issued
    Tuesday, January 24, 2017
    7 years ago
Abstract
The present invention provides, in certain embodiments, a device for positioning and orienting the femoral cutting block. The present invention also provides a device for setting rotation of sagittal resection for unicompartmental knee arthroplasty. The present invention further provides methods for setting the rotation of the tibial implant by kinematic measurements.
Description
INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

Any and all applications for which a foreign or domestic priority claim is identified in the Application Data Sheet as filed with the present application are hereby incorporated by reference under 37 CFR 1.57.


BACKGROUND OF THE INVENTION

Field of the Invention


The present application includes inventions that provide devices and/or methods to assist in the distal femur resection and/or the proximal tibial resection during knee arthroplasty.


Description of the Related Art


The knee joint often requires replacement in the form of prosthetic components due to strain, stress, wear, deformation, misalignment, and/or other conditions in the joint. Prosthetic knee joint components are designed to replace a distal portion or portions of a femur and/or a proximal portion or portions of a tibia. Prior to replacing the knee joint with prosthetic components, surgical cuts commonly called resections are generally made with a cutting tool or tools along a portion or portions of both the proximal tibia and distal femur. These cuts are made to prepare the tibia and femur for the prosthetic components. After these cuts are made, the prosthetic components can be attached and/or secured to the tibia and femur.


Resecting a portion or portions of the distal femur can provide a location for placement and/or attachment of a femoral knee joint prosthetic (“distal femoral resection”). The orientation of a cutting block, and/or cutting plane or planes, can be pre-operatively determined in order to provide a desired fit and/or orientation for the femoral knee joint prosthetic. Properly orientating the cutting plane or planes along the distal femur can facilitate alignment of the femoral knee joint prosthetic with the tibial knee joint prosthetic. This alignment can create a set of knee joint prosthetics which function smoothly, continuously, and/or without substantial wear during their life of use.


Similarly, resecting a portion or portions of the proximal tibia can provide a location for placement and/or attachment of a femoral knee joint prosthetic (“proximal tibial resection”). The orientation of a cutting block, and/or cutting plane or planes, can be pre-operatively determined in order to provide a desired fit and/or orientation for the tibial knee joint prosthetic. Properly orientating the cutting plane or planes along the proximal tibia can facilitate alignment of the tibial knee joint prosthetic with the femoral knee joint prosthetic. This alignment can create a set of knee joint prosthetics which function smoothly, continuously, and/or without substantial wear during their life of use.


Joint replacement procedures described above often use a system or systems of surgical tools and devices, including but not limited to cutting guides (e.g. cutting blocks) and surgical guides, to make surgical cuts along a portion or portions of the patient's bone. Current systems and methods often use expensive, complex, bulky, and/or massive computer navigation systems which require a computer or computers, as well as three dimensional imaging, to track a spatial location and/or movement of a surgical instrument or landmark in the human body. These systems are used generally to assist a user to determine where in space a tool or landmark is located, and often require extensive training, cost, and room.


Where such complex and costly system are not used, simple methods are used, such “eyeballing” the alignment of rods with anatomical features, such as leg bones. These simple methods are not sufficiently accurate to reliably align and place implant components and the bones to which such components are attached.


Accordingly, there is a lack of devices, systems and methods that can be used to accurately position components of prosthetic joints without overly complicating the procedures, crowding the medical personnel, and/or burdening the physician of health-care facility with the great cost of complex navigation systems.


During conventional knee arthroplasty, the surgeon often visually aligns the various components required for the femoral and tibial implants.


SUMMARY OF THE INVENTION

In one embodiment, a system is provided for cutting a tibia of a leg of a patient in a uni-condylar procedure. The system includes a guide pin and a sagittal saw guide. The guide pin has a first end configured to be embedded in a distal aspect of a femur and a second end configured to protrude from the femur when the first end is so placed. The sagittal saw guide has a first portion configured to couple with the second portion of the guide pin and a second portion comprising a saw registration feature. Wherein when the first portion of the sagittal saw guide is coupled with the second portion of the guide pin, the second portion of the sagittal saw guide projects distally away from the guide pin to position the saw registration feature over the tibia in a generally sagittal plane.


In another embodiment, a method of cutting a tibia of a leg of a patient in a uni-condylar procedure is provided. The mechanical axis of a femur is located based on output from at least one inertial sensor coupled with the leg. A pin is placed in the femur at an orientation corresponding to the mechanical axis of the femur based on output from at least one inertial sensor. A sagittal saw guide is coupled with the pin such that a saw registration feature is disposed over the tibia in a generally sagittal plane. The tibia is resected along the saw registration feature. Whereby the sagittal resection is made based on the orientation of the mechanical axis of the femur.


In another embodiment, a system for preparing a femur for a femoral cutting block is provided. The system includes a first guide and a second guide. The first guide has a first portion configured to contact a posterior condyle surface and a second portion extending away from the first portion. The second portion is configured to be disposed adjacent to a resected distal femoral surface. The second portion has a drill guide feature spaced from the first portion a distance to provide a mounting position for a femoral cutting block. The second guide has a first portion having a spike member and a second portion extending away from the first portion. The second portion comprises a drill guide feature. The second guide has a linear structure configured to be aligned with a tibial plateau. Whereby the system enables the formation of a plurality of holes for mounting a femoral cutting block to the femur.


In another embodiment, a method of preparing a femur for a femoral cutting block is provided. Resection planes are formed on a distal portion of a femur and a proximal portion of a tibia. A first portion of a first guide is contacted with a posterior condyle of the femur. A second portion of the first guide is positioned over the resection plane of the femur. A first hole is formed in the femur extending superiorly (e.g., toward the hip joint) from the resection plane of the femur through the second portion of the first guide. A first portion of a second guide is coupled with the first hole. A second portion of the second guide is positioned such that a feature of the second guide is aligned with the resection plane of the tibia. A second hole is formed in the femur extending superiorly (e.g., toward the hip joint) from the resection plane of the femur through the second portion of the second guide.


In another embodiment, a system is provided for setting tibial implant rotation. The system includes at least one orientation device and a plurality of tibial trial components. The orientation device(s) is or are configured to be coupled with one or both of a femur and a tibia. Each of the tibial trial components of the plurality is configured to be placed between the tibia and the femur. The system also includes a processor configured to perform one or more of the following functions:

    • (i) gathering measurements from one or more inertial sensors of the orientation device(s);
    • (ii) performing calculations to convert the measurements from the inertial sensors to tibio-femoral kinematic information;
    • (iii) comparing the tibio-femoral kinematic information to target values of tibio-femoral kinematics; and
    • (iv) transmitting user output corresponding to one or both of the tibio-femoral kinematic information and the target vales.


In another embodiment, a method for setting tibial implant rotation is provided. In the method, at least one inertial sensor is coupled with at least one of a tibia and a femur of a leg of a patient. An implant is positioned on a resected surface of the tibia of the patient. The leg is moved to position the tibia in a plurality of positions differing in flexion, axial rotation, and/or varus-valgus relative to the femur. Values based on output of the sensors indicative of tibio-femoral kinematics are compared with tibio-femoral kinematic target values for one or more of flexion, axial rotation, and/or varus-valgus.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 shows a perspective view of an anterior-posterior positioning guide of one embodiment of the present invention;



FIG. 2 shows a perspective view of a human femur;



FIG. 3 shows a perspective view of the positioning guide shown in FIG. 1 attached to the femur shown in FIG. 2, with a tibia in an anatomically correct relative location;



FIG. 4 shows a perspective view of a drill guide of one embodiment of the present invention;



FIG. 5 shows a perspective view the drill guide shown in FIG. 4 positioned on the femur and tibia shown in FIG. 3;



FIG. 6 shows a perspective view of a reference device of one embodiment of the present invention;



FIG. 7 shows a perspective view of a femur, tibia, and a guide pin of one embodiment of the present invention;



FIG. 8 shows a front view of a surgical orientation device of one embodiment of the present invention;



FIG. 9 shows a front view of a cutting block of one embodiment of the present invention; and



FIG. 10 shows a top view of a tibia including contact point lines.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

To overcome the problems described above, the certain embodiments of the present invention include devices and/or methods to assist in distal femur resection and proximal tibial resection during knee arthroplasty.


1. Devices for Positioning and Orienting Femoral Cutting Block


The rotation of the femoral implant in total knee arthroplasty (TKA) is set by the placement of the 4-in-1 femoral cutting block, a standard component of the knee system's instrument set. This cutting block is used to guide the creation of the anterior, posterior, anterior chamfer, and posterior chamfer resections. The cutting block usually includes either two fixed spikes, or two holes for bone pins, which are used to secure it to the femur after the distal resection has been completed. Drilling or marking two holes for these features orients and locates the cutting block. The locations of these holes are typically defined by a drill guide device which the surgeon visually aligns with anatomical landmarks on the femur, but which does not account for the mechanical alignment of the femur with the tibia. A drill guide that references the tibia may improve implant function.


Following completion of the tibial resection 41 and the distal femoral resection 22, an AP (anterior-posterior) positioning guide 10 is placed on the distal surface 22 of the femur 20. Referring to FIGS. 1-3, this instrument includes a paddle 12 to reference either the medial or the lateral posterior condyle 24, and a hole 14 to position a drill at a fixed distance anterior to the paddle 12. The distance from the paddle 12 to the hole 14 is determined by the implant system's 4-in-1 cutting block dimensions: The distance is equal to the distance from the posterior cutting slot to the cutting block spike, plus the posterior thickness of the femoral implant. The surgeon drills a hole in the femur 20 through the AP positioning guide 10.


Now referring to FIGS. 4-5, a spike 32 on one end of a drill guide 30 is placed in the hole in the distal femur 22. The drill guide 30 is rotated around the spike 32 until its edge 36 is parallel to the tibial resection 41, then a second hole is drilled into the femur 20 through the hole 34 in the drill guide 30. The drill guide 30 is configured to space the two holes at the correct distance to accommodate the 4-in-1 cutting block's mounting pins.


Preferably, the technique described would include the use of some commonly-used tensioning instrument (e.g., laminar spreader) to hold the femur 20 in the correct rotational alignment with the tibia 40 while aligning the drill guide 30 with the tibial resection 41.


2. Devices for Setting Rotation of Sagittal Resection for UKA Tibial Implant


In unicompartmental knee arthroplasty (UKA), the tibial implant replaces only the (usually) medial compartment of the tibia. Accordingly, two tibial resections are performed, one in a transverse plane, and one in a sagittal plane. This sagittal resection both defines the medial-lateral position of the implant, and sets the rotation of the implant relative to the tibia. The rotation of this sagittal resection is typically visually aligned according to surgeon preference and experience. This visual alignment does not account for the mechanical alignment of the femur with the tibia. A cutting guide that references the femur may improve implant function.


Referring to FIGS. 6-7, the mechanical axis 28 of the femur 20 is calculated by a reference device 100, which contains accelerometers and gyroscopes to sense its angular orientation and rate, and which is fixed to the femur 20. The reference device 100 incorporates generally the same components and basic measurement functions as described in U.S. Pat. No. 8,118,815 for its reference device (e.g., 16), and may be identical to this device. A surgical orientation device 200, such as the device shown in FIG. 8, communicates with the reference device and displays the angle of the surgical orientation device relative to the calculated mechanical axis 28. The surgical orientation device 200 incorporates generally the same components and basic measurement functions as described in U.S. Pat. No. 8,118,815 for its surgical orientation device (e.g., 14). U.S. Pat. No. 8,118,815 is hereby incorporated by reference in its entirety.


With reference to FIG. 7, a guide pin 50 is then placed in the distal femur 20, with its axis parallel to the mechanical axis 28 of the femur 20, as determined by the reference device 100. Alternatively, the guide pin 50 may be placed to align its axis toward the femoral head 26. The surgical orientation device 200 may be used to guide placement of the pin 50.


This guide pin 50 is used to position a cutting block 60, which references the pin 50 by a mating hole 62 in the cutting block 60, and which also includes a cutting slot 64 for the sagittal resection on the tibia 40. The cutting slot 64 guides the saw during resection of the tibia 40.


Optionally, the cutting block 60 could be configured to allow medial-lateral translation between the guide hole 62 and the cutting slot 64. This would allow the rotation and position of the sagittal resection to be set independently. Also optionally, the cutting block 60 could include a second cutting slot oriented in a transverse plane. This second cutting slot would provide guidance for the saw during resection of the tibia 40 in the transverse plane.


As an alternative method, the surgical orientation device 200 could be mounted on the cutting block 60 and used to align it relative to the mechanical axis 26 without using the guide pin 50. The surgical orientation device 200 would display real-time orientation to the user during placement and pinning of the cutting block 60. If the cutting block 60 included a second (transverse) cutting slot as described above, the angular display from the surgical orientation device could also be used to align this second slot relative to the mechanical axis of the tibia 40.


3. Methods for Setting the Rotation of the Tibial Implant by Kinematic Measurements


The rotation of the tibial implant in TKA is set following completion of the tibial resection. The tibial implant can be rotated in any direction on the resected tibial surface. Final rotation of the implant is typically determined by the surgeon by one or more of three methods: 1) visually maximizing coverage of the resected surface in an attempt to place the implant as nearly as possible on the outer rim of the bone; 2) visually aligning the anterior-posterior (AP) axis of the implant with an anatomic landmark such as the tibial tubercle; 3) allowing the implant to rotate freely, then fixing the tibial implant in the rotational alignment dictated by contact with the femur with the knee in full extension (hereinafter referred to as “traditional methods”). A more precise and/or quantifiable alignment method is likely to improve implant performance and patient satisfaction. The present invention provides, in certain embodiments, such more precise and/or quantifiable alignment methods to improve implant performance and patient satisfaction.


The present invention provides, in one embodiment, a method for setting the rotation of the tibial implant by kinematic measurements based upon femur-tibia contact points. In this method of the present invention and referring to FIG. 7, the femur 20 contacts the tibia 40 at two points: one medial, and one lateral. As the knee flexes through its range of motion, the location of these contact points on the tibia 40 are recorded. At any instantaneous flexion angle, a line connecting the two contact points can be constructed, as shown in FIG. 10. Lines 42-45 represent the lines connecting the medial and lateral contact points throughout the range of motion, from line 42 at full extension, to line 45 at full flexion. At any flexion angle, a line 46-49 perpendicular to the instantaneous contact point lines 42-45 defines an AP axis that can be used as a reference for tibial component alignment.


The contact points are identified using one of several art-disclosed methods and devices including, without limitations, (i) pressure-sensitive film (e.g., “Prescale” film manufactured by Fujifilm® Corp.); and (ii) use of knee implant measurement devices such as those described by D'Lima et al., “Tibial Forces Measured In Vivo After Total Knee Arthroplasty,” Journal of Arthroplasty p. 255-262 (Vol. 21 No. 2 Feb. 2006), which contain load cells able to measure contact forces. Once the contact points and connecting line 42-45 are identified, the AP axis of the tibial component is aligned with any one of the perpendicular AP axes 46-49 chosen according to surgeon preference. Alternatively, an AP axis could be calculated as an average of all axes throughout the range of motion, or could be a weighted average with greater weight given to a specific range of flexion angles.


The present invention also provides, in one embodiment, a method for setting the rotation of the tibial implant by kinematic measurements based on inertial measurement of tibio-femoral kinematics. In this method of the present invention and referring to FIGS. 6-7, one reference device 100 is securely attached to each of the femur 20 and tibia 40. The reference device 100 attached to the femur 20 is aligned approximately with the femoral mechanical axis 28. The reference devices are preferably mounted in a manner which allows normal function of the patella to reproduce normal knee kinematics. A medialized attachment is preferred on both the tibia 40 and femur 20 to better accommodate the typical surgical exposure. Optionally, the orientation of the mechanical axis 28 is calculated relative to the reference device 100 following the method described in U.S. Pat. No. 8,118,815. If desired, this offset angle can be applied to the reference device 100 for greater measurement accuracy.


In order to establish the characteristics of the knee joint prior to resection, the surgeon brings the knee into full extension and moves the leg through a short arc of motion, pivoting about the femoral head 26 in all directions and rotating about the long axis of the leg. During this motion, the two references devices 100, stationary relative to each other, perform a “transfer alignment” to calculate the relative misalignment between the two reference devices 100, allowing the orientation of the tibial device to be established in the frame of reference of the femoral device.


The knee is then taken through a range of motion. Relative rotations between the tibia 40 and femur 20 are measured by comparing the angular changes recorded by their respective reference devices 100 throughout the range of motion. These rotations are resolved into three directions corresponding to the flexion, axial rotation, and varus/valgus directions. The rotations are transmitted to the surgical orientation device 200 as shown in FIG. 8, which graphically displays to the user plots of axial rotation and varus/valgus rotation vs. flexion angle. The surgical orientation device 200 may also display numerical values for the rotation angle at various flexion angles of interest, such as 90 degrees or 120 degrees.


During trial reduction, the surgeon repeats the above procedure. The surgical orientation device 200 then displays the aforementioned kinematic data graphically and superimposes the trial curves upon the pre-operative curves and/or calculates the appropriate amount by which the tibial component should be rotated about the tibial axis in order to best approximate the pre-operative curves. An optimization algorithm can be employed for this purpose.


The surgeon then adjusts the rotational alignment of the tibial implant and repeats the measurements above until the rotations of the tibia 40 relative to the femur 20 match the target rotations. These target rotations may be based on published averages for healthy knees, or on kinematic measurements taken from the same patient prior to resection.


As an additional optional step, the surgeon applies alternating varus and valgus torque to the knee in order to gauge the tibio-femoral rotation allowed in each direction. This varus or valgus rotation is displayed on the surgical orientation device 200, supplementing the traditional visual estimation of knee laxity in the varus/valgus direction. This rotation information provides a means to quantitatively compare the varus and valgus laxity, towards the traditional goal of balancing the two by means of soft tissue releases. This measurement can be used to quantify the laxity of the knee joint in full extension, 90 degrees flexion or any other angle to which the knee can be flexed.


The present invention further provides, in one embodiment, a method for setting the rotation of the tibial implant by kinematic measurements using load cells to measure contract forces between the tibial implant and the femoral implant. In this method of the present invention, the trial tibial implant is fitted with load cells able to measure contact forces between the tibial implant and the femoral implant. Such devices have been developed previously, and function similarly to the instrumented implant described by D'Lima et al., “Tibial Forces Measured In Vivo After Total Knee Arthroplasty,” Journal of Arthroplasty p. 255-262 (Vol. 21 No. 2 Feb. 2006).


This instrumented trial tibial component is fixed to the tibia 40 in a rotation determined by the traditional methods described above. As the knee is taken through a range of motion, the trial component transmits the measured contact forces to a surgical orientation device 200, which stores and displays the force data, either as a peak force number, a force vs. flexion angle history, or both. The surgeon then iteratively adjusts the alignment of the trial tibial component and repeats the force measurement steps. The tibial component alignment that provides the best fit with the soft tissue kinematic envelope will be identified as the configuration that produces the minimum tibio-femoral contact force.


The present invention also provides, in one embodiment, a method for setting the rotation of the tibial implant by kinematic measurements based upon measurement of tibial interface torque. In this method of the present invention, the trial tibial implant is fitted with a torque transducer able to measure axial torque between the tibial articular surface and the tibia 40. Such devices have been previously demonstrated, such as the instrumented implants described by Heinlein et al. in the Journal of Biomechanics (Vol. 41 No. 10). For the purposes of the present invention, the torque is measured around an axis approximately parallel to the long axis of the tibia 40. This instrumented trial tibial component is fixed to the tibia 40 in a rotation determined by the traditional methods described above. As the knee is taken through a range of motion, the trial component transmits the measured torque to a surgical orientation device 200, which stores and displays the torque data, either as a peak torque number, a torque vs. flexion angle history, or both. The surgeon then iteratively adjusts the alignment of the trial tibial component and repeats the torque measurement steps. The tibial component alignment that provides the best fit with the soft tissue kinematic envelope will be identified as the configuration that produces the minimum axial torque.


Many other variations than those described herein and/or incorporated by reference will be apparent from this disclosure. For example, depending on the embodiment, certain acts, events, or functions of any of the algorithms described herein can be performed in a different sequence, can be added, merged, or left out altogether (e.g., not all described acts or events are necessary for the practice of the algorithms). Moreover, in certain embodiments, acts or events can be performed concurrently, e.g., through multi-threaded processing, interrupt processing, or multiple processors or processor cores or on other parallel architectures, rather than sequentially. In addition, different tasks or processes can be performed by different machines and/or computing systems that can function together.


The various illustrative logical blocks, modules, and algorithm steps described in connection with the embodiments disclosed herein or incorporated herein by reference can be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. The described or incorporated functionality can be implemented in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosure.


The various illustrative logical blocks and modules described in connection with the embodiments disclosed herein or incorporated by reference can be implemented or performed by a machine, such as a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor can be a microprocessor, but in the alternative, the processor can be a controller, microcontroller, or state machine, combinations of the same, or the like. A processor can also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. Although described herein primarily with respect to digital technology, a processor may also include primarily analog components. For example, any of the signal processing algorithms described herein may be implemented in analog circuitry. A computing environment can include any type of computer system, including, but not limited to, a computer system based on a microprocessor, a mainframe computer, a digital signal processor, a portable computing device, a personal organizer, a device controller, and a computational engine within an appliance, to name a few.


The steps of a method, process, or algorithm described in connection with the embodiments disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of non-transitory computer-readable storage medium, media, or physical computer storage known in the art. An example storage medium can be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium can be integral to the processor. The processor and the storage medium can reside in an ASIC. The ASIC can reside in a user terminal. In the alternative, the processor and the storage medium can reside as discrete components in a user terminal.


Conditional language used herein, such as, among others, “can,” “might,” “may,” “e.g.,” and the like, unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or states. Thus, such conditional language is not generally intended to imply that features, elements and/or states are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without author input or prompting, whether these features, elements and/or states are included or are to be performed in any particular embodiment. The terms “comprising,” “including,” “having,” and the like are synonymous and are used inclusively, in an open-ended fashion, and do not exclude additional elements, features, acts, operations, and so forth. Also, the term “or” is used in its inclusive sense (and not in its exclusive sense) so that when used, for example, to connect a list of elements, the term “or” means one, some, or all of the elements in the list. Further, the term “each,” as used herein, in addition to having its ordinary meaning, can mean any subset of a set of elements to which the term “each” is applied.


While the above detailed description has shown, described, and pointed out novel features as applied to various embodiments, it will be understood that various omissions, substitutions, and changes in the form and details of the devices or algorithms illustrated can be made without departing from the spirit of the disclosure. As will be recognized, certain embodiments of the inventions described herein can be embodied within a form that does not provide all of the features and benefits set forth herein, as some features can be used or practiced separately from others.

Claims
  • 1. A method for setting tibial implant rotation, comprising: coupling at least one inertial sensor with at least one of a tibia and a femur of a leg of a patient; positioning an implant on a resected surface of the tibia of the patient; moving the leg to position the tibia in a plurality of positions differing in flexion, axial rotation, and/or varus-valgus relative to the femur; comparing values based on output of the at least one inertial sensor indicative of tibio-femoral kinematics with tibio-femoral kinematic target values for one or more of flexion, axial rotation, and/or varus-valgus; and quantitatively comparing the varus and valgus laxity.
  • 2. The method of claim 1, wherein comparing values further comprises comparing values based on output of the at least one inertial sensor with target values for a healthy knee.
  • 3. The method of claim 1, wherein comparing values further comprises comparing values based on output of the at least one inertial sensor with one or more patient-specific values.
  • 4. The method of claim 3, further comprising recording patient-specific values of tibio-femoral kinematics of the knee prior to resecting the tibia.
  • 5. The method of claim 3, further comprising recording patient-specific values of tibio-femoral kinematics of a contralateral knee prior to resecting the tibia.
  • 6. The method of claim 1, further comprising adjusting the rotation of the knee and repeating the moving step and the comparing step.
  • 7. The method of claim 1, further comprising balancing the varus and valgus laxity by soft tissue releases.
  • 8. The method of claim 1, wherein coupling the at least one inertial sensor comprises coupling a first device with the femur and a second device with the tibia.
  • 9. The method of claim 1, wherein quantitatively comparing the varus and valgus laxity comprises applying alternating varus and valgus torque in order to gauge the tibio-femoral rotation allowed in each direction.
  • 10. A method for setting tibial implant rotation, comprising: coupling at least one inertial sensor with at least one of a tibia and a femur of a leg of a patient; positioning an implant between the tibia and the femur; moving the leg to gather a measurement from the at least one inertial sensor; comparing information based on the measurement with a target value of tibio-femoral kinematics; and quantitatively comparing the varus and valgus laxity.
  • 11. The method of claim 10, wherein comparing information further comprises comparing information based on output of the at least one inertial sensor with target values for a healthy knee.
  • 12. The method of claim 10, wherein comparing information further comprises comparing information based on output of the at least one inertial sensor with one or more patient-specific values.
  • 13. The method of claim 10, further comprising balancing the varus and valgus laxity by soft tissue releases.
  • 14. The method of claim 10, wherein coupling the at least one inertial sensor comprises coupling a first device with the femur and a second device with the tibia.
  • 15. The method of claim 10, wherein quantitatively comparing the varus and valgus laxity comprises applying alternating varus and valgus torque in order to gauge the tibio-femoral rotation allowed in each direction.
  • 16. The method of claim 10, further comprising performing calculations to convert the measurements from the at least one inertial sensor to tibio-femoral kinematic information, wherein comparing information based on the measurement comprises comparing the tibio-femoral kinematic information to the target values of tibio-femoral kinematics.
  • 17. A method for setting tibial implant rotation, comprising: coupling at least one inertial sensor with at least one of a tibia and a femur of a leg of a patient; moving the leg to gather one or more measurements from the at least one inertial sensor in one or more positions differing in flexion, axial rotation, and/or varus-valgus relative to the femur; comparing a value based on the one or more measurements indicative of tibio-femoral kinematics with a tibio-femoral kinematic target value for one or more of flexion, axial rotation, and/or varus-valgus; and quantitatively comparing the varus and valgus laxity.
  • 18. The method of claim 17, further comprising positioning an implant between the tibia and the femur.
  • 19. The method of claim 17, wherein quantitatively comparing the varus and valgus laxity comprises applying alternating varus and valgus torque in order to gauge the tibio-femoral rotation allowed in each direction.
PCT Information
Filing Document Filing Date Country Kind
PCT/US2013/041556 5/17/2013 WO 00
Publishing Document Publishing Date Country Kind
WO2013/173700 11/21/2013 WO A
US Referenced Citations (592)
Number Name Date Kind
3174080 Scott Mar 1965 A
3670324 Trevor, 3rd Jun 1972 A
4349018 Chambers Sep 1982 A
4436099 Raftopoulos Mar 1984 A
4459985 McKay et al. Jul 1984 A
4475549 Oh Oct 1984 A
4501266 McDaniel Feb 1985 A
4509393 Castiglione Apr 1985 A
4518855 Malak May 1985 A
4524766 Petersen Jun 1985 A
4529348 Johnson et al. Jul 1985 A
4567885 Androphy Feb 1986 A
4567886 Petersen Feb 1986 A
4621630 Kenna Nov 1986 A
4646729 Kenna Mar 1987 A
4716894 Lazzeri et al. Jan 1988 A
4718078 Bleidorn et al. Jan 1988 A
4738253 Buechel et al. Apr 1988 A
4759350 Dunn et al. Jul 1988 A
4823807 Russell et al. Apr 1989 A
4938762 Wehrli Jul 1990 A
4944760 Kenna Jul 1990 A
4945799 Knetzer Aug 1990 A
4952213 Bowman et al. Aug 1990 A
5002547 Poggie et al. Mar 1991 A
5053037 Lackey Oct 1991 A
5065612 Ooka et al. Nov 1991 A
5122146 Chapman et al. Jun 1992 A
5129908 Petersen Jul 1992 A
5213112 Niwa et al. May 1993 A
5249581 Horbal et al. Oct 1993 A
5251127 Raab Oct 1993 A
5279309 Taylor et al. Jan 1994 A
5296855 Matsuzaki et al. Mar 1994 A
5306276 Johnson et al. Apr 1994 A
5320625 Bertin Jun 1994 A
5324293 Rehmann Jun 1994 A
5325029 Janecke et al. Jun 1994 A
5329933 Graf Jul 1994 A
5342367 Ferrante et al. Aug 1994 A
5343391 Mushabac Aug 1994 A
5358526 Tornier Oct 1994 A
5374275 Bradley et al. Dec 1994 A
5376093 Newman Dec 1994 A
5395377 Petersen et al. Mar 1995 A
5417694 Marik et al. May 1995 A
5423827 Mumme et al. Jun 1995 A
5431653 Callaway Jul 1995 A
5458645 Bertin Oct 1995 A
5462548 Pappas et al. Oct 1995 A
5468244 Attfield et al. Nov 1995 A
5470354 Hershberger et al. Nov 1995 A
5474088 Zaharkin et al. Dec 1995 A
5486177 Mumme et al. Jan 1996 A
5490854 Fisher et al. Feb 1996 A
5514143 Bonutti et al. May 1996 A
5529070 Augustine et al. Jun 1996 A
5540693 Fisher Jul 1996 A
5540696 Booth, Jr. et al. Jul 1996 A
5540697 Rehmann et al. Jul 1996 A
5553198 Wang et al. Sep 1996 A
5576727 Rosenberg et al. Nov 1996 A
5584837 Petersen Dec 1996 A
5597379 Haines et al. Jan 1997 A
5611353 Dance et al. Mar 1997 A
5624444 Wixon et al. Apr 1997 A
5628750 Whitlock et al. May 1997 A
5645077 Foxlin Jul 1997 A
5653764 Murphy Aug 1997 A
5681316 DeOrio et al. Oct 1997 A
5683398 Carls et al. Nov 1997 A
5688282 Baron et al. Nov 1997 A
5720752 Elliott et al. Feb 1998 A
5724264 Rosenberg et al. Mar 1998 A
5733292 Gustilo et al. Mar 1998 A
5748767 Raab May 1998 A
5769861 Vilsmeier Jun 1998 A
5776137 Katz Jul 1998 A
5788700 Morawa et al. Aug 1998 A
5817097 Howard et al. Oct 1998 A
5824085 Sahay et al. Oct 1998 A
5840047 Stedham Nov 1998 A
5880714 Rosenberg et al. Mar 1999 A
5916219 Matsuno et al. Jun 1999 A
5919149 Allen Jul 1999 A
5935086 Beacon et al. Aug 1999 A
5976156 Taylor et al. Nov 1999 A
6022377 Nuelle et al. Feb 2000 A
6027507 Anderson et al. Feb 2000 A
6036696 Lambrecht et al. Mar 2000 A
6056756 Eng et al. May 2000 A
6090114 Matsuno et al. Jul 2000 A
6094019 Saiki Jul 2000 A
6096043 Techiera et al. Aug 2000 A
6120509 Wheeler Sep 2000 A
6122538 Sliwa, Jr. et al. Sep 2000 A
6126608 Kemme et al. Oct 2000 A
6162191 Foxlin Dec 2000 A
6167292 Badano et al. Dec 2000 A
6171310 Giordano Jan 2001 B1
6195615 Lysen Feb 2001 B1
6197032 Lawes et al. Mar 2001 B1
6214013 Lambrech et al. Apr 2001 B1
6214014 McGann Apr 2001 B1
6216029 Paltieli Apr 2001 B1
6246898 Vesely et al. Jun 2001 B1
6258095 Lombardo et al. Jul 2001 B1
6261247 Ishikawa et al. Jul 2001 B1
6348058 Melken et al. Feb 2002 B1
6354011 Albrecht Mar 2002 B1
6361506 Saenger et al. Mar 2002 B1
6361507 Foxlin Mar 2002 B1
6361508 Johnson et al. Mar 2002 B1
6381485 Hunter et al. Apr 2002 B1
6395005 Lovell May 2002 B1
6447448 Ishikawa et al. Sep 2002 B1
6470207 Simon et al. Oct 2002 B1
6471637 Green et al. Oct 2002 B1
6473635 Rasche Oct 2002 B1
6477400 Barrick Nov 2002 B1
6477421 Andersen et al. Nov 2002 B1
6478799 Williamson Nov 2002 B1
6488713 Hershnerger Dec 2002 B1
6499488 Hunter et al. Dec 2002 B1
6514259 Picard et al. Feb 2003 B2
6527443 Vilsmeier Mar 2003 B1
6551325 Neubauer et al. Apr 2003 B2
6585666 Suh et al. Jul 2003 B2
6595997 Axelson, Jr. et al. Jul 2003 B2
6595999 Marchione et al. Jul 2003 B2
6607487 Chang et al. Aug 2003 B2
6640128 Vilsmeier et al. Oct 2003 B2
6679916 Frankie et al. Jan 2004 B1
6685711 Axelson et al. Feb 2004 B2
6711431 Sarin et al. Mar 2004 B2
6712824 Millard et al. Mar 2004 B2
6715213 Richter Apr 2004 B2
6725080 Melkent et al. Apr 2004 B2
6725173 An Apr 2004 B2
6743235 Rao Jun 2004 B2
6770078 Bonutti Aug 2004 B2
6786877 Foxlin Sep 2004 B2
6820025 Bachmann et al. Nov 2004 B2
6827723 Carson Dec 2004 B2
6917827 Kienzle, III Jul 2005 B2
6923817 Carson et al. Aug 2005 B2
6928742 Broers et al. Aug 2005 B2
6947783 Immerz Sep 2005 B2
6986181 Murphy et al. Jan 2006 B2
6997882 Parker et al. Feb 2006 B1
7007699 Martinelli et al. Mar 2006 B2
7021140 Perkins Apr 2006 B2
7027477 Sutter et al. Apr 2006 B2
7037310 Murphy May 2006 B2
7048741 Swanson May 2006 B2
7089148 Bachmann et al. Aug 2006 B1
7094241 Hodorek et al. Aug 2006 B2
7104998 Yoon et al. Sep 2006 B2
7105028 Murphy Sep 2006 B2
7194295 Vilsmeier Mar 2007 B2
7209776 Leitner Apr 2007 B2
7219033 Kolen May 2007 B2
7273500 Williamson Sep 2007 B2
7331932 Leitner Feb 2008 B2
7344541 Haines et al. Mar 2008 B2
7392076 de La Barrera Jun 2008 B2
7396357 Tornier et al. Jul 2008 B2
7412897 Crottet et al. Aug 2008 B2
7442196 Fisher et al. Oct 2008 B2
7444178 Goldbach Oct 2008 B2
7468075 Lang et al. Dec 2008 B2
7497029 Plassky et al. Mar 2009 B2
7520880 Claypool et al. Apr 2009 B2
7547307 Carson et al. Jun 2009 B2
7559931 Stone Jul 2009 B2
7575602 Amirouche et al. Aug 2009 B2
7578821 Fisher et al. Aug 2009 B2
7591854 Wasielewski Sep 2009 B2
7611520 Broers et al. Nov 2009 B2
7611522 Gorek Nov 2009 B2
7615005 Stefanchik et al. Nov 2009 B2
7621920 Claypool et al. Nov 2009 B2
7623902 Pacheco Nov 2009 B2
7632283 Heldreth Dec 2009 B2
7726564 Goldbach Jun 2010 B2
7776098 Murphy Aug 2010 B2
7831292 Quaid et al. Nov 2010 B2
7834847 Boillot et al. Nov 2010 B2
7837691 Cordes et al. Nov 2010 B2
D629900 Fisher Dec 2010 S
7846092 Murphy Dec 2010 B2
7857821 Couture et al. Dec 2010 B2
7885705 Murphy Feb 2011 B2
7918887 Roche Apr 2011 B2
7927336 Rasmussen Apr 2011 B2
7970174 Goldbach Jun 2011 B2
8000926 Roche et al. Aug 2011 B2
8057479 Stone Nov 2011 B2
8057482 Stone Nov 2011 B2
8075254 Morgan et al. Dec 2011 B2
8098544 Roche et al. Jan 2012 B2
8099168 Roche Jan 2012 B2
8109942 Carson Feb 2012 B2
8118815 Van Der Walt Feb 2012 B2
8146422 Stein Apr 2012 B2
8197549 Amirouche et al. Jun 2012 B2
8211041 Fisher et al. Jul 2012 B2
8241296 Wasielewski Aug 2012 B2
8257360 Richard et al. Sep 2012 B2
8265790 Amiot et al. Sep 2012 B2
8267938 Murphy Sep 2012 B2
8277455 Couture et al. Oct 2012 B2
8282646 Schoenefeld et al. Oct 2012 B2
8317797 Rasmussen Nov 2012 B2
8337428 Stein et al. Dec 2012 B2
8355773 Leitner et al. Jan 2013 B2
8394104 Disilvestro Mar 2013 B2
8421308 Adachi Apr 2013 B2
8421642 Mcintosh et al. Apr 2013 B1
8421854 Zerkin Apr 2013 B2
8427176 Stein Apr 2013 B2
8446473 Goldbach May 2013 B2
8490488 Stein et al. Jul 2013 B2
8491589 Fisher et al. Jul 2013 B2
8506571 Chana et al. Aug 2013 B2
8512346 Couture Aug 2013 B2
8516884 Stein et al. Aug 2013 B2
8516907 Stein et al. Aug 2013 B2
8539830 Stein Sep 2013 B2
8551023 Sherman et al. Oct 2013 B2
8551108 Pelletier et al. Oct 2013 B2
8556830 Sherman et al. Oct 2013 B2
8556972 Gordon et al. Oct 2013 B2
8588892 Hladio et al. Nov 2013 B2
8661893 Stein et al. Mar 2014 B2
8668646 Stein et al. Mar 2014 B2
8679186 Stein et al. Mar 2014 B2
8690888 Stein et al. Apr 2014 B2
8696756 Stein et al. Apr 2014 B2
8701484 Stein et al. Apr 2014 B2
8707782 Stein et al. Apr 2014 B2
8714009 Stein et al. May 2014 B2
8715290 Fisher et al. May 2014 B2
8718820 Amiot et al. May 2014 B2
8720270 Stein et al. May 2014 B2
8721568 Rock et al. May 2014 B2
8734454 Disilvestro May 2014 B2
8743432 Buswell et al. Jun 2014 B2
8746062 Stein et al. Jun 2014 B2
8758355 Fisher et al. Jun 2014 B2
8764758 Echeverri Jul 2014 B2
8777877 Stein et al. Jul 2014 B2
8784339 Stein et al. Jul 2014 B2
8814810 Roche et al. Aug 2014 B2
8826733 Stein et al. Sep 2014 B2
8828013 Fisher et al. Sep 2014 B2
8864686 Roche et al. Oct 2014 B2
8876831 Rasmussen Nov 2014 B2
8888786 Stone Nov 2014 B2
8906027 Roche Dec 2014 B2
8906107 Bojarski et al. Dec 2014 B2
8911447 Van Der Walt et al. Dec 2014 B2
8911448 Stein Dec 2014 B2
8926530 Stein et al. Jan 2015 B2
8926706 Bojarski et al. Jan 2015 B2
8939030 Stein et al. Jan 2015 B2
8945133 Stein et al. Feb 2015 B2
8974467 Stone Mar 2015 B2
8974468 Borja Mar 2015 B2
8974539 Bojarski et al. Mar 2015 B2
8979758 Stein et al. Mar 2015 B2
8998910 Borja et al. Apr 2015 B2
9005207 Dodds et al. Apr 2015 B2
9011448 Roche et al. Apr 2015 B2
9095275 Clark Aug 2015 B2
9095352 Fisher et al. Aug 2015 B2
9141254 Boillot et al. Sep 2015 B2
9161717 Stein et al. Oct 2015 B2
9168032 Hutchison et al. Oct 2015 B2
9189083 Roche et al. Nov 2015 B2
9192392 Van Der Walt et al. Nov 2015 B2
9199733 Keennon et al. Dec 2015 B2
9226694 Stein et al. Jan 2016 B2
9232951 Johannaber Jan 2016 B2
9237885 Stein et al. Jan 2016 B2
9259172 Stein et al. Feb 2016 B2
9259179 Stein Feb 2016 B2
9262802 Aghazadeh Feb 2016 B2
9265447 Stein et al. Feb 2016 B2
9271675 Stein et al. Mar 2016 B2
9271756 Van Der Walt et al. Mar 2016 B2
9289163 Stein et al. Mar 2016 B2
9332943 Stein et al. May 2016 B2
9339212 Stein et al. May 2016 B2
9339226 Van Der Walt et al. May 2016 B2
9345449 Stein et al. May 2016 B2
9345492 Stein et al. May 2016 B2
9351782 Stein et al. May 2016 B2
9358136 Stein et al. Jun 2016 B2
9375178 Aghazadeh Jun 2016 B2
20020077540 Kienzie, III Jun 2002 A1
20020103610 Bachmann et al. Aug 2002 A1
20020107522 Picard et al. Aug 2002 A1
20020133175 Carson Sep 2002 A1
20020198451 Carson Dec 2002 A1
20030019294 Richter Jan 2003 A1
20030069591 Carson et al. Apr 2003 A1
20030093080 Brown et al. May 2003 A1
20030105470 White Jun 2003 A1
20030120282 Scouten et al. Jun 2003 A1
20030153978 Whiteside Aug 2003 A1
20030163142 Paltieli et al. Aug 2003 A1
20030184297 Jakab Oct 2003 A1
20030199882 Gorek Oct 2003 A1
20030204965 Hennessey Nov 2003 A1
20030229356 Dye Dec 2003 A1
20040006393 Burkinshaw Jan 2004 A1
20040019382 Amirouche et al. Jan 2004 A1
20040034313 Leitner Feb 2004 A1
20040039396 Couture et al. Feb 2004 A1
20040068260 Cossette et al. Apr 2004 A1
20040087962 Gorek May 2004 A1
20040097952 Sarin et al. May 2004 A1
20040102792 Sarin et al. May 2004 A1
20040106916 Quaid et al. Jun 2004 A1
20040147926 Iversen Jul 2004 A1
20040149036 Foxlin et al. Aug 2004 A1
20040152970 Hunter et al. Aug 2004 A1
20040153066 Coon et al. Aug 2004 A1
20040153079 Tsougarakis et al. Aug 2004 A1
20040181144 Cinquin et al. Sep 2004 A1
20040201857 Foxlin Oct 2004 A1
20040243148 Wasielewski Dec 2004 A1
20050021037 McCombs et al. Jan 2005 A1
20050021044 Stone et al. Jan 2005 A1
20050038442 Freeman Feb 2005 A1
20050107799 Graf et al. May 2005 A1
20050113846 Carson May 2005 A1
20050149040 Haines et al. Jul 2005 A1
20050197814 Aram et al. Sep 2005 A1
20050209605 Grimm et al. Sep 2005 A1
20050222574 Giordano et al. Oct 2005 A1
20050234332 Murphy Oct 2005 A1
20050251026 Stone Nov 2005 A1
20050251148 Friedrich Nov 2005 A1
20060015018 Jutras et al. Jan 2006 A1
20060015120 Richard et al. Jan 2006 A1
20060020177 Seo et al. Jan 2006 A1
20060064105 Raistrick et al. Mar 2006 A1
20060089657 Broers et al. Apr 2006 A1
20060094958 Marquart et al. May 2006 A1
20060122491 Murray et al. Jun 2006 A1
20060142656 Malackowski et al. Jun 2006 A1
20060142657 Quaid et al. Jun 2006 A1
20060161051 Terrill-Grisoni Jul 2006 A1
20060217733 Plassky et al. Sep 2006 A1
20060217734 Sanford et al. Sep 2006 A1
20060241639 Kuczynski et al. Oct 2006 A1
20060270949 Mathie et al. Nov 2006 A1
20060282023 Leitner Dec 2006 A1
20070032748 McNeil et al. Feb 2007 A1
20070043287 Degraaf Feb 2007 A1
20070066917 Hodorek et al. Mar 2007 A1
20070118139 Cuellar et al. May 2007 A1
20070162142 Stone Jul 2007 A1
20070179626 de la Barrera et al. Aug 2007 A1
20070219561 Lavallee et al. Sep 2007 A1
20070226986 Park et al. Oct 2007 A1
20070249967 Buly et al. Oct 2007 A1
20070270973 Johnson et al. Nov 2007 A1
20070287911 Haid et al. Dec 2007 A1
20080039868 Tuemmler et al. Feb 2008 A1
20080058945 Hajaj et al. Mar 2008 A1
20080071195 Cuellar et al. Mar 2008 A1
20080103509 Goldbach May 2008 A1
20080162074 Schneider Jul 2008 A1
20080183179 Siebel et al. Jul 2008 A1
20080195109 Hunter et al. Aug 2008 A1
20080202200 West Aug 2008 A1
20080211768 Breen et al. Sep 2008 A1
20080243127 Lang et al. Oct 2008 A1
20080249394 Giori et al. Oct 2008 A1
20080262812 Arata et al. Oct 2008 A1
20080275451 McAllister et al. Nov 2008 A1
20080281328 Lang et al. Nov 2008 A1
20080285805 Luinge et al. Nov 2008 A1
20090000626 Quaid et al. Jan 2009 A1
20090000627 Quaid et al. Jan 2009 A1
20090012532 Quaid et al. Jan 2009 A1
20090018544 Heavener Jan 2009 A1
20090040224 Igarashi et al. Feb 2009 A1
20090088753 Aram et al. Apr 2009 A1
20090138019 Wasielewski May 2009 A1
20090171370 Yoon et al. Jul 2009 A1
20090209884 Van Vorhis et al. Aug 2009 A1
20090216247 Collette Aug 2009 A1
20090234360 Alexander Sep 2009 A1
20090247863 Proulx et al. Oct 2009 A1
20090248044 Amiot et al. Oct 2009 A1
20090264737 Haechler et al. Oct 2009 A1
20090270864 Poncet Oct 2009 A1
20090270865 Poncet et al. Oct 2009 A1
20090270868 Park et al. Oct 2009 A1
20090270869 Colquhoun et al. Oct 2009 A1
20090270874 Santarella et al. Oct 2009 A1
20090270875 Poncet Oct 2009 A1
20090270928 Stone et al. Oct 2009 A1
20090276054 Clifford et al. Nov 2009 A1
20090281545 Stubbs Nov 2009 A1
20090292227 Scholten et al. Nov 2009 A1
20090299416 Haenni et al. Dec 2009 A1
20090299483 Amirouche et al. Dec 2009 A1
20090306679 Murphy Dec 2009 A1
20090312973 Hatlestad et al. Dec 2009 A1
20090318836 Stone et al. Dec 2009 A1
20090318930 Stone et al. Dec 2009 A1
20090318931 Stone et al. Dec 2009 A1
20090324078 Wu et al. Dec 2009 A1
20100010506 Murphy Jan 2010 A1
20100016705 Stone Jan 2010 A1
20100023018 Theofilos Jan 2010 A1
20100063508 Borja Mar 2010 A1
20100063509 Borja et al. Mar 2010 A1
20100064216 Borja et al. Mar 2010 A1
20100069911 Borja et al. Mar 2010 A1
20100076505 Borja Mar 2010 A1
20100100011 Roche Apr 2010 A1
20100100154 Roche Apr 2010 A1
20100113980 Herr et al. May 2010 A1
20100121334 Couture et al. May 2010 A1
20100137871 Borja Jun 2010 A1
20100153081 Bellettre et al. Jun 2010 A1
20100179605 Branch et al. Jul 2010 A1
20100182914 DelRegno et al. Jul 2010 A1
20100192662 Yanni Aug 2010 A1
20100198067 Mahfouz et al. Aug 2010 A1
20100198275 Chana et al. Aug 2010 A1
20100204551 Roche Aug 2010 A1
20100204575 Roche et al. Aug 2010 A1
20100204955 Roche et al. Aug 2010 A1
20100211077 Couture et al. Aug 2010 A1
20100239996 Ertl Sep 2010 A1
20100249533 Pierce et al. Sep 2010 A1
20100249534 Pierce et al. Sep 2010 A1
20100249535 Pierce et al. Sep 2010 A1
20100249659 Sherman et al. Sep 2010 A1
20100249665 Roche Sep 2010 A1
20100249787 Roche Sep 2010 A1
20100249788 Roche Sep 2010 A1
20100249790 Roche Sep 2010 A1
20100249791 Roche Sep 2010 A1
20100250276 Pierce et al. Sep 2010 A1
20100250284 Roche et al. Sep 2010 A1
20100250571 Pierce et al. Sep 2010 A1
20100256504 Moreau-Gaudry et al. Oct 2010 A1
20100261998 Stiehl Oct 2010 A1
20100268067 Razzaque et al. Oct 2010 A1
20100298661 McCombie et al. Nov 2010 A1
20100324457 Bean et al. Dec 2010 A1
20100326187 Stein Dec 2010 A1
20100326194 Stein et al. Dec 2010 A1
20100326210 Stein et al. Dec 2010 A1
20100326211 Stein Dec 2010 A1
20100327848 Stein Dec 2010 A1
20100327880 Stein Dec 2010 A1
20100328077 Stein Dec 2010 A1
20100328098 Stein et al. Dec 2010 A1
20100331633 Stein Dec 2010 A1
20100331663 Stein Dec 2010 A1
20100331679 Stein Dec 2010 A1
20100331680 Stein Dec 2010 A1
20100331681 Stein et al. Dec 2010 A1
20100331682 Stein et al. Dec 2010 A1
20100331683 Stein et al. Dec 2010 A1
20100331685 Stein et al. Dec 2010 A1
20100331687 Stein et al. Dec 2010 A1
20100331704 Stein et al. Dec 2010 A1
20100331718 Stein Dec 2010 A1
20100331733 Stein Dec 2010 A1
20100331734 Stein Dec 2010 A1
20100331735 Stein Dec 2010 A1
20100331736 Stein Dec 2010 A1
20100331737 Stein et al. Dec 2010 A1
20100331738 Stein et al. Dec 2010 A1
20100331894 Stein Dec 2010 A1
20100332152 Stein Dec 2010 A1
20110028865 Luinge et al. Feb 2011 A1
20110032184 Roche et al. Feb 2011 A1
20110093081 Chana et al. Apr 2011 A1
20110160572 Mcintosh et al. Jun 2011 A1
20110160616 Stein et al. Jun 2011 A1
20110160738 Mcintosh et al. Jun 2011 A1
20110208093 Gross et al. Aug 2011 A1
20110213275 Boos et al. Sep 2011 A1
20110218458 Valin et al. Sep 2011 A1
20110218546 De La Fuente Klein et al. Sep 2011 A1
20110275957 Bhandari Nov 2011 A1
20120029389 Amiot et al. Feb 2012 A1
20120053488 Boutin et al. Mar 2012 A1
20120053594 Pelletier et al. Mar 2012 A1
20120093377 Tsougarakis et al. Apr 2012 A1
20120157887 Fanson et al. Jun 2012 A1
20120172712 Bar-Tal Jul 2012 A1
20120172762 Boyer et al. Jul 2012 A1
20120203140 Malchau et al. Aug 2012 A1
20120209117 Mozes et al. Aug 2012 A1
20120232429 Fischer et al. Sep 2012 A1
20120290088 Amirouche et al. Nov 2012 A1
20120316567 Gross et al. Dec 2012 A1
20120330367 Roche et al. Dec 2012 A1
20130023794 Stein et al. Jan 2013 A1
20130023795 Stein et al. Jan 2013 A1
20130079668 Stein et al. Mar 2013 A1
20130079669 Stein et al. Mar 2013 A1
20130079670 Stein et al. Mar 2013 A1
20130079671 Stein et al. Mar 2013 A1
20130079675 Stein et al. Mar 2013 A1
20130079678 Stein et al. Mar 2013 A1
20130079679 Roche et al. Mar 2013 A1
20130079680 Stein et al. Mar 2013 A1
20130079790 Stein et al. Mar 2013 A1
20130079791 Stein et al. Mar 2013 A1
20130079793 Stein et al. Mar 2013 A1
20130079884 Stein et al. Mar 2013 A1
20130096567 Fisher et al. Apr 2013 A1
20130102929 Haight et al. Apr 2013 A1
20130103038 Fischer et al. Apr 2013 A1
20130110250 Li May 2013 A1
20130190887 Fanson et al. Jul 2013 A1
20130203031 Mckinnon et al. Aug 2013 A1
20130226034 Stein et al. Aug 2013 A1
20130226035 Stein et al. Aug 2013 A1
20130226036 Stein et al. Aug 2013 A1
20130226190 Mckinnon et al. Aug 2013 A1
20130261758 Claypool et al. Oct 2013 A1
20130274633 Hladio et al. Oct 2013 A1
20130296860 Chana et al. Nov 2013 A1
20130331850 Bojarski et al. Dec 2013 A1
20140005673 Pelletier et al. Jan 2014 A1
20140018707 Sherman et al. Jan 2014 A1
20140031672 McCaulley et al. Jan 2014 A1
20140052149 Van Der Walt et al. Feb 2014 A1
20140094715 Stein et al. Apr 2014 A1
20140107796 Stein et al. Apr 2014 A1
20140114179 Muller et al. Apr 2014 A1
20140134586 Stein et al. May 2014 A1
20140135624 Stein et al. May 2014 A1
20140135655 Stein et al. May 2014 A1
20140135658 Hladio et al. May 2014 A1
20140135744 Stein et al. May 2014 A1
20140135773 Stein et al. May 2014 A1
20140136143 Stein et al. May 2014 A1
20140148676 Stein et al. May 2014 A1
20140171754 Stein et al. Jun 2014 A1
20140182062 Aghazadeh Jul 2014 A1
20140222007 Rock et al. Aug 2014 A1
20140228851 Guloy, Jr. et al. Aug 2014 A1
20140276000 Mullaney et al. Sep 2014 A1
20140276240 Stein et al. Sep 2014 A1
20140276241 Stein et al. Sep 2014 A1
20140276860 Stein et al. Sep 2014 A1
20140276861 Stein et al. Sep 2014 A1
20140276863 Stein et al. Sep 2014 A1
20140276864 Aghazadeh Sep 2014 A1
20140276885 Stein et al. Sep 2014 A1
20140276886 Stein et al. Sep 2014 A1
20140277526 Stein et al. Sep 2014 A1
20140277542 Stein et al. Sep 2014 A1
20140288563 Claypool et al. Sep 2014 A1
20140296860 Stein et al. Oct 2014 A1
20140330105 Roche Nov 2014 A1
20140330281 Aghazadeh Nov 2014 A1
20140364858 Li et al. Dec 2014 A1
20150018718 Aghazadeh Jan 2015 A1
20150080901 Stein Mar 2015 A1
20150100058 Van Der Walt et al. Apr 2015 A1
20150100059 Chana et al. Apr 2015 A1
20150106024 Lightcap et al. Apr 2015 A1
20150150569 Van Der Walt et al. Jun 2015 A1
20150157335 Rasmussen Jun 2015 A1
20150238204 Stone Aug 2015 A1
20150265363 White et al. Sep 2015 A1
20150272478 Borja Oct 2015 A1
20150272597 Johannaber Oct 2015 A1
20150313725 Fisher et al. Nov 2015 A1
20150335448 Lorio et al. Nov 2015 A1
20150342516 Nguyen et al. Dec 2015 A1
20160030156 Cole Feb 2016 A1
20160074053 Hutchison et al. Mar 2016 A1
20160081762 Stein et al. Mar 2016 A1
20160089079 Stein Mar 2016 A1
20160213383 Van Der Walt et al. Jul 2016 A1
Foreign Referenced Citations (53)
Number Date Country
2241359 Dec 1999 CA
2 594 874 Jul 2006 CA
2 537 711 Aug 2007 CA
4 225 112 Dec 1993 DE
29704393 Aug 1997 DE
198 30 359 Jan 2000 DE
0 557 591 Sep 1993 EP
0 675 698 Oct 1995 EP
1 304 093 Oct 2005 EP
1 814 471 Mar 2010 EP
1 817 547 Apr 2012 EP
2 567 665 Mar 2013 EP
2 588 030 May 2013 EP
2 822 481 Jan 2015 EP
2 197 790 Jun 1988 GB
07-184929 Jul 1995 JP
H08-240611 Sep 1996 JP
2006-314775 Nov 2006 JP
2007-503289 Feb 2007 JP
2007-534351 Nov 2007 JP
WO 94020040 Sep 1994 WO
WO 94027516 Dec 1994 WO
WO 9960939 Dec 1999 WO
WO 0130247 May 2001 WO
WO 0200131 Jan 2002 WO
WO 0217798 Mar 2002 WO
WO 2004080323 Sep 2004 WO
WO 2004112610 Dec 2004 WO
WO 2005006993 Jan 2005 WO
WO 2006078236 Jul 2006 WO
WO 2006119387 Nov 2006 WO
WO 2006136836 Dec 2006 WO
WO 2007136784 Nov 2007 WO
WO 2008073999 Jun 2008 WO
WO 2008129414 Oct 2008 WO
WO 2009117833 Oct 2009 WO
WO 2010011978 Jan 2010 WO
WO 2010030809 Mar 2010 WO
WO 2011044273 Apr 2011 WO
WO 2012006172 Jan 2012 WO
WO 2012027815 Mar 2012 WO
WO 2012027816 Mar 2012 WO
WO 2012082164 Jun 2012 WO
WO 2012113054 Aug 2012 WO
WO 2013012561 Jan 2013 WO
WO 2013044157 Mar 2013 WO
WO 2013044165 May 2013 WO
WO 2013044174 Jul 2013 WO
WO 2013169674 Nov 2013 WO
WO 2013173700 Nov 2013 WO
WO 2013188960 Dec 2013 WO
WO 2014028227 Feb 2014 WO
WO 2015038979 Mar 2015 WO
Non-Patent Literature Citations (81)
Entry
Extended European Search Report issue in European Patent Application No. 13790292.0, dated Oct. 28, 2015, in 7 pages.
510 (k) Summary for Total Knee Surgetics Navigation System, in 5 pages.
510 (k) Summary of Safety and Effectiveness for BrainLAB knee, in 5 pages.
Anderson MD., Kevin, et al., “Computer Assisted Navigation in Total Knee Arthroplasty”, The Journal of Arthroplasty, 2005, vol. 20, No. 7, Suppl. 3, in 7 pages.
Ang, et al., An Active Hand-Held Instrument for Enhanced Microsurgical Accuracy, Medical Image Computing and Computer-Assisted Intervention, 2000, vol. 1935, pp. 878-887.
Arnold-Moore, et. al., Architecture of a Content Management Server for XML Document Applications, RMIT Multimedia Database Systems, Royal Melbourne Institute of Technology, Victoria Australia, in 12 pages.
ArthroCAD, Enhancing orthopedic outcomes through optimal alignment, 2012, Pages in 2 pages.
Bae et al., “Computer Assisted Navigation in Knee Arthroplasty”, Clinics in Orthopedic Surgery, 2011, vol. 3, pp. 259-267.
Bargren, MD., et al,, Alignment in Total Knee Arthroplasty, Correlated Biomechanical and Clinical Observations, Clinical Orthopaedics and Related Research, Mar. 1, 1983, Issue 173, pp. 178-183, Philadelphia.
Bathis, H. et al., “Alignment in total knee arthroplasty”, The Journal of Bone & Joint Surgery (Br), 2004, 86-B, pp. 682-687, British Editorial.
Bhandari, Design and Prototype of a Computer Assisted Surgical Navigation System for Total Knee Replacement Surgery, May 12, 2009, Pages in 294 pages.
Biomet Orthopedics, Inc, Vision Acetabular Surgical Techniques, website brochure, pp. 16 pages.
Biomet Orthopedics, Inc., Universal Ringlock® Acetabular Series, Vol. website brochure, pp. 13 pages.
Brennan, et al., Quantification of Inertial Sensor-Based 3D Joint Angle Measurement Accuracy Using and Instrumented Gimbal, Gait & Posture, May 23, 2011, vol. 34, pp. 320-323.
Chauhan, et al., Computer-Assisted Knee Arthroplasty Versus a Conventional Jig-Based Technique, The Journal of Bone & Joint Surge 2004, vol. 86-B, pp. 372-377.
Cutti, et al., Motion Analysis of the Upper-Limb Based on Inertial Sensors: Part 1—Protocol Description, Journal of Biomechanics, Jan. 1, 2007, vol. 40, pp. S250.
Decking, MD., et al., Leg Axis After Computer-Navigated Total Knee Arthroplasty, The Journal of Arthroplasty, 2005, vol. 20, Issue 3, pp. 282-288.
Depuy, Johnson & Johnson, Co.,, Summit Cemented Hip System, website brochure, pp. 21 pages.
Digioia III, MD., et al., “Comparison of a Mechanical Acetabular Alignment Guide with Computer Placement of the Socket”, The Journal of Arthroplasty, Apr. 2002, vol. 17, No. 3, in 6 pages.
Eric Foxlin, Chapter 7. Motion Tracking Requirements and Technologies, Handbook of Virtual Environment Technology, 2002, vol. Kay Stanney, Ed., Issue Lawrence Erlbaum Ass.
Favre, et al., 3D Evaluation of the Knee Joint Using Ambulatory System: Application to ACL-Deficient Knees, Journal of Biomechanics, Jan. 1, 2007, vol. 40, pp. S251.
Favre, et al., A New Ambulatory System for Comparative Evaluation of the Three-Dimensional Knee Kinematics, Applied to Anterior Cruciate Ligament Injuries, Knee Surgery, Sports Traumatology, Arthroscopy, Jan. 19, 2006, vol. 14, pp. 592-604.
Favre, et al., Ambulatory Measurement of 3D Knee Joint Angle, Journal of Biomechanics, Jan. 28, 2008, vol. 41, Issue 1029-1035.
Fixed Reference Surgical Technique, SIGMA High Performance Instruments, DePuy Orthopaedics, Inc., 2008, Warsaw, IN, in 52pages.
Ganapathi et al., “Limb Length and Femoral Offset Reconstruction During THA Using CT-Free Computer Navigation”, The Journal of Bone and Joint Surgery, 2009, vol. 91-B, Supplement III, p. 399.
Goniometer, AllHeart.com, 2004, website: http://allheart.com/allheart, (1 page).
Haaker et al., “Computer-Assisted Navigation Increases Precision of Component Placement in Total Knee Arthroplasty”, Clinical Orthopaedics and Related Research, Apr. 2005, vol. 433, pp. 152-159.
Hofstetter, Ph.D., et al., “Computer-Assisted Fluoroscopy-Based Reduction of Femoral Fractures and Antetorsion Correction”, Computer Aided Surgery, 2000, vol. 5, pp. 311-325, Wiley-Liss, Inc.
Hsieh, Pang-Hsin, et al., “Image-guided periacetabular osteotomy: computer-assisted navigation compared with the conventional technique: A randomized study of 36 patients followed for 2 years”, Acta Orthopaedica, Aug. 1, 2006, 77:4, pp. 591-597.
International Preliminary Report for Application No. PCT/US2004/018244, dated Dec. 13, 2005, in 11 pages.
International Search Report and Written Opinion issued in PCT Application No. PCT/US2013/039770, dated Sep. 25, 2013.
International Preliminary Report on Patentability issued in PCT Application No. PCT/US2013/039770, dated Nov. 11, 2014.
International Search Report and Written Opinion issued in PCT Application No. PCT/US2013/041556, dated Sep. 13, 2013.
International Preliminary Report on Patentability issued in PCT Application No. PCT/US2013/041556, dated Nov. 18, 2014.
International Search Report and Written Opinion issued in PCT Application No. PCT/US2013/053182, dated Nov. 11, 2013.
International Search Report for Application No. PCT/US2004/018244, dated Feb. 15, 2005, in 4 pages.
International Search Report for International Application No. PCT/US2009/051769 dated Nov. 19, 2009, in 11 pages.
International Search Report for International Application No. PCT/US2009/051769 dated Nov. 19, 2009, in 3 pages.
International Search Report for International Application No. PCT/US2011/022162, dated Jun. 16, 2011, in 4 pages.
International Search Report for International Application No. PCT/US2009/056553, dated Nov. 4, 2009, in 12 pages.
International Preliminary Report on Patentability issued in PCT Application No. PCT/US2013/053182, dated Feb. 17, 2015, in 10 pages.
Jenny, et al., Computer-Assisted Implantation of Total Knee Prosthesis: A Case-Control Comparative Study with Classical Instrumentation, Computer Aided Surgery, 2001, vol. 6, pp. 217-220.
Konyves et al., “The importance of leg length discrepancy after total hip arthroplasty”, The Journal of Bone & Joint Surgery (Br), Feb. 2005, vol. 87-B, No. 2, pp. 155-157.
Leenders, MD., et al., “Reduction in Variability of Acetabular Cup Abduction Using Computer Assisted Surgery: A Prospective and Randomized Study”, Computer Aided Surgery, 2002, vol. 7, pp. 99-106.
Leung, et al., Intraobserver Errors in Obtaining Visually Selected Anatomic Landmarks During Registration Process in Nonimage-based Navigation-assisted Total Knee Arthroplasty, The Journal of Arthroplasty, 2005, vol. 20, Issue 5, pp. 591-601.
Liebergall, Meir, et al., “Computerized Navigation for the Internal Fixation of Femoral Neck Fractures”, The Journal of Bone & Joint Surgery Am, 2006, vol. 88, pp. 1748-1754.
Longo, et al., MIKA Surgical Technique, DJO Surgical, 2008, Austin Texas in 14 pages.
Luinge, Inertial Sensing of Human Movement, Twente University Press, Feb. 15, 1973, Pages in 88 pages.
Mackenzie, et al., A Two-Ball Mouse Affords Three Degrees of Freedom, Extended Abstracts of the CHI '97 Conference on Human Factors in Compounding Systems (as printed from the internet on Jun. 13, 2012 URL: http://www.yorku.ca/mack/CHI97a.htm), 1997, pp. 303-304.
Medical Research Ltd, Clinical Goniometer, http://www.mie-uk.com/Gonio, 1997, pp. 1 page.
Minimally Invasive TKA GENESIS II Anterior Cut First, Surgical Technique, Smith & Nephew, Nov. 2003, Memphis TN, in 16 pages.
Noble et al., “Computer Simulation: How Can it Help the Surgeon Optimize Implant Position?”, Clinical Orthopaedics and Related Research, Dec. 2003, vol. 417, pp. 242-252.
Parratte, Sebastien, et al., “Validation and Usefulness of a Computer-Assisted Cup-Positioning System in Total Hip Arthroplasty. A Prospective, Randomized, Controlled Study”, The Journal of Bone & Joint Surgery Am, 2007, vol. 89, pp. 494-499.
Ritter, M.D., et al., Postoperative Alignment of Total Knee Replacement, Its Effect on Survival, Clinical Orthopaedics and Related Research, Feb. 1, 1994, Issue 299, pp. 153-156, Philadelphia.
Rocon, et al., Application of Inertial Sensors and Rehabilitation Robotics, Rehabilitation Robotics 2007, Jun. 1, 2007, pp. 145-150.
Sacks-Davis et. Al., Atlas: A nested Relational Database System for Text Applications, IEEE Transations on Knowledge and Data Engineering, v.7, n.3, Jun. 1995, pp. 454-470.
Schep, et al., “Computer assisted orthopaedic and trauma surgery State of the art and future perspectives”, Injury Int. J. Care Injured 34, (website: www.elsevier.com/locate/injury), 2003 pp. 299-306.
Scott, M.S., et al., P.F.C. Sigma Knee System, Primary Surgical Technique Part 1 of 2, DePuy International Ltd., 2003, England, (up to p. 44), in 48 pages.
Scott, M.S., et al., P.F.C. Sigma Knee System, Primary Surgical Technique Part 2 of 2, DePuy International Ltd., 2003, England, Part A (up to p. 74), in 31 pages.
Scott, M.S., et al., P.F.C. Sigma Knee System, Primary Surgical Technique Part 2 of 2, DePuy International Ltd., 2003, England, Part B (up to p. 104), in 31 pages.
Sikorski et al., “Computer-Assisted Orthopaedic Surgery: Do We Need CAOS?”, The Journal of Bone & Joint Surgery (Br), Apr. 2003, vol. 85-B, No. 3, pp. 319-323.
Slomczykowski, et al., “Novel Computer-Assisted Fluoroscopy System for Intraoperative Guidance: Feasibility Study for Distal Locking of Femoral Nails”, Journal of Orthopaedic Trauma, 2001, vol. 15, No. 2, pp. 122-131, Lippincott Williams & Wilkins, Inc., Philadelphia.
Stulberg, et al., Computer-Assisted Total Knee Replacement Arthroplasty, Operative Techniques in Orthopaedics, Jan. 2000, vol. 10, Issue 1, pp. 25-39.
The Academy of Orthopaedic Surgeons, Academy News, http://www.aaos.org/wordhtml/2001news/b6-01.htm, Mar. 1, 2001, pp. 1 page.
Tilt Sensors: High Accuracy, Digital Series, Crossbow Technology, Inc., pp. 32-35.
Upadhyay et al., “Medical Malpractice in Hip and Knee Arthroplasty”, The Journal of Arthroplasty, 2007, vol. 22, No. 6, Suppl. 2, pp. 2-7.
Visser, et al., 3D Analysis of Upper Body Movements in Bilateral Amputee Gait Using Inertial Sensors, Journal of Biomechanics, Jan. 1, 2007, vol. 40, Issue S509.
Written Opinion for International Application No. PCT/US2009/051769, dated Nov. 19, 2009, in 7 pages.
Written Opinion for International Application No. PCT/US2011/022162, dated Jun. 16, 2011, in 9 pages.
Written Opinion of the ISR for Application No. PCT/US2004/018244, received Mar. 14, 2005, in 10 pages.
Wylde et al., “Prevalence and functional impact of patient-perceived leg length discrepancy after hip replacement”, International Orthopaedics, 2009, vol. 33, pp. 905-909.
Wylde et al., “Patient-perceived leg length discrepancy after total hip replacement: prevalence and impact on functional outcome”, International Orthopaedics, 2008, vol. 24, No. 2, pp. 210-216.
Zhou, et al., Use of Multiple Wearable Inertial Sensors in Upper Limb Motion Tracking, Medical Engineering & Physics, Jan. 1, 2008, vol. 30, pp. 123-133.
Zimmer NexGen Flexion Balancing Instruments, Surgical Technique, 2007, www.zimmer.com, in 44 pages.
Zorman, David, et al., “Computer-assisted total knee arthroplasty: comparative results in a preliminary series of 72 cases”, ActaOrthop. Belg., 2005, 71, pp. 696-702.
Brainlab, “Position Determination and Calibration in optical tracking systems”, Florenus the technology merchants, in 2 pages.
Brainlab, “Tracking and imaging in Navigation”, Florenus, in 2 pages.
De Momi, et al., “In-vitro experimental assessment of a new robust algorithm for hip joint centre estimation”, Journal of Biomechanics, Feb. 26, 2009, vol. 42, pp. 989-995.
International Search Report and Written Opinion issued in International Application No. PCT/US2016/018508, dated Jun. 22, 2016, in 19 pages.
Perseus Intelligent Cutting Guide, Orthokey, Product Guide, in 8 pages.
Perseus Intelligent Cutting Guide, Smart Instruments for Knee Arthroplasty, Orthokey, in 2 pages.
Related Publications (1)
Number Date Country
20150127009 A1 May 2015 US
Provisional Applications (1)
Number Date Country
61648762 May 2012 US