The field of the invention generally relates to orthopedic implants, including spinal implants, and methods for designing and producing them.
Orthopedic implants are used to correct a variety of different maladies. Orthopedic surgery utilizing orthopedic implants may include one of several specialties, including: hand surgery, shoulder and elbow surgery, total joint reconstruction (arthroplasty), skull reconstruction, maxillofacial reconstruction, pediatric orthopedics, foot and ankle surgery, spine surgery, musculoskeletal oncology, surgical sports medicine, and orthopedic trauma. Spine surgery may encompass one or more of the cervical, thoracic, lumbar spine, sacrum, pelvis, or ilium, and may treat a deformity or degeneration of the spine, or related back pain, leg pain, or other body pain. Irregular spinal curvature may include scoliosis, lordosis, or kyphosis (hyper- or hypo-). Irregular spinal displacement may include spondylolisthesis. Other spinal disorders include osteoarthritis, lumbar degenerative disc disease or cervical degenerative disc disease, lumbar spinal stenosis or cervical spinal stenosis.
Spinal fusion surgery may be performed to set and hold purposeful changes imparted on the spine. Spinal surgeries typically include hardware or implants to help fix the relationship between anatomical structures such as vertebral bodies and nerves. In many instances, fixation devices or implants are affixed to bony anatomy to provide support during healing. These implants are often made of polymers or metals (including titanium, titanium alloy, stainless steel, cobalt chrome, or other alloys). These fixation implants can be described as anchors, screws, nuts, bolts, rivets, rods, connectors, tethers, or other fasteners. Each implant may be designed to mate with the anatomy or other implants in order to provide a construct to allow relief of symptoms and encourage biologic healing.
Spinal surgeons are often relied upon to treat patients with spinal deformities, such as scoliosis. These surgical treatments may require re-alignment of spinal anatomy and preservation of the re-alignment in order to relieve symptoms. Surgeons manipulate the spine using instruments and implants that mate with bony anatomy. Adjustment of the instruments and implants connected to the bony anatomy can produce the desired alignment of the spinal anatomy. When the alignment of the spinal anatomy is achieved intra-operatively, the preservation of that alignment is required in order to provide post-operative relief of symptoms. Fixation implants can be used to provide a construct to maintain the correction achieved by the surgeon while bony fusion occurs.
Additionally, spinal fusion procedures include PLIF (posterior lumbar interbody fusion), ALIF (anterior lumbar interbody fusion), TLIF (transverse or transforaminal lumbar interbody fusion), or LLIF (lateral lumbar interbody fusion), including DLIF (direct lateral lumbar interbody fusion) or XLIF (extreme lateral lumbar interbody fusion). One goal of interbody fusion is to grow bone between vertebrae in order to seize (e.g., lock) the spacial relationships in a position that provides enough room for neural elements, including exiting nerve roots. An interbody implant (interbody device, interbody implant, interbody cage, fusion cage, or spine cage) is a prosthesis used between vertebral bodies in spinal fusion procedures to maintain relative position of the vertebrae and establish appropriate foraminal height and decompression of exiting nerves.
Each patient may have individual or unique disease characteristics, but most device solutions include implants (e.g. rods, screws, interbody implants) having standard sizes or shapes.
In one embodiment of the present disclosure, a personalized fixation system includes a surgical planning software tool configured to adjust relationships of relevant anatomy of a subject, at least one bone anchor, a plate having a shape that does not conform to a single plane, the plate configured to accept the at least one bone anchor, wherein the shape of the plate is at least partially determined by the surgical planning software tool, and wherein the plate includes at least one node having a hole configured to receive the at least one bone anchor, and a locking element configured to connect the at least one bone anchor to the plate, wherein the plate is manufactured using additive manufacturing.
In another embodiment of the present disclosure, a personalized fixation system includes a surgical planning software tool configured to adjust relationships of relevant anatomy of a subject, at least one bone anchor, a plate having a shape that does not conform to a single plane, the plate configured to accept the at least one bone anchor, wherein the shape of the plate is at least partially determined by the surgical planning software tool, and wherein the plate includes at least one node having a hole configured to receive the at least one bone anchor, and a locking element configured to connect the at least one bone anchor to the plate, wherein the plate is manufactured using subtractive manufacturing.
In yet another embodiment of the present disclosure, a method for manufacturing a fixation system includes capturing anatomy using digital imaging software, segmenting relevant anatomy of a subject from irrelevant anatomy using the imaging software, correcting the anatomy in virtual space using surgical planning software, designing implants using software, and building implants using additive manufacturing.
In still another embodiment of the present disclosure, a system for designing an implant system includes a computational system configured to perform anatomical adjustments, an algorithm for determining position of bony structures, an algorithm for determining configuration of the implant system, an algorithm for determining sizes, densities, construction, and shape of an implant, an algorithm for determining shape and location of nodes, holes, longitudinal elements, locking elements, and construction of a posterior plate, an algorithm for determining length, width, diameter, density, and construction of bone anchors, an algorithm for determining the start-point and trajectory for delivery of bone anchors, and an additive manufacturing technique configured to build implants of the implant system.
In yet another embodiment of the present disclosure, a system for designing an implant system includes a computational system to perform virtual surgery of a subject, an algorithm for determining position of bony structures of the subject, an algorithm for determining shape, composition, and position of implants, and an additive manufacturing technique to build the implants.
In still another embodiment of the present disclosure, a system for designing a fixation system includes a computational system to perform virtual surgery of a subject, an algorithm for determining optimal position of bony structures in the subject, an algorithm for determining optimal shape of the fixation system including location of nodes, bone anchors, longitudinal elements, and locking elements, an algorithm for determining optimal bone anchor length, width, start-point, and trajectory, an algorithm for determining optimal number, position, shape, density, and internal structure of implants of the fixation system, and an additive manufacturing technique to build the implants.
In yet another embodiment of the present disclosure, a method for manufacturing a personalized fixation system includes providing a surgical planning software tool configured to adjust relationships of relevant anatomy of a subject, capturing anatomy and anatomic relationships using digital imaging software, segmenting relevant anatomy from irrelevant anatomy, correcting the relevant anatomy in virtual space, designing one or more of node locations, node shapes, hole locations, hole angles, hole sizes, hole shapes, longitudinal element shape, longitudinal element thickness, and longitudinal element density of a fixation plate, and manufacturing the fixation plate using additive manufacturing techniques.
Posterior fixation constructs, comprised of implants including screws, rods, plates, rivets, nuts, bolts, set screws, connectors, etc., can be used to provide fixation for spinal anatomy during corrective techniques. Spine surgeons often perform spine surgery to relieve symptoms associated with degenerative disc disease, spinal deformity, scoliosis, or trauma, among other reasons. In spinal surgery, surgeons attempt to correct deformities, align vertebral bodies, and/or decompress the spinal cord and nerves.
Present posterior fixation device constructs are typically comprised of bone anchors (alternatively, polyaxial bone screws or pedicle screws), circular cross-section rods, and connectors. The variable position of the heads of the polyaxial screws allow for a range of special relationships between the rod and bone screws while still allowing connection between each other. There are several current issues with posterior fixation constructs including the inability to seat the rod within each of polyaxial screw bodies. In these instances, reduction techniques and instruments are used to forcibly deliver the rod the polyaxial head. As reduction force is delivered to the construct, the relationship between polyaxial screws and connected vertebral bodies becomes unpredictable. In some instances, the force delivered to the construct during surgery can cause problems, including bone screw dislodgment from the vertebral body (screw pullout) or implant fractures.
Typically, the surgeon must deliver anchors (e.g., pedicle screws, other bone screws, clips, etc.) to the vertebral bodies. Surgeons must determine a start-point, trajectory, and anchor length and anchor diameter intraoperatively. The surgeon exposes the bone in order to identify an appropriate anatomical start-point and trajectory for the pedicle screw. Using fluoroscopy, the surgeon delivers the anchor to the bone, taking care not to breach the pedicle or vertebral body. This technique exposes the patient, surgeon, and operating room staff to unnecessary radiation. In some instances, delivery of the pedicle screw results in a breach of the cortex and impingement of the nerves by the bone screw. Surgical planning (using radiographic images taken prior to surgery to determine the bone screw's start-point, trajectory, length, and shank diameter) can be used to reduce or eliminate intra-operative radiation associated with fluoroscopy. Prior to implantation the anatomy can be virtually corrected using planning software.
In deformity and degenerative surgeries, correction of malpositioned anatomy is desired. In some cases, only a partial correction is possible, but is worth achieving. In other cases, full correction is possible. One area of frustration for surgeons during delivery of a posterior fixation construct is bending the longitudinal elements (rods) and delivering and securing them to the fixation anchors (bone screws). In the present state, surgeons approximate the desired shape of the rod based on an estimate of the correction to be delivered to the patient. There is no tool or method to determine the optimal degree of correction required and the amount and degree of curvature or bends that need to be placed upon the rod. The rod bending and implantation often occurs at the end of the surgery, following the delivery of the bone screws and the associated receivers of the rod (screw head, etc.). Because this activity occurs at the end of the surgery, the surgeon may be fatigued, stressed, rushed, or otherwise operating with sub-optimal attention or energy. This critical portion of the procedure is what ultimately determines the relationship between vertebral bodies, the decompression of neural elements, and ultimate alignment of anatomy.
One objective of spine surgery is correction of a spinal deformity or re-alignment of vertebral bodies. Current practices require the surgeon to use intra-operative imaging and manipulation of implants that are fixed to the anatomy to adjust relationships between vertebral bodies to correct malalignment. The imaging tools available to the surgeon intraoperatively use radiation to assess relative position of the interested anatomy. It would be beneficial to have a tool and method to plan the surgery and determine (1) the position of implants within anatomy, (2) position of implants relative to other implants, and (3) position of vertebral bodies relative to other vertebral bodies.
These tools and methods disclosed allow the surgeon to perform a virtual surgery on a computer, tablet, smart phone, or other smart device. By planning the surgery prior to the operation, the surgeon can determine the proper three-dimensional alignment before the patient is surgically opened and/or in place on the operating room table. Pre-planning can eliminate some of the intraoperative decision making that takes valuable time while the patient is under sedation or anesthesia, and while the patient is exposed to infection in the operating room, for example with one or more open surgical incisions. Additionally, surgical planning tools and methods can help determine the proper implant selection, including but not limited to the style of implant, the model of implant, the material(s) of the implant, the quantities of implants, or the size parameters (length, width, depth, diameter, etc.) of the implant.
The systems and methods described herein may be utilized to correct other physiological ailments requiring patient-specific implants. For example, wedge-shaped implants for maintaining wedge osteotomies in the spine, or other orthopedic areas such as the hip, jaw, chin or knee for arthritic or non-arthritic conditions, may be designed with the teachings of the present disclosure. Particular procedures include: high tibial osteotomy (tibia), distal femoral osteotomy (femur), Evans wedge or Cotton wedge (foot and ankle).
In one embodiment, the features are a hole 53 that allows for receiving of a bone screw. Holes 53 may be oriented orthogonal to a top or bottom surface. Alternatively, hole axis 62 may be oriented at an angle relative to a top or bottom surface (e.g., oriented at a non-orthogonal angle). Top surface 61 and/or bottom surface 63 may be curved or described by a radius 60. Top surface 61 is shown in
Additive manufacturing techniques such as laser sintering or electronic beam fusion can be used to build complex non-planar plates 50 with features to provide for anatomic seating or mechanical performance. Internal geometry particular to additive manufacturing, such as lattice, struts, or weaves may be used to create the preferred embodiment. Additive manufacturing techniques may include, but are not limited to: three-dimensional printing, stereolithography (SLA), selective laser melting (SLM), powder bed printing (PP), selective laser sintering (SLS), selective heat sintering (SHM), fused deposition modeling (FDM), direct metal laser sintering (DMLS), laminated object manufacturing (LOM), thermoplastic printing, direct material deposition (DMD), digital light processing (DLP), inkjet photo resin machining, and electron beam melting (EBM). Additive manufacturing techniques may be used in some embodiments to create a particular matrix of material/void patterns or a particular series of internal support structures of the material, thus controlling stiffness or flexibility, or the proclivity for the implant to ben in one direction more than another (e.g., more flexible along an X-Y plane than along an X-Z planet, etc.
Locking element 113 is configured to secure bone screw 100, 102, 104 to plate 50. Longitudinal element 54 can be configured to (1) avoid anatomy (e.g., have a particular shape), (2) engage anatomy (e.g., grasp a particular landmark or feature, including a process or lamina) (3) have a desired mechanical performance (e.g., have particular dimensions or shape), or (4) provide a biological response (e.g., have a particular surface configuration or a particular coating). In one embodiment, locking element 113 can be configured to provide limited relative movement between bone screw 100, 102, 104 to encourage fusion or avoid causing or worsening adjacent segment disease (proximal junctional kyphosis). In one embodiment, locking element 113 acts to expand a spherical feature on the proximal end of bone anchor 100, 102, 104. In one embodiment, locking element 113 and longitudinal element 54 can be configured to have mating features that constrict or control relative motion between components. Mating features can include teeth, grooves, bosses, reliefs, and surface finishes to allow for interdigitation and mechanical engagement between components.
Bone anchor 104 has a proximal head 110 that may have slits 122 to allow expansion (e.g., radial expansion) of proximal head 110. As tapered plug 123 is delivered to head 110, for example, by rotational threading, it causes expansion of head 110. Internal threads 118, 120 can be used to engage and retain plug 123 that is delivered to the head after final seating within plate 50.
Plate 50, anchor 100, 102, 104, and locking element 150 and features thereof can be manufactured of materials typical of medical implants, including, but not limited to, titanium, titanium alloy, Ti6Al4V, stainless steel, cobalt chrome, polymers, polyether ether ketone (PEEK), etc. Anchors 100, 102, 104 may alternatively be constructed of rivets, bolts, or other fasteners.
A computer may be used for processing and manipulation of this data. For example, the user interface associated with least one computer memory that is not a transitory signal and comprises instructions executable by at least one processor may be utilized to select a region of interest. A system containing the memory may include any number of custom stand-alone devices, or any mobile device, such as an iPhone, smart phone, ipad, tablet, laptop, desktop, or mainframe computer. The system may also be configured to access the memory remotely, for example, via internet browser access or other wireless means. The three-dimensional image can be converted into a form such that is can be manipulated by a user to measure anatomical deformities related to the disease (e.g., spine disease). The information can then be used by a medical professional or technical professional in conjunction or collaboration with a medical professional, to design (reconfigure) the optimized geometry of the corrected spine, thus allowing the design of an implant to treat the particular disease or malady.
In step 208 the computer memory is utilized to apply one or more predictive correction guidelines to the spine or to the selected portion of the spine, or at least a section thereof. A number of predictive correction guidelines may be utilized, but in one embodiment a set of three predictive guidelines are applied, relating to pelvic tilt, sagittal alignment, and lumbar lordosis. The predictive guideline regarding pelvic tilt is can be the equation wherein the pelvic tilt less than 20 degrees. The predictive guideline regarding sagittal vertebral axis (SVA) can be defined by the equation wherein the C7 sagittal vertical axis is not more than 5 cm from the most posterior portion of the superior sacral endplate. The predictive guideline regarding lumbar lordosis 114 is defined by the equation wherein an absolute value of the difference between pelvic incidence and lumbar lordosis less than 10 degrees. Predictive guidelines may be used as described in “Current Surgical Strategies to Restore Proper Sagittal Alignment” by Luiz Pimenta, Journal of Spine, 2015, Volume 4, Number 4, (2 pages), which is incorporated herein by reference in its entirety for all purposes.
In decision point 210, the computer memory is utilized to determine whether, in the current state of the spine provided by the three-dimensional image, the predictive guidelines from step 208 are achieved. If one or more of the predictive guidelines from step 208 are not true for the spine segments selected, then a user may utilize a user interface to adjust the virtual anatomy into a preferred alignment, as shown in step 212. For example, if the pelvic tilt is determined to be 20° or greater, a user may input or toggle an adjustment that changes the amount of correction in order to achieve a pelvic tilt less than 20°. If it is determined that the predictive guidelines are all achieved (whether user adjustment was or was not required), the system generates three-dimensional implant(s) geometry in step 214. The three-dimensional implant(s) geometry may in some cases define a single interbody device, several interbody devices, or posterior fixation plate 50 geometry (including node 52, hole 53, and longitudinal element 54 geometries). In some cases, the three-dimensional geometry may define one or more interbody devices for a single level of the spine, or in other cases may define one or more interbody devices from two or more levels of the spine. In one embodiment, the data creates a point cloud map, which is then converted to multiple interconnected triangles to create a surface mesh. Based on known density discrepancies between bone and tissue, the three-dimensional mesh surface is parsed for bone surface data and converted to a three-dimensional volume. The converted data is saved into memory with a readable file format, such as . STL, .OBJ, or other CAD (computer-aided design) readable file format. In this CAD readable file format, the individual spine vertebral bodies can be isolated and manipulated in the axial, coronal, and sagittal planes.
After the three-dimensional geometry is generated, the system checks in decision point 216 whether the particular correction is within cleared parameters. For example, within a particular amount of correction that is approved under a regulatory clearance; or, within a particular amount of correction that is approved under an IRB-controlled or FDA-controlled clinical trial. Additional to, or instead of, the amount of correction, other parameters may determine whether the three-dimensional geometry performs within cleared parameters in decision point 216. For example, the thickness of longitudinal element 54 or node 52 may be controlled and many not fall below a threshold or the dimensions and density of an interbody device may not exceed a predetermined value. If the correction (or other parameters) is not within the cleared range(s), user-initiated input may be performed, as in step 212. In some embodiments, the system may suggest the amount to adjust each parameter of spine alignment, allowing the user to accept this suggestion, or to choose a different value of change. In some cases, step 212 may not be necessary, for example, when certain procedures do not have implant-based regulatory limitations. A particular manner of validating a cleared amount of correction, is to check the three-dimensional envelope of the spine implant at both the maximum material condition and the least material condition. For example, an FDA clearance may take into account both of these conditions, in one or more patient indications.
Once the three-dimensional geometry is accepted by the user, and, if applicable, by the limitations of step 216, the implant(s) may be manufactured. The patient prescription containing volumes of implant(s) may comprise one or more three-dimensional files that are used in additive manufacturing, including, but not limited to: .AMF, .X3D, Collada (Collaborative Design Activity), .STL, .STP, .STEP, or .OBJ. The patient prescription may alternatively comprise one or more three dimensional files, including, but not limited to: .IGS, .STP, .STEP, .3ds, .blend, .dae, .ipt, ,skp, .fbx, .lwo, .off, .ply., .sldprt, .sldasm, and .X_T. In some cases, the patient prescription may also include one or more two-dimensional files, for example, to map or guide the surgical treatment, or to stage the utilization of each implant. The two-dimensional files may include, but are not limited to: .dwg, .dwf, .dxf, .pdf, or .acis.
The step 218 may include using the three-dimensional files to manufacture the implant(s) using one or more additive manufacturing or subtractive (traditional) manufacturing methods. Additive manufacturing methods include, but are not limited to: three-dimensional printing, stereolithography (SLA), selective laser melting (SLM), powder bed printing (PP), selective laser sintering (SLS), selective heat sintering (SHM), fused deposition modeling (FDM), direct metal laser sintering (DMLS), laminated object manufacturing (LOM), thermoplastic printing, direct material deposition (DMD), digital light processing (DLP), inkjet photo resin machining, and electron beam melting (EBM). Subtractive (traditional) manufacturing methods include, but are not limited to: CNC machining, EDM (electrical discharge machining), grinding, laser cutting, water jet machining, and manual machining (milling, lathe/turning). The additive (or subtractive) manufacturing may be used to construct the plate 50, or the anchors 100, 102, 104, or the locking elements 150.
Following the manufacture of the implant, a bone-friendly scaffold is created for fusion to one or more vertebrae. The implant may comprise one or more of the following materials: titanium, titanium alloy, titanium-6AL-4V, tantalum, and PEEK (polyether ether ketone). The implant may also comprise/be coated with a biologic material. Examples of potential biological materials may include, but are not limited to, hydroxylapetite (hydroxyapetite), recombinant human bone morphogenic proteins (rhBMP-2, rhBMP-7), bioactive glass, beta tri-calcium phosphate, human allograft (cortical and/or cancellous bone), xenograft, other allograft, platelet rich plasma (PRP), stem cells, and other biomaterials. In addition, synthetic ceramics having osteogenic properties may be utilized.
The manufacture of the implant may be further guided by patient information, including patient age, patient weight, BMI, activity level, DEXA score, bone density, or prior patient surgical history. For example, a patient with a high BMI (body mass index) can require a stiffer or stronger implant. The lattice structure forming the implant can be optimized to meet the patient's biomechanical needs for stability. Additionally, a patient with a low BMI and/or with osteoporotic bone or osteopenia (low DEXA score) can benefit from an implant having lower stiffness, thus helping to reduce the risk of poor performance. Furthermore, a patient having a previously failed fusion may be at risk for adjacent level disc disease and/or proximal joint kyphosis. An implant can be tailored to alleviate this particular situation.
The implant is packaged and sterilized in step 220. The implant is shipped in sterile form to the surgical site (operating room of a hospital or surgery center) in step 222. In some embodiments, step 220 may be performed at the site of surgery, thus making step 222 unnecessary. The implant is implanted within a patient in step 224.
The method 200 may be used to simulate and construct any portion or characteristic of the plate 50, including node locations, hole locations, hole angles, longitudinal segment shape, longitudinal segment thickness, or longitudinal segment density. The method 200 may utilize any of the steps and techniques disclosed in co-pending U.S. patent application Ser. No. 16/207,116, filed on Dec. 1, 2018, and entitled “Systems and Methods for Multi-Planar Orthopedic Alignment,” which is incorporated by reference in its entirety for all purposes.
The ranges disclosed herein also encompass any and all overlap, sub-ranges, and combinations thereof. Language such as “up to,” “at least,” “greater than,” “less than,” “between,” and the like includes the number recited. Numbers preceded by a term such as “approximately”, “about”, and “substantially” as used herein include the recited numbers (e.g., about 10%=10%), and also represent an amount close to the stated amount that still performs a desired function or achieves a desired result. For example, the terms “approximately”, “about”, and “substantially” may refer to an amount that is within less than 10% of, within less than 5% of, within less than 1% of, within less than 0.1% of, and within less than 0.01% of the stated amount.
While embodiments have been shown and described, various modifications may be made without departing from the scope of the inventive concepts disclosed herein.
This application claims the benefit of priority to U.S. Provisional Patent Application No. 62/658,389, filed on Apr. 16, 2018, which is herein incorporated by reference in its entirety for all purposes. Priority is claimed pursuant to 35 U.S.C. § 119.
Number | Name | Date | Kind |
---|---|---|---|
4704686 | Aldinger | Nov 1987 | A |
4936862 | Walker et al. | Jun 1990 | A |
5431562 | Andreiko et al. | Jul 1995 | A |
6696073 | Boyce et al. | Feb 2004 | B2 |
6772026 | Bradbury | Aug 2004 | B2 |
6932842 | Litschko et al. | Aug 2005 | B1 |
6978188 | Christensen | Dec 2005 | B1 |
6988241 | Guttman | Jan 2006 | B1 |
7174282 | Hollister et al. | Feb 2007 | B2 |
7187790 | Sabol et al. | Mar 2007 | B2 |
D548242 | Viegers | Aug 2007 | S |
7747305 | Dean et al. | Jun 2010 | B2 |
7756314 | Karau et al. | Jul 2010 | B2 |
7799077 | Lang | Sep 2010 | B2 |
8246680 | Betz | Aug 2012 | B2 |
8265949 | Haddad | Sep 2012 | B2 |
8275594 | Lin | Sep 2012 | B2 |
8337507 | Lang | Dec 2012 | B2 |
8394142 | Bertagnoli | Mar 2013 | B2 |
8457930 | Shroeder | Jun 2013 | B2 |
8532806 | Masson | Sep 2013 | B1 |
8556983 | Bojarski et al. | Oct 2013 | B2 |
8644568 | Hoffman | Feb 2014 | B1 |
8735773 | Lang | May 2014 | B2 |
8758357 | Frey | Jun 2014 | B2 |
8775133 | Schroeder | Jul 2014 | B2 |
8781557 | Dean | Jul 2014 | B2 |
8843229 | Vanasse | Sep 2014 | B2 |
8855389 | Hoffman | Oct 2014 | B1 |
8870889 | Frey | Oct 2014 | B2 |
9020788 | Lang | Apr 2015 | B2 |
9198678 | Frey et al. | Dec 2015 | B2 |
9208558 | Dean | Dec 2015 | B2 |
D761842 | Johnson | Jul 2016 | S |
9411939 | Furrer | Aug 2016 | B2 |
9445907 | Meridew | Sep 2016 | B2 |
9452050 | Miles et al. | Sep 2016 | B2 |
9542525 | Arisoy et al. | Jan 2017 | B2 |
9642633 | Frey et al. | May 2017 | B2 |
9693831 | Mosnier et al. | Jul 2017 | B2 |
9707058 | Bassett | Jul 2017 | B2 |
9715563 | Schroeder | Jul 2017 | B1 |
9757245 | O'Neil et al. | Sep 2017 | B2 |
9775680 | Bojarski et al. | Oct 2017 | B2 |
9782228 | Mosnier et al. | Oct 2017 | B2 |
9993341 | Vanasse | Jun 2018 | B2 |
10034676 | Donner | Jul 2018 | B2 |
10089413 | Wirx-Speetjens et al. | Oct 2018 | B2 |
D841675 | Hoffman | Feb 2019 | S |
10213311 | Mafhouz | Feb 2019 | B2 |
D845973 | Jaycobs | Apr 2019 | S |
D845974 | Cooperman | Apr 2019 | S |
D847165 | Kolbenheyer | Apr 2019 | S |
D848468 | Ng | May 2019 | S |
D849029 | Cooperman | May 2019 | S |
D849773 | Jiang | May 2019 | S |
10292770 | Ryan | May 2019 | B2 |
10299863 | Grbic et al. | May 2019 | B2 |
10390958 | Maclennan | Aug 2019 | B2 |
D860237 | Li | Sep 2019 | S |
D860238 | Bhardwaj | Sep 2019 | S |
D867379 | Ang | Nov 2019 | S |
D867389 | Jamison | Nov 2019 | S |
10463433 | Turner et al. | Nov 2019 | B2 |
D870762 | Mendoza | Dec 2019 | S |
10512546 | Kamer et al. | Dec 2019 | B2 |
10517681 | Roh et al. | Dec 2019 | B2 |
D872117 | Kobayashi | Jan 2020 | S |
D872756 | Howell | Jan 2020 | S |
D874490 | Dodsworth | Feb 2020 | S |
D875761 | Heffernan | Feb 2020 | S |
D876454 | Knowles | Feb 2020 | S |
D877167 | Knowles | Mar 2020 | S |
D879112 | Hejazi | Mar 2020 | S |
10588589 | Bregman-Amitai et al. | Mar 2020 | B2 |
10603055 | Donner et al. | Mar 2020 | B2 |
D880513 | Wang | Apr 2020 | S |
D881908 | Sunil | Apr 2020 | S |
D881910 | Lin | Apr 2020 | S |
10621289 | Schroeder | Apr 2020 | B2 |
10631988 | Arnold et al. | Apr 2020 | B2 |
10646236 | Donner et al. | May 2020 | B2 |
10646258 | Donner et al. | May 2020 | B2 |
10736698 | Bohl | Aug 2020 | B2 |
10751188 | Guo et al. | Aug 2020 | B2 |
10806597 | Sournac et al. | Oct 2020 | B2 |
10902944 | Casey et al. | Jan 2021 | B1 |
11000334 | Young | May 2021 | B1 |
20020007294 | Bradbury et al. | Jan 2002 | A1 |
20040171924 | Mire et al. | Sep 2004 | A1 |
20050049590 | Alleyne et al. | Mar 2005 | A1 |
20050271996 | Sporbert et al. | Dec 2005 | A1 |
20060009780 | Foley | Jan 2006 | A1 |
20070118243 | Schroeder | May 2007 | A1 |
20070276501 | Betz | Nov 2007 | A1 |
20080161680 | von Jako | Jul 2008 | A1 |
20080195240 | Martin | Aug 2008 | A1 |
20100191088 | Anderson | Jul 2010 | A1 |
20100292963 | Schroeder | Nov 2010 | A1 |
20110218545 | Catanzarite et al. | Sep 2011 | A1 |
20110301710 | Mather et al. | Dec 2011 | A1 |
20120010710 | Frigg | Jan 2012 | A1 |
20120084064 | Dzenis et al. | Apr 2012 | A1 |
20120116203 | Vancraen | May 2012 | A1 |
20120150243 | Crawford | Jun 2012 | A9 |
20120191192 | Park | Jul 2012 | A1 |
20120287238 | Onishi | Nov 2012 | A1 |
20120296433 | Farin | Nov 2012 | A1 |
20130211531 | Steines et al. | Aug 2013 | A1 |
20140072608 | Karagkiozaki | Mar 2014 | A1 |
20140074438 | Furrer | Mar 2014 | A1 |
20140081659 | Nawana et al. | Mar 2014 | A1 |
20140086780 | Miller | Mar 2014 | A1 |
20140164022 | Reed | Jun 2014 | A1 |
20140263674 | Cerveny | Sep 2014 | A1 |
20140350614 | Frey | Nov 2014 | A1 |
20150105891 | Golway et al. | Apr 2015 | A1 |
20150324490 | Page | Nov 2015 | A1 |
20150328004 | Mafhouz | Nov 2015 | A1 |
20160015465 | Steines et al. | Jan 2016 | A1 |
20160074048 | Pavlovskaia | Mar 2016 | A1 |
20160117817 | Seel | Apr 2016 | A1 |
20160143744 | Bojarski et al. | May 2016 | A1 |
20160210374 | Mosnier et al. | Jul 2016 | A1 |
20160217268 | Otto | Jul 2016 | A1 |
20160242857 | Scholl | Aug 2016 | A1 |
20160300026 | Bogoni et al. | Oct 2016 | A1 |
20160354039 | Soto et al. | Dec 2016 | A1 |
20160378919 | McNutt et al. | Dec 2016 | A1 |
20170000566 | Gordon | Jan 2017 | A1 |
20170014169 | Dean | Jan 2017 | A1 |
20170020679 | Maclennan | Jan 2017 | A1 |
20170035514 | Fox et al. | Feb 2017 | A1 |
20170061375 | Laster | Mar 2017 | A1 |
20170068792 | Reiner | Mar 2017 | A1 |
20170135706 | Frey et al. | May 2017 | A1 |
20170143494 | Mahfouz | May 2017 | A1 |
20170143831 | Varanasi et al. | May 2017 | A1 |
20170216047 | Hawkes et al. | Aug 2017 | A1 |
20170220740 | D'Urso | Aug 2017 | A1 |
20170252107 | Turner et al. | Sep 2017 | A1 |
20170262595 | Vorhis | Sep 2017 | A1 |
20170354510 | O'Neil et al. | Dec 2017 | A1 |
20170367645 | Klinder | Dec 2017 | A1 |
20180008349 | Gillman | Jan 2018 | A1 |
20180116727 | Caldwell | May 2018 | A1 |
20180168499 | Bergold | Jun 2018 | A1 |
20180168731 | Reid | Jun 2018 | A1 |
20180185075 | She | Jul 2018 | A1 |
20180233222 | Daley | Aug 2018 | A1 |
20180233225 | Experton | Aug 2018 | A1 |
20180250075 | Cho | Sep 2018 | A1 |
20180303552 | Ryan | Oct 2018 | A1 |
20180303616 | Bhattacharyya et al. | Oct 2018 | A1 |
20180338841 | Miller et al. | Nov 2018 | A1 |
20190029757 | Roh et al. | Jan 2019 | A1 |
20190146458 | Roh et al. | May 2019 | A1 |
20190167435 | Cordonnier | Jun 2019 | A1 |
20190201106 | Siemionow | Jul 2019 | A1 |
20190262084 | Roh et al. | Aug 2019 | A1 |
20190282367 | Casey et al. | Sep 2019 | A1 |
20190328929 | Kugler et al. | Oct 2019 | A1 |
20190380782 | McAfee | Dec 2019 | A1 |
20190380792 | Poltaretskyi et al. | Dec 2019 | A1 |
20200078180 | Casey et al. | Mar 2020 | A1 |
20200085509 | Roh et al. | Mar 2020 | A1 |
20200138519 | Frey | May 2020 | A1 |
20200170802 | Casey et al. | Jun 2020 | A1 |
20200289288 | Müller et al. | Sep 2020 | A1 |
20200311318 | Suddaby | Oct 2020 | A1 |
20200315708 | Mosnier et al. | Oct 2020 | A1 |
20200345420 | Hobeika | Nov 2020 | A1 |
20210059822 | Casey et al. | Mar 2021 | A1 |
20210210189 | Casey et al. | Jul 2021 | A1 |
20210244447 | Schroeder | Aug 2021 | A1 |
20210382457 | Roh et al. | Dec 2021 | A1 |
20220000556 | Casey et al. | Jan 2022 | A1 |
20220000625 | Cordonnier | Jan 2022 | A1 |
20220039965 | Casey et al. | Feb 2022 | A1 |
20220047402 | Casey et al. | Feb 2022 | A1 |
Number | Date | Country |
---|---|---|
104318009 | Jan 2015 | CN |
104353121 | Feb 2015 | CN |
204468348 | Jul 2015 | CN |
105796214 | Jul 2016 | CN |
108670506 | Oct 2018 | CN |
110575289 | Dec 2019 | CN |
111281613 | Jun 2020 | CN |
112155792 | Jan 2021 | CN |
3120796 | Jan 2017 | EP |
2004110309 | Dec 2004 | WO |
2010151564 | Dec 2010 | WO |
2014180972 | Nov 2014 | WO |
2016172694 | Oct 2016 | WO |
2019112917 | Jun 2019 | WO |
2019148154 | Aug 2019 | WO |
Entry |
---|
Endo, Kenji et al. “Measurement of whole spine sagittal alignment using the SLOT radiography of the SonialVision safire series clinical application.” Medical Now, No. 78; Aug. 2015, 4 pages. |
International Searching Authority, International Search Report and Written Opinion, PCT Patent Application PCT/US2018/063530, dated Feb. 12, 2019, 16 pages. |
Materialise Mimics, “Efficiently turn scans into accurate virtual 3D models,” <www.materialize.com/en/medical/software/mimics>, 1 page. |
Pimenta, Dr. Luiz, “Current Surgical Strategies to Restore Proper Sagittal Alignment,” Journal of Spine 2015, vol. 4, Issue 4, 2 pages. |
International Search Report and Written Opinion for International Application No. PCT/US19/50885, dated Jan. 28, 2020 (21 pages). |
International Search Report and Written Opinion for International Application No. PCT/US19/63855, dated Feb. 14, 2020 (15 pages). |
U.S. Appl. No. 15/985,409 for Ryan, filed Apr. 21, 2017. |
Extended European Search Report for European Application No. 18885367.5, dated Aug. 16, 2021, 8 pages. |
International Search Report and Written Opinion for International Application No. PCT/US21/44878, dated Nov. 16, 2021, 18 pages. |
International Search Report and Written Opinion for International Application No. PCT/US21/45503, dated Jan. 11, 2022, 19 pages. |
International Search Report and Written Opinion for International Patent Application No. PCT/US21/12065, dated Apr. 29, 2021, 19 pages. |
International Search Report and Written Opinion for International Patent Application No. PCT/US21/59837, dated Feb. 7, 2022, 19 pages. |
Majdouline et al., “Preoperative assessment and evaluation of instrumentation strategies for the treatment of adolescent idiopathic scoliosis: computer simulation and optimization.” Scoliosis 7, 21 (2012), pp. 1-8. |
Number | Date | Country | |
---|---|---|---|
20190321193 A1 | Oct 2019 | US |
Number | Date | Country | |
---|---|---|---|
62658389 | Apr 2018 | US |