Method and system for assisting implant placement in thin bones such as scapula

Information

  • Patent Grant
  • 10016241
  • Patent Number
    10,016,241
  • Date Filed
    Thursday, March 24, 2016
    8 years ago
  • Date Issued
    Tuesday, July 10, 2018
    6 years ago
Abstract
A method and system for planning a creation of a cement bore in a bone comprises obtaining a virtual model of a bone, the model of the bone including a proximal bone surface, a distal bone surface, and a depth profile between the proximal bone surface and the distal bone surface. A planned positioning of a first implant selected to be implanted in the proximal bone surface is obtained. An identity of at least one tool used to alter the proximal bone surface to receive the first implant in the planned positioning and obtaining geometry data for the at least one tool is obtained. A cement bore required in the bone using the geometry data of the at least one tool and the planned positioning of the first implant is generated. The virtual model of the bone with the cement bore indicative of a relation between the cement bore and the distal bone surface is output.
Description
FIELD OF THE APPLICATION

The present application generally relates to computer assistance in positioning orthopedic implants on bones, using patient specific instrumentation.


BACKGROUND OF THE ART

Orthopedic implants often comprise an articular surface that replaces damaged bone surface. There are different ways to secure the implant to a bone, one of which involves the use of a cement. In some instances, such as in shoulder implant surgery, the bones are relatively thin and this is a parameter to take into consideration when implanting the implant. For example, cement bores that are defined in the bone are often deeper than the length of the implant portion for cement to be received therein. However, there is a risk that a bore extends through the bone, as the subsequent injection of cement could unknowingly penetrate the body and cause various types of ailments. It is therefore desirable to assist the procedure of positioning cement bores for subsequent re-altering the bone.


SUMMARY OF THE APPLICATION

It is therefore an aim of the present invention to provide a novel method and system for assisting implant placement in thin bones.


Therefore, in accordance with a first embodiment of the present disclosure, there is provided a method for planning a creation of a cement bore in a bone, comprising: obtaining a virtual model of a bone, the model of the bone including a proximal bone surface, a distal bone surface, and a depth profile between the proximal bone surface and the distal bone surface; obtaining a planned positioning of a first implant selected to be implanted in the proximal bone surface; obtaining an identity of at least one tool used to alter the proximal bone surface to receive the first implant in the planned positioning and obtaining geometry data for the at least one tool; generating a cement bore required in the bone using the geometry data of the at least one tool and the planned positioning of the first implant; and outputting the virtual model of the bone with the cement bore indicative of a relation between the cement bore and the distal bone surface.


Further in accordance with the first embodiment, the method is repeated with a second implant if the cement bore for the first implant pierces through the distal bone surface.


Still further in accordance with the first embodiment, a jig model is generated and output and has a contour surface being a negative of a corresponding surface of the bone for complementary unique engagement, the jig model for creating the cement bore in the bone.


Still further in accordance with the first embodiment, generating the jig model comprises defining a stop on the jig model to limit a depth of the cement bore to that calculated.


Still further in accordance with the first embodiment, outputting the virtual model of the bone with the cement bore comprises outputting a virtually manipulable three-dimensional model.


Still further in accordance with the first embodiment, obtaining a virtual model of a bone comprises generating a three-dimensional virtual model of the bone using imaging.


Still further in accordance with the first embodiment, obtaining an identity of at least one tool comprises determining the identity of the at least one tool using an identity or geometry data of the first implant.


Still further in accordance with the first embodiment, obtaining a planned positioning of a first implant comprises generating a model of the first implant relative to a virtual model of the bone for navigated selection.


Still further in accordance with the first embodiment, generating the cement bore comprises calculating that the cement bore for the first implant pierces through the distal bone surface, and wherein outputting the virtual model of the bone with the cement bore comprises indicating that the first implant pierces through the distal bone surface.


Still further in accordance with the first embodiment, the method is for planning a creation of a cement bore in a scapula.


In accordance with a second embodiment of the present disclosure, there is provided a system for planning a creation of a cement bore in a bone comprising: a bone modeler module for obtaining a virtual model of a bone, the model of the bone including a proximal bone surface, a distal bone surface, and a depth profile between the proximal bone surface and the distal bone surface; and a depth image generator module for obtaining a planned positioning of a first implant selected to be implanted in the proximal bone surface, for obtaining an identity of at least one tool used to alter the proximal bone surface to receive the first implant in the planned positioning and obtaining geometry data for the at least one tool, and for calculating a cement bore required in the bone using the geometry data of the at least one tool and the planned positioning of the first implant, and for an outputting the virtual model of the bone with the cement bore indicative of a relation between the cement bore and the distal bone surface.


Still further in accordance with the second embodiment, a PSI jig module outputs a jig model having a contour surface being a negative of a corresponding surface of the bone for complementary unique engagement, the jig model for creating the cement bore in the bone.


Still further in accordance with the second embodiment, the jig model comprises a stop to limit a depth of the cement bore to that calculated.


Still further in accordance with the second embodiment, the jig model is a three-dimension printable model.


Still further in accordance with the second embodiment, the depth image generator module outputs a virtually manipulable three-dimensional model of the bone with the cement bore.


Still further in accordance with the second embodiment, the bone modeler module generates a three-dimensional virtual model of the bone from imaging data.


Still further in accordance with the second embodiment, the depth image generator module determines the identity of the at least one tool using an identity or geometry data of the first implant.


Still further in accordance with the second embodiment, the depth image generator module generates and outputs a model of the first implant relative to virtual model of the bone for navigated selection.


Still further in accordance with the second embodiment, a depth warning module calculates that the cement bore for the first implant pierces through the distal bone surface, the system indicating that the first implant pierces through the distal bone surface.


Still further in accordance with the second embodiment, the system is configured to plan the creation of the cement bore in a scapula.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a flow chart showing a method for assisting implant placement in thin bones in accordance with an embodiment of the present disclosure; and



FIG. 2 is a block diagram showing a system for assisting implant placement in thin bones in accordance with another embodiment of the present disclosure;



FIG. 3 is a picture of a depth image generated in the method of FIG. 1 and extracted from 3D modeling, showing a pegged glenoid implant; and



FIG. 4 is a picture of a depth image generated in the method of FIG. 1 and extracted from 3D modeling, showing a keeled glenoid implant.





DESCRIPTION OF THE EXEMPLARY EMBODIMENTS

Referring to the drawings, and more particularly to FIG. 1, there is illustrated a method 10 for assisting implant placement in thin bones, for instance by planning a creation of a cement bore in a bone and creating a patient specific instrumentation (hereinafter PSI) jig for guiding an operator in altering the bone for subsequently anchoring the implant to the bone. For clarity, reference to patient specific in the present application pertains to the creation of negative corresponding contour surfaces, i.e., a surface that is the negative opposite of a patient bone/cartilage surface, such that the patient specific surface conforms to the patient bone/cartilage surface, by complementary confirming unique engagement contact. The method is particularly suited to be used in shoulder surgery, when an implant must be secured to the glenoid cavity of the scapula (a.k.a., shoulder blade).


According to 12, the bone is virtually modeled. Obtaining the model includes generating the virtual model using imaging. The imaging may be done by any appropriate technology such as CT scanning (computerized tomography), fluoroscopy, or like radiography methods, providing suitable resolution of images. The bone modeling may also be performed or supplemented by surface palpation, as an alternative or supplemental embodiment, using other tracking technology (e.g., optical, inertial sensors). The model of the bone comprises a surface geometry of parts of the bone with or without cartilage. As the present disclosure relates to thin bones, the modeling of the bone comprises generating opposed surfaces to illustrate the depth profile of the portion of the bone of interest, i.e., the depth variations between the bone surfaces. The expression “depth” is used, as the bone will be altered in depth (e.g., using a drill); however, the expression “thickness” could also be employed, as in the thickness of the bone is profiled. The bone surfaces may include a proximal surface, that is exposed during surgery and upon which alterations are made, and a distal surface, often hidden behind soft tissue during surgery. To render surgery as minimally invasive as possible, the distal surface remains hidden so as not to displace soft tissue. In the case of shoulder surgery, the proximal surface may be the glenoid (a.k.a., glenoid vault, glenoid cavity, glenoid fossa).


The bone modeling may comprise generating or refining a 3D surface of the bone if the bone modeling is not directly performed by the imaging equipment, or if not complete. Additional structures may be modeled as well, such as cartilage, etc.


According to 13, a cement bore model is generated, and is specific to the implant selected by the operator of the method 10. For example, based on the imaging, an implant model may be selected using sizing parameters and like information, according to a surgeon's preference, to an engineer's design considerations, etc. The cement bore model consists of a representation of the bone alterations that must be performed in the bone, for the implant to be received and anchored to the bone based on a planned positioning of the implant. As seen in FIGS. 3 and 4, the cement bore model A may comprises bores or mantels in which the cement will be received. It is observed that a depth of the cement bores exceeds the depth of implant components, and may also exceed the sectional size of the implant components.



13 may be broken down into 13A to 13E, in accordance with an embodiment, to generate the cement bore model A. According to 13A, planned positioning and/or size data may obtained for the selected implant. The size data may be obtained using a data file associated with the implant model or with the implant selection. The size data may also be calculated using the virtual implant model. The size data is specific to the implant selection. The planned positioning may be selected by the operator or the surgeon, prior to or during the method 10. When the planned positioning is selected during the method 10, 13A may include generating a model of the implant relative to a virtual model of the bone for navigated selection, i.e., allowing the operator and/or surgeon to move the implant or part of it relative to the bone, until a desired positioning is reached, i.e., the planned positioning. The planned positioning may include a position and orientation of the implant relative to the bone, whereby the navigated selection may include rotating and translating the virtual model of the implant relative to the virtual model of the bone.


According to 13B, an identity of the tool(s) required to alter the bone is obtained, and it may be determined, based on the planned positioning of the selected implant, and the determination may be based on the size data of the selected implant. For example, if a peg of a given diameter and length is to be inserted in the bone, the identity of the tool will be as a function of making a hole of sufficient cross-section to receive the peg. The pairing of implants and altering tool(s) may be done before the generation of the cement bore model A, for example as part of the specifications of the implants. The specifications may indeed identify the tool(s) required or suggested to perform the alterations and prepare the bone to receive the selected implant. The identity may be part of a data file accompanying the implant model obtained by the system. The determination of identity may also be effected once the implant is selected, based on a condition or anatomical features of the bone.


According to 13C, geometry data is obtained for the tool(s) identified or paired to the selected implant. In particular, the geometry data is that of the working end of the tool(s), i.e., the part of the tool(s) that alter the bone. The geometry data may be in the form of a virtual tool model and/or quantitative data.


According to 13D, a cement bore A is generated by calculating the alterations to be made to the bone with the tool(s), to receive the selected implant. The generation of the cement bore A may include determining a depth of penetration of the tool(s) to create sufficient space for the insertion of any implant component (such as a peg). Therefore, the generation of the cement bore A may include a consideration of the implant geometry and of the tool geometry.


According to 14, a depth image or model is output, displaying the image or model of the cement bore relative to the virtual model of the bone. The image or model may also include the selected implant and/or tool associated to the cement bore model A. For instance, the images of FIGS. 3 and 4 are such depth images, and provide a 2D view of the bone in the depth orientation, as the depth of the cement bores is an important parameter in positioning the implant. The 2D views may be extracted from 3D models, to show the closest the cement bore model A comes to the distal surface of the bone. The generation of depth model may be in the form of a 3D model of the cement bore relative to the 3D model of the bone, such depth model being navigated to change a point of view and enable the operator to see the distal surface of the bone (i.e., the hidden surface). Any piercing of the distal surface by the cement bore model A will therefore be apparent and indicative of a source of cement leak.


The generating of depth image/model of 14 may include indicating to the operator of the piercing of the distal surface, or may advise that the cement bore model A has reached a warning zone predefined in proximity to the distal surface. The warning may be in the form of a change of color of the cement bore model A, a message indicating a fault, a rejection of the implant selection. The outputting of the depth image/model may provide quantitative data representative of the distance to the distal surface, to guide the operator in selecting a different implant.


Any of these features allow the operator to be informed any risk in piercing through the thin dimension of the bone and causing hidden leaks of cement. 13 and 14 may be repeated until the operator finalizes the selection of the implant, based on the positioning and planning data generated in 13.


According to 15, once the operator has selected an implant as set forth above, a PSI jig model may be generated. The jig model will have a contact surface(s) defined to abut against the bone based in the planning visualized in 14, in a predictable and precise manner. Typically, the PSI jig is a cutting block or cutting guide that will guide the identified tool(s) of 13 to alter the bone to ensure the implant is positioned as planned, and to ensure that the alterations are as planned, including the cement bore planned to be as the cement bore model A in 13 and 14. The PSI jig model of 15 may therefore comprise cutting planes, drill guides, slots, or any other tooling interface or tool, oriented and/or positioned to allow bone alterations to be formed in a desired location of the bone, relative to the preplanned position. Moreover, as the depth of the cement bore must be as planned with the cement bore model A, the PSI jig model of 15 may feature a depth stop for the tool, or like tool abutment surfaces to limit the depth of machining of the tool as a function of the planned cement bore depth. The PSI jig model of 15 may be a 3D printable model (e.g., an STL file).


Alternatively, in 15, a navigation file may be created, which navigation file will be used during surgery to guide the operator in manipulating the tools to alter the bone as planned in 14. For example, inertial sensors or optical tracking technology may be used in the implant procedure, and the navigation file will be used by the computer-assisted surgery system to guide the operator to create the cement bore corresponding to the planned cement bore model A.


According to 16, once the PSI jig model has been generated, the PSI jig may be created, according to any appropriate method, such as 3D printing (additive manufacturing), NC machining, etc. The PSI jig created in 16 may then be used intra-operatively to allow alterations to be made on the bone, and to reproduce the planned cement bore model A. For example, to ensure a suitable depth is achieved, the PSI jig may be used to guide a drill (e.g., a cannulated drill) or a pressurizer.


Now that the method for planning a creation of a cement bore in a bone and designing and creating a PSI device for assisting implant placement and cement bore alteration in thin bones, a system is set forth.


A system for assisting implant placement in thin bones (including planning a creation of a cement bore in a bone and designing and creating a PSI device for assisting implant placement and cement bore alteration in thin bones) is generally shown at 20 in FIG. 2. The system 20 may comprise an imaging unit 30, such as a CT scan or an X-ray machine, so as to obtain images of the bone and implant. As an alternative, images may be obtained from an image source 31. As an example, a CT scan may be operated remotely from the system 20, whereby the system 20 may simply obtain images and/or processed bone and implant models from the image source 31. The images may also include images from other sources, including surface palpation data obtained from tracking technology that may be part of the imaging unit 30 and/or may contribute in creating the images of the image source 31. The imaging unit 30 has the capacity of modeling a 3D model of the bone including opposed surfaces to illustrate the depth profile of the portion of the bone of interest.


The system 20 comprises a processor unit 40 (e.g., computer, laptop, etc.) that comprises different modules so as to ultimately produce a jig model or a navigation file. The processing unit 40 of the system 20 may therefore comprise a bone modeler 41 receiving images from sources 30 or 31 to generate a 3D model of the bone. In accordance with the method 10 of FIG. 1, the 3D model of the bone may comprise data pertaining to the surface geometry of a relevant portion of a bone. The surface geometry includes both sides of a thin portion of a bone upon which alterations must be performed.


The bone modeler 41 will create the 3D model of the bone that is then used by a depth image generator 42 of the processing unit 40. Alternatively, the depth image generator 42 may use a 3D model provided by the image source 31, provided the model obtained from the image source 31 comprises sufficient data, including the depth profile featuring both sides of a thin portion of a bone upon which alterations must be performed.


The depth image generator 42 obtains a planned positioning of an implant, which may include a model of an implant based for example on a selection made by an operator. In an embodiment, the implant model is selected in an implant database 42A. The implant model may include size data. The size data may also be calculated using the virtual implant model. The size data is specific to the implant selection. The depth image generator 42 may generate a model of the implant relative to a virtual model of the bone for navigated selection, by which a surgeon or operator may reach the planned positioning, as a depth model B. However, the planned positioning may have been previously done, and simply obtained by the depth image generator 42.


The depth image generator 42 also identifies the tool(s) required to alter the bone for receiving the implant, i.e., based on the selection made by the operator and the planned positioning. The depth image generator 42 may use the size data to identify a tool having the right dimensions to make a hole capable of receiving the implant. The pairing of implants and altering tool(s) may be provided as part of the specifications of the implants. The identification by the depth image generator 42 may include obtaining geometry data for the tool(s) identified or paired to the selected implant. In particular, the geometry data is that of the working end of the tool(s), i.e., the part of the tool(s) that alter the bone. The geometry data may be in the form of a virtual tool model and/or quantitative data.


With this data, the depth image generator 42 generates the virtual depth model B on any appropriate interface, featuring the cement bore A relative to the bone model. The depth image generator 42 outputs (generates) the depth images or models such as those shown in FIGS. 3 and 4, and may allow a user to navigate the model, to observe the hidden surface of the bone. The depth image generator 42 calculates the alterations to be made to the bone with the tool(s), to receive the selected implant, to lead to the cement bore A. The cement bore A is as a function of a depth of penetration of the tool(s) to create sufficient space for the insertion of any implant component (such as a peg). Therefore, the generation of the cement bore model A may include a consideration of the implant geometry and of the tool geometry.


A depth warning module 42C may be used in conjunction with the depth image generation 42 to warn the operator of the piercing of the distal surface, or may advise that the cement bore model A has reached a warning zone in too close proximity to the distal surface. The warning may be in the form of a change of colour of the cement bore model A, a message indicating a fault, a rejection of the implant selection. The depth warning module 42C may also provide quantitative data representative of the distance to the distal surface, to guide the operator in selecting a different implant


Once the operator is satisfied with the implant selection and position based on the data obtained from the depth image generator 42, a PSI jig model generator 43 will generate a jig model (e.g., such as a 3D printable model). As in 15 of the method 10, the jig model will have a contact surface(s) defined to abut against the bone in a predictable and precise manner, for performing alterations to the bone to lead to the planned implant position, including the planned position and depth of the cement bore model A planned. As the PSI jig will support a tool to perform alterations on the bone, the jig model comprises cutting planes, guides, slots, or any other tooling interface or tool, trackers (oriented and/or positioned to allow bone alterations to be formed in a desired location of the bone, relative to the contact surface(s), as well as a depth stop for the tool, or like tool abutment surfaces to limit the depth of machining of the tool as a function of the planned cement bore depth.


Thus, PSI model generator 43 may alternatively be a navigation file generator, the navigation file being used in computer-assisted surgery for assisting the operator in placing the implant as planned.


Accordingly, the system 20 outputs a PSI jig model or navigation file 50 that will be used to create the PSI jig. The PSI jig may be created, according to any appropriate method, such as 3D printing (additive manufacturing), NC machining, etc. The PSI jig or navigation file is then used intra-operatively to alter the bone for subsequent implant installation.


While the methods and systems described above have been described and shown with reference to particular steps performed in a particular order, these steps may be combined, subdivided or reordered to form an equivalent method without departing from the teachings of the present disclosure. Accordingly, the order and grouping of the steps is not a limitation of the present disclosure.

Claims
  • 1. A method for planning a creation of a cement bore in a bone, comprising: obtaining a virtual model of a bone, the model of the bone including a proximal bone surface, a distal bone surface, and a depth profile between the proximal bone surface and the distal bone surface;obtaining a planned positioning of a first implant selected to be implanted in the proximal bone surface;obtaining an identity of at least one tool used to alter the proximal bone surface to receive the first implant in the planned positioning and obtaining geometry data for the at least one tool;generating a cement bore required in the bone using the geometry data of the at least one tool and the planned positioning of the first implant; andoutputting the virtual model of the bone with the cement bore indicative of a relation between the cement bore and the distal bone surface.
  • 2. The method according to claim 1, further comprising repeating the method with a second implant if the cement bore for the first implant pierces through the distal bone surface.
  • 3. The method according to claim 1, further comprising generating and outputting a jig model having a contour surface being a negative of a corresponding surface of the bone for complementary unique engagement, the jig model for creating the cement bore in the bone.
  • 4. The method according to claim 3, wherein generating the jig model comprises defining a stop on the jig model to limit a depth of the cement bore to that calculated.
  • 5. The method according to claim 1, wherein outputting the virtual model of the bone with the cement bore comprises outputting a virtually manipulable three-dimensional model.
  • 6. The method according to claim 1, wherein obtaining a virtual model of a bone comprises generating a three-dimensional virtual model of the bone using imaging.
  • 7. The method according to claim 1, wherein obtaining an identity of at least one tool comprises determining the identity of the at least one tool using an identity or geometry data of the first implant.
  • 8. The method according to claim 1, wherein obtaining a planned positioning of a first implant comprises generating a model of the first implant relative to a virtual model of the bone for navigated selection.
  • 9. The method according to claim 1, wherein generating the cement bore comprises calculating that the cement bore for the first implant pierces through the distal bone surface, and wherein outputting the virtual model of the bone with the cement bore comprises indicating that the first implant pierces through the distal bone surface.
  • 10. The method according to claim 1, wherein the method is for planning a creation of a cement bore in a scapula.
  • 11. A system for planning a creation of a cement bore in a bone comprising: a bone modeler module for obtaining a virtual model of a bone, the model of the bone including a proximal bone surface, a distal bone surface, and a depth profile between the proximal bone surface and the distal bone surface; anda depth image generator module for obtaining a planned positioning of a first implant selected to be implanted in the proximal bone surface, for obtaining an identity of at least one tool used to alter the proximal bone surface to receive the first implant in the planned positioning and obtaining geometry data for the at least one tool, and for calculating a cement bore required in the bone using the geometry data of the at least one tool and the planned positioning of the first implant, and for an outputting the virtual model of the bone with the cement bore indicative of a relation between the cement bore and the distal bone surface.
  • 12. The system according to claim 11, further comprising a PSI jig module for outputting a jig model having a contour surface being a negative of a corresponding surface of the bone for complementary unique engagement, the jig model for creating the cement bore in the bone.
  • 13. The system according to claim 12, wherein the jig model comprises a stop to limit a depth of the cement bore to that calculated.
  • 14. The system according to claim 12, wherein the jig model is a three-dimension printable model.
  • 15. The system according to claim 11, wherein the depth image generator module outputs a virtually manipulable three-dimensional model of the bone with the cement bore.
  • 16. The system according to claim 11, wherein the bone modeler module generates a three-dimensional virtual model of the bone from imaging data.
  • 17. The system according to claim 11, wherein the depth image generator module determines the identity of the at least one tool using an identity or geometry data of the first implant.
  • 18. The system according to claim 11, wherein the depth image generator module generates and outputs a model of the first implant relative to virtual model of the bone for navigated selection.
  • 19. The system according to claim 11, further comprising a depth warning module for calculating that the cement bore for the first implant pierces through the distal bone surface, the system indicating that the first implant pierces through the distal bone surface.
  • 20. The system according to claim 11, wherein the system is configured to plan the creation of the cement bore in a scapula.
CROSS-REFERENCE TO RELATED APPLICATION

The present application claims priority of U.S. Provisional Patent Application No. 62/138,165, filed on Mar. 25, 2015, and incorporated herein by reference.

US Referenced Citations (303)
Number Name Date Kind
4841975 Woolson Jun 1989 A
5098383 Hemmy et al. Mar 1992 A
5490854 Fisher et al. Feb 1996 A
5768134 Swaelens et al. Jun 1998 A
5871018 Delp et al. Feb 1999 A
5916219 Matsuno et al. Jun 1999 A
6648640 Rubbert Nov 2003 B2
7357057 Chiang Apr 2008 B2
7468075 Lang et al. Dec 2008 B2
7510557 Bonutti Mar 2009 B1
7534263 Burdulis May 2009 B2
7618451 Berez et al. Nov 2009 B2
7634119 Tsougarakis et al. Dec 2009 B2
7717956 Lang May 2010 B2
7796791 Tsougarakis et al. Sep 2010 B2
7799077 Lang et al. Sep 2010 B2
7806896 Bonutti Oct 2010 B1
7806897 Bonutti Oct 2010 B1
7967868 White et al. Jun 2011 B2
7981158 Fitz et al. Jul 2011 B2
8062302 Lang et al. Nov 2011 B2
8066708 Lang et al. Nov 2011 B2
8070752 Metzger et al. Dec 2011 B2
8077950 Tsougarakis et al. Dec 2011 B2
8083745 Lang et al. Dec 2011 B2
8092465 Metzger et al. Jan 2012 B2
8094900 Steines et al. Jan 2012 B2
8105330 Fitz et al. Jan 2012 B2
8122582 Burdulis, Jr. et al. Feb 2012 B2
8133234 Meridew et al. Mar 2012 B2
8160345 Pavlovskaia et al. Apr 2012 B2
8175683 Roose May 2012 B2
8221430 Park et al. Jul 2012 B2
8234097 Steines et al. Jul 2012 B2
8241293 Stone et al. Aug 2012 B2
8282646 Schoenefeld et al. Oct 2012 B2
8298237 Schoenefeld Oct 2012 B2
8337501 Fitz et al. Dec 2012 B2
8337507 Lang et al. Dec 2012 B2
8343218 Lang et al. Jan 2013 B2
8366771 Burdulis et al. Feb 2013 B2
8377129 Fitz et al. Feb 2013 B2
8439926 Bojarski et al. May 2013 B2
8460304 Fitz et al. Jun 2013 B2
8480754 Bojarski et al. Jul 2013 B2
8500740 Bojarski et al. Aug 2013 B2
8529568 Bouadi Sep 2013 B2
8529630 Bojarski Sep 2013 B2
8585708 Fitz et al. Sep 2013 B2
8545569 Fitz et al. Oct 2013 B2
8551099 Lang Oct 2013 B2
8551102 Fitz et al. Oct 2013 B2
8551103 Fitz et al. Oct 2013 B2
8551169 Fitz et al. Oct 2013 B2
8556906 Fitz et al. Oct 2013 B2
8556907 Fitz et al. Oct 2013 B2
8556971 Lang Oct 2013 B2
8556983 Bojarski et al. Oct 2013 B2
8561278 Fitz et al. Oct 2013 B2
8562611 Fitz et al. Oct 2013 B2
8562618 Fitz et al. Oct 2013 B2
8568479 Fitz et al. Oct 2013 B2
8568480 Fitz et al. Oct 2013 B2
8617172 Fitz et al. Dec 2013 B2
8617242 Philipp Dec 2013 B2
8623026 Wong et al. Jan 2014 B2
8634617 Tsougarakis et al. Jan 2014 B2
8638998 Steines et al. Jan 2014 B2
8641716 Fitz et al. Feb 2014 B2
8657827 Fitz et al. Feb 2014 B2
8682052 Fitz et al. Mar 2014 B2
9737367 Steines Aug 2017 B2
20030055502 Lang et al. Mar 2003 A1
20030216669 Lang et al. Nov 2003 A1
20040133276 Lang et al. Jul 2004 A1
20040138754 Lang et al. Jul 2004 A1
20040147927 Tsougarakis et al. Jul 2004 A1
20040153079 Tsougarakis et al. Aug 2004 A1
20040204644 Tsougarakis et al. Oct 2004 A1
20040204760 Fitz et al. Oct 2004 A1
20040236424 Berez et al. Nov 2004 A1
20050234461 Burdulis et al. Oct 2005 A1
20050267584 Burdulis et al. Dec 2005 A1
20060111722 Bouadi May 2006 A1
20070083266 Lang Apr 2007 A1
20070100462 Lang et al. May 2007 A1
20070156171 Lang et al. Jul 2007 A1
20070157783 Chiang Jul 2007 A1
20070198022 Lang et al. Aug 2007 A1
20070226986 Park et al. Oct 2007 A1
20070233141 Park et al. Oct 2007 A1
20070233269 Steines et al. Oct 2007 A1
20070250169 Lang Oct 2007 A1
20080114370 Schoenefeld May 2008 A1
20080147072 Park et al. Jun 2008 A1
20080161815 Schoenefeld et al. Jul 2008 A1
20080195216 Philipp Aug 2008 A1
20080243127 Lang et al. Oct 2008 A1
20080275452 Lang et al. Nov 2008 A1
20080281328 Lang et al. Nov 2008 A1
20080281329 Fitz et al. Nov 2008 A1
20080281426 Fitz et al. Nov 2008 A1
20080287954 Kunz et al. Nov 2008 A1
20090024131 Metzgu et al. Jan 2009 A1
20090088753 Aram et al. Apr 2009 A1
20090088754 Aker et al. Apr 2009 A1
20090088755 Aker et al. Apr 2009 A1
20090088758 Bennett Apr 2009 A1
20090088759 Aram et al. Apr 2009 A1
20090088760 Aram et al. Apr 2009 A1
20090088761 Roose et al. Apr 2009 A1
20090088763 Aram et al. Apr 2009 A1
20090093816 Roose et al. Apr 2009 A1
20090099567 Zajac Apr 2009 A1
20090110498 Park et al. Apr 2009 A1
20090131941 Park et al. May 2009 A1
20090131942 Aker et al. May 2009 A1
20090138020 Park et al. May 2009 A1
20090157083 Park et al. Jun 2009 A1
20090222014 Bojarksi et al. Sep 2009 A1
20090222016 Park et al. Sep 2009 A1
20090222103 Fitz et al. Sep 2009 A1
20090226068 Fitz et al. Sep 2009 A1
20090228113 Lang et al. Sep 2009 A1
20090254093 White et al. Oct 2009 A1
20090270868 Park et al. Oct 2009 A1
20090276045 Lang Nov 2009 A1
20090306676 Lang et al. Dec 2009 A1
20090307893 Burdulis, Jr. et al. Dec 2009 A1
20090312805 Lang et al. Dec 2009 A1
20100023015 Park Jan 2010 A1
20100042105 Park et al. Feb 2010 A1
20100049195 Park et al. Feb 2010 A1
20100054572 Tsougarakis et al. Mar 2010 A1
20100082035 Keefer Apr 2010 A1
20100087829 Metzger et al. Apr 2010 A1
20100152741 Park et al. Jun 2010 A1
20100152782 Stone et al. Jun 2010 A1
20100160917 Fitz et al. Jun 2010 A1
20100168754 Fitz et al. Jul 2010 A1
20100174376 Lang et al. Jul 2010 A1
20100185202 Lester et al. Jul 2010 A1
20100191244 White et al. Jul 2010 A1
20100212138 Carroll et al. Aug 2010 A1
20100217270 Polinski et al. Aug 2010 A1
20100217338 Carroll et al. Aug 2010 A1
20100228257 Bonutti Sep 2010 A1
20100234849 Bouadi Sep 2010 A1
20100256479 Park et al. Oct 2010 A1
20100262150 Lian Oct 2010 A1
20100274534 Steines et al. Oct 2010 A1
20100281678 Burdulis, Jr. et al. Nov 2010 A1
20100286700 Snider et al. Nov 2010 A1
20100298894 Bojarski et al. Nov 2010 A1
20100303313 Lang et al. Dec 2010 A1
20100303317 Tsougarakis et al. Dec 2010 A1
20100303324 Lang et al. Dec 2010 A1
20100305573 Fitz et al. Dec 2010 A1
20100305574 Fitz et al. Dec 2010 A1
20100305708 Lang et al. Dec 2010 A1
20100305907 Fitz et al. Dec 2010 A1
20100329530 Lang et al. Dec 2010 A1
20110015636 Katrana et al. Jan 2011 A1
20110015637 De Smedt et al. Jan 2011 A1
20110015639 Metzger et al. Jan 2011 A1
20110029091 Bojarski et al. Feb 2011 A1
20110029093 Bojarski et al. Feb 2011 A1
20110040168 Arnaud et al. Feb 2011 A1
20110054478 Vanasse et al. Mar 2011 A1
20110060341 Angibaud et al. Mar 2011 A1
20110066193 Lang et al. Mar 2011 A1
20110066245 Lang et al. Mar 2011 A1
20110071533 Metzger et al. Mar 2011 A1
20110071581 Lang et al. Mar 2011 A1
20110071645 Bojarski et al. Mar 2011 A1
20110071802 Bojarski et al. Mar 2011 A1
20110087332 Bojarski et al. Apr 2011 A1
20110092977 Salehi et al. Apr 2011 A1
20110093108 Ashby et al. Apr 2011 A1
20110106093 Romano et al. May 2011 A1
20110144760 Wong et al. Jun 2011 A1
20110160736 Meridew et al. Jun 2011 A1
20110160867 Meridew et al. Jun 2011 A1
20110166578 Stone et al. Jul 2011 A1
20110172672 Dubeau et al. Jul 2011 A1
20110184419 Meridew et al. Jul 2011 A1
20110196377 Hodorek et al. Aug 2011 A1
20110213368 Fitz et al. Sep 2011 A1
20110213373 Fitz et al. Sep 2011 A1
20110213374 Fitz et al. Sep 2011 A1
20110213376 Maxson et al. Sep 2011 A1
20110213377 Lang et al. Sep 2011 A1
20110213427 Fitz et al. Sep 2011 A1
20110213428 Fitz et al. Sep 2011 A1
20110213429 Lang et al. Sep 2011 A1
20110213430 Lang et al. Sep 2011 A1
20110213431 Fitz et al. Sep 2011 A1
20110214279 Park et al. Sep 2011 A1
20110218539 Fitz et al. Sep 2011 A1
20110218545 Catanzarite et al. Sep 2011 A1
20110218584 Fitz et al. Sep 2011 A1
20110224674 White et al. Sep 2011 A1
20110230888 Lang et al. Sep 2011 A1
20110238073 Lang et al. Sep 2011 A1
20110245835 Dodds et al. Oct 2011 A1
20110266265 Lang Nov 2011 A1
20110295329 Fitz et al. Dec 2011 A1
20110295378 Bojarski et al. Dec 2011 A1
20110313423 Lang et al. Dec 2011 A1
20110313424 Bono et al. Dec 2011 A1
20110319897 Lang et al. Dec 2011 A1
20110319900 Lang et al. Dec 2011 A1
20120010711 Antonyshyn et al. Jan 2012 A1
20120029520 Lang et al. Feb 2012 A1
20120041445 Roose et al. Feb 2012 A1
20120041446 Wong et al. Feb 2012 A1
20120065640 Metzger et al. Mar 2012 A1
20120066892 Lang et al. Mar 2012 A1
20120071881 Lang et al. Mar 2012 A1
20120071882 Lang et al. Mar 2012 A1
20120071883 Lang et al. Mar 2012 A1
20120072185 Lang et al. Mar 2012 A1
20120078254 Ashby et al. Mar 2012 A1
20120078258 Lo et al. Mar 2012 A1
20120078259 Meridew Mar 2012 A1
20120093377 Tsougarakis et al. Apr 2012 A1
20120101503 Lang et al. Apr 2012 A1
20120109138 Meridew et al. May 2012 A1
20120116203 Vancraen et al. May 2012 A1
20120116562 Agnihotri et al. May 2012 A1
20120123422 Agnihotri et al. May 2012 A1
20120123423 Fryman May 2012 A1
20120130382 Iannotti et al. May 2012 A1
20120130687 Otto et al. May 2012 A1
20120141034 Iannotti et al. Jun 2012 A1
20120143197 Lang et al. Jun 2012 A1
20120151730 Fitz et al. Jun 2012 A1
20120158001 Burdulis, Jr. et al. Jun 2012 A1
20120165820 De Smedt et al. Jun 2012 A1
20120172884 Zheng et al. Jul 2012 A1
20120191205 Bojarski et al. Jul 2012 A1
20120191420 Bojarski et al. Jul 2012 A1
20120192401 Pavlovskaia et al. Aug 2012 A1
20120197260 Fitz et al. Aug 2012 A1
20120197408 Lang et al. Aug 2012 A1
20120201440 Steines et al. Aug 2012 A1
20120209276 Schuster Aug 2012 A1
20120209394 Bojarski et al. Aug 2012 A1
20120215226 Bonutti Aug 2012 A1
20120221008 Carroll et al. Aug 2012 A1
20120226283 Meridew et al. Sep 2012 A1
20120232669 Bojarski et al. Sep 2012 A1
20120232670 Bojarski et al. Sep 2012 A1
20120232671 Bojarski Sep 2012 A1
20120239045 Li Sep 2012 A1
20120245647 Kunz et al. Sep 2012 A1
20120245699 Lang et al. Sep 2012 A1
20120265208 Smith Oct 2012 A1
20120271366 Katrana et al. Oct 2012 A1
20120276509 Iannotti et al. Nov 2012 A1
20120277751 Catanzarite et al. Nov 2012 A1
20120289966 Fitz et al. Nov 2012 A1
20120296337 Fitz et al. Nov 2012 A1
20130018379 Fitz et al. Jan 2013 A1
20130018380 Fitz et al. Jan 2013 A1
20130018464 Fitz et al. Jan 2013 A1
20130023884 Fitz et al. Jan 2013 A1
20130024000 Bojarski et al. Jan 2013 A1
20130030419 Fitz et al. Jan 2013 A1
20130030441 Fitz et al. Jan 2013 A1
20130079781 Fitz et al. Mar 2013 A1
20130079876 Fitz et al. Mar 2013 A1
20130081247 Fitz et al. Apr 2013 A1
20130096562 Fitz et al. Apr 2013 A1
20130103363 Lang et al. Apr 2013 A1
20130110471 Lang et al. May 2013 A1
20130123792 Fitz et al. May 2013 A1
20130184713 Bojarski et al. Jul 2013 A1
20130197870 Steines et al. Aug 2013 A1
20130211409 Burdulis, Jr. et al. Aug 2013 A1
20130211410 Landes et al. Aug 2013 A1
20130211531 Steines et al. Aug 2013 A1
20130245803 Lang Sep 2013 A1
20130253522 Bojarski et al. Sep 2013 A1
20130289570 Chao Oct 2013 A1
20130296874 Chao Nov 2013 A1
20130297031 Hafez Nov 2013 A1
20130317511 Bojarski et al. Nov 2013 A1
20130331850 Bojarski et al. Dec 2013 A1
20140005792 Lang et al. Jan 2014 A1
20140029814 Fitz et al. Jan 2014 A1
20140031826 Bojarski et al. Jan 2014 A1
20140039631 Bojarski et al. Feb 2014 A1
20140058396 Fitz et al. Feb 2014 A1
20140058397 Fitz et al. Feb 2014 A1
20140066935 Fitz et al. Mar 2014 A1
20140066936 Fitz et al. Mar 2014 A1
20140074441 Fitz et al. Mar 2014 A1
20140086780 Miller et al. Mar 2014 A1
20140244220 McKinnon et al. Aug 2014 A1
20160015465 Steines Jan 2016 A1
20160331467 Slamin Nov 2016 A1
20170135706 Frey May 2017 A1
Foreign Referenced Citations (221)
Number Date Country
2004293091 Jun 2005 AU
2004293104 Jun 2005 AU
2005309692 Jun 2006 AU
2005311558 Jun 2006 AU
2002310193 Mar 2007 AU
2006297137 Apr 2007 AU
2002310193 May 2007 AU
2007202573 Jun 2007 AU
2007212033 Aug 2007 AU
2007226924 Sep 2007 AU
2009221773 Sep 2009 AU
2009246474 Nov 2009 AU
2010201200 Apr 2010 AU
2011203237 Jul 2011 AU
2010217903 Sep 2011 AU
2010236263 Nov 2011 AU
2010264466 Feb 2012 AU
2010289706 Mar 2012 AU
2010315099 May 2012 AU
2010327987 Jun 2012 AU
2011203237 Oct 2012 AU
2012216829 Oct 2012 AU
2012217654 Oct 2013 AU
2007212033 Jan 2014 AU
2014200073 Jan 2014 AU
2012289973 Mar 2014 AU
2012296556 Mar 2014 AU
2501041 Apr 2004 CA
2505371 May 2004 CA
2505419 Jun 2004 CA
2506849 Jun 2004 CA
2546958 Jun 2005 CA
2546965 Jun 2005 CA
2804883 Jun 2005 CA
2588907 Jun 2006 CA
2590534 Jun 2006 CA
2623834 Apr 2007 CA
2641241 Aug 2007 CA
2646288 Sep 2007 CA
2717760 Sep 2009 CA
2765499 Dec 2010 CA
2771573 Mar 2011 CA
2779283 May 2011 CA
2782137 Jun 2011 CA
2546965 Mar 2013 CA
1728976 Feb 2006 CN
1729483 Feb 2006 CN
1729484 Feb 2006 CN
1913844 Feb 2007 CN
101111197 Jan 2008 CN
101384230 Mar 2009 CN
101442960 May 2009 CN
100502808 Jun 2009 CN
102006841 Apr 2011 CN
102125448 Jul 2011 CN
102405032 Apr 2012 CN
102448394 May 2012 CN
101420911 Jul 2012 CN
102599960 Jul 2012 CN
1913844 Sep 2012 CN
102711670 Oct 2012 CN
102724934 Oct 2012 CN
102805677 Dec 2012 CN
1729483 Oct 2013 CN
103476363 Dec 2013 CN
60336002 Mar 2011 DE
60239674 May 2011 DE
602004032166 May 2011 DE
602005027391 May 2011 DE
1555962 Jul 2005 EP
1558181 Aug 2005 EP
1567985 Aug 2005 EP
1575460 Sep 2005 EP
1686930 Aug 2006 EP
1686931 Aug 2006 EP
1389980 Apr 2007 EP
1814491 Aug 2007 EP
1833387 Sep 2007 EP
1686930 Oct 2007 EP
1686931 Jan 2008 EP
1928359 Jun 2008 EP
1951136 Aug 2008 EP
1981409 Oct 2008 EP
1996121 Dec 2008 EP
2114312 Nov 2009 EP
2124764 Dec 2009 EP
1928359 Oct 2010 EP
2259753 Dec 2010 EP
2265199 Dec 2010 EP
1555962 Feb 2011 EP
2292188 Mar 2011 EP
2292189 Mar 2011 EP
1389980 Apr 2011 EP
1686930 Apr 2011 EP
1833387 Apr 2011 EP
2303193 Apr 2011 EP
2316357 May 2011 EP
2324799 May 2011 EP
2335654 Jun 2011 EP
2403434 Jan 2012 EP
2405865 Jan 2012 EP
2419035 Feb 2012 EP
2265199 Mar 2012 EP
2303193 Mar 2012 EP
2259753 Apr 2012 EP
2292188 May 2012 EP
2292189 May 2012 EP
2445451 May 2012 EP
2470126 Jul 2012 EP
2496183 Sep 2012 EP
2509539 Oct 2012 EP
2512381 Oct 2012 EP
2324799 Jan 2013 EP
2419035 Jan 2013 EP
2445451 Mar 2013 EP
2403434 Apr 2013 EP
2591756 May 2013 EP
2496183 Dec 2013 EP
2512381 Dec 2013 EP
2649951 Dec 2013 EP
2649951 Dec 2013 EP
2671520 Dec 2013 EP
2671521 Dec 2013 EP
2671522 Dec 2013 EP
2114312 Jan 2014 EP
2710967 Mar 2014 EP
2484042 Mar 2012 GB
2489884 Oct 2012 GB
201213674 Oct 2012 GB
2484042 Mar 2014 GB
1059882 Aug 2011 HK
1072710 Aug 2011 HK
1087324 Nov 2011 HK
1104776 Nov 2011 HK
2006510403 Mar 2006 JP
2007514470 Jun 2007 JP
2011519713 Jul 2011 JP
2011224384 Nov 2011 JP
2012091033 May 2012 JP
2012176318 Sep 2012 JP
5053515 Oct 2012 JP
2012187415 Oct 2012 JP
2012523897 Oct 2012 JP
5074036 Nov 2012 JP
2012531265 Dec 2012 JP
2013503007 Jan 2013 JP
5148284 Feb 2013 JP
5198069 May 2013 JP
2014000425 Jan 2014 JP
20050072500 Jul 2005 KR
20050084024 Aug 2005 KR
20120090997 Aug 2012 KR
20120102576 Sep 2012 KR
2012007140 Jan 2013 MX
597261 Nov 2013 NZ
173840 Sep 2011 SG
175229 Nov 2011 SG
176833 Jan 2012 SG
178836 Apr 2012 SG
193484 Oct 2013 SG
200509870 Mar 2005 TW
1231755 May 2005 TW
200800123 Jan 2008 TW
1330075 Sep 2010 TW
9814128 Apr 1998 WO
2004049981 Jun 2004 WO
2004051301 Jun 2004 WO
2005051239 Jun 2005 WO
2005051240 Jun 2005 WO
2006058057 Jun 2006 WO
2006060795 Jun 2006 WO
2006058057 Jul 2006 WO
2007041375 Apr 2007 WO
2007062103 May 2007 WO
2007092841 Aug 2007 WO
2007109641 Sep 2007 WO
2007092841 Nov 2007 WO
2007109641 Dec 2007 WO
2008101090 Aug 2008 WO
2008112996 Sep 2008 WO
2008101090 Nov 2008 WO
2008157412 Dec 2008 WO
2007041375 Apr 2009 WO
2008157412 Apr 2009 WO
2009111626 Sep 2009 WO
2009111639 Sep 2009 WO
2009111656 Sep 2009 WO
2009140294 Nov 2009 WO
2009111626 Jan 2010 WO
2010099231 Sep 2010 WO
2010099353 Sep 2010 WO
2010121147 Oct 2010 WO
2010099231 Nov 2010 WO
2011028624 Mar 2011 WO
2011056995 May 2011 WO
2011072235 Jun 2011 WO
2011075697 Jun 2011 WO
2011056995 Sep 2011 WO
2011075697 Oct 2011 WO
2011072235 Dec 2011 WO
2012112694 Aug 2012 WO
2012112694 Aug 2012 WO
2012112698 Aug 2012 WO
2012112701 Aug 2012 WO
2012112702 Aug 2012 WO
2012112694 Jan 2013 WO
2012112701 Jan 2013 WO
2012112702 Jan 2013 WO
2013020026 Feb 2013 WO
2013025814 Feb 2013 WO
2012112698 Mar 2013 WO
2013056036 Apr 2013 WO
2013119790 Aug 2013 WO
2013119865 Aug 2013 WO
2013131066 Sep 2013 WO
2013152341 Oct 2013 WO
2013155500 Oct 2013 WO
2013155501 Oct 2013 WO
2014008444 Jan 2014 WO
2014035991 Mar 2014 WO
2014047514 Mar 2014 WO
Non-Patent Literature Citations (2)
Entry
Taylor et al, “Computer-Integrated Surgery, Technology and Clinical Applications”, The MIT Press, Cambridge, MA, London, UK, pp. 451-463.
Hofmann et al, “Natural-Knee II System”, Intermedics Orthopedics, Austin, TX, 1995.
Related Publications (1)
Number Date Country
20160278867 A1 Sep 2016 US
Provisional Applications (1)
Number Date Country
62138165 Mar 2015 US