Patient-adapted and improved articular implants, designs and related guide tools

• US 9,775,680 B2
• Filed: 11/11/2011
• Issued: 10/03/2017
• Est. Priority Date: 05/25/2001
• Status: Expired due to Fees

• Current Assignee: Conformis Incorporated
• Original Assignee: Conformis Incorporated
• Inventors: Bojarski, Raymond A., Chao, Nam T., Slamin, John, Lang, Philipp, Fitz, Wolfgang, Steines, Daniel
• Primary Examiner(s): Philogene, Pedro
• Application Number:
  US13/294,623
• Publication Number:
  US 20120191420A1
• Time in Patent Office: 2,153 Days
• Field of Search: 703 1- 3, 703 11, 606 79- 85, 606 87- 89, 606 96, 606102, 606 86 A, 606 86 R
• CPC Class Codes: A61B 17/155 Cutting femur
• CPC Class Codes: A61B 17/157 Cutting tibia
• CPC Class Codes: A61B 17/1764 for the knee
• CPC Class Codes: A61B 2034/107 Visualisation of planned trajectories or target regions
• CPC Class Codes: A61B 2034/108 Computer aided selection or customisation of medical implants or cutting guides
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61F 2/30942 for designing or making customized prostheses, e.g. using templates, CT or NMR scans, finite-element analysis or CAD-CAM techniques
• CPC Class Codes: A61F 2/384 hinged, i.e. with transverse axle restricting the movement
• CPC Class Codes: A61F 2/3859 Femoral components
• CPC Class Codes: A61F 2/3886 for stabilising knees against anterior or lateral dislocations
• CPC Class Codes: A61F 2/389 Tibial components A61F2/3868 takes precedence
• CPC Class Codes: A61F 2/5046 for designing or making customized prostheses, e.g. using templates, finite-element analysis or CAD-CAM techniques
• CPC Class Codes: A61F 2002/30324 differing in thickness
• CPC Class Codes: A61F 2002/30327 differing in diameter
• CPC Class Codes: A61F 2002/30952 using CAD-CAM techniques or NC-techniques
• CPC Class Codes: A61F 2002/3895 unicompartimental
• CPC Class Codes: B33Y 80/00 Products made by additive manufacturing

Abstract

Methods and devices are disclosed relating improved articular models, implant components, and related guide tools and procedures. In addition, methods and devices are disclosed relating articular models, implant components, and/or related guide tools and procedures that include one or more features derived from patient-data, for example, images of the patient'"'"'s joint. The data can be used to create a model for analyzing a patient'"'"'s joint and to devise and evaluate a course of corrective action. The data also can be used to create patient-adapted implant components and related tools and procedures.

Claims

1. A method for designing a patient-specific implant for repairing or replacing a joint of a patient, comprising:

preoperatively obtaining patient-specific image data of the joint of the patient and designing a patient-specific implant using the patient-specific image data;

simulating, in a computer system, biomotion of the joint of the patient with the patient-specific image data and/or other patient-specific data;

deriving a patient-specific biomotion model; and

optimizing the patient-specific implant using the patient-specific biomotion model.

2. The method of claim 1, wherein the other patient-specific data is image data.

3. The method of claim 1, wherein the other patient-specific data is kinematic data.

4. The method of claim 1, wherein the other patient-specific data is navigation data.

5. A method for selecting a patient-specific implant for repairing or replacing a joint of a patient, comprising:

preoperatively obtaining patient-specific image data of the joint of the patient and selecting a pre-existing implant based on the patient-specific image data;

simulating, in a computer system, biomotion of the joint of the patient with the patient-specific image data and/or other patient-specific data;

deriving a patient-specific biomotion model; and

optimizing by further shaping the selected implant using the patient-specific biomotion model.

6. The method of claim 5, wherein the other patient-specific data is image data.

7. The method of claim 5, wherein the other patient-specific data is kinematic data.

8. The method of claim 5, wherein the other patient-specific data is navigation data.