Patient-specific surgical method and system
Inventors
Farley, Daniel • MCGUAN, Shawn • Jaramaz, Branislav • McKinnon, Brian W. • Nikou, Constantinos • DUXBURY, Elizabeth • Marinescu Tanasoca, Ruxandra C. • Landon, Ryan • Winebarger, Randy C. • Bowers, JR., William L.
Assignees
Smith and Nephew Orthopaedics AG • Smith and Nephew Asia Pacific Pte Ltd • Smith and Nephew Inc
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Publication Number
US-12402947-B2
Publication Date
2025-09-02
Expiration Date
Abstract
A method of determining patient-specific implant parameters for an implant used in a surgical procedure is described. A surgical system receives one or more initial transfer functions and one or more preoperative input factors for a patient and generates a surgical plan comprising one or more patient-specific implant parameters based on the one or more initial transfer functions and the one or more preoperative input factors for the patient. The surgical system further receives one or more intraoperative input factors for the patient and updates the one or more patient-specific implant parameters based on the one or more intraoperative input factors for the patient. An implant for the patient is selected based on the one or more updated patient-specific implant parameters.
Core Innovation
The invention relates to a patient-specific, computer-assisted surgical method and system that performs a surgical procedure by using preoperative input factors to generate a three-dimensional virtual model of a knee of the patient. The surgical system simulates the three-dimensional virtual model to perform one or more movements, and performs statistical analysis of one or more simulation results. Based on that statistical analysis, the system generates one or more initial transfer functions that describe one or more patient-specific relationships between the one or more preoperative input factors and one or more orthopedic responses.
Using the initial transfer functions and the one or more preoperative input factors, the system generates a surgical plan that comprises one or more patient-specific implant parameters. The system receives one or more intraoperative input factors for the patient and updates the one or more initial transfer functions based on the one or more intraoperative input factors. The system then selects an implant for the patient based on one or more updated transfer functions and reconfigures the surgical plan based on the selected implant and the one or more updated transfer functions.
Finally, the system controls a robotically assisted surgical tool based on the reconfigured surgical plan. The approach is further described in connection with generating transfer functions using virtual knee modeling, simulation and statistical analysis, with continuous improvement of transfer functions or predictor equations based on data collection across preoperative, intraoperative, and postoperative phases, including the option of machine learning refinement.
Claims Coverage
Independent claim clm-00001 defines a single, end-to-end method with 5 inventive features: patient-specific transfer functions derived from simulation, surgical planning with patient-specific implant parameters, intraoperative updating and implant selection, surgical plan reconfiguration, and robotically assisted tool control. Dependent claims refine the method with additional input factors, simulated movements, total knee arthroplasty, and machine learning refinement.
Patient-specific transfer functions from simulated virtual knee using preoperative inputs
Generating, based on a statistical analysis of one or more simulation results, one or more initial transfer functions describing one or more patient-specific relationships between the one or more preoperative input factors and one or more orthopedic responses.
Surgical plan with patient-specific implant parameters based on initial transfer functions
Generating, by the surgical system, a surgical plan based on the one or more initial transfer functions and the one or more preoperative input factors for the patient, wherein the surgical plan comprises one or more patient-specific implant parameters.
Intraoperative updating of transfer functions and implant selection
Updating the one or more initial transfer functions based on the one or more intraoperative input factors for the patient; selecting an implant for the patient based on one or more updated transfer functions; and reconfiguring the surgical plan based on the selected implant and the one or more updated transfer functions.
Robotically assisted surgical tool control based on reconfigured surgical plan
Controlling, by the surgical system, a robotically assisted surgical tool based on the reconfigured surgical plan.
Total knee arthroplasty procedure limitation
The method further defines that the surgical procedure is total knee arthroplasty.
Preoperative input factors include biometric and radiographic information and related patient history
The preoperative input factors include biometric data, radiographic assessment information, activity or fitness level, and/or health or injury history, or combinations thereof.
Intraoperative input factors include landmarks, surface mapping, and joint mechanics information
The intraoperative input factors include landmark locations and/or femur or tibia surface mapping data and/or joint laxity data and/or joint loading data.
Simulated movements include load regimes and movement/bending cycles
The one or more movements include load regimes, movement cycles, bending cycles, or combinations of these.
Machine learning refinement of initial transfer functions
Refining the one or more initial transfer functions using machine learning techniques.
The claim set covers a workflow in which a patient-specific three-dimensional virtual knee model is simulated, statistical analysis generates initial transfer functions relating preoperative inputs to orthopedic responses, a surgical plan with patient-specific implant parameters is produced, and intraoperative inputs update the transfer functions for implant selection and surgical plan reconfiguration. The robotically assisted surgical tool is then controlled based on the reconfigured surgical plan, with dependent claims specifying examples of preoperative and intraoperative inputs, movement types, a total knee arthroplasty limitation, and machine-learning-based refinement.
Stated Advantages
Improved matching of implant size/position/orientation.
Adaptability during the procedure by updating transfer functions using intraoperative inputs.
Documented Applications
Performing patient-specific computer-assisted surgical procedures using transfer functions for implant selection and robotically assisted surgical tool control, including total knee arthroplasty (TKA).
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