Intra-Operative Arthroplasty Planning With 3D Joint Modeling

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Solution Overview

Problem

Existing total joint replacement surgeries face significant intra-operative technical errors and challenges in defining personalized surgical plans due to improper cut parameters, leading to unsatisfactory clinical outcomes for a substantial portion of patients.

Innovation Solution

A computer-based platform that receives surgeon-specific and patient-specific profiles, integrates bone registration data, and models joint movements to generate a personalized surgical plan, incorporating implant profiles, functional parameters, and movement-related data to optimize implantation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional surgical planning is used, then the surgical procedure can be performed with standard protocols, but intra-operative technical errors increase and personalized surgical plans cannot be defined

Engineering Contradiction:

Improvecut parameter precisionVSAvoidsurgical planning complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-processing patient imaging data (CT scans, X-rays) to create 3D bone models and pre-calculating optimal cut parameters before the actual surgery. This allows the surgical team to have a personalized surgical plan ready in advance, reducing intra-operative errors while managing complexity through automated pre-computation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates a virtual copy of the patient's joint anatomy through 3D modeling from imaging data. This digital replica allows surgeons to plan and simulate cut parameters on the virtual model without risking the actual patient, enabling precise personalized planning while simplifying the physical surgical process through virtual rehearsal.

Inventive Principle:

Principle #26Copying

2Reliability

If personalized surgical plans are defined with multiple parameters, then clinical outcomes improve, but the complexity of defining the surgical plan increases

Engineering Contradiction:

Improveclinical outcome reliabilityVSAvoidsurgical plan definition ease

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-service by automatically generating personalized surgical plans based on the patient's imaging data and anatomical models. The automated algorithm calculates optimal cut parameters, implant sizes, and positioning without requiring manual intervention for each parameter, thereby improving clinical outcomes while making the plan definition process easier through automation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes parameters by automatically adjusting multiple surgical parameters (cut angles, implant sizes, positioning) based on the patient's specific anatomy and the selected implant. This automated parameter optimization ensures reliable clinical outcomes while simplifying the surgeon's task to mainly reviewing and confirming the generated plan rather than manually calculating each parameter.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If standard surgical protocols are used, then the surgical process is simple, but intra-operative technical errors increase

Engineering Contradiction:

Improveintra-operative accuracyVSAvoidcomputer-based platform complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces manual mechanical measurement and calculation processes with an automated computer-based platform. The computer processes imaging data, creates 3D models, and calculates optimal cut parameters automatically, replacing the mechanical process of manual measurement and reducing intra-operative technical errors while managing complexity through software automation rather than physical complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Manufacturing precision

If multiple input data types are integrated, then personalized surgical plans improve, but data processing complexity increases

Engineering Contradiction:

Improvesurgical parameter precisionVSAvoiddata integration complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system merges multiple input data types (CT scans, X-rays, implant specifications, surgeon preferences) into a unified 3D anatomical model and integrated surgical plan. By combining these diverse data sources in a single computational framework, the system achieves precise personalized surgical parameters while managing data integration complexity through a unified processing architecture.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250339207A1Computer-based platform for implementing an intra-operative surgical plan during a total joint arthroplasty

Publication Date: 2025.11.06 ADVITA ORTHO LLC

AI summary

A method includes receiving by a controller, a surgeon-specific surgery profile for an implantation of an implant into a joint, implant profiles, a patient-specific post-surgery desired functional profile of the joint after the implantation, and bone registration data for a first bone member and a second bone member of a patient are inputted into a surgical plan model to generate a surgical plan. The surgical plan model is designed to achieve the patient-specific post-surgery desired functional profile based at least in part on a plurality of dependencies between a plurality of surgical parameters, the implant profiles, at least one functional parameter representative of the expected functional performance of the joint, and movement-related data of the joint. The surgical plan is outputted on a graphical user interface (GUI) on a surgery assistant device to facilitate the implantation.