Orthopaedic Resection Planning With Target Joint Space Matching
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Solution Overview
Problem
Existing orthopaedic surgical planning systems require significant manual intervention and are inefficient in determining optimal resection planes for joint replacement procedures, leading to prolonged planning times and potential inaccuracies.
Innovation Solution
A computer-assisted system that automatically generates a surgical plan by receiving target joint space values, performing bony and leg-alignment registration, and adjusting resection heights to match target joint spaces, with a robotic surgical device constraining the saw to predefined planes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual instruments such as cutting blocks or cutting guides are used to perform resections, then the surgeon can perform the procedure with basic tools, but the planning process is time-consuming and prone to inaccuracies
Solution Approach 1:
The system performs preliminary computational analysis and generates resection plans before the actual surgical procedure. The computer system automatically determines optimal resection planes, depths, and angles based on pre-acquired imaging data, allowing the surgeon to review and approve the plan beforehand rather than calculating it manually during the procedure.
Solution Approach 2:
The patent replaces manual mechanical calculation and measurement methods with an automated computer-based system. Instead of manually positioning cutting guides and calculating resection parameters, the system uses computational algorithms to determine precise resection parameters and guides the surgical instruments accordingly.
2Manufacturing precision
If computer-assisted surgical navigation systems are used to perform resections, then the precision of the procedure is improved, but the complexity of the system increases
Solution Approach 1:
The computer system performs multiple functions within a single integrated platform: it processes imaging data, performs computational analysis, generates resection plans, and guides surgical instruments. This multi-functionality reduces the need for separate specialized devices while maintaining high precision.
Solution Approach 2:
The system automatically performs computational analysis and plan generation without requiring extensive manual input or adjustment by the surgeon. The computer autonomously calculates resection parameters based on the imaging data and surgical requirements, reducing the operational complexity for the user.
3Measurement precision
If automated computational analysis is used to determine resection planes, then the accuracy of joint space values is improved, but the extent of automation increases system complexity
Solution Approach 1:
The system incorporates feedback mechanisms where the computational results are presented to the surgeon for review and approval. The surgeon can provide input to adjust or refine the automatically generated plan, creating a feedback loop that combines automated precision with human expertise and judgment.
Data Source
AI summary
Systems and methods for planning and assisting orthopaedic surgical procedures include a computer system and a robotic surgical device. The computer system receives a set of target joint space values including a target extension space value and a target flexion space value. The computer system initializes a surgical plan including planned resection heights and determines a set of current joint space values based on the surgical plan. The computer system adjusts one or more planned resection heights of the surgical plan until the set of current joint space values matches the set of target joint space values. The computer system may control the robotic surgical device according to the surgical plan.