Joint Range-of-Motion Planning for Precise Implant Positioning
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Solution Overview
Problem
Existing surgical planning systems lack the ability to effectively plan and execute orthopedic procedures pre-operatively, intra-operatively, and post-operatively to restore joint functionality, particularly in arthroplasty, due to limitations in capturing patient anatomy and implant positioning.
Innovation Solution
A surgical planning system utilizing a host computer, client computers, imaging devices, and cloud-based storage to create, edit, and execute surgical plans, incorporating modules for data access, display, spatial analysis, and comparison, along with databases for patient and surgical outcomes, enabling precise implant positioning and joint restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surgical planning methods are used, then the surgical process is simpler, but the precision of implant positioning and restoration of joint functionality is insufficient
Solution Approach 1:
The system performs pre-operative planning and simulation before actual surgery, allowing surgeons to visualize implant positioning, assess range of motion, and optimize surgical outcomes in advance. This preliminary digital planning reduces intraoperative complexity while improving precision.
Solution Approach 2:
The system creates digital copies (3D models) of patient anatomy from imaging data, allowing virtual manipulation and measurement without physical constraints. These digital replicas enable precise implant positioning planning while avoiding the complexity of direct physical measurement and trial fitting.
2Reliability
If comprehensive postoperative data collection is implemented, then surgical outcomes can be improved through learning, but the time and resources required for data entry increase
Solution Approach 1:
The system implements feedback loops where postoperative patient outcome data is collected, stored in databases, and used to continuously improve future surgical plans. This evidence-based feedback mechanism enhances surgical reliability by learning from actual outcomes while the system manages data processing efficiently.
Solution Approach 2:
The system automatically manages and processes postoperative data through integrated databases and computational algorithms, reducing manual data entry requirements. The automated system handles data storage, analysis, and integration into future planning workflows, minimizing time loss while maintaining comprehensive data collection.
Data Source
AI summary
Improved surgical planning systems and methods are provided for planning orthopaedic procedures, including pre-operatively, intra-operatively, and/or post-operatively to create, edit, execute, and/or review surgical plans. The surgical planning systems and methods may be utilized for planning and implementing orthopaedic procedures to restore functionality to a joint. In some embodiments, range of motion simulations may be performed on a joint associated with a plurality of anatomical makeup classifications, and range of motion data derived from the range of motion simulations may be stored within a storage system of the surgical planning system.