Patient-Specific Soft Tissue Location for Orthopedic Planning
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Solution Overview
Problem
Conventional tools and instruments used in orthopedic arthroplasty lack precision in selecting and positioning prosthetic components, and current preoperative planning technologies do not adequately account for patient-specific soft tissue anatomy, leading to potential inaccuracies and inefficiencies in surgery.
Innovation Solution
A system and method for determining patient-specific soft tissue location within a joint, utilizing medical imaging and databases to aid in the selection and creation of surgical jigs and prostheses, incorporating user interfaces, image processing, and anatomical geometry calculations to optimize fit and positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tools and instruments are used for prosthetic component selection and placement, then the surgical procedure can be performed with standard equipment, but precision in component positioning and sizing is compromised due to reliance on user judgment
Solution Approach 1:
The system performs preoperative planning and soft tissue location determination before surgery, creating patient-specific anatomical models and measurements in advance. This preliminary action allows precise component selection and positioning planning to be completed beforehand, eliminating the need for complex intraoperative adjustments while maintaining high precision.
Solution Approach 2:
The system creates digital copies and models of the patient's specific anatomy through imaging and measurement, including virtual models of bones and soft tissue structures. These digital copies enable precise preoperative planning and component sizing without requiring complex physical tools during surgery, as all measurements and decisions are made using the digital anatomical replicas.
2Manufacturing precision
If conventional templating methods are used in preoperative planning, then the process can be completed with standard procedures, but patient-specific soft tissue anatomy is not adequately accounted for, leading to potential inaccuracies
Solution Approach 1:
The system replaces manual mechanical measurement methods with automated image processing and computer-based analysis. Soft tissue locations are determined through digital image analysis and anatomical modeling rather than physical measurement during surgery, significantly reducing the time required while improving accuracy of component fit predictions.
Solution Approach 2:
All soft tissue location determination and anatomical measurements are completed during the preoperative planning phase using imaging data, rather than during the surgical procedure. This preliminary determination of soft tissue locations allows accurate component sizing and positioning to be established before surgery begins, eliminating time-consuming intraoperative measurements.
3Adaptability or versatility
If standardized prosthetic components are used, then the inventory and selection process can be simplified, but customization to individual patient anatomy is limited
Solution Approach 1:
The system determines patient-specific soft tissue locations and anatomical characteristics for each individual patient through preoperative imaging and analysis. This local quality approach allows the surgical plan to be customized to the specific anatomical features of each patient's knee, including precise locations of ligaments and soft tissue structures, enabling better adaptation of standard components to individual anatomy without requiring custom-made implants.
Data Source
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AI summary
Methods and systems for determining a patient specific soft tissue location within a joint are discussed. For example, a method can include imaging a target location for an orthopedic implant to collect image data regarding a morphology of the patient, the morphology including at least one of bone size and bone feature. The method can additionally include accessing stored soft tissue data and bone data corresponding to the target location of the orthopedic implant, locating a soft tissue of the patient based at least in part upon the soft tissue data and bone data and the image data, and displaying data including the location of the soft tissue of the patient. This data can be used to created patient specific surgical jigs according to one example of the present application.