Proximal Femur Morphology Analysis for Prosthetic Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for selecting and positioning prosthetic components in total hip arthroplasty often result in improper fit, leading to long-term fixation and stability issues due to over-sizing or under-sizing, despite the use of various tools and templates.
Innovation Solution
A system that uses automated measurements from medical images of the proximal femur to calculate radiographic parameters such as cortical index, canal flare index, and flare indices, which helps in selecting the appropriate prosthetic implant by determining the optimal size and shape based on the patient's anatomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional tools and templates are used for prosthetic component selection, then the surgical procedure can be performed with standard equipment, but improper fit occurs leading to fixation and stability issues
Solution Approach 1:
The patent replaces traditional mechanical template-based measurement systems with a digital imaging and automated calculation system. The system uses medical images (X-rays, CT scans, or MRI) to automatically calculate radiographic parameters such as cortical index, canal flare index, and flare indices, eliminating the manual template overlay method and providing more precise prosthetic component selection based on quantitative morphological analysis
Solution Approach 2:
The patent introduces multiple radiographic parameters (cortical index, canal flare index, flare indices) to characterize proximal femur morphology. By measuring and analyzing these specific parameters from medical images, the system determines the optimal prosthetic implant size and shape, transforming the selection process from qualitative template matching to quantitative parameter-based decision making
2Measurement precision
If automated measurements from medical images are used to calculate radiographic parameters, then prosthetic selection accuracy is enhanced, but the complexity of the selection process increases
Solution Approach 1:
The system performs automated measurements and calculations of radiographic parameters directly from the uploaded medical images without requiring manual intervention. The automated calculation of cortical index, canal flare index, and flare indices eliminates the need for manual template overlay and measurement, reducing user burden while maintaining high measurement precision
Solution Approach 2:
The patent introduces a software-based intermediary system that acts as a bridge between the medical images and the prosthetic selection decision. This software intermediary automatically processes the images, calculates the radiographic parameters, and provides recommendations for optimal prosthetic component selection, simplifying the overall process despite the computational complexity involved
Data Source
AI summary
Methods and systems for selecting an appropriate prosthesis for a prospective implant recipient are discussed. For example, a method for selecting an appropriate prosthesis can include, accessing anatomical image data, receiving an indication of a plurality of landmark locations within the image data, constructing a femoral canal axial indication within the image data, producing a plurality of lateral anatomic structural measurements, and selecting the appropriate prosthesis to fit the prospective implant recipient. The anatomical image data can include sufficient detail to allow measurement of internal and external geometry of a proximal femur. The plurality of lateral anatomic structural measurements can include measurements along, and perpendicular to, the femoral canal axial indication that run along a femoral canal within the anatomical image data. The prosthesis can be selected based, at least in part, on the plurality of lateral anatomic structural measurements.