Automated Shoulder Stability Surgery Planning System
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Solution Overview
Problem
Current processes for planning shoulder stability enhancement surgeries are laborious and prone to errors, particularly in determining bone loss and joint engagement, which can lead to incorrect surgical conclusions.
Innovation Solution
A computing system uses 3D models to determine bone loss and joint engagement by calculating areal sizes of predicted premorbid glenoid and humeral bones, Bankart lesions, and geodesic surfaces defined by Hill-Sachs lesions and humeral head footprints, thereby recommending appropriate surgical procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual determination of bone loss and joint engagement is performed by surgeons, then surgical planning can be completed, but human error increases and accuracy decreases
Solution Approach 1:
The patent replaces the manual mechanical measurement process with an automated image processing system. The computing system automatically determines bone loss and joint engagement by processing medical images, eliminating human error in manual measurements and calculations.
Solution Approach 2:
The patent creates digital replicas of the patient's anatomy through 3D modeling from medical images. These digital models allow for precise virtual measurement and analysis of bone loss and joint engagement without physically manipulating the patient's anatomy.
2Loss of information
If 2-dimensional imaging and 3-dimensional modeling are used manually, then surgical planning information can be obtained, but orientation and positioning errors occur
Solution Approach 1:
The patent transforms 2-dimensional medical images into 3-dimensional models, adding spatial dimensionality to the analysis. This enables more accurate assessment of bone loss and joint engagement by visualizing anatomical structures in three dimensions rather than flat projections.
Solution Approach 2:
The patent replaces manual orientation and positioning tasks with automated computational algorithms that precisely align and position anatomical models in 3D space, eliminating human error in spatial relationships.
3Reliability
If automated computing systems are used for surgical planning, then accuracy and reliability improve, but device complexity increases
Solution Approach 1:
The patent creates a multi-functional computing system that performs multiple surgical planning tasks: processing medical images, creating 3D models, measuring bone loss, assessing joint engagement, and recommending surgical procedures. This consolidated system handles diverse functions through integrated algorithms.
Solution Approach 2:
The computing system autonomously performs surgical planning without requiring manual intervention. The system automatically processes images, calculates measurements, determines joint engagement, and generates surgical recommendations independently.
Data Source
AI summary
Techniques and systems are described for planning shoulder stability enhancement surgeries. A computing system may determine a size of a predicted premorbid glenoid bone of the patient of a patient, a size of a Bankart lesion on a morbid glenoid bone of the patient, and a size of a geodesic surface on a 3-dimensional model of a predicted premorbid humerus of the patient. The geodesic surface is defined at least in part by a projected medial border of a Hill-Sachs lesion on a morbid humerus and a projected medial border of a footprint of a humeral head of the morbid humerus. The computing system may determine, based on the three areal sizes, whether bone loss of the patient involves joint engagement. The computing system may output an indication of whether a shoulder stability enhancement surgery that includes a bone graft is recommended for the patient.