Shoulder Arthroplasty Glenoid Sizing Using CT Anatomy
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Solution Overview
Problem
Current shoulder arthroplasty systems lack optimal design based on anatomic distribution, leading to issues such as glenoid component sizing inadequacies, potential neurovascular structure violation, and malposition during surgery, particularly in patients with arthritis.
Innovation Solution
A method utilizing computed tomography scan data to optimize joint arthroplasty component design by measuring specific anatomical features and manufacturing prosthetic components with dimensions based on predetermined percentages of these measurements to ensure accurate fit and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If glenoid component sizes are not based on anatomic distribution, then manufacturing and instrumentation are simplified, but component sizing inadequacies occur leading to potential neurovascular structure violation
Solution Approach 1:
The patent applies parameter changes by establishing specific dimensional relationships between glenoid component width and the neutral face plate line length (width = predetermined percentage of length). This quantitative parameter definition ensures components are sized appropriately for individual patient anatomy while maintaining manufacturing feasibility through standardized measurement protocols.
Solution Approach 2:
The patent implements preliminary action by performing preoperative CT scanning and neutral face plate line measurement to determine the optimal glenoid component size before surgery. This advance planning allows surgeons to select the correct component size based on patient-specific anatomy, preventing neurovascular structure violation during implantation.
2Device complexity
If glenoid component sizes are not based on anatomic distribution, then instrumentation complexity is reduced, but malposition in version and inclination occurs
Solution Approach 1:
The patent defines precise parameter relationships (component width as predetermined percentage of neutral face plate line length) that guide both component manufacturing and positioning. This parameter-based approach ensures accurate placement in version and inclination while maintaining relatively simple instrumentation protocols.
Solution Approach 2:
The patent replaces complex mechanical positioning systems with a measurement-based selection method. By using preoperative CT measurements to determine component size, the system eliminates the need for complex intraoperative mechanical alignment devices while achieving superior positioning accuracy.
3Ease of manufacture
If fixed glenoid component sizes are used, then manufacturing and inventory management are simplified, but accurate fit for individual patients is compromised
Solution Approach 1:
The patent transforms fixed-size manufacturing into a parameter-driven sizing system where component width is defined as a predetermined percentage of the patient's neutral face plate line length. This allows manufacturers to produce components in standardized size increments while ensuring each patient receives a component accurately matched to their anatomy.
Solution Approach 2:
The patent implements preliminary CT scanning and measurement to determine the optimal component size for each patient before surgery. This preoperative planning enables selection of the most appropriate component size from available inventory, achieving accurate anatomical fit without requiring custom manufacturing for each patient.
Data Source
AI summary
Methods and devices are disclosed for the optimization of shoulder arthroplasty component design through the use of computed tomography scan data from arthritic shoulders.

