Shoulder Arthroplasty Component Sizing From CT-Based Glenoid Anatomy
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Solution Overview
Problem
Current shoulder arthroplasty systems lack optimal design based on anatomical distribution, leading to issues such as glenoid component sizing inadequacies, malposition, and instability, particularly in patients with arthritis, due to inadequate instrumentation and reliance on data from non-arthritic shoulders.
Innovation Solution
A method utilizing computed tomography scan data to optimize prosthetic component design by measuring specific anatomical features and manufacturing components with dimensions determined by predetermined percentages of these measurements, ensuring accurate fit and stability in arthritic joints.
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 fit and stability deteriorate
Solution Approach 1:
The patent applies parameter changes by establishing specific dimensional relationships between glenoid component width and anatomical measurements (width ≤ neutral face plate line length, projection length = 70-90% of depth measurement). This ensures components are sized appropriately for arthritic anatomy while maintaining manufacturability through clear design criteria.
Solution Approach 2:
The patent performs preliminary action by using preoperative CT scanning and 3D reconstruction to measure anatomical parameters before surgery. This allows the surgeon to select the appropriate component size in advance, ensuring optimal fit for the patient's specific arthritic anatomy without requiring intraoperative adjustments.
2Reliability
If larger glenoid components are used, then component fit and stability improve, but risk of glenoid perforation and neurovascular structure violation increases
Solution Approach 1:
The patent resolves this contradiction by defining precise parameter limits: component width must be less than or equal to the neutral face plate line length, and projection length must be 70-90% of the depth measurement. These parameter constraints ensure the component is large enough for stability while small enough to avoid perforation and neurovascular violation.
Solution Approach 2:
The patent applies local quality by customizing component dimensions to match the specific anatomical characteristics of each patient's glenoid. Rather than using a one-size-fits-all approach, the component width and projection length are tailored to the individual's neutral face plate line length and depth measurements, ensuring optimal fit without overhang or perforation.
3Device complexity
If conventional instrumentation is used, then device complexity is reduced, but surgical precision and component positioning accuracy deteriorate
Solution Approach 1:
The patent applies copying by creating a 3D digital reconstruction of the patient's glenoid anatomy from CT scan data. This virtual model serves as a precise template for planning component placement and determining optimal component size, allowing the surgeon to transfer the planned dimensions directly to the physical component and instrumentation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides precise, anatomically optimized prosthetic components that improve fit and stability in shoulder arthroplasty, reducing complications like glenoid perforation and component overhang, and enhancing tuberosity healing in fracture cases.
Implementation Method 1
obtaining a computed tomography scan of the joint
Implementation Method 2
obtaining an image of the bone of the joint
Data Source
Figure 1~2
Figure 3~4
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.