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Diagnosis of Engaging Bipolar Bone Defects in the Shoulder Using 2-Dimensional Computed Tomography: A Cadaveric Study
David M Burns1, Jaskarndip Chahal2,3, Shahram Shahrokhi2,3
1Division of Orthopaedics, Department of Surgery, University of Toronto, Toronto, Ontario, Canada d.burns@utoronto.ca.
The American Journal of Sports Medicine
|August 7, 2016
Summary
Accurate identification of engaging bipolar bone defects in the shoulder is crucial for successful stabilization surgery. Abduction and external rotation CT scans and 2D measurements can reliably predict engagement, aiding surgical planning.
Area of Science:
- Orthopedics
- Sports Medicine
- Radiology
Background:
- Bipolar bone loss (glenoid and humeral) cumulatively impacts shoulder instability.
- Engagement of bone defects in specific positions can lead to stabilization procedure failure.
- Accurate assessment of engaging lesions remains a challenge.
Purpose of the Study:
- To evaluate the interaction between humeral and glenoid bone defects on shoulder engagement.
- To assess CT in abduction and external rotation (ABER) for predicting engagement.
- To evaluate glenoid lesion width and intact anterior articular angle (IAAA) for engagement prediction.
Main Methods:
- Created 45 bipolar defect combinations in 12 cadaveric shoulders.
- Assessed defects using CT in neutral and ABER positions.
- Measured glenoid defect width and IAAA on 2D reformats; compared with glenoid track method.
Main Results:
- The glenoid track method identified 53% of engaging defects.
- ABER CT accurately predicted engagement in 96% of cases (92% sensitivity, 100% specificity).
- Glenoid defect width and IAAA model achieved 87% accuracy (92% sensitivity, 81% specificity).
Conclusions:
- ABER CT and 2D measurements (glenoid width, IAAA) accurately identify engaging bipolar bone defects.
- These methods aid surgical planning for shoulder stabilization with bipolar defects.
- Improved prediction of engagement enhances outcomes for shoulder instability surgery.
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