aceMeasuring Knee Alignment Following Distal Femur Fracture Surgery: A Novel Deep Learning Approach
Objectives To evaluate whether a machine learning-based system can accurately measure coronal knee alignment parameters from routine postoperative radiographs following surgical fixation of distal femur fractures. Methods Design: Retrospective cohort study. Setting Single-center academic orthopedic trauma practice. Patient selection criteria Adult patients 50 years of age or older who underwent surgical fixation of low-energy OTA/AO 33A and 33C distal femur fractures (including periprosthetic fractures) between…
Measuring Knee Alignment Following Distal Femur Fracture Surgery: A Novel Deep Learning Approach: Pearson correlation coefficients ranged from 0.4 to 1.0, and Bland-Altman analysis demonstrated minimal systematic bias, with 95% of differences falling within a clinically acceptable range of ±5°.
Evidence
- Peer-reviewedJournal of Orthopaedic Trauma2026-10-07
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Truvace Impact Record TRV-2026-1778, v1: “Measuring Knee Alignment Following Distal Femur Fracture Surgery: A Novel Deep Learning Approach.” Truvace, 2026-10-18. /record/TRV-2026-1778 (accessed at citation time). sha256 637a24a2fb7aced6…
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