Impact of Leg Position on Measurements Used to Detect Femoral Component Subsidence in THA

Background: A fully automated artificial intelligence–based tool was developed to detect and quantify femoral component subsidence between serial radiographs. However, it did not account for measurement errors due to leg position differences, such as rotation or flexion, between comparative radiogra...

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Bibliographic Details
Main Authors: Elizabeth S. Kaji, BA, Austin F. Grove, BA, Eva Lehtonen, MD, Kellen L. Mulford, PhD, Pouria Rouzrokh, MD, MPH, MHPE, Charles P. Hannon, MD, MBA, Michael J. Taunton, MD, Cody C. Wyles, MD
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Arthroplasty Today
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352344124002383
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