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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| 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 |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Arthroplasty Today |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352344124002383 |
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