Navigation Reduces the Learning Curve in Resurfacing Total Hip Arthroplasty

医学 髋关节表面修整 学习曲线 股骨头骨骺滑脱 关节置换术 外科 人工智能 医学物理学 股骨头 计算机科学 操作系统
作者
Justin Cobb,Vijaraj Kannan,K. Brust,Gow Thevendran
出处
期刊:Clinical Orthopaedics and Related Research [Ovid Technologies (Wolters Kluwer)]
卷期号:463: 90-97 被引量:74
标识
DOI:10.1097/blo.0b013e318126c0a5
摘要

Hip resurfacing is a novel technique with a substantial learning curve resulting in poor outcomes for many patients. We asked whether navigation would influence this learning curve and accuracy of implantation. Twenty medical students earning their degree in surgical technology participated in a randomized trial. We provided instruction about the surgical technique, including the use of conventional instrumentation, the use of a computed tomography-based planner for hip resurfacing, and a navigation system. The 20 students were then split into three groups undertaking these tasks in three different orders. Synthetic femurs replicated normal, osteoarthritis, slipped capital femoral epiphysis, and coxa valga. The mean error using the conventional method to insert a guidewire was 23 degrees; using the computed tomography plan method it was 22 degrees; and using navigation was 7 degrees. Students produced similar accuracy, even in their first attempt, on difficult anatomy when provided navigation. Motivated students rapidly achieved an expert level of accuracy when provided with navigation. Learning a conventional method first did not improve performance, even in difficult cases. Our data suggest navigation may play an important role in reducing the learning curve in hip resurfacing arthroplasty and other tasks in arthroplasty in which a high degree of accuracy is clinically important.
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