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<p>Computer vision enables scalable biomechanical assessment of human movement without specialized laboratories. These emerging technologies could inform personalization of physical therapy after sports-related injuries, such as anterior cruciate ligament ruptures, ensuring such injuries do not end an athlete’s career, delay return to sport, or increase the risk of reinjury or post-traumatic osteoarthritis. Despite the availability of computer-vision tools, the clinical relevance of video-derived data after anterior cruciate ligament reconstruction (ACLR) remains unclear, motivating the current study. Video, marker-based motion capture, strength testing, and patient-reported outcomes from 46 participants were collected during 3-month and 9-month post-surgery visits in laboratory and clinical settings. Video-derived kinematic asymmetry during functional exercises was computed using a single-view approach (SAM 3D Body). Video-based asymmetry measured at 3 months significantly improved prediction of 9-month patient-reported outcomes (<i>ρ</i> = 0.61 without video data, <i>ρ</i> = 0.87 with video data). A video-derived kinematic asymmetry index, collected within two minutes, was highly correlated with a dynamometer-based strength-asymmetry index requiring 40 minutes (<i>r</i> = 0.86, <i>p</i> &lt; 0.001). Prognostic video-based metrics were repeatable between laboratory and clinical environments. These findings support video-based motion capture as a clinically meaningful and scalable candidate digital biomarker of functional recovery and long-term outcomes after ACLR.</p>

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Clinical videos enable digital assessment of functional recovery and prediction of long-term outcomes after anterior cruciate ligament reconstruction

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月4日

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  • Zhixiong Li,
  • Evy Meinders,
  • Sijia Li,
  • Soyong Shin,
  • Andrew L. Sprague,
  • James J. Irrgang,
  • Jonathan D. Hughes,
  • Stephen J. Rabuck,
  • Bryson P. Lesniak,
  • Volker Musahl,
  • Eni Halilaj

摘要

Computer vision enables scalable biomechanical assessment of human movement without specialized laboratories. These emerging technologies could inform personalization of physical therapy after sports-related injuries, such as anterior cruciate ligament ruptures, ensuring such injuries do not end an athlete’s career, delay return to sport, or increase the risk of reinjury or post-traumatic osteoarthritis. Despite the availability of computer-vision tools, the clinical relevance of video-derived data after anterior cruciate ligament reconstruction (ACLR) remains unclear, motivating the current study. Video, marker-based motion capture, strength testing, and patient-reported outcomes from 46 participants were collected during 3-month and 9-month post-surgery visits in laboratory and clinical settings. Video-derived kinematic asymmetry during functional exercises was computed using a single-view approach (SAM 3D Body). Video-based asymmetry measured at 3 months significantly improved prediction of 9-month patient-reported outcomes (ρ = 0.61 without video data, ρ = 0.87 with video data). A video-derived kinematic asymmetry index, collected within two minutes, was highly correlated with a dynamometer-based strength-asymmetry index requiring 40 minutes (r = 0.86, p < 0.001). Prognostic video-based metrics were repeatable between laboratory and clinical environments. These findings support video-based motion capture as a clinically meaningful and scalable candidate digital biomarker of functional recovery and long-term outcomes after ACLR.