Department of Computing, University of Surrey, Guildford, London, England.
JAMA Ophthalmol. 2013 May;131(5):659-61. doi: 10.1001/jamaophthalmol.2013.28.
Motion analysis has been validated as a tool to evaluate surgical skill. We investigated a novel computer vision-based tool for the evaluation of surgical movements during cataract surgery. A prospective cohort analysis of 2 groups was performed. Ten videos of junior surgeons (ie, those with <200 cases) and 10 videos of senior surgeons (ie, those with >1000 cases) were analyzed. Movement parameters were measured over an entire procedure. Significant statistical differences were found between novice and expert surgeons for total path length (P = .002), number of movements (P = .05), and total time (P = .004). Our study has shown that computer vision-based motion analysis can be successfully applied to video recordings of cataract surgery to provide robust measurements of instrument motion. Further work needs to be done to evaluate its usefulness in training and feedback.
运动分析已被验证为评估手术技能的一种工具。我们研究了一种新的基于计算机视觉的工具,用于评估白内障手术过程中的手术动作。对 2 组进行了前瞻性队列分析。分析了 10 名初级外科医生(即手术量<200 例)和 10 名高级外科医生(即手术量>1000 例)的视频。对整个手术过程中的运动参数进行了测量。在总路径长度(P =.002)、动作次数(P =.05)和总时间(P =.004)方面,新手和专家外科医生之间存在显著的统计学差异。我们的研究表明,基于计算机视觉的运动分析可以成功应用于白内障手术的视频记录,为器械运动提供可靠的测量。还需要进一步的工作来评估其在培训和反馈中的有用性。