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A hierarchical task analysis of shoulder arthroscopy for a virtual arthroscopic tear diagnosis and evaluation platform (VATDEP)

机译:虚拟关节镜撕裂诊断和评估平台肩部关节镜的分层任务分析(VATDEP)

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摘要

Abstract Background Shoulder arthroscopy is a minimally invasive surgical procedure for diagnosis and treatment of a shoulder pathology. The procedure is performed with a fiber optic camera, called arthroscope, and instruments inserted through very tiny incisions made around the shoulder. The confined shoulder space, unintuitive camera orientation and constrained instrument motions complicates the procedure. Therefore, surgical competence in arthroscopy entails extensive training especially for psychomotor skills development. Conventional arthroscopy training methods such as mannequins, cadavers or apprenticeship model have limited use attributed to their low‐fidelity in realism, cost inefficiency or incurring high risk. However, virtual reality (VR) based surgical simulators offer a realistic, low cost, risk‐free training and assessment platform where the trainees can repeatedly perform arthroscopy and receive quantitative feedback on their performances. Therefore, we are developing a VR based shoulder arthroscopy simulation specifically for the rotator cuff ailments that can quantify the surgery performance. Development of such a VR simulation requires a through task analysis that describes the steps and goals of the procedure, comprehensive metrics for quantitative and objective skills and surgical technique assessment. Methods We analyzed shoulder arthroscopic rotator cuff surgeries and created a hierarchical task tree. We introduced a novel surgery metrics to reduce the subjectivity of the existing grading metrics and performed video analysis of 14 surgery recordings in the operating room (OR). We also analyzed our video analysis results with respect to the existing proposed metrics in the literature. Results We used Pearson's correlation tests to find any correlations among the task times, scores and surgery specific information. We determined strong positive correlation between cleaning time vs difficulty in tying suture, cleaning time vs difficulty in passing suture, cleaning time vs scar tissue size, difficulty passing vs difficulty in tying suture, total time and difficulty of the surgery. Conclusion We have established a hierarchical task analysis and analyzed our performance metrics. We will further use our metrics in our VR simulator for quantitative assessment.
机译:摘要背景肩部关节镜检查是一种微创外科手术,用于诊断和治疗肩部病理学。该过程用光纤相机,称为关节镜,并且通过在肩部周围制成的非常微小的切口插入仪器。狭窄的肩部空间,无线摄像机方向和约束仪器运动使程序复杂化。因此,关节镜检查的外科能力需要广泛的培训,特别是对精神力学技能的发展。常规关节镜培训方法,如人体模特,尸体或学徒模型的使用量有限,归因于其在现实主义,成本低效率低或产生高风险中的低保性。然而,基于虚拟现实(VR)的外科模拟器提供了现实,低成本,无风险的培训和评估平台,其中学员可以反复执行关节镜检查并获得对其性能的定量反馈。因此,我们正在开发一种基于VR的肩部关节镜检查模拟,具体用于转子袖带辅助,可以量化手术性能。这种VR模拟的开发需要通过任务分析,描述程序的步骤和目标,定量和客观技能和外科技术评估。方法分析了肩部关节镜转子袖带手术,并创建了一个分层任务树。我们介绍了一种新颖的手术指标,以降低现有分级度量的主观性,并在手术室(或)中对14个手术记录进行视频分析。我们还在文献中的现有拟议指标方面分析了我们的视频分析结果。结果我们使用Pearson的相关试验,以查找任务时间,分数和手术特定信息之间的任何相关性。我们在清洁时间VS难以绑扎缝合时的难度与缝合缝合的困难之间的强烈正相关,清洁时间与疤痕组织大小,难以通过与缝合缝合,总时间和手术难度难度。结论我们已经建立了分层任务分析并分析了我们的绩效指标。我们将在我们的VR模拟器中进一步使用我们的指标进行定量评估。

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