Jarc Anthony M, Curet Myriam J
Medical Research, Intuitive Surgical, Inc., 5655 Spalding Drive, Norcross, GA, 30092, USA.
VA Palo Alto, Stanford, CA, USA.
Surg Endosc. 2017 Mar;31(3):1192-1202. doi: 10.1007/s00464-016-5090-8. Epub 2016 Jul 15.
Effective visualization of the operative field is vital to surgical safety and education. However, additional metrics for visualization are needed to complement other common measures of surgeon proficiency, such as time or errors. Unlike other surgical modalities, robot-assisted minimally invasive surgery (RAMIS) enables data-driven feedback to trainees through measurement of camera adjustments. The purpose of this study was to validate and quantify the importance of novel camera metrics during RAMIS.
New (n = 18), intermediate (n = 8), and experienced (n = 13) surgeons completed 25 virtual reality simulation exercises on the da Vinci Surgical System. Three camera metrics were computed for all exercises and compared to conventional efficiency measures.
Both camera metrics and efficiency metrics showed construct validity (p < 0.05) across most exercises (camera movement frequency 23/25, camera movement duration 22/25, camera movement interval 19/25, overall score 24/25, completion time 25/25). Camera metrics differentiated new and experienced surgeons across all tasks as well as efficiency metrics. Finally, camera metrics significantly (p < 0.05) correlated with completion time (camera movement frequency 21/25, camera movement duration 21/25, camera movement interval 20/25) and overall score (camera movement frequency 20/25, camera movement duration 19/25, camera movement interval 20/25) for most exercises.
We demonstrate construct validity of novel camera metrics and correlation between camera metrics and efficiency metrics across many simulation exercises. We believe camera metrics could be used to improve RAMIS proficiency-based curricula.
手术视野的有效可视化对于手术安全和教育至关重要。然而,需要额外的可视化指标来补充其他衡量外科医生熟练程度的常用指标,如时间或失误。与其他手术方式不同,机器人辅助微创手术(RAMIS)能够通过测量摄像头调整为学员提供数据驱动的反馈。本研究的目的是验证和量化RAMIS期间新型摄像头指标的重要性。
新入职(n = 18)、中级(n = 8)和经验丰富(n = 13)的外科医生在达芬奇手术系统上完成了25次虚拟现实模拟练习。为所有练习计算了三个摄像头指标,并与传统效率指标进行比较。
在大多数练习中,摄像头指标和效率指标均显示出结构效度(p < 0.05)(摄像头移动频率23/25、摄像头移动持续时间22/25、摄像头移动间隔19/25、总分24/25、完成时间25/25)。摄像头指标在所有任务中区分了新入职和经验丰富的外科医生,效率指标也是如此。最后,在大多数练习中,摄像头指标与完成时间(摄像头移动频率21/25、摄像头移动持续时间21/25、摄像头移动间隔20/25)和总分(摄像头移动频率20/25、摄像头移动持续时间19/25、摄像头移动间隔20/25)显著相关(p < 0.05)。
我们证明了新型摄像头指标的结构效度以及在许多模拟练习中摄像头指标与效率指标之间的相关性。我们认为摄像头指标可用于改进基于RAMIS熟练程度的课程。