Rabin Yoed, Shimada Kenji, Joshi Purva, Sehrawat Anjali, Keelan Robert, Wilfong Dona M, McCormick James T
Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213.
The STAR Center, Allegheny Health Network, 4900 Friendship Avenue, Pittsburgh, PA 15224.
Proc SPIE Int Soc Opt Eng. 2017 Jan 28;10066. doi: 10.1117/12.2257151. Epub 2017 Feb 22.
This paper focuses on the evaluation of a prototype for a computer-based tutoring system for prostate cryosurgery, while reviewing its key building blocks and their benchmark performance. The tutoring system lists geometrical constraints of cryoprobe placement, displays a rendered shape of the prostate, simulates cryoprobe insertion, enables distance measurements, simulates the corresponding thermal history, and evaluates the mismatch between the target region shape and a pre-selected planning isotherm. The quality of trainee planning is measured in comparison with a computer-generated plan, created for each case study by a previously developed planning algorithm, known as bubble-packing. While the tutoring level in this study aims only at geometrical constraints on cryoprobe placement and the resulting thermal history, it creates a unique opportunity to gain insight into the process outside of the operation room. System validation of the tutor has been performed by collecting training data from surgical residents, having no prior experience or advanced knowledge of cryotherapy. Furthermore, the system has been evaluated by graduate engineering students having no formal education in medicine. In terms of match between a planning isotherm and the target region shape, results demonstrate medical residents' performance improved from 4.4% in a pretest to 37.8% in a posttest over a course of 50 minutes of training (within 10% margins from a computer-optimized plan). Comparing those results with the performance of engineering students indicates similar results, suggesting that planning of the cryoprobe layout essentially revolves around geometric considerations.
本文重点评估一种用于前列腺冷冻手术的计算机辅助教学系统原型,同时回顾其关键组成部分及其基准性能。该教学系统列出了冷冻探针放置的几何约束条件,显示前列腺的渲染形状,模拟冷冻探针插入,进行距离测量,模拟相应的热历史,并评估目标区域形状与预先选定的规划等温线之间的不匹配。通过与计算机生成的计划进行比较来衡量学员规划的质量,该计算机生成的计划是针对每个案例研究由先前开发的称为气泡包装的规划算法创建的。虽然本研究中的教学水平仅针对冷冻探针放置的几何约束条件以及由此产生的热历史,但它为深入了解手术室之外的过程创造了独特的机会。通过收集外科住院医师的培训数据对该教学系统进行了验证,这些住院医师此前没有冷冻治疗的经验或高级知识。此外,该系统还由没有医学正规教育背景的工科研究生进行了评估。就规划等温线与目标区域形状之间的匹配而言,结果表明,在50分钟的培训过程中,医学住院医师的表现从预测试中的4.4%提高到了后测试中的37.8%(与计算机优化计划的偏差在10%以内)。将这些结果与工科学生的表现进行比较,结果相似,这表明冷冻探针布局的规划基本上围绕几何因素展开。