Sankaranarayanan Ganesh, Li Baichun, Manser Kelly, Jones Stephanie B, Jones Daniel B, Schwaitzberg Steven, Cao Caroline G L, De Suvranu
Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, 110 8th Street, JEC 2049, Troy, NY, 12180, USA.
School of Mechanical Engineering and Automation, Northeastern University, Shenyang, People's Republic of China.
Surg Endosc. 2016 Mar;30(3):979-85. doi: 10.1007/s00464-015-4278-7. Epub 2015 Jun 20.
Surgical performance is affected by distractors and interruptions to surgical workflow that exist in the operating room. However, traditional surgical simulators are used to train surgeons in a skills laboratory that does not recreate these conditions. To overcome this limitation, we have developed a novel, immersive virtual reality (Gen2-VR) system to train surgeons in these environments. This study was to establish face and construct validity of our system.
The study was a within-subjects design, with subjects repeating a virtual peg transfer task under three different conditions: Case I: traditional VR; Case II: Gen2-VR with no distractions and Case III: Gen2-VR with distractions and interruptions. In Case III, to simulate the effects of distractions and interruptions, music was played intermittently, the camera lens was fogged for 10 s and tools malfunctioned for 15 s at random points in time during the simulation. At the completion of the study subjects filled in a 5-point Likert scale feedback questionnaire. A total of sixteen subjects participated in this study.
Friedman test showed significant difference in scores between the three conditions (p < 0.0001). Post hoc analysis using Wilcoxon signed-rank tests with Bonferroni correction further showed that all the three conditions were significantly different from each other (Case I, Case II, p < 0.0001), (Case I, Case III, p < 0.0001) and (Case II, Case III, p = 0.009). Subjects rated that fog (mean 4.18) and tool malfunction (median 4.56) significantly hindered their performance.
The results showed that Gen2-VR simulator has both face and construct validity and that it can accurately and realistically present distractions and interruptions in a simulated OR, in spite of limitations of the current HMD hardware technology.
手术操作会受到手术室中存在的干扰因素和手术流程中断的影响。然而,传统的手术模拟器用于在技能实验室中培训外科医生,而该实验室并未重现这些情况。为克服这一局限性,我们开发了一种新型沉浸式虚拟现实(Gen2-VR)系统,用于在这些环境中培训外科医生。本研究旨在确立我们系统的表面效度和结构效度。
本研究采用被试内设计,让受试者在三种不同条件下重复虚拟栓子转移任务:案例一:传统虚拟现实;案例二:无干扰的Gen2-VR;案例三:有干扰和中断的Gen2-VR。在案例三中,为模拟干扰和中断的影响,在模拟过程中的随机时间点间歇播放音乐,镜头模糊10秒,工具随机故障15秒。研究结束时,受试者填写一份5级李克特量表反馈问卷。共有16名受试者参与了本研究。
弗里德曼检验显示三种条件下的得分存在显著差异(p < 0.0001)。使用带有邦费罗尼校正的威尔科克森符号秩检验进行的事后分析进一步表明,所有三种条件彼此之间均存在显著差异(案例一与案例二,p < 0.0001),(案例一与案例三,p < 0.0001)以及(案例二与案例三,p = 0.009)。受试者认为镜头模糊(平均4.18)和工具故障(中位数4.56)显著妨碍了他们的操作。
结果表明,Gen2-VR模拟器具有表面效度和结构效度,并且尽管当前头戴式设备硬件技术存在局限性,但它能够在模拟手术室中准确、逼真地呈现干扰和中断情况。