Henn Patrick, Gallagher Anthony G, Nugent Emmeline, Cowie Roddy, Seymour Neal E, Haluck Randy S, Hseino Hazem, Traynor Oscar, Neary Paul C
ASSERT Centre, Brookfield Health Sciences Complex, University College Cork, Cork, Ireland.
ASSERT Centre, Brookfield Health Sciences Complex, University College Cork, Cork, Ireland; National Surgical Training Centre, Royal College of Surgeons in Ireland, Dublin 2, Ireland.
Am J Surg. 2017 Nov;214(5):969-973. doi: 10.1016/j.amjsurg.2017.01.025. Epub 2017 Feb 14.
The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores.
400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards.
Complete data was available on 396 of 400 subjects (99%). PicSOr demonstrated high test and re-test reliability (r = 0.807, p < 0.000). Surgeons performed better than controls' (surgeons = 0.874 V controls = 0.747, p < 0.000). Some surgeons (n = 22-5.5%) performed atypically on the test.
PicSOr has population distribution scores that are negatively skewed. PicSOr quantitatively characterises an aptitude strongly correlated to the learning and performance of image guided medical tasks. Most can do the PicSOr task almost perfectly, but a substantial minority do so atypically, and this is probably relevant to learning and performing endoscopic tasks.
在图像引导的内镜和腹腔镜手术中,从二维监视器显示屏推断三维结构(如内部器官)形状的能力因人而异。我们旨在验证一种计算机生成的评估该能力的任务——图形表面定向(PicSOr),并确定常模参照分数。
400名受试者(339名外科医生和61名对照者)完成了PicSOr测试。50名受试者在一年后再次完成该测试。
400名受试者中有396名(99%)获得了完整数据。PicSOr显示出较高的测试和重测信度(r = 0.807,p < 0.000)。外科医生的表现优于对照者(外科医生 = 0.874,对照者 = 0.747,p < 0.000)。一些外科医生(n = 22,占5.5%)在测试中的表现不典型。
PicSOr的总体分布分数呈负偏态。PicSOr定量表征了一种与图像引导医疗任务的学习和表现密切相关的能力。大多数人几乎可以完美地完成PicSOr任务,但有相当一部分人表现不典型,这可能与内镜任务的学习和执行有关。