3D-printed model improves clinical assessment of surgeons on anatomy
3D-printed model improves clinical assessment of surgeons on anatomy
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DOI：
10.1007/s11701-018-0809-2
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发表时间：
2019-02-01
影响因子：
2.3
通讯作者：
Feng, Jiexiong
中科院分区：
文献类型：
--
作者：
Zheng, Bin;Wang, Xiaolin;Feng, Jiexiong
执行外科手术通常需要外科医生发展在患者解剖结构上创建三维（3D）心理模型的技能。问题仍然是触摸3D打印模型是否比查看渲染的虚拟屏幕模型更有助于了解患者解剖结构。打印和虚拟3D模型是根据一名4岁女孩的CT片开发的，该女孩左髋关节发育不良。11名受试者被要求报告髋关节六个关键解剖特征的测量结果。比较了两种模型的报告时间和准确性，沿着受试者检查模型时的注视特征。使用2x2受试者内ANOVA分析变量，以检查查看模型（屏幕上vs.打印）和髋关节侧（右侧vs.左侧）之间的差异。与打印的3D模型交互需要更短的时间，并且在大多数解剖特征上比查看虚拟模型产生更准确的视觉判断。受试者进行了较少的固定次数，但与检查虚拟屏幕上的3D模型时，打印互动的平均固定时间较长。结果证实了打印的3D模型在改善对患者解剖结构的临床判断方面的价值。从物理世界收集信息的信心和跨模型传感器集成可以解释为什么与虚拟模型相比，参与者使用打印模型表现更好。
Performing surgical procedures often requires a surgeon to develop a skill to create 3-dimensional (3D) mental model on patient's anatomy. Question remains whether the touching on the 3D printed model can facilitate learning of patient anatomy than viewing the rendered virtual on-screen model. The printed and the virtual 3D model were developed from CT films taken from a 4-year-old girl, who had dysplasia of the hip in the left hip. Eleven subjects were called to report measures on six key anatomical features on the hips. The reporting time and the accuracy were compared between the two models, along with the gaze characteristics of subjects while inspecting the models. The variables were analysed using a 2x2 within subject ANOVA to examine the difference between viewing the models (on-screen vs. printed-out) and the side of the hip (right vs. left). Interacting with the printed 3D model required shorter times and yielded more accurate visual judgments than viewing the virtual models on most of the anatomical features. Subjects performed a fewer number of fixations but with a longer mean fixation duration when interacting the printed than inspecting the virtual on-screen 3D model. Results confirmed the value of the printed 3D model on improving the clinical judgement on patient anatomy. Confidence in collecting information from the physical world and the cross-model sensor integration may explain why participants performed better with the printed model compared to the virtual model.