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Published in: Journal of Robotic Surgery 1/2019

01-02-2019 | Original Article

3D-printed model improves clinical assessment of surgeons on anatomy

Authors: Bin Zheng, Xiaolin Wang, Yixiong Zheng, Jiexiong Feng

Published in: Journal of Robotic Surgery | Issue 1/2019

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Abstract

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 2 × 2 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.
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Metadata
Title
3D-printed model improves clinical assessment of surgeons on anatomy
Authors
Bin Zheng
Xiaolin Wang
Yixiong Zheng
Jiexiong Feng
Publication date
01-02-2019
Publisher
Springer London
Published in
Journal of Robotic Surgery / Issue 1/2019
Print ISSN: 1863-2483
Electronic ISSN: 1863-2491
DOI
https://doi.org/10.1007/s11701-018-0809-2

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