Title
When to Introduce Three-Dimensional Visualization Technology into Surgical Residency: A Randomized Controlled Trial.
Abstract
Three-dimensional (3D) reconstructed images have been increasingly applied for medical education. Although many studies have described the benefits of such applications, the best time to introduce 3D technology into surgical training has not been determined. Therefore, we conducted a randomized study to determine a suitable period for the introduction of this technology. Seventy-one surgical residents were randomized into 2 groups (two-dimensional computed tomography (CT) group and 3D image group), and they completed a test on anatomy and imaging as well as a questionnaire. Post-graduate year 1 (PGY1) residents in the 3D group performed significantly better than those in the CT group, although the third-year residents did not present significant differences in either the score or the time spent answering the questions. Although residents in different years of training held different attitudes toward the difficulty of anatomy and imaging learning, they all showed a high level of acceptance of the 3D training. This study revealed that 3D images improved the junior residents' performance in imaging reasoning. Thus, systematically introducing 3D images early in a surgical resident training program may help produce a better anatomy-imaging-surgery system.
Year
DOI
Venue
2019
10.1007/s10916-019-1157-0
Journal of medical systems
Keywords
Field
DocType
3D technology,Anatomy-imaging-surgery system,Residency training
Data mining,Visualization,Randomized controlled trial,Training program,Computed tomography,Medical physics,Surgical training,Medicine,3d image
Journal
Volume
Issue
ISSN
43
3
1573-689X
Citations 
PageRank 
References 
0
0.34
0
Authors
15
Name
Order
Citations
PageRank
Chen Lin100.34
Junyi Gao200.34
Hua Zheng3195.53
Jun Zhao400.34
Hua Yang500.34
Yue Zheng67010.70
Yihan Cao700.34
Yufei Chen832233.06
Guoliang Wu900.34
Guole Lin1000.34
Jianchun Yu1100.34
Hanzhong Li1200.34
hui pan1321.74
Quan Liao14272.80
Yupei Zhao1520.69