期刊
JOURNAL OF SURGICAL EDUCATION
卷 73, 期 3, 页码 518-523出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jsurg.2016.01.003
关键词
rendered image; 3-dimensional printing; preoperative planning; simulation; surgical education
资金
- Science and Technology Research Foundation of Zhejiang Province, China [2014C04008-1]
INTRODUCTION: Correct interpretation of a patient's anatomy and changes that occurs secondary to a disease process are crucial in the preoperative process to ensure optimal surgical treatment. In this study, we presented 3 different pancreatic cancer cases to surgical residents in the form of 3D-rendered images and 3D-printed models to investigate which modality resulted in the most appropriate preoperative plan. METHODS: We selected 3 cases that would require significantly different preoperative plans based on key features identifiable in the preoperative computed tomography imaging 3D volume rendering and 3D printing were performed respectively to create 2 different training ways. A total of 30, year 1 surgical residents were randomly divided into 2 groups. Besides traditional 2D computed tomography images, residents in group A (n = 15) reviewed 3D computer models, whereas in group B, residents (n = 15) reviewed 3D-printed models. Both groups subsequently completed an examination, designed in-house, to assess the appropriateness of their preoperative plan and provide a numerical score of the quality of the surgical plan. RESULTS: Residents in group B showed significantly higher quality of the surgical plan scores compared with residents in group A (76.4 +/- 10.5 vs. 66.5 +/- 11.2, p = 0.018). This difference was due in large part to a significant difference in knowledge of key surgical steps (22.1 +/- 2.9 vs. 17.4 +/- 4.2, p = 0.004) between each group. All participants reported a high level of satisfaction with the exercise. CONCLUSION: Results from this study support our hypothesis that 3D-printed models improve the quality of surgical trainee's preoperative plans. (C) 2016 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.
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