학술논문
[Educational Impact of Using Three-dimentional Models for Preoperative Simulation of Segmentectomy for Medical Students].
Document Type
Academic Journal
Author
Takamori S; Department of General Thoracic Surgery, Yamagata Prefectural Hospital, Yamagata, Japan.; Nakagami C; Nakatsuka M; Watanabe H; Suzuki J; Endo M; Shiono S
Source
Publisher: Nankodo Country of Publication: Japan NLM ID: 0413533 Publication Model: Print Cited Medium: Print ISSN: 0021-5252 (Print) Linking ISSN: 00215252 NLM ISO Abbreviation: Kyobu Geka Subsets: MEDLINE
Subject
Language
Japanese
ISSN
0021-5252
Abstract
Background: Lung segment anatomy is complex and difficult for medical students to comprehend, so education is a challenging issue. Three-dimensional (3D) models may be a more effective teaching tool for medical students. We evaluated the usefulness of 3D models in education for segmentectomy.
Methods: Sixty-six students who participated in clinical training for thoracic surgery from November 2020 to March 2022 were included in the study. Computed tomography (CT) images, 3D-CT images, and 3D models were used to investigate students' level of understanding for each lung segment. Levels of understanding were assessed using a questionnaire administered using the interview method. The results of the questionnaire were tabulated and analyzed using the Kruskal-Wallis test.
Results: The response rate was 100%. Comprehension scores for all questions were highest for 3D models, followed by 3D-CT and CT. These results suggest that use of a 3D entity model may have a high educational effect.
Conclusion: Although it is unclear whether students' comprehension was directly related to their understanding of correct anatomy, our results suggest that 3D models may be an effective way for medical students to understand lung segmentectomy.
Methods: Sixty-six students who participated in clinical training for thoracic surgery from November 2020 to March 2022 were included in the study. Computed tomography (CT) images, 3D-CT images, and 3D models were used to investigate students' level of understanding for each lung segment. Levels of understanding were assessed using a questionnaire administered using the interview method. The results of the questionnaire were tabulated and analyzed using the Kruskal-Wallis test.
Results: The response rate was 100%. Comprehension scores for all questions were highest for 3D models, followed by 3D-CT and CT. These results suggest that use of a 3D entity model may have a high educational effect.
Conclusion: Although it is unclear whether students' comprehension was directly related to their understanding of correct anatomy, our results suggest that 3D models may be an effective way for medical students to understand lung segmentectomy.