Chinese Journal of Medical Education ›› 2023, Vol. 43 ›› Issue (11): 824-828.DOI: 10.3760/cma.j.cn115259-20221208-01538

Previous Articles     Next Articles

Application of 3D virtual image reconstruction technology in the teaching of acoustic neuroma of undergraduates major in medical imaging technology

Huang Huimin1, Li Jing2, Zheng Shaowei3, Ji Xiaodong2, Shi Xiang2, Yu Ying2, Li Xiaotian2, Wang Huapeng2, Zhang Yuhang2, Liu Lihua2   

  1. 1Department of Radiology, Tianjin Huang He Hospital, Tianjin 300110, China;
    2Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China;
    3Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
  • Received:2022-12-08 Online:2023-11-01 Published:2023-10-31
  • Contact: Liu Lihua, Email: liulihua222@nankai.edu.cn
  • Supported by:
    Tianjin Key Medical Discipline (Specialty) Construction Project (TJYXZDXK-041A); Chunmiao Project of Tianjin First Central Hospital in 2019(2019CM08)

Abstract: Acoustic neuroma is one of the most common intracranial tumors. The complex spatial adjacency between the tumor and the nerves and vessels is the focus of preoperative assessment and also a major difficulty in the teaching of diagnostic medical imaging. An online learning WeChat quizzes applet were developed for this study. The MR images of neuroma patients were converted and implanted into the applet based on 3D virtual image reconstruction technology. From March 2021 to June 2022, it was used in the teaching of diagnostic medical imaging for eight fourth-year undergraduate students majored in medical imaging technology at Tianjin Medical University. The time spent for the students to learn the adjacency of the acoustic neuroma on 2D planar thin-slice images, 3D virtual pictures and 3D virtual videos, the level of understanding satisfaction with the spatial adjacency and the accuracy were compared to evaluate the teaching effectiveness. The Kruskal-Wallis H test was performed on the data and Bonferroni correction was used for pairwise comparison. The students′ learning time for 3D virtual videos, 3D virtual pictures and 2D planar thin-layer images was 28(23,61), 38(28,69) and 31(27,122) seconds, respectively, and the level of understanding satisfaction with the spatial adjacency was 5(4,6), 4(4,6) and 4(3,6), respectively, and all differences were statistically significant (all P<0.05). The accuracy was 55.6%(37.5%,65.6%), 52.8%(37.5%,62.5%) and 52.8%(37.5%,60.0%) and there was no statistical difference (P=0.547). Thus, the use of 3D virtual video in medical imaging teaching for acoustic neuroma can augment the students′ satisfaction levels and enhance the teaching effect by reducing learning time without compromising accuracy.

Key words: Acoustic neuroma, Diagnostic medical imaging, Medical imaging technology, Spatial adjacency, Teaching effect, Wechat applet

CLC Number: