Application of 3D-multimodality image reconstruction in orthopedics clinical probation teaching

doi:10.3760/cma.j.issn.1673-677X.2020.01.012

Abstract

Abstract: Objective To evaluate the effect of 3D-multimodality image (3DMMI) reconstruction in orthopedics clinical probation teaching. Methods In February 2017, 90 eight-year program medical students were randomly divided equally into test group that implemented case-based learning (CBL) assisted by 3DMMI and control group that implemented CBL. After class, the in reading pelvic imaging and knowledge of the students in two group were tested. Besides, all 90 students completed questionnaire. Results There were 45 students in each group and their got similar scores in previous clinical course, which imply consistent baseline. Compared with the control group, the students in test group had higher scores for pelvic tumor image reading [(5.69±1.11) vs (6.77±0.93)] and theoretical assessment [(6.46±0.78) vs (7.38±0.87)], all P<0.05; furthermore, they showed higher evaluation and satisfaction to courses and teachers such as the classroom learning interest [(8.46±0.52) vs (7.00±0.58)] and clarity of knowledge teaching [(8.00±0.82) vs (6.77±0.73)], all P<0.05. Conclusions 3DMMI can improve the learning outcomes of clinical medical students, enhance learning interest and improve their learning experience,and then improve the quality of teaching.

Key words: Orthopedics, 3D-multimodality image, Clinical probation, Case-based learning

CLC Number:

Min Li, Fang Xiang, Zhou Yong, Luo Yi, Zhang Wenli, Duan Hong, Li Jian, Zeng Jing, Qing Ping, Tu Chongqi. Application of 3D-multimodality image reconstruction in orthopedics clinical probation teaching[J]. Chinese Journal of Medical Education, 2020, 40(1): 47-50.

References

[1] Paparo F, Piccardo A, Bacigalupo L, et al. Multimodality fusion imaging in abdominal and pelvic malignancies: current applications and future perspectives[J]. Abdom Imaging, 2015, 40(7):2723-2737. DOI: 10.1007/s00261-015-0435-7.
[2]姚原,吴国华,夏士安,等. CT/MRI影像融合对鼻咽癌肿瘤靶区及三维适形治疗影响[J]. 中国癌症杂志, 2006, 16(6): 498-502. DOI: 10.3969/j.issn.1007-3639.2006.06.020.
[3]El NI, Yang D, Apte A, et al. Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning[J]. Med Phys, 2007, 34(12):4738-4749. DOI: 10.1118/1.2799886.
[4]Nowell M, Rodionov R, Zombori G, et al. Utility of 3D multimodality imaging in the implantation of intracranial electrodes in epilepsy[J]. Epilepsia, 2015, 56(3):403-413. DOI: 10.1111/epi.12924.
[5]Mert A, Micko A, Donat M, et al. An advanced navigation protocol for endoscopic transsphenoidal surgery[J]. World Neurosurg, 2014, 82(6 Suppl):S95-105. DOI: 10.1016/j.wneu.2014.07.032.
[6]张清,牛晓辉,王涛,等. 计算机辅助导航技术在骶骨肿瘤外科治疗中的应用[J]. 中华骨科杂志, 2011, 31(6): 640-645. DOI: 10.3760/cma.j.issn.0253-2352.2011.06.015.
[7]Young PS, Bell SW, Mahendra A. The evolving role of computer-assisted navigation in musculoskeletal oncology[J]. Bone Joint J, 2015, 97-B(2):258-264. DOI: 10.1302/0301-620X.97B2.34461.
[8]Fang X, Yu Z, Xiong Y, et al. Improved virtual surgical planning with 3D- multimodality image for malignant giant pelvic tumors[J]. Cancer Manag Res, 2018, 10:6769-6777. DOI: 10.2147/CMAR.S185737.
[9]Girish G, Finlay K, Fessell D, et al. Imaging review of skeletal tumors of the pelvis malignant tumors and tumor mimics[J]. Scientific World Journal, 2012, 2012:240281. DOI: 10.1100/2012/240281.
[10]Cho HS, Park IH, Jeon IH, et al. Direct application of MR images to computer-assisted bone tumor surgery[J]. J Orthop Sci, 2011, 16(2):190-195. DOI: 10.1007/s00776-011-0035-5.
[11]Kijowski R, Davis KW, Woods MA, et al. Knee joint: comprehensive assessment with 3D isotropic resolution fast spin-echo MR imaging--diagnostic performance compared with that of conventional MR imaging at 3.0 T[J]. Radiology, 2009, 252(2):486-495. DOI: 10.1148/radiol.2523090028.

[1]	Wang Chaojun, Liu Zhaohui, Ke Ruisheng. The application of standardized patient during clinical probation in acute abdominal disease in general surgery [J]. Chinese Journal of Medical Education, 2020, 40(9): 700-703.
[2]	Wang Yang, Cao Yu, Zhao Zhigang, Zhang Yan, Qiu Huimin, Liu Jintong. Application of case-based learning method in psychological health education [J]. Chinese Journal of Medical Education, 2020, 40(6): 439-442.
[3]	Han Xue, Yao Maolin, Wang Qi, Ma Lu, Wang Dapeng, Chen Xiong, Zou Zhonglan, Wang Qingling, Hu Ting, Qin Zixiu, Pan Xueli, Hong Feng, Zhang Aihua. Application and effect of case-based inquiry teaching method in toxicology experiment teaching [J]. Chinese Journal of Medical Education, 2020, 40(10): 766-769.
[4]	Dong Dan, Hou Jun, Wang Xiaofang, Chen Xueling. Application of case-based learning in experiment course of medical microbiology [J]. Chinese Journal of Medical Education, 2020, 40(10): 770-773.
[5]	Yuan Yuan, Deng Liping, Tang Hehan, Pan Xuelin, Li Yuming, Wang Ziwei, Qian Lingling, Li Zhenlin. Application of case-based learning method in clinical practice education for medical imaging technology students [J]. Chinese Journal of Medical Education, 2019, 39(8): 590-593.
[6]	Wang Tianci, Liu Yunxia, Lu Danhua, Liu Yuexin. Discussion on the cultivation of critical thinking and independent learning ability of nursing students with CBL and TBL teaching methods [J]. Chinese Journal of Medical Education, 2019, 39(11): 822-826.
[7]	Lu Bingfeng, Li Weixiong, Dai Yi, Song Rui, Guan Xuechun, Zhang Chunfang, Long Liling. Application of combined teaching method in medical imaging teaching [J]. Chinese Journal of Medical Education, 2019, 39(11): 847-850.
[8]	Liu Yangbo, Pan Hao, Wu Peng, Lang Junzhe, Wu Congcong, Jin keke. Application of Kanban network platform in traditional classroom teaching [J]. Chinese Journal of Medical Education, 2019, 39(11): 855-859.
[9]	Gu Honglin, Zhan Shiqiang, Chang Yunbing. Survey of doctor-patient communication status of young doctors and the training model in the department of orthopedics [J]. Chinese Journal of Medical Education, 2018, 38(5): 661-664.
[10]	Yang Xilan, He Huiwei, Lu Xiang, Qu Chen, Jia Jian, Zhan Yiyang. Preliminary application of problem-based learning combined case-based learning teaching methods in standardized training of general practitioners [J]. Chinese Journal of Medical Education, 2018, 38(5): 722-725.
[11]	Zhang Lijuan, Gu Yijun, Zhang Jie, Li Jue. Application of combined teaching method in the teaching reform of epidemiology for clinical medical students [J]. Chinese Journal of Medical Education, 2018, 38(2): 237-241.
[12]	Ao Mingxin, Wang Wei, Li Xuemin, Feng Xuefeng, Qi Hong, Qiu Weiqiang, Hou Zhiqiang, Meng Lu. Practice and effect analysis of case-based learning for ophthalmology teaching in eight-year program medical students [J]. Chinese Journal of Medical Education, 2018, 38(2): 242-245.
[13]	Lu Bing, Xian Aiming, Wang Yue. The exploration of 3D printing technology applied in orthopedic clinical teaching [J]. Chinese Journal of Medical Education, 2018, 38(2): 257-260.
[14]	Wang Xuejing, Zhao Xu, Lyu Wenjuan, Wang Shan, Qu Chenxue, Lu Binghuai, Li Dong, Gong Ke, Wang Shuhua, Zhu Fengxia, Xu Xianfa. CBL combined with PBL teaching method in practice lessons of laboratory diagnostics [J]. Chinese Journal of Medical Education, 2018, 38(2): 272-276.
[15]	Li Jingfeng, Wang Xin, Cai Lin. The application of the formative assessment in orthopedic clinical teaching for undergraduates [J]. Chinese Journal of Medical Education, 2018, 38(2): 308-310.