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