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Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion

文献类型：期刊论文

作者Zhang, Yu1,2; Liang, Kewei2,3,4; He, Jiaqi2,5; Ma, He4; Chen, Hongyan1; Zheng, Fei1; Zhang, Lingling1; Wang, Xinsheng6; Ma, Xibo2,3; Chen, Xuzhu1
刊名FRONTIERS IN ONCOLOGY
出版日期2021-08-18
卷号11页码:9
ISSN号2234-943X
关键词glioblastoma lymphoma tumefactive demyelination differential diagnosis deep learning
DOI10.3389/fonc.2021.665891
通讯作者Wang, Xinsheng(xswang@hit.edu.cn) ; Ma, Xibo(xibo.ma@ia.ac.cn) ; Chen, Xuzhu(radiology888@aliyun.com)
英文摘要Objectives To explore the MRI-based differential diagnosis of deep learning with data enhancement for cerebral glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and tumefactive demyelinating lesion (TDL). Materials and Methods This retrospective study analyzed the MRI data of 261 patients with pathologically diagnosed solitary and multiple cerebral GBM (n = 97), PCNSL (n = 92), and TDL (n = 72). The 3D segmentation model was trained to capture the lesion. Different enhancement data were generated by changing the pixel ratio of the lesion and non-lesion areas. The 3D classification network was trained by using the enhancement data. The accuracy, sensitivity, specificity, and area under the curve (AUC) were used to assess the value of different enhancement data on the discrimination performance. These results were then compared with the neuroradiologists' diagnoses. Results The diagnostic performance fluctuated with the ratio of lesion to non-lesion area changed. The diagnostic performance was best when the ratio was 1.5. The AUCs of GBM, PCNSL, and TDL were 1.00 (95% confidence interval [CI]: 1.000-1.000), 0.96 (95% CI: 0.923-1.000), and 0.954 (95% CI: 0.904-1.000), respectively. Conclusions Deep learning with data enhancement is useful for the accurate identification of GBM, PCNSL, and TDL, and its diagnostic performance is better than that of the neuroradiologists.
WOS关键词BRAIN ; MANAGEMENT ; FEATURES
资助项目National Key Research and Development Program of China[2018YFC0115604] ; National Key Research and Development Program of China[2016YFA0100900] ; National Key Research and Development Program of China[2016YFA0100902] ; National Natural Science Foundation of China[81772005] ; National Natural Science Foundation of China[82090051] ; National Natural Science Foundation of China[81871442] ; Beijing Municipal Science & Technology Commission[Z19110 0006619088] ; Youth Innovation Promotion Association CAS[Y201930] ; Shandong Province Natural Science Foundation[ZR2020KF016]
WOS研究方向Oncology
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000693599700001
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Municipal Science & Technology Commission ; Youth Innovation Promotion Association CAS ; Shandong Province Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/45959]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
通讯作者Wang, Xinsheng; Ma, Xibo; Chen, Xuzhu
作者单位1.Capital Med Univ, Dept Radiol, Beijing Tiantan Hosp, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, CBSR&NLPR, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang, Peoples R China
5.Dalian Med Univ, Sch Stomatol, Dalian, Peoples R China
6.Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weibel, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yu,Liang, Kewei,He, Jiaqi,et al. Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion[J]. FRONTIERS IN ONCOLOGY,2021,11:9.
APA Zhang, Yu.,Liang, Kewei.,He, Jiaqi.,Ma, He.,Chen, Hongyan.,...&Chen, Xuzhu.(2021).Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion.FRONTIERS IN ONCOLOGY,11,9.
MLA Zhang, Yu,et al."Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion".FRONTIERS IN ONCOLOGY 11(2021):9.

入库方式： OAI收割

来源：自动化研究所

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