CASIA OpenIR
Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder
Liu, Yaou1,2,3,4; Dong, Di5,6; Zhang, Liwen5,6; Zang, Yali5,6; Duan, Yunyun1,2; Qiu, Xiaolu4; Huang, Jing4; Dong, Huiqing7; Barkhof, Frederik3,8; Hu, Chaoen5,6; Fang, Mengjie5,6; Tian, Jie5,6; Li, Kuncheng1,4
Source PublicationEUROPEAN RADIOLOGY
ISSN0938-7994
2019-09-01
Volume29Issue:9Pages:4670-4677
Corresponding AuthorLiu, Yaou(asiaeurope80@gmail.com) ; Tian, Jie(tian@ieee.org)
AbstractObjective To develop and validate an individual radiomics nomogram for differential diagnosis between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). Methods We retrospectively collected 67 MS and 68 NMOSD with spinal cord lesions as a primary cohort and prospectively recruited 28 MS and 26 NMOSD patients as a validation cohort. Radiomic features were extracted from the spinal cord lesions. A prediction model for differentiating MS and NMOSD was built by combining the radiomic features with several clinical and routine MRI measurements. The performance of the model was assessed with respect to its calibration plot and clinical discrimination in the primary and validation cohorts. Results Nine radiomics features extracted from an initial set of 485, predominantly reflecting lesion heterogeneity, combined with lesion length, patient sex, and EDSS, were selected to build the model for differentiating MS and NMOSD. The areas under the ROC curves (AUC) for differentiating the two diseases were 0.8808 and 0.7115, for the primary and validation cohort, respectively. This model demonstrated good calibration (C-index was 0.906 and 0.802 in primary and validation cohort). Conclusions A validated nomogram that incorporates the radiomic signature of spinal cord lesions, as well as cord lesion length, sex, and EDSS score, can usefully differentiate MS and NMOSD.
KeywordMultiple sclerosis Neuromyelitis optica spectrum disorder Radiomics Nomogram Magnetic resonance imaging
DOI10.1007/s00330-019-06026-w
WOS KeywordSPINAL-CORD ; BRAIN ; MRI ; FEATURES ; NOMOGRAM ; IMAGES ; SEX
Indexed BySCI
Language英语
Funding ProjectECTRIMS-MAGNMIS Fellowship from ECTRIMS ; National Science Foundation of China[81101038] ; National Science Foundation of China[81227901] ; National Science Foundation of China[81771924] ; National Science Foundation of China[81501736] ; National Science Foundation of China[61231004] ; National Science Foundation of China[81401377] ; National Science Foundation of China[81471221] ; National Science Foundation of China[81230028] ; National Basic Research Program of China[2013CB966900] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1308701] ; Beijing Natural Science fund[7133244] ; Beijing Nova Programme[xx2013045] ; Beijing Municipal Administration of Hospital Clinical Medicine Development of Special Funding Support[ZYLX201609] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-SW-STS-160] ; Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period[2012BAI10B04]
Funding OrganizationECTRIMS-MAGNMIS Fellowship from ECTRIMS ; National Science Foundation of China ; National Basic Research Program of China ; National Key R&D Program of China ; Beijing Natural Science fund ; Beijing Nova Programme ; Beijing Municipal Administration of Hospital Clinical Medicine Development of Special Funding Support ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences ; Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000478873300015
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27584
Collection中国科学院自动化研究所
Corresponding AuthorLiu, Yaou; Tian, Jie
Affiliation1.Capital Med Univ, Beijing Tiantan Hosp, Dept Radiol, Beijing 100050, Peoples R China
2.China Natl Clin Res Ctr Neurol Dis, Tiantan Image Res Ctr, Beijing 100050, Peoples R China
3.Vrije Univ Amsterdam, Med Ctr, Dept Radiol & Nucl Med, Neurosci Campus Amsterdam, NL-1007 MB Amsterdam, Netherlands
4.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China
5.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Beijing, Peoples R China
7.Capital Med Univ, Xuanwu Hosp, Dept Neurol, Beijing 100053, Peoples R China
8.UCL, Inst Neurol & Healthcare Engn, London, England
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Yaou,Dong, Di,Zhang, Liwen,et al. Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder[J]. EUROPEAN RADIOLOGY,2019,29(9):4670-4677.
APA Liu, Yaou.,Dong, Di.,Zhang, Liwen.,Zang, Yali.,Duan, Yunyun.,...&Li, Kuncheng.(2019).Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder.EUROPEAN RADIOLOGY,29(9),4670-4677.
MLA Liu, Yaou,et al."Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder".EUROPEAN RADIOLOGY 29.9(2019):4670-4677.
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