Radiomics models based on cortical damages for identification of multiple sclerosis with cognitive impairment

作者全名："Yan, Zichun; Yuan, Shiqi; Zhu, Qiyuan; Wang, Xiaohua; Shi, Zhuowei; Zhang, Yu; Liu, Jie; Feng, Jinzhou; Wei, Yiqiu; Yin, Feiyue; Chen, Shanxiong; Li, Yongmei"

作者地址："[Yan, Zichun; Zhu, Qiyuan; Shi, Zhuowei; Wei, Yiqiu; Yin, Feiyue; Li, Yongmei] Chongqing Med Univ, Dept Radiol, Affiliated Hosp 1, Chongqing, Peoples R China; [Yuan, Shiqi; Zhang, Yu; Liu, Jie; Chen, Shanxiong] Southwest Univ, Dept Comp Sci, Chongqing, Peoples R China; [Wang, Xiaohua] Chongqing Med Univ, Coll Med Informat, Chongqing, Peoples R China; [Feng, Jinzhou] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing, Peoples R China"

通信作者："Li, YM (通讯作者)，Chongqing Med Univ, Dept Radiol, Affiliated Hosp 1, Chongqing, Peoples R China.; Chen, SX (通讯作者)，Southwest Univ, Dept Comp Sci, Chongqing, Peoples R China."

来源：MULTIPLE SCLEROSIS AND RELATED DISORDERS

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:001135420100001

JCR分区：Q2

影响因子：4

年份：2024

卷号：81

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Multiple sclerosis; Cognitive impairment; Cortical damages; Radiomics

摘要："Background: Cognitive impairment (CI) is a common symptom in multiple sclerosis (MS) patients. Cortical damages can be closely associated with cognitive network dysfunction and clinically significant CI in MS. So, in this study, We aimed to develop a radiomics model to efficiently identify the MS patients with CI based on clinical data and cortical damages. Methods: One hundred and eighteen patients with MS were divided into CI and normal cognitive (NC) cohorts (62/56) as defined by the Montreal Cognitive Assessment (MoCA). All participants were randomly divided into train and test sets with a ratio of 7:3. The radiomic features were selected by using the least absolute shrinkage and selection operator (LASSO) method. The discrimination models were built with the support vector machines (SVM) by the clinical data, radiomic features, and merge data, respectively. And the patients were further divided according to each cognitive domain including memory, visuospatial, language, attention and executive, and each domain model was applied by the most suitable classifier. Results: A total of 2298 features were extracted, of which 36 were finally selected. The merge model showed the greatest performance with the area under the curve (AUC) of 0.86 (95 % confidence interval: 0.81-0.91), accuracy (ACC) of 0.78, sensitivity of 0.79 and specificity of 0.77 in test cohort. However, although the visuospatial domain model showed the highest AUC of 0.71 (95 % confidence interval: 0.61-0.81) among five domain models, other domain models did not meet satisfactory results with a relatively low AUC, ACC, sensitivity and specificity. Conclusions: The radiomics model based on clinical data and cortical damages had a great potential to identify the MS patients with CI for clinical cognitive assessment."

基金机构：Application Development of Chongqing Science and Technology Bureau [CSTC2021 jscx-gksb-N0008]; Key Project of Chongqing Science and Health Joint Medical Research Project [2023ZDXM006]; Doctoral Program of the First Affiliated Hospital of Chongqing Medical University [CYYY-BSYJSCXXM-202311]

基金资助正文："and Application Development of Chongqing Science and Technology Bureau (CSTC2021 jscx-gksb-N0008) , the Key Project of Chongqing Science and Health Joint Medical Research Project (2023ZDXM006) and the Doctoral Program of the First Affiliated Hospital of Chongqing Medical University (CYYY-BSYJSCXXM-202311) ."