中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images

文献类型:期刊论文

作者Sun, Kai2,6; Liu, Zhenyu6; Li, Yiming5; Wang, Lei5; Tang, Zhenchao4,6; Wang, Shuo4,6; Zhou, Xuezhi2,6; Shao, Lizhi3,6; Sun, Caixia6,7; Liu, Xing5
刊名FRONTIERS IN ONCOLOGY
出版日期2020-07-08
卷号10页码:8
ISSN号2234-943X
关键词low-grade glioma epilepsy radiomics elastic net Cox regression
DOI10.3389/fonc.2020.01096
通讯作者Wang, Yinyan(tiantanyinyan@126.com) ; Tian, Jie(jie.tian@ia.ac.cn)
英文摘要Purpose:The present study aimed to evaluate the performance of radiomics features in the preoperative prediction of epileptic seizure following surgery in patients with LGG. Methods:This retrospective study collected 130 patients with LGG. Radiomics features were extracted from the T2-weighted MR images obtained before surgery. Multivariable Cox-regression with two nested leave-one-out cross validation (LOOCV) loops was applied to predict the prognosis, and elastic net was used in each LOOCV loop to select the predictive features. Logistic models were then built with the selected features to predict epileptic seizures at two time points. Student'st-tests were then used to compare the logistic model predicted probabilities of developing epilepsy in the epilepsy and non-epilepsy groups. Thet-test was used to identify features that differentiated patients with early-onset epilepsy from their late-onset counterparts. Results:Seventeen features were selected with the two nested LOOCV loops. The index of concordance (C-index) of the Cox model was 0.683, and the logistic model predicted probabilities of seizure were significantly different between the epilepsy and non-epilepsy groups at each time point. Moreover, one feature was found to be significantly different between the patients with early- or late-onset epilepsy. Conclusion:A total of 17 radiomics features were correlated with postoperative epileptic seizures in patients with LGG and one feature was a significant predictor of the time of epilepsy onset.
WOS关键词MULTIVARIATE PATTERN-ANALYSIS ; BRAIN-TUMORS ; SURVIVAL ; PROPHYLAXIS ; PREDICTION ; REGRESSION ; RISK
资助项目National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81772012] ; Beijing Natural Science Foundation[7182109] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFA0700401] ; National Key R&D Program of China[2016YFA0100902] ; Strategic Priority Research Programof Chinese Academy of Sciences[XDB32030200] ; Strategic Priority Research Programof Chinese Academy of Sciences[XDB01030200] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[SFH 2018-2-1072] ; Youth Innovation Promotion Association CAS[2019136]
WOS研究方向Oncology
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000553869300001
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation ; National Key R&D Program of China ; Strategic Priority Research Programof Chinese Academy of Sciences ; Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS
源URL[http://ir.ia.ac.cn/handle/173211/40295]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Wang, Yinyan; Tian, Jie
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian, Peoples R China
3.Southeast Univ, Sch Comp Sci & Engn, Nanjing, Peoples R China
4.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
5.Capital Med Univ, Beijing Tiantan Hosp, Beijing, Peoples R China
6.Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
7.Guizhou Univ, Sch Comp Sci & Technol, Key Lab Intelligent Med Image Anal & Precise Diag, Guiyang, Peoples R China
推荐引用方式
GB/T 7714
Sun, Kai,Liu, Zhenyu,Li, Yiming,et al. Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images[J]. FRONTIERS IN ONCOLOGY,2020,10:8.
APA Sun, Kai.,Liu, Zhenyu.,Li, Yiming.,Wang, Lei.,Tang, Zhenchao.,...&Tian, Jie.(2020).Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images.FRONTIERS IN ONCOLOGY,10,8.
MLA Sun, Kai,et al."Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images".FRONTIERS IN ONCOLOGY 10(2020):8.

入库方式: OAI收割

来源:自动化研究所

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