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A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
Li, Longfei1,2; Mu, Wei2; Wang, Yaning3; Liu, Zhenyu2; Liu, Zehua1,2; Wang, Yu3; Ma, Wenbin3; Kong, Ziren3; Wang, Shuo2; Zhou, Xuezhi2,4; Wei, Wei2,4,5; Cheng, Xin6; Lin, Yusong1,7; Tian, Jie2,4,8,9
发表期刊FRONTIERS IN ONCOLOGY
ISSN2234-943X
2019-11-14
卷号9页码:11
通讯作者Cheng, Xin(pumch_chengxin@126.com) ; Lin, Yusong(yslin@ha.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn)
摘要Purpose: We aimed to analyze F-18-fluorodeoxyglucose positron emission tomography (F-18-FDG PET) images via the radiomic method to develop a model and validate the potential value of features reflecting glioma metabolism for predicting isocitrate dehydrogenase (IDH) genotype and prognosis. Methods: PET images of 127 patients were retrospectively analyzed. A series of quantitative features reflecting the metabolic heterogeneity of the tumors were extracted, and a radiomic signature was generated using the support vector machine method. A combined model that included clinical characteristics and the radiomic signature was then constructed by multivariate logistic regression to predict the IDH genotype status, and the model was evaluated and verified by receiver operating characteristic (ROC) curves and calibration curves. Finally, Kaplan-Meier curves and log-rank tests were used to analyze overall survival (OS) according to the predicted result. Results: The generated radiomic signature was significantly associated with IDH genotype (p < 0.05) and could achieve large areas under the ROC curve of 0.911 and 0.900 on the training and validation cohorts, respectively, with the incorporation of age and type of tumor metabolism. The good agreement of the calibration curves in the validation cohort further validated the efficacy of the constructed model. Moreover, the predicted results showed a significant difference in OS between high- and low-risk groups (p < 0.001). Conclusions: Our results indicate that the F-18-FDG metabolism-related features could effectively predict the IDH genotype of gliomas and stratify the OS of patients with different prognoses.
关键词F-18-FDG PET radiomics glioma isocitrate dehydrogenase non-invasive prediction
DOI10.3389/fonc.2019.01183
关键词[WOS]GRADE ; CLASSIFICATION ; ASTROCYTOMAS ; DIAGNOSIS ; ONCOLOGY ; SURVIVAL ; FEATURES ; SYSTEM ; ADULTS
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[81772009] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81772012] ; National Natural Science Foundation of China[81227901] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Key Research and Development Plan of China[2016YFA0100900] ; National Key Research and Development Plan of China[2016YFA0100902] ; Scientific and Technological Research Project of Henan Province[182102310162] ; Beijing Natural Science Foundation[7182109] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences[2016-I2M-2-001] ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences[2018-I2M-3-001] ; Fundamental Research Funds for the Central Universities[3332018029] ; Youth Innovation Promotion Association CAS[2019136] ; National Natural Science Foundation of China[81772009] ; National Natural Science Foundation of China[81922040] ; National Natural Science Foundation of China[81772012] ; National Natural Science Foundation of China[81227901] ; National Key Research and Development Plan of China[2017YFA0205200] ; National Key Research and Development Plan of China[2016YFA0100900] ; National Key Research and Development Plan of China[2016YFA0100902] ; Scientific and Technological Research Project of Henan Province[182102310162] ; Beijing Natural Science Foundation[7182109] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences[2016-I2M-2-001] ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences[2018-I2M-3-001] ; Fundamental Research Funds for the Central Universities[3332018029] ; Youth Innovation Promotion Association CAS[2019136]
项目资助者National Natural Science Foundation of China ; National Key Research and Development Plan of China ; Scientific and Technological Research Project of Henan Province ; Beijing Natural Science Foundation ; Chinese Academy of Sciences ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences ; Fundamental Research Funds for the Central Universities ; Youth Innovation Promotion Association CAS
WOS研究方向Oncology
WOS类目Oncology
WOS记录号WOS:000501792200001
出版者FRONTIERS MEDIA SA
七大方向——子方向分类医学影像处理与分析
引用统计
被引频次:28[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/29330
专题中国科学院分子影像重点实验室
通讯作者Cheng, Xin; Lin, Yusong; Tian, Jie
作者单位1.Zhengzhou Univ, Collaborat Innovat Ctr Internet Healthcare, Zhengzhou, Henan, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
3.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Neurosurg, Beijing, Peoples R China
4.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Shaanxi, Peoples R China
5.Xian Polytech Univ, Sch Elect & Informat, Xian, Shaanxi, Peoples R China
6.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Nucl Med, Beijing, Peoples R China
7.Zhengzhou Univ, Sch Software, Zhengzhou, Henan, Peoples R China
8.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
9.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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Li, Longfei,Mu, Wei,Wang, Yaning,et al. A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma[J]. FRONTIERS IN ONCOLOGY,2019,9:11.
APA Li, Longfei.,Mu, Wei.,Wang, Yaning.,Liu, Zhenyu.,Liu, Zehua.,...&Tian, Jie.(2019).A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma.FRONTIERS IN ONCOLOGY,9,11.
MLA Li, Longfei,et al."A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma".FRONTIERS IN ONCOLOGY 9(2019):11.
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