Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery | |
Tan, Yan1,2; Zhang, Shuai-tong3,4; Wei, Jing-wei3,4; Dong, Di3; Wang, Xiao-chun1,2; Yang, Guo-qiang1,2; Tian, Jie3; Zhang, Hui1,2 | |
发表期刊 | EUROPEAN RADIOLOGY |
ISSN | 0938-7994 |
2019-07-01 | |
卷号 | 29期号:7页码:3325-3337 |
摘要 | ObjectivesTo develop and validate a radiomics nomogram to preoperative prediction of isocitrate dehydrogenase (IDH) genotype for astrocytomas, which might contribute to the pretreatment decision-making and prognosis evaluating.MethodsOne hundred five astrocytomas (Grades II-IV) with contrast-enhanced T1-weighted imaging (CE-T1WI), T2 fluid-attenuated inversion recovery (T2FLAIR), and apparent diffusion coefficient (ADC) map were enrolled in this study (training cohort: n=74; validation cohort: n=31). IDH1/2 genotypes were determined using Sanger sequencing. A total of 3882 radiomics features were extracted. Support vector machine algorithm was used to build the radiomics signature on the training cohort. Incorporating radiomics signature and clinico-radiological risk factors, the radiomics nomogram was developed. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess these models. Kaplan-Meier survival analysis and log rank test were performed to assess the prognostic value of the radiomics nomogram.ResultsThe radiomics signature was built by six selected radiomics features and yielded AUC values of 0.901 and 0.888 in the training and validation cohorts. The radiomics nomogram based on the radiomics signature and age performed better than the clinico-radiological model (training cohort, AUC=0.913 and 0.817; validation cohort, AUC=0.900 and 0.804). Additionally, the survival analysis showed that prognostic values of the radiomics nomogram and IDH genotype were similar (log rank test, p<0.001; C-index=0.762 and 0.687; z-score test, p=0.062).ConclusionsThe radiomics nomogram might be a useful supporting tool for the preoperative prediction of IDH genotype for astrocytoma, which could aid pretreatment decision-making.Key Points center dot The radiomics signature based on multiparametric and multiregional MRI images could predict IDH genotype of Grades II-IV astrocytomas.center dot The radiomics nomogram performed better than the clinico-radiological model, and it might be an easy-to-use supporting tool for IDH genotype prediction.center dot The prognostic value of the radiomics nomogram was similar with that of the IDH genotype, which might contribute to prognosis evaluating. |
关键词 | Astrocytoma Radiomics Nomogram Isocitrate dehydrogenase Survival |
DOI | 10.1007/s00330-019-06056-4 |
关键词[WOS] | GENOMIC ANALYSIS ; MUTATION ; GLIOMA ; FEATURES ; MRI |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Natural Science Foundation of Shanxi Province[201601D021162] ; Natural Science Foundation of Shanxi Province[201601D021162] ; Social Development Projects of Key R&D Program in Shanxi Province[201703D321016] ; Social Development Projects of Key R&D Program in Shanxi Province[201703D321016] ; Precision Medicine Key Innovation Team Project[YT1601] ; Precision Medicine Key Innovation Team Project[YT1601] ; National Natural Science Foundation[11705112] ; National Natural Science Foundation[11705112] ; National Natural Science Foundation[81501616] ; National Natural Science Foundation[81501616] ; National Natural Science Foundation[81771924] ; National Natural Science Foundation[81771924] ; National Natural Science Foundation[81701681] ; National Natural Science Foundation[81701681] ; National Natural Science Foundation[81671851] ; National Natural Science Foundation[81671851] ; National Natural Science Foundation[61231004] ; National Natural Science Foundation[61231004] ; National Natural Science Foundation[81527805] ; National Natural Science Foundation[81527805] ; National Natural Science Foundation[81227901] ; National Natural Science Foundation[81227901] ; National Natural Science Foundation[81771824] ; National Natural Science Foundation[81771824] ; National Natural Science Foundation[81471652] ; National Natural Science Foundation[81471652] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1309100] ; National Natural Science Foundation[81471652] ; National Natural Science Foundation[81471652] ; National Natural Science Foundation[81771824] ; National Natural Science Foundation[81771824] ; National Natural Science Foundation[81227901] ; National Natural Science Foundation[81227901] ; National Natural Science Foundation[81527805] ; National Natural Science Foundation[81527805] ; National Natural Science Foundation[61231004] ; National Natural Science Foundation[61231004] ; National Natural Science Foundation[81671851] ; National Natural Science Foundation[81671851] ; National Natural Science Foundation[81701681] ; National Natural Science Foundation[81701681] ; National Natural Science Foundation[81771924] ; National Natural Science Foundation[81771924] ; National Natural Science Foundation[81501616] ; National Natural Science Foundation[81501616] ; National Natural Science Foundation[11705112] ; National Natural Science Foundation[11705112] ; Precision Medicine Key Innovation Team Project[YT1601] ; Precision Medicine Key Innovation Team Project[YT1601] ; Social Development Projects of Key R&D Program in Shanxi Province[201703D321016] ; Social Development Projects of Key R&D Program in Shanxi Province[201703D321016] ; Natural Science Foundation of Shanxi Province[201601D021162] ; Natural Science Foundation of Shanxi Province[201601D021162] |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000470679400001 |
出版者 | SPRINGER |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/24415 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie; Zhang, Hui |
作者单位 | 1.Shanxi Med Univ, Hosp 1, Dept Radiol, Taiyuan 030001, Shanxi, Peoples R China 2.Shanxi Med Univ, Dept Med Imaging, Taiyuan 030001, Shanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100080, Peoples R China |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Tan, Yan,Zhang, Shuai-tong,Wei, Jing-wei,et al. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery[J]. EUROPEAN RADIOLOGY,2019,29(7):3325-3337. |
APA | Tan, Yan.,Zhang, Shuai-tong.,Wei, Jing-wei.,Dong, Di.,Wang, Xiao-chun.,...&Zhang, Hui.(2019).A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.EUROPEAN RADIOLOGY,29(7),3325-3337. |
MLA | Tan, Yan,et al."A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery".EUROPEAN RADIOLOGY 29.7(2019):3325-3337. |
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