A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas | |
Liu, Xing1; Li, Yiming1; Qian, Zenghui1; Sun, Zhiyan1; Xu, Kaibin2; Wang, Kai3; Liu, Shuai1; Fan, Xing1; Li, Shaowu4; Zhang, Zhong5; Jiang, Tao1,5,6,7; Wang, Yinyan5 | |
发表期刊 | NEUROIMAGE-CLINICAL |
ISSN | 2213-1582 |
2018 | |
卷号 | 20页码:1070-1077 |
通讯作者 | Jiang, Tao(taojiang1964@163.com) ; Wang, Yinyan(tiantanyinyan@126.com) |
摘要 | Objective: The aim of this study was to develop a radiomics signature for prediction of progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic background behind the radiomics signature. Methods: In this retrospective study, training (n = 216) and validation (n = 84) cohorts were collected from the Chinese Glioma Genome Atlas and the Cancer Genome Atlas, respectively. For each patient, a total of 431 radiomics features were extracted from preoperative T2-weighted magnetic resonance images. A radiomics signature was generated in the training cohort, and its prognostic value was evaluated in both the training and validation cohorts. The genetic characteristics of the group with high-risk scores were identified by radio-genomic analysis, and a nomogram was established for prediction of PFS. Results: There was a significant association between the radiomics signature (including 9 screened radiomics features) and PFS, which was independent of other clinicopathologic factors in both the training (P < 0.001, multivariable Cox regression) and validation (P = 0.045, multivariable Cox regression) cohorts. Radiogenomic analysis revealed that the radiomics signature was associated with the immune response, programmed cell death, cell proliferation, and vasculature development. A nomogram established using the radiomics signature and clinicopathologic risk factors demonstrated high accuracy and good calibration for prediction of PFS in both the training (C-index, 0.684) and validation (C-index, 0.823) cohorts. Conclusions: PFS can be predicted non-invasively in patients with LGGs by a group of radiomics features that could reflect the biological processes of these tumors. |
关键词 | Radiomic analysis Lower-grade gliomas Progression-free survival Radiogenomics |
DOI | 10.1016/j.nicl.2018.10.014 |
关键词[WOS] | PROGNOSTIC-FACTORS ; IMAGING PREDICTOR ; CT TEXTURE ; FEATURES ; EXPRESSION ; REPRODUCIBILITY ; CLASSIFICATION ; NOMOGRAMS ; BIOMARKER |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[81601452] ; Beijing Natural Science Foundation[7174295] ; National Key Research and Development Plan[2016YFC0902500] ; Capital Medical Development Research Fund[2016-1-1072] ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support[ZYLX201708] ; National Natural Science Foundation of China[81601452] ; Beijing Natural Science Foundation[7174295] ; National Key Research and Development Plan[2016YFC0902500] ; Capital Medical Development Research Fund[2016-1-1072] ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support[ZYLX201708] |
项目资助者 | National Natural Science Foundation of China ; Beijing Natural Science Foundation ; National Key Research and Development Plan ; Capital Medical Development Research Fund ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support |
WOS研究方向 | Neurosciences & Neurology |
WOS类目 | Neuroimaging |
WOS记录号 | WOS:000450799000115 |
出版者 | ELSEVIER SCI LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/25698 |
专题 | 综合信息系统研究中心_脑机融合与认知评估 |
通讯作者 | Jiang, Tao; Wang, Yinyan |
作者单位 | 1.Capital Med Univ, Beijing Neurosurg Inst, 6 Tiantanxili, Beijing 100050, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 3.Capital Med Univ, Beijing Tiantan Hosp, Dept Nucl Med, Beijing, Peoples R China 4.Capital Med Univ, Beijing Neurosurg Inst, Neurol Imaging Ctr, Beijing, Peoples R China 5.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, 6 Tiantanxili, Beijing 100050, Peoples R China 6.Beijing Inst Brain Disorders, Ctr Brain Tumor, Beijing, Peoples R China 7.China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Xing,Li, Yiming,Qian, Zenghui,et al. A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas[J]. NEUROIMAGE-CLINICAL,2018,20:1070-1077. |
APA | Liu, Xing.,Li, Yiming.,Qian, Zenghui.,Sun, Zhiyan.,Xu, Kaibin.,...&Wang, Yinyan.(2018).A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas.NEUROIMAGE-CLINICAL,20,1070-1077. |
MLA | Liu, Xing,et al."A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas".NEUROIMAGE-CLINICAL 20(2018):1070-1077. |
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