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Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics

文献类型：期刊论文

作者Zhang, Bin1,2; Ouyang, Fusheng3; Gu, Dongsheng4; Dong, Yuhao5; Zhang, Lu5; Mo, Xiaokai5; Huang, Wenhui5; Zhang, Shuixing1,2
刊名ONCOTARGET
出版日期2017-09-22
卷号8期号:42页码:72457-72465
关键词Imaging Biomarkers Nasopharyngeal Carcinoma Progression Radiomics
DOI10.18632/oncotarget.19799
文献子类Article
英文摘要We aimed to investigate the potential of radiomic features of magnetic resonance imaging (MRI) to predict progression in patients with advanced nasopharyngeal carcinoma (NPC). One hundred and thirteen consecutive patients (01/2007-07/2013) (training cohort: n = 80; validation cohort: n = 33) with advanced NPC were enrolled. A total of 970 initial features were extracted from T2-weighted (T2-w) (n = 485) and contrast-enhanced T1-weighted (CET1-w) MRI (n = 485) for each patient. We used least absolute shrinkage and selection operator (Lasso) method to select features that were most significantly associated with the progression. The selected features were used to construct radiomics-based models and the predictive performance of which were assessed with respect to the area under the curve (AUC). As a result, eight features significantly associated with the progression of advanced NPC were identified. In the training cohort, a radiomic model based on combined CET1-w and T2-w images (AUC: 0.886, 95% CI: 0.815-0.956) demonstrated better prognostic performance than models based on CET1-w (AUC: 0.793, 95% CI: 0.698-0.889) or T2-w images alone (AUC: 0.813, 95% CI: 0.721-0.904). These results were confirmed in the validation cohort. Accordingly, MRI-based radiomic biomarkers present high accuracy in the pre-treatment prediction of progression in advanced NPC.
WOS关键词CELL LUNG-CANCER ; RADIOTHERAPY ; FEATURES ; GLIOBLASTOMA ; RECURRENCE ; IMAGES ; PET
WOS研究方向Oncology ; Cell Biology
语种英语
WOS记录号WOS:000411509400090
资助机构National Scientific Foundation of China(81571664) ; Science and Technology Planning Project of Guangdong Province(2014A020212244 ; 2016A020216020)
源URL[http://ir.ia.ac.cn/handle/173211/20736]  
专题自动化研究所_中国科学院分子影像重点实验室
作者单位1.Jinan Univ, Med Imaging Ctr, Affiliated Hosp 1, Guangzhou, Guangdong, Peoples R China
2.Jinan Univ, Inst Mol & Funct Imaging, Guangzhou, Guangdong, Peoples R China
3.First Peoples Hosp Shunde, Dept Radiol, Foshan, Peoples R China
4.Chinese Acad Sci, Key Lab Mol Imaging, Beijing, Peoples R China
5.Guangdong Acad Med Sci, Dept Radiol, Guangdong Gen Hosp, Guangzhou, Guangdong, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Bin,Ouyang, Fusheng,Gu, Dongsheng,et al. Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics[J]. ONCOTARGET,2017,8(42):72457-72465.
APA Zhang, Bin.,Ouyang, Fusheng.,Gu, Dongsheng.,Dong, Yuhao.,Zhang, Lu.,...&Zhang, Shuixing.(2017).Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics.ONCOTARGET,8(42),72457-72465.
MLA Zhang, Bin,et al."Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics".ONCOTARGET 8.42(2017):72457-72465.

入库方式： OAI收割

来源：自动化研究所

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