Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics | |
Zhang, Bin1,2; Ouyang, Fusheng3; Gu, Dongsheng4; Dong, Yuhao5; Zhang, Lu5; Mo, Xiaokai5; Huang, Wenhui5; Zhang, Shuixing1,2 | |
发表期刊 | ONCOTARGET |
2017-09-22 | |
卷号 | 8期号:42页码:72457-72465 |
文章类型 | Article |
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. |
关键词 | Imaging Biomarkers Nasopharyngeal Carcinoma Progression Radiomics |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
DOI | 10.18632/oncotarget.19799 |
关键词[WOS] | CELL LUNG-CANCER ; RADIOTHERAPY ; FEATURES ; GLIOBLASTOMA ; RECURRENCE ; IMAGES ; PET |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Scientific Foundation of China(81571664) ; Science and Technology Planning Project of Guangdong Province(2014A020212244 ; 2016A020216020) |
WOS研究方向 | Oncology ; Cell Biology |
WOS类目 | Oncology ; Cell Biology |
WOS记录号 | WOS:000411509400090 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/20736 |
专题 | 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. |
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