A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.

	A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
	Lao, Jiangwei ; Chen, Yinsheng ; Li, Zhi-Cheng ; Li, Qihua ; Zhang, Ji; Liu, Jing ; Zhai, Guangtao
刊名	SCIENTIFIC REPORTS
	2017
文献子类	期刊论文
英文摘要	Traditional radiomics models mainly rely on explicitly-designed handcrafted features from medical images. This paper aimed to investigate if deep features extracted via transfer learning can generate radiomics signatures for prediction of overall survival (OS) in patients with Glioblastoma Multiforme (GBM). This study comprised a discovery data set of 75 patients and an independent validation data set of 37 patients. A total of 1403 handcrafted features and 98304 deepfeatures were extracted from preoperative multi-modality MR images. After feature selection, a six-deep-feature signature was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression model. A radiomics nomogram was further presented by combining the signature and clinical risk factors such as age and Karnofsky Performance Score. Compared with traditional risk factors, the proposed signature achieved better performance for prediction of OS (C-index = 0.710, 95% CI: 0.588, 0.932) and significant stratification of patients into prognostically distinct groups (P < 0.001, HR = 5.128, 95% CI: 2.029, 12.960). The combined model achieved improved predictive performance (C-index = 0.739). Our study demonstrates that transfer learning-based deep features are able to generate prognostic imaging signature for OS prediction and patient stratification for GBM, indicating the potential of deepimaging feature-based biomarker in preoperative care of GBM patients.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11991]
专题	深圳先进技术研究院_医工所
作者单位	SCIENTIFIC REPORTS
推荐引用方式 GB/T 7714	Lao, Jiangwei , Chen, Yinsheng , Li, Zhi-Cheng ,et al. A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.[J]. SCIENTIFIC REPORTS,2017.
APA	Lao, Jiangwei ., Chen, Yinsheng ., Li, Zhi-Cheng ., Li, Qihua ., Zhang, Ji.,...& Zhai, Guangtao.(2017).A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme..SCIENTIFIC REPORTS.
MLA	Lao, Jiangwei ,et al."A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.".SCIENTIFIC REPORTS (2017).