A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
文献类型：期刊论文
| 作者 | Lao, Jiangwei ; Chen, Yinsheng ; Li, Zhi-Cheng ; Li, Qihua ; Zhang, Ji; Liu, Jing ; Zhai, Guangtao |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：深圳先进技术研究院
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