Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context

To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in 1591 consecutive patients. A radiomics signatur...

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Main Authors: Yuming Jiang, Chuanli Chen, Jingjing Xie, Wei Wang, Xuefan Zha, Wenbing Lv, Hao Chen, Yanfeng Hu, Tuanjie Li, Jiang Yu, Zhiwei Zhou, Yikai Xu, Guoxin Li
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:EBioMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396418303645
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language English
format Article
sources DOAJ
author Yuming Jiang
Chuanli Chen
Jingjing Xie
Wei Wang
Xuefan Zha
Wenbing Lv
Hao Chen
Yanfeng Hu
Tuanjie Li
Jiang Yu
Zhiwei Zhou
Yikai Xu
Guoxin Li
spellingShingle Yuming Jiang
Chuanli Chen
Jingjing Xie
Wei Wang
Xuefan Zha
Wenbing Lv
Hao Chen
Yanfeng Hu
Tuanjie Li
Jiang Yu
Zhiwei Zhou
Yikai Xu
Guoxin Li
Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
EBioMedicine
author_facet Yuming Jiang
Chuanli Chen
Jingjing Xie
Wei Wang
Xuefan Zha
Wenbing Lv
Hao Chen
Yanfeng Hu
Tuanjie Li
Jiang Yu
Zhiwei Zhou
Yikai Xu
Guoxin Li
author_sort Yuming Jiang
title Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
title_short Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
title_full Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
title_fullStr Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
title_full_unstemmed Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context
title_sort radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerresearch in context
publisher Elsevier
series EBioMedicine
issn 2352-3964
publishDate 2018-10-01
description To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in 1591 consecutive patients. A radiomics signature was generated by using the Lasso-Cox regression model in 228 patients and validated in internal and external validation cohorts. Radiomics nomograms integrating the radiomics signature were constructed, demonstrating the incremental value of the radiomics signature to the traditional staging system for individualized survival estimation. The performance of the nomograms was assessed with respect to calibration, discrimination, and clinical usefulness. The radiomics signature consisted of 19 selected features and was significantly associated with DFS (disease-free survival) and OS (overall survival). Multivariate analysis demonstrated that the radiomics signature was an independent prognostic factor. Incorporating the radiomics signature into the radiomics-based nomograms resulted in better performance for the estimation of DFS and OS than the clinicopathological nomograms and TNM staging system, with improved accuracy of the classification of survival outcomes. Further analysis showed that stage II and III patients with higher radiomics scores exhibited a favorable response to chemotherapy. In conclusion, the newly developed radiomics signature is a powerful predictor of DFS and OS, and it may predict which patients with stage II and III GC benefit from chemotherapy. Keywords: Gastric cancer, Radiomics signature, Prognosis, Chemotherapy
url http://www.sciencedirect.com/science/article/pii/S2352396418303645
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spelling doaj-e0733d7efe7e4884a25ba17d9677931d2020-11-25T02:55:58ZengElsevierEBioMedicine2352-39642018-10-0136171182Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in contextYuming Jiang0Chuanli Chen1Jingjing Xie2Wei Wang3Xuefan Zha4Wenbing Lv5Hao Chen6Yanfeng Hu7Tuanjie Li8Jiang Yu9Zhiwei Zhou10Yikai Xu11Guoxin Li12Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, ChinaDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue North, 510515 Guangzhou, ChinaResearch Center for Clinical Pharmacology, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China; Department of Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, ChinaDepartment of Biomedical Engineering, Southern Medical University, Guangzhou, ChinaDepartment of Biomedical Engineering, Southern Medical University, Guangzhou, ChinaDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, ChinaDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, ChinaDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, ChinaDepartment of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China; Correspondence to: J. Yu, Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China.State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China; Department of Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China; Correspondence to: Z. Zhou, Department of Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue North, 510515 Guangzhou, China; Correspondence to: Y. Xu, Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China.Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, China; Correspondence to: G. Li, Department of General Surgery, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China.To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in 1591 consecutive patients. A radiomics signature was generated by using the Lasso-Cox regression model in 228 patients and validated in internal and external validation cohorts. Radiomics nomograms integrating the radiomics signature were constructed, demonstrating the incremental value of the radiomics signature to the traditional staging system for individualized survival estimation. The performance of the nomograms was assessed with respect to calibration, discrimination, and clinical usefulness. The radiomics signature consisted of 19 selected features and was significantly associated with DFS (disease-free survival) and OS (overall survival). Multivariate analysis demonstrated that the radiomics signature was an independent prognostic factor. Incorporating the radiomics signature into the radiomics-based nomograms resulted in better performance for the estimation of DFS and OS than the clinicopathological nomograms and TNM staging system, with improved accuracy of the classification of survival outcomes. Further analysis showed that stage II and III patients with higher radiomics scores exhibited a favorable response to chemotherapy. In conclusion, the newly developed radiomics signature is a powerful predictor of DFS and OS, and it may predict which patients with stage II and III GC benefit from chemotherapy. Keywords: Gastric cancer, Radiomics signature, Prognosis, Chemotherapyhttp://www.sciencedirect.com/science/article/pii/S2352396418303645