A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy

BackgroundIntrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignant tumor with a poor prognosis. This study aimed to establish a novel clinical-radiomics model for predicting the prognosis of ICC after radical hepatectomy.MethodsA clinical-radiomics model was established for 82 cases of...

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Autores principales:	Liming Deng, Bo Chen, Chenyi Zhan, Haitao Yu, Jiuyi Zheng, Wenming Bao, Tuo Deng, Chongming Zheng, Lijun Wu, Yunjun Yang, Zhengping Yu, Yi Wang, Gang Chen
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	sarcopenia clinical-radiomics model intrahepatic cholangiocarcinoma radical hepatectomy nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/3199c25fdb1f4e0f89d0bfe0ceb5ab55
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spelling	oai:doaj.org-article:3199c25fdb1f4e0f89d0bfe0ceb5ab552021-11-19T05:14:28ZA Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy2234-943X10.3389/fonc.2021.744311https://doaj.org/article/3199c25fdb1f4e0f89d0bfe0ceb5ab552021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.744311/fullhttps://doaj.org/toc/2234-943XBackgroundIntrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignant tumor with a poor prognosis. This study aimed to establish a novel clinical-radiomics model for predicting the prognosis of ICC after radical hepatectomy.MethodsA clinical-radiomics model was established for 82 cases of ICC treated with radical hepatectomy in our hospital from May 2011 to December 2020. Radiomics features were extracted from venous-phase and arterial-phase images of computed tomography. Kaplan-Meier survival analysis was generated to compare overall survival (OS) between different groups. The independent factors were identified by univariate and multivariate Cox regression analyses. Nomogram performance was evaluated regarding discrimination, calibration, and clinical utility. C-index and area under the curve (AUC) were utilized to compare the predictive performance between the clinical-radiomics model and conventional staging systems.ResultsThe radiomics model included five features. The AUC of the radiomics model was 0.817 in the training cohort, and 0.684 in the validation cohort. The clinical-radiomics model included psoas muscle index, radiomics score, hepatolithiasis, carcinoembryonic antigen, and neutrophil/lymphocyte ratio. The reliable C-index of the model was 0.768, which was higher than that of other models. The AUC of the model for predicting OS at 1, and 3 years was 0.809 and 0.886, which was significantly higher than that of the American Joint Committee on Cancer 8th staging system (0.594 and 0.619), radiomics model (0.743 and 0.770), and tumor differentiation (0.645 and 0.628). After stratification according to the constructed model, the median OS was 59.8 months for low-risk ICC patients and 10.1 months for high-risk patients (p < 0.0001).ConclusionThe clinical-radiomics model integrating sarcopenia, clinical features, and radiomics score was accurate for prognostic prediction for mass-forming ICC patients. It provided an individualized prognostic evaluation in patients with mass-forming ICC and could helped surgeons with clinical decision-making.Liming DengLiming DengBo ChenBo ChenChenyi ZhanHaitao YuHaitao YuJiuyi ZhengJiuyi ZhengWenming BaoWenming BaoTuo DengTuo DengChongming ZhengChongming ZhengLijun WuLijun WuYunjun YangZhengping YuZhengping YuYi WangGang ChenGang ChenFrontiers Media S.A.articlesarcopeniaclinical-radiomics modelintrahepatic cholangiocarcinomaradical hepatectomynomogramNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sarcopenia clinical-radiomics model intrahepatic cholangiocarcinoma radical hepatectomy nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	sarcopenia clinical-radiomics model intrahepatic cholangiocarcinoma radical hepatectomy nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Liming Deng Liming Deng Bo Chen Bo Chen Chenyi Zhan Haitao Yu Haitao Yu Jiuyi Zheng Jiuyi Zheng Wenming Bao Wenming Bao Tuo Deng Tuo Deng Chongming Zheng Chongming Zheng Lijun Wu Lijun Wu Yunjun Yang Zhengping Yu Zhengping Yu Yi Wang Gang Chen Gang Chen A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
description	BackgroundIntrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignant tumor with a poor prognosis. This study aimed to establish a novel clinical-radiomics model for predicting the prognosis of ICC after radical hepatectomy.MethodsA clinical-radiomics model was established for 82 cases of ICC treated with radical hepatectomy in our hospital from May 2011 to December 2020. Radiomics features were extracted from venous-phase and arterial-phase images of computed tomography. Kaplan-Meier survival analysis was generated to compare overall survival (OS) between different groups. The independent factors were identified by univariate and multivariate Cox regression analyses. Nomogram performance was evaluated regarding discrimination, calibration, and clinical utility. C-index and area under the curve (AUC) were utilized to compare the predictive performance between the clinical-radiomics model and conventional staging systems.ResultsThe radiomics model included five features. The AUC of the radiomics model was 0.817 in the training cohort, and 0.684 in the validation cohort. The clinical-radiomics model included psoas muscle index, radiomics score, hepatolithiasis, carcinoembryonic antigen, and neutrophil/lymphocyte ratio. The reliable C-index of the model was 0.768, which was higher than that of other models. The AUC of the model for predicting OS at 1, and 3 years was 0.809 and 0.886, which was significantly higher than that of the American Joint Committee on Cancer 8th staging system (0.594 and 0.619), radiomics model (0.743 and 0.770), and tumor differentiation (0.645 and 0.628). After stratification according to the constructed model, the median OS was 59.8 months for low-risk ICC patients and 10.1 months for high-risk patients (p < 0.0001).ConclusionThe clinical-radiomics model integrating sarcopenia, clinical features, and radiomics score was accurate for prognostic prediction for mass-forming ICC patients. It provided an individualized prognostic evaluation in patients with mass-forming ICC and could helped surgeons with clinical decision-making.
format	article
author	Liming Deng Liming Deng Bo Chen Bo Chen Chenyi Zhan Haitao Yu Haitao Yu Jiuyi Zheng Jiuyi Zheng Wenming Bao Wenming Bao Tuo Deng Tuo Deng Chongming Zheng Chongming Zheng Lijun Wu Lijun Wu Yunjun Yang Zhengping Yu Zhengping Yu Yi Wang Gang Chen Gang Chen
author_facet	Liming Deng Liming Deng Bo Chen Bo Chen Chenyi Zhan Haitao Yu Haitao Yu Jiuyi Zheng Jiuyi Zheng Wenming Bao Wenming Bao Tuo Deng Tuo Deng Chongming Zheng Chongming Zheng Lijun Wu Lijun Wu Yunjun Yang Zhengping Yu Zhengping Yu Yi Wang Gang Chen Gang Chen
author_sort	Liming Deng
title	A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
title_short	A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
title_full	A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
title_fullStr	A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
title_full_unstemmed	A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy
title_sort	novel clinical-radiomics model based on sarcopenia and radiomics for predicting the prognosis of intrahepatic cholangiocarcinoma after radical hepatectomy
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/3199c25fdb1f4e0f89d0bfe0ceb5ab55
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A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy

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