Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy
Purpose: The study aimed to establish a prognostic prediction model and an artificial neural network (ANN) model to determine who will benefit from transarterial chemoembolization (TACE) monotherapy for patients with hepatocellular carcinoma (HCC) invading portal vein. Methods: Treatment-naïve patie...
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doaj-87cdd6045e724382bfa860bbb977747c2020-11-29T04:15:36ZengKeAi Communications Co., Ltd.Journal of Interventional Medicine2096-36022020-12-0134201207Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapyLei Zhang0BinYan Zhong1Bo Hu2Wei Li3Peng Huang4Shen Zhang5JinJin Song6JianSong Ji7CaiFang Ni8Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Interventional Radiology, Zhejiang University Lishui Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui, ChinaDepartment of Interventional Radiology, Zhejiang University Lishui Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui, China; Corresponding author. Department of Interventional Radiology, Zhejiang University Lishui Hospital, No. 289 Kuocang Road, Lishui, 323000, China.Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China; Corresponding author. Department of Interventional, The First Affiliated Hospital of Soochow University, No. 188, Shizi Street, Suzhou, 215006, China.Purpose: The study aimed to establish a prognostic prediction model and an artificial neural network (ANN) model to determine who will benefit from transarterial chemoembolization (TACE) monotherapy for patients with hepatocellular carcinoma (HCC) invading portal vein. Methods: Treatment-naïve patients with HCC and portal vein invasion who were treated with TACE monotherapy at hospital A as training cohort and hospital B as validation cohort were included. The primary endpoint was overall survival (OS). In training cohort, independent risk factors associated with OS were identified by univariate and multivariate analysis. The prognostic prediction (PP) and ANN models based on the independent risk factors were established to find out who will benefit most from TACE monotherapy. The type of portal vein tumor thrombosis was classified based on the Cheng’s Classification. The accuracy of the models was validated in validation cohort. Results: Totally, 242 patients (training cohort: n = 159; validation cohort: n = 83) were included. The median OS was 7.1 and 8.5 months in training and validation cohort, respectively. In training cohort, the PP model was established based on the following five independent risk factors: Cheng’s Classification, Eastern Cooperative Oncology Group score, maximum tumor size, number of HCC nodules, and Child-Pugh stage. PP score of 17.5 was identified as cut-off point and patients were divided into two groups by PP score <17.5 and >17.5 in survival benefit and prognostication (8.8 vs. 5.5 months; P < 0.001). These five factors were included and ranked based on the importance associated with OS in the ANN model. Both of the two models received high accuracy after validation. Conclusions: Portal vein invaded HCC patients with PP score <17.5 may benefit most from TACE monotherapy. For these patients, TACE monotherapy should be considered.http://www.sciencedirect.com/science/article/pii/S2096360220300491Hepatocellular carcinomaTransarterial chemoembolizationPortal vein tumor thrombosisPrognosticArtificial neural network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Zhang BinYan Zhong Bo Hu Wei Li Peng Huang Shen Zhang JinJin Song JianSong Ji CaiFang Ni |
spellingShingle |
Lei Zhang BinYan Zhong Bo Hu Wei Li Peng Huang Shen Zhang JinJin Song JianSong Ji CaiFang Ni Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy Journal of Interventional Medicine Hepatocellular carcinoma Transarterial chemoembolization Portal vein tumor thrombosis Prognostic Artificial neural network |
author_facet |
Lei Zhang BinYan Zhong Bo Hu Wei Li Peng Huang Shen Zhang JinJin Song JianSong Ji CaiFang Ni |
author_sort |
Lei Zhang |
title |
Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
title_short |
Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
title_full |
Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
title_fullStr |
Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
title_full_unstemmed |
Stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
title_sort |
stratification of portal vein-invaded hepatocellular carcinoma treated with transarterial chemoembolization monotherapy |
publisher |
KeAi Communications Co., Ltd. |
series |
Journal of Interventional Medicine |
issn |
2096-3602 |
publishDate |
2020-12-01 |
description |
Purpose: The study aimed to establish a prognostic prediction model and an artificial neural network (ANN) model to determine who will benefit from transarterial chemoembolization (TACE) monotherapy for patients with hepatocellular carcinoma (HCC) invading portal vein. Methods: Treatment-naïve patients with HCC and portal vein invasion who were treated with TACE monotherapy at hospital A as training cohort and hospital B as validation cohort were included. The primary endpoint was overall survival (OS). In training cohort, independent risk factors associated with OS were identified by univariate and multivariate analysis. The prognostic prediction (PP) and ANN models based on the independent risk factors were established to find out who will benefit most from TACE monotherapy. The type of portal vein tumor thrombosis was classified based on the Cheng’s Classification. The accuracy of the models was validated in validation cohort. Results: Totally, 242 patients (training cohort: n = 159; validation cohort: n = 83) were included. The median OS was 7.1 and 8.5 months in training and validation cohort, respectively. In training cohort, the PP model was established based on the following five independent risk factors: Cheng’s Classification, Eastern Cooperative Oncology Group score, maximum tumor size, number of HCC nodules, and Child-Pugh stage. PP score of 17.5 was identified as cut-off point and patients were divided into two groups by PP score <17.5 and >17.5 in survival benefit and prognostication (8.8 vs. 5.5 months; P < 0.001). These five factors were included and ranked based on the importance associated with OS in the ANN model. Both of the two models received high accuracy after validation. Conclusions: Portal vein invaded HCC patients with PP score <17.5 may benefit most from TACE monotherapy. For these patients, TACE monotherapy should be considered. |
topic |
Hepatocellular carcinoma Transarterial chemoembolization Portal vein tumor thrombosis Prognostic Artificial neural network |
url |
http://www.sciencedirect.com/science/article/pii/S2096360220300491 |
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