A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria
Purpose: The prediction of microvascular invasion (MVI) has increasingly been recognized to reflect prognosis involving local invasion and distant metastasis of hepatocellular carcinoma (HCC). The aim of this study was to assess a predictive model using preoperatively accessible clinical parameters...
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Format: | Article |
Language: | English |
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Elsevier
2021-11-01
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Series: | Translational Oncology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523321001923 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenhui Zhang Zhikun Liu Junli Chen Siyi Dong Beini Cen Shusen Zheng Xiao Xu |
spellingShingle |
Wenhui Zhang Zhikun Liu Junli Chen Siyi Dong Beini Cen Shusen Zheng Xiao Xu A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria Translational Oncology Microvascular Invasion (MVI) Liver Transplantation (LT) Hepatocellular Carcinoma (HCC) |
author_facet |
Wenhui Zhang Zhikun Liu Junli Chen Siyi Dong Beini Cen Shusen Zheng Xiao Xu |
author_sort |
Wenhui Zhang |
title |
A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria |
title_short |
A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria |
title_full |
A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria |
title_fullStr |
A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria |
title_full_unstemmed |
A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteria |
title_sort |
preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for hcc regarding empirical criteria |
publisher |
Elsevier |
series |
Translational Oncology |
issn |
1936-5233 |
publishDate |
2021-11-01 |
description |
Purpose: The prediction of microvascular invasion (MVI) has increasingly been recognized to reflect prognosis involving local invasion and distant metastasis of hepatocellular carcinoma (HCC). The aim of this study was to assess a predictive model using preoperatively accessible clinical parameters and radiographic features developed and validated to predict MVI. This predictive model can distinguish clinical outcomes after liver transplantation (LT) for HCC patients. Methods: In total, 455 HCC patients who underwent LT between January 1, 2015, and December 31, 2019, were retrospectively enrolled in two centers in China as a training cohort (ZFA center; n = 244) and a test cohort (SLA center; n = 211). Univariate and multivariate backward logistic regression analysis were used to select the significant clinical variables which were incorporated into the predictive nomogram associated with MVI. Receiver operating characteristic (ROC) curves based on clinical parameters were plotted to predict MVI in the training and test sets. Results: Univariate and multivariate backward logistic regression analysis identified four independent preoperative risk factors for MVI: α-fetoprotein (AFP) level (p < 0.001), tumor size ((p < 0.001), peritumoral star node (p = 0.003), and tumor margin (p = 0.016). The predictive nomogram using these predictors achieved an area under curve (AUC) of 0.85 and 0.80 in the training and test sets. Furthermore, MVI could discriminate different clinical outcomes within the Milan criteria (MC) and beyond the MC. Conclusions: The nomogram based on preoperatively clinical variables demonstrated good performance for predicting MVI. MVI may serve as a supplement to the MC. |
topic |
Microvascular Invasion (MVI) Liver Transplantation (LT) Hepatocellular Carcinoma (HCC) |
url |
http://www.sciencedirect.com/science/article/pii/S1936523321001923 |
work_keys_str_mv |
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doaj-3f1787940dd64cf5bca58d0dd759cbfd2021-09-19T04:55:56ZengElsevierTranslational Oncology1936-52332021-11-011411101200A preoperative model for predicting microvascular invasion and assisting in prognostic stratification in liver transplantation for HCC regarding empirical criteriaWenhui Zhang0Zhikun Liu1Junli Chen2Siyi Dong3Beini Cen4Shusen Zheng5Xiao Xu6Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China; Zhejiang University Cancer center, Hangzhou, 310058, China; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, ChinaDepartment of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, ChinaNational Center for healthcare quality management in liver transplant, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, ChinaNational Center for healthcare quality management in liver transplant, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, ChinaDepartment of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou,310003, ChinaDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou, 310000, China; Corresponding author.Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China; Zhejiang University Cancer center, Hangzhou, 310058, China; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Corresponding author.Purpose: The prediction of microvascular invasion (MVI) has increasingly been recognized to reflect prognosis involving local invasion and distant metastasis of hepatocellular carcinoma (HCC). The aim of this study was to assess a predictive model using preoperatively accessible clinical parameters and radiographic features developed and validated to predict MVI. This predictive model can distinguish clinical outcomes after liver transplantation (LT) for HCC patients. Methods: In total, 455 HCC patients who underwent LT between January 1, 2015, and December 31, 2019, were retrospectively enrolled in two centers in China as a training cohort (ZFA center; n = 244) and a test cohort (SLA center; n = 211). Univariate and multivariate backward logistic regression analysis were used to select the significant clinical variables which were incorporated into the predictive nomogram associated with MVI. Receiver operating characteristic (ROC) curves based on clinical parameters were plotted to predict MVI in the training and test sets. Results: Univariate and multivariate backward logistic regression analysis identified four independent preoperative risk factors for MVI: α-fetoprotein (AFP) level (p < 0.001), tumor size ((p < 0.001), peritumoral star node (p = 0.003), and tumor margin (p = 0.016). The predictive nomogram using these predictors achieved an area under curve (AUC) of 0.85 and 0.80 in the training and test sets. Furthermore, MVI could discriminate different clinical outcomes within the Milan criteria (MC) and beyond the MC. Conclusions: The nomogram based on preoperatively clinical variables demonstrated good performance for predicting MVI. MVI may serve as a supplement to the MC.http://www.sciencedirect.com/science/article/pii/S1936523321001923Microvascular Invasion (MVI)Liver Transplantation (LT)Hepatocellular Carcinoma (HCC) |