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Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma

The present study analyzed the ability of metabolic burden indices from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) to predict tumor recurrence following orthotopic liver transplantation (OLT) in patients with hepatocellular carcinoma (HCC). Seven m...

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Autores principales: Ding, Enci, Lu, Dongyan, Wei, Lijuan, Feng, Xuemin, Shen, Jie, Xu, Wengui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377045/
https://www.ncbi.nlm.nih.gov/pubmed/32724365
http://dx.doi.org/10.3892/ol.2020.11681
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author Ding, Enci
Lu, Dongyan
Wei, Lijuan
Feng, Xuemin
Shen, Jie
Xu, Wengui
author_facet Ding, Enci
Lu, Dongyan
Wei, Lijuan
Feng, Xuemin
Shen, Jie
Xu, Wengui
author_sort Ding, Enci
collection PubMed
description The present study analyzed the ability of metabolic burden indices from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) to predict tumor recurrence following orthotopic liver transplantation (OLT) in patients with hepatocellular carcinoma (HCC). Seven major metabolic indices were measured by (18)F-FDG PET/CT in 93 patients with HCC, prior to OLT. The Mann-Whitney U test was then used to predict the association of metabolic indices, including the maximum standardized uptake value (SUVmax), tumor-to-mediastinum SUV ratio, tumor-to-normal-liver SUV ratio, SUV normalized to lean body mass metabolic tumor volume (MTV), total lesion glycolysis (TLG) and uptake-volume product (UVP), with the recurrence risk. The Deauville-like scoring system was used to quantify the recurrence risk. Univariate and multivariable Cox regression models were performed to determine survival rate. The results showed that Deauville-like score (PET-negative vs. -positive), MTV (cutoff value, 13.36), TLG (cutoff value, 62.21) and UVP (cutoff value, 66.60) had high prediction performance for tumor recurrence (P<0.05). TLG had the highest receiver operating characteristics area under the curve of 0.725. Among the clinical factors, high level of α-fetoprotein (AFP, ≥144 ng/ml), Milan criteria, tumor number (>3), involvement of both right and left lobes, and tumor size (>5 cm) were found to be significant predictors of tumor recurrence. Patients in the low metabolic group had longer recurrence-free survival (RFS) times compared with those in the high metabolic group, regardless of whether they met the Milan criteria or not. AFP, uptake-volume product according the SUV mean of mediastinum (UVP-M), Milan criteria, lymph node metastasis, and the number of tumors were significant prognostic factors for RFS (P<0.05) in both univariate and multivariate survival analyses. Additionally, the MVI was a significant prognostic factor based on univariate survival analyses. Overall, the present study demonstrated the metabolic burden indices measured by PET/CT, Deauville-like score, MTV, TLG and UVP as significant prognostic factors in patients with HCC following OLT. The combination of metabolic indices measured by PET/CT and the existing criteria, such as the Milan criteria, may play an important role in evaluating the suitability of OLT in specific patients.
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spelling pubmed-73770452020-07-27 Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma Ding, Enci Lu, Dongyan Wei, Lijuan Feng, Xuemin Shen, Jie Xu, Wengui Oncol Lett Articles The present study analyzed the ability of metabolic burden indices from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) to predict tumor recurrence following orthotopic liver transplantation (OLT) in patients with hepatocellular carcinoma (HCC). Seven major metabolic indices were measured by (18)F-FDG PET/CT in 93 patients with HCC, prior to OLT. The Mann-Whitney U test was then used to predict the association of metabolic indices, including the maximum standardized uptake value (SUVmax), tumor-to-mediastinum SUV ratio, tumor-to-normal-liver SUV ratio, SUV normalized to lean body mass metabolic tumor volume (MTV), total lesion glycolysis (TLG) and uptake-volume product (UVP), with the recurrence risk. The Deauville-like scoring system was used to quantify the recurrence risk. Univariate and multivariable Cox regression models were performed to determine survival rate. The results showed that Deauville-like score (PET-negative vs. -positive), MTV (cutoff value, 13.36), TLG (cutoff value, 62.21) and UVP (cutoff value, 66.60) had high prediction performance for tumor recurrence (P<0.05). TLG had the highest receiver operating characteristics area under the curve of 0.725. Among the clinical factors, high level of α-fetoprotein (AFP, ≥144 ng/ml), Milan criteria, tumor number (>3), involvement of both right and left lobes, and tumor size (>5 cm) were found to be significant predictors of tumor recurrence. Patients in the low metabolic group had longer recurrence-free survival (RFS) times compared with those in the high metabolic group, regardless of whether they met the Milan criteria or not. AFP, uptake-volume product according the SUV mean of mediastinum (UVP-M), Milan criteria, lymph node metastasis, and the number of tumors were significant prognostic factors for RFS (P<0.05) in both univariate and multivariate survival analyses. Additionally, the MVI was a significant prognostic factor based on univariate survival analyses. Overall, the present study demonstrated the metabolic burden indices measured by PET/CT, Deauville-like score, MTV, TLG and UVP as significant prognostic factors in patients with HCC following OLT. The combination of metabolic indices measured by PET/CT and the existing criteria, such as the Milan criteria, may play an important role in evaluating the suitability of OLT in specific patients. D.A. Spandidos 2020-08 2020-05-28 /pmc/articles/PMC7377045/ /pubmed/32724365 http://dx.doi.org/10.3892/ol.2020.11681 Text en Copyright: © Ding et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Ding, Enci
Lu, Dongyan
Wei, Lijuan
Feng, Xuemin
Shen, Jie
Xu, Wengui
Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title_full Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title_fullStr Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title_full_unstemmed Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title_short Predicting tumor recurrence using metabolic indices of (18)F-FDG PET/CT prior to orthotopic liver transplantationfor hepatocellular carcinoma
title_sort predicting tumor recurrence using metabolic indices of (18)f-fdg pet/ct prior to orthotopic liver transplantationfor hepatocellular carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377045/
https://www.ncbi.nlm.nih.gov/pubmed/32724365
http://dx.doi.org/10.3892/ol.2020.11681
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