Cargando…

Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging

PURPOSE: This study aimed to investigate the value of quantified extracellular volume fraction (fECV) derived from dual-energy CT (DECT) for predicting the survival outcomes of patients with hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE). MATERIALS AND METHODS: A total o...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yan, Shi, Kexin, Li, Zhen, Wang, Huixia, Liu, Nana, Zhan, Pengchao, Liu, Xing, Shang, Bo, Hou, Ping, Gao, Jianbo, Lyu, Peijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394647/
https://www.ncbi.nlm.nih.gov/pubmed/37538109
http://dx.doi.org/10.3389/fonc.2023.1199426
_version_ 1785083418859536384
author Chen, Yan
Shi, Kexin
Li, Zhen
Wang, Huixia
Liu, Nana
Zhan, Pengchao
Liu, Xing
Shang, Bo
Hou, Ping
Gao, Jianbo
Lyu, Peijie
author_facet Chen, Yan
Shi, Kexin
Li, Zhen
Wang, Huixia
Liu, Nana
Zhan, Pengchao
Liu, Xing
Shang, Bo
Hou, Ping
Gao, Jianbo
Lyu, Peijie
author_sort Chen, Yan
collection PubMed
description PURPOSE: This study aimed to investigate the value of quantified extracellular volume fraction (fECV) derived from dual-energy CT (DECT) for predicting the survival outcomes of patients with hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE). MATERIALS AND METHODS: A total of 63 patients with HCC who underwent DECT before treatment were retrospectively included. Virtual monochromatic images (VMI) (70 keV) and iodine density images (IDI) during the equilibrium phase (EP) were generated. The tumor VMI-fECV and IDI-fECV were measured and calculated on the whole tumor (Whole) and maximum enhancement of the tumor (Maximum), respectively. Univariate and multivariate Cox models were used to evaluate the effects of clinical and imaging predictors on overall survival (OS) and progression-free survival (PFS). RESULTS: The correlation between tumor VMI-fECV and IDI-fECV was strong (both p< 0.001). The Bland–Altman plot between VMI-fECV and IDI-fECV showed a bias of 5.16% for the Whole and 6.89% for the Maximum modalities, respectively. Increasing tumor VMI-fECV and IDI-fECV were positively related to the effects on OS and PFS (both p< 0.05). The tumor IDI-fECV-Maximum was the only congruent independent predictor in patients with HCC after TACE in the multivariate analysis on OS (p = 0.000) and PFS (p = 0.028). Patients with higher IDI-fECV-Maximum values had better survival rates above the optimal cutoff values, which were 35.42% for OS and 29.37% for PFS. CONCLUSION: The quantified fECV determined by the equilibrium-phase contrast-enhanced DECT can potentially predict the survival outcomes of patients with HCC following TACE treatment.
format Online
Article
Text
id pubmed-10394647
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-103946472023-08-03 Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging Chen, Yan Shi, Kexin Li, Zhen Wang, Huixia Liu, Nana Zhan, Pengchao Liu, Xing Shang, Bo Hou, Ping Gao, Jianbo Lyu, Peijie Front Oncol Oncology PURPOSE: This study aimed to investigate the value of quantified extracellular volume fraction (fECV) derived from dual-energy CT (DECT) for predicting the survival outcomes of patients with hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE). MATERIALS AND METHODS: A total of 63 patients with HCC who underwent DECT before treatment were retrospectively included. Virtual monochromatic images (VMI) (70 keV) and iodine density images (IDI) during the equilibrium phase (EP) were generated. The tumor VMI-fECV and IDI-fECV were measured and calculated on the whole tumor (Whole) and maximum enhancement of the tumor (Maximum), respectively. Univariate and multivariate Cox models were used to evaluate the effects of clinical and imaging predictors on overall survival (OS) and progression-free survival (PFS). RESULTS: The correlation between tumor VMI-fECV and IDI-fECV was strong (both p< 0.001). The Bland–Altman plot between VMI-fECV and IDI-fECV showed a bias of 5.16% for the Whole and 6.89% for the Maximum modalities, respectively. Increasing tumor VMI-fECV and IDI-fECV were positively related to the effects on OS and PFS (both p< 0.05). The tumor IDI-fECV-Maximum was the only congruent independent predictor in patients with HCC after TACE in the multivariate analysis on OS (p = 0.000) and PFS (p = 0.028). Patients with higher IDI-fECV-Maximum values had better survival rates above the optimal cutoff values, which were 35.42% for OS and 29.37% for PFS. CONCLUSION: The quantified fECV determined by the equilibrium-phase contrast-enhanced DECT can potentially predict the survival outcomes of patients with HCC following TACE treatment. Frontiers Media S.A. 2023-07-19 /pmc/articles/PMC10394647/ /pubmed/37538109 http://dx.doi.org/10.3389/fonc.2023.1199426 Text en Copyright © 2023 Chen, Shi, Li, Wang, Liu, Zhan, Liu, Shang, Hou, Gao and Lyu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Yan
Shi, Kexin
Li, Zhen
Wang, Huixia
Liu, Nana
Zhan, Pengchao
Liu, Xing
Shang, Bo
Hou, Ping
Gao, Jianbo
Lyu, Peijie
Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title_full Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title_fullStr Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title_full_unstemmed Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title_short Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging
title_sort survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy ct imaging
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394647/
https://www.ncbi.nlm.nih.gov/pubmed/37538109
http://dx.doi.org/10.3389/fonc.2023.1199426
work_keys_str_mv AT chenyan survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT shikexin survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT lizhen survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT wanghuixia survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT liunana survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT zhanpengchao survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT liuxing survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT shangbo survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT houping survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT gaojianbo survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging
AT lyupeijie survivalpredictionofhepatocellularcarcinomabymeasuringtheextracellularvolumefractionwithsinglephasecontrastenhanceddualenergyctimaging