Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?

Abstract Objective: To investigate whether quantitative computed tomography (CT) measurements can predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Materials and Methods: This was a retrospective analysis of 200 cases of surgically proven HCCs in 125 consecutive patients evaluated between March 2010 and November 2017. We quantitatively measured regions of interest in lesions and adjacent areas of the liver on unenhanced CT scans, as well as in the arterial, portal venous, and equilibrium phases on contrast-enhanced CT scans. Enhancement profiles were analyzed and compared with histopathological references of MVI. Univariate and multivariate logistic regression analyses were used in order to evaluate CT parameters as potential predictors of MVI. Results: Of the 200 HCCs, 77 (38.5%) showed evidence of MVI on histopathological analysis. There was no statistical difference between HCCs with MVI and those without, in terms of the percentage attenuation ratio in the portal venous phase (114.7 vs. 115.8) and equilibrium phase (126.7 vs. 128.2), as well as in terms of the relative washout ratio, also in the portal venous and equilibrium phases (15.0 vs. 8.2 and 31.4 vs. 26.3, respectively). Conclusion: Quantitative dynamic CT parameters measured in the preoperative period do not appear to correlate with MVI in HCC.

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Main Authors: Lahan-Martins,Daniel, Perales,Simone Reges, Gallani,Stephanie Kilaris, Costa,Larissa Bastos Eloy da, Lago,Eduardo Andreazza Dal, Boin,Ilka de Fátima Santana Ferreira, Caserta,Nelson Marcio Gomes, Ataide,Elaine Cristina de
Format: Digital revista
Language:English
Published: Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2019
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000500287
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spelling oai:scielo:S0100-398420190005002872019-10-21Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?Lahan-Martins,DanielPerales,Simone RegesGallani,Stephanie KilarisCosta,Larissa Bastos Eloy daLago,Eduardo Andreazza DalBoin,Ilka de Fátima Santana FerreiraCaserta,Nelson Marcio GomesAtaide,Elaine Cristina de Carcinoma, hepatocellular Tomography, X-ray computed Liver neoplasms/surgery Liver transplantation Abstract Objective: To investigate whether quantitative computed tomography (CT) measurements can predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Materials and Methods: This was a retrospective analysis of 200 cases of surgically proven HCCs in 125 consecutive patients evaluated between March 2010 and November 2017. We quantitatively measured regions of interest in lesions and adjacent areas of the liver on unenhanced CT scans, as well as in the arterial, portal venous, and equilibrium phases on contrast-enhanced CT scans. Enhancement profiles were analyzed and compared with histopathological references of MVI. Univariate and multivariate logistic regression analyses were used in order to evaluate CT parameters as potential predictors of MVI. Results: Of the 200 HCCs, 77 (38.5%) showed evidence of MVI on histopathological analysis. There was no statistical difference between HCCs with MVI and those without, in terms of the percentage attenuation ratio in the portal venous phase (114.7 vs. 115.8) and equilibrium phase (126.7 vs. 128.2), as well as in terms of the relative washout ratio, also in the portal venous and equilibrium phases (15.0 vs. 8.2 and 31.4 vs. 26.3, respectively). Conclusion: Quantitative dynamic CT parameters measured in the preoperative period do not appear to correlate with MVI in HCC.info:eu-repo/semantics/openAccessPublicação do Colégio Brasileiro de Radiologia e Diagnóstico por ImagemRadiologia Brasileira v.52 n.5 20192019-10-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000500287en10.1590/0100-3984.2018.0123
institution SCIELO
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country Brasil
countrycode BR
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access En linea
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libraryname SciELO
language English
format Digital
author Lahan-Martins,Daniel
Perales,Simone Reges
Gallani,Stephanie Kilaris
Costa,Larissa Bastos Eloy da
Lago,Eduardo Andreazza Dal
Boin,Ilka de Fátima Santana Ferreira
Caserta,Nelson Marcio Gomes
Ataide,Elaine Cristina de
spellingShingle Lahan-Martins,Daniel
Perales,Simone Reges
Gallani,Stephanie Kilaris
Costa,Larissa Bastos Eloy da
Lago,Eduardo Andreazza Dal
Boin,Ilka de Fátima Santana Ferreira
Caserta,Nelson Marcio Gomes
Ataide,Elaine Cristina de
Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
author_facet Lahan-Martins,Daniel
Perales,Simone Reges
Gallani,Stephanie Kilaris
Costa,Larissa Bastos Eloy da
Lago,Eduardo Andreazza Dal
Boin,Ilka de Fátima Santana Ferreira
Caserta,Nelson Marcio Gomes
Ataide,Elaine Cristina de
author_sort Lahan-Martins,Daniel
title Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
title_short Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
title_full Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
title_fullStr Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
title_full_unstemmed Microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
title_sort microvascular invasion in hepatocellular carcinoma: is it predictable with quantitative computed tomography parameters?
description Abstract Objective: To investigate whether quantitative computed tomography (CT) measurements can predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Materials and Methods: This was a retrospective analysis of 200 cases of surgically proven HCCs in 125 consecutive patients evaluated between March 2010 and November 2017. We quantitatively measured regions of interest in lesions and adjacent areas of the liver on unenhanced CT scans, as well as in the arterial, portal venous, and equilibrium phases on contrast-enhanced CT scans. Enhancement profiles were analyzed and compared with histopathological references of MVI. Univariate and multivariate logistic regression analyses were used in order to evaluate CT parameters as potential predictors of MVI. Results: Of the 200 HCCs, 77 (38.5%) showed evidence of MVI on histopathological analysis. There was no statistical difference between HCCs with MVI and those without, in terms of the percentage attenuation ratio in the portal venous phase (114.7 vs. 115.8) and equilibrium phase (126.7 vs. 128.2), as well as in terms of the relative washout ratio, also in the portal venous and equilibrium phases (15.0 vs. 8.2 and 31.4 vs. 26.3, respectively). Conclusion: Quantitative dynamic CT parameters measured in the preoperative period do not appear to correlate with MVI in HCC.
publisher Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
publishDate 2019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000500287
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