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The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma
PURPOSE: The objective of our study was to evaluate the value of two-trait predictor of venous invasion (TTPVI) in the prediction of pathological microvascular invasion (pMVI) in patients with hepatocellular carcinoma (HCC) from preoperative computed tomography (CT) and magnetic resonance (MR). METH...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276193/ https://www.ncbi.nlm.nih.gov/pubmed/32581583 http://dx.doi.org/10.2147/CMAR.S245475 |
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author | Zhang, Tao Pandey, Gaurab Xu, Lin Chen, Wen Gu, Liangrui Wu, Yijun Chen, Xiuwen |
author_facet | Zhang, Tao Pandey, Gaurab Xu, Lin Chen, Wen Gu, Liangrui Wu, Yijun Chen, Xiuwen |
author_sort | Zhang, Tao |
collection | PubMed |
description | PURPOSE: The objective of our study was to evaluate the value of two-trait predictor of venous invasion (TTPVI) in the prediction of pathological microvascular invasion (pMVI) in patients with hepatocellular carcinoma (HCC) from preoperative computed tomography (CT) and magnetic resonance (MR). METHODS: A total of 128 preoperative patients with findings of HCC were enrolled. Tumor size, tumor margins, tumor capsule, peritumoral enhancement, and TTPVI was assessed on preoperative CT and MRI images. Histopathological features were reviewed: pathological tumor size, tumor differentiation, pMVI along with alpha-fetoprotein level (AFP). Significant imaging findings and histopathological features were determined with univariate and multivariate logistic regression analysis. RESULTS: Univariate analysis revealed that tumor size (p<0.01), AFP level (p=0.043), tumor differentiation (p<0.01), peritumoral enhancement (p=0.003), pathological tumor size (p<0.01), tumor margins (p<0.01) on CT and MRI, and TTPVI (p<0.01) showed statistically significant associations with pMVI. In multivariate logistic regression analysis, tumor size (odds ratio [OR] = 1.294; 95% confidence interval [CI]: 1.155, 1.451; p < 0.001), tumor differentiation (odds ratio [OR] =1.384; 95% confidence interval [CI]: 1.224, 1.564; p < 0.001), and TTPVI (odds ratio [OR] = 4.802; 95% confidence interval [CI]: 1.037, 22.233; p=0.045) were significant independent predictors of pMVI. Using 5.8 as the threshold for size, one could obtain an area-under-curve (AUC) of 0.793, 95% confidence interval [CI]: 0.715 to 0.857. CONCLUSION: Tumor size, tumor differentiation, and TTPVI depicted in preoperative CT and MRI had a statistically significant correlation with pMVI. Hence, TTPVI detected on CT and MRI may be predictive of pMVI in HCC cases. |
format | Online Article Text |
id | pubmed-7276193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-72761932020-06-23 The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma Zhang, Tao Pandey, Gaurab Xu, Lin Chen, Wen Gu, Liangrui Wu, Yijun Chen, Xiuwen Cancer Manag Res Original Research PURPOSE: The objective of our study was to evaluate the value of two-trait predictor of venous invasion (TTPVI) in the prediction of pathological microvascular invasion (pMVI) in patients with hepatocellular carcinoma (HCC) from preoperative computed tomography (CT) and magnetic resonance (MR). METHODS: A total of 128 preoperative patients with findings of HCC were enrolled. Tumor size, tumor margins, tumor capsule, peritumoral enhancement, and TTPVI was assessed on preoperative CT and MRI images. Histopathological features were reviewed: pathological tumor size, tumor differentiation, pMVI along with alpha-fetoprotein level (AFP). Significant imaging findings and histopathological features were determined with univariate and multivariate logistic regression analysis. RESULTS: Univariate analysis revealed that tumor size (p<0.01), AFP level (p=0.043), tumor differentiation (p<0.01), peritumoral enhancement (p=0.003), pathological tumor size (p<0.01), tumor margins (p<0.01) on CT and MRI, and TTPVI (p<0.01) showed statistically significant associations with pMVI. In multivariate logistic regression analysis, tumor size (odds ratio [OR] = 1.294; 95% confidence interval [CI]: 1.155, 1.451; p < 0.001), tumor differentiation (odds ratio [OR] =1.384; 95% confidence interval [CI]: 1.224, 1.564; p < 0.001), and TTPVI (odds ratio [OR] = 4.802; 95% confidence interval [CI]: 1.037, 22.233; p=0.045) were significant independent predictors of pMVI. Using 5.8 as the threshold for size, one could obtain an area-under-curve (AUC) of 0.793, 95% confidence interval [CI]: 0.715 to 0.857. CONCLUSION: Tumor size, tumor differentiation, and TTPVI depicted in preoperative CT and MRI had a statistically significant correlation with pMVI. Hence, TTPVI detected on CT and MRI may be predictive of pMVI in HCC cases. Dove 2020-06-02 /pmc/articles/PMC7276193/ /pubmed/32581583 http://dx.doi.org/10.2147/CMAR.S245475 Text en © 2020 Zhang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Zhang, Tao Pandey, Gaurab Xu, Lin Chen, Wen Gu, Liangrui Wu, Yijun Chen, Xiuwen The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title | The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title_full | The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title_fullStr | The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title_full_unstemmed | The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title_short | The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma |
title_sort | value of ttpvi in prediction of microvascular invasion in hepatocellular carcinoma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276193/ https://www.ncbi.nlm.nih.gov/pubmed/32581583 http://dx.doi.org/10.2147/CMAR.S245475 |
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