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Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Tumour heterogeneity poses a significant challenge for treatment stratification. The goals of this study were to quantify heterogeneity in hepatocellular carcinoma (HCC) using multiparametric magnetic resonance imaging (mpMRI), and to report preliminary data correlating quantitative MRI parameters w...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446396/ https://www.ncbi.nlm.nih.gov/pubmed/28550313 http://dx.doi.org/10.1038/s41598-017-02706-z |
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author | Hectors, Stefanie J. Wagner, Mathilde Bane, Octavia Besa, Cecilia Lewis, Sara Remark, Romain Chen, Nelson Fiel, M. Isabel Zhu, Hongfa Gnjatic, Sacha Merad, Miriam Hoshida, Yujin Taouli, Bachir |
author_facet | Hectors, Stefanie J. Wagner, Mathilde Bane, Octavia Besa, Cecilia Lewis, Sara Remark, Romain Chen, Nelson Fiel, M. Isabel Zhu, Hongfa Gnjatic, Sacha Merad, Miriam Hoshida, Yujin Taouli, Bachir |
author_sort | Hectors, Stefanie J. |
collection | PubMed |
description | Tumour heterogeneity poses a significant challenge for treatment stratification. The goals of this study were to quantify heterogeneity in hepatocellular carcinoma (HCC) using multiparametric magnetic resonance imaging (mpMRI), and to report preliminary data correlating quantitative MRI parameters with advanced histopathology and gene expression in a patient subset. Thirty-two HCC patients with 39 HCC lesions underwent mpMRI including diffusion-weighted imaging (DWI), blood-oxygenation-level-dependent (BOLD), tissue-oxygenation-level-dependent (TOLD) and dynamic contrast-enhanced (DCE)-MRI. Histogram characteristics [central tendency (mean, median) and heterogeneity (standard deviation, kurtosis, skewness) MRI parameters] in HCC and liver parenchyma were compared using Wilcoxon signed-rank tests. Histogram data was correlated between MRI methods in all patients and with histopathology and gene expression in 14 patients. HCCs exhibited significantly higher intra-tissue heterogeneity vs. liver with all MRI methods (P < 0.030). Although central tendency parameters showed significant correlations between MRI methods and with each of histopathology and gene expression, heterogeneity parameters exhibited additional complementary correlations between BOLD and DCE-MRI and with histopathologic hypoxia marker HIF1α and gene expression of Wnt target GLUL, pharmacological target FGFR4, stemness markers EPCAM and KRT19 and immune checkpoint PDCD1. Histogram analysis combining central tendency and heterogeneity mpMRI features is promising for non-invasive HCC characterization on the imaging, histologic and genomics levels. |
format | Online Article Text |
id | pubmed-5446396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54463962017-05-30 Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging Hectors, Stefanie J. Wagner, Mathilde Bane, Octavia Besa, Cecilia Lewis, Sara Remark, Romain Chen, Nelson Fiel, M. Isabel Zhu, Hongfa Gnjatic, Sacha Merad, Miriam Hoshida, Yujin Taouli, Bachir Sci Rep Article Tumour heterogeneity poses a significant challenge for treatment stratification. The goals of this study were to quantify heterogeneity in hepatocellular carcinoma (HCC) using multiparametric magnetic resonance imaging (mpMRI), and to report preliminary data correlating quantitative MRI parameters with advanced histopathology and gene expression in a patient subset. Thirty-two HCC patients with 39 HCC lesions underwent mpMRI including diffusion-weighted imaging (DWI), blood-oxygenation-level-dependent (BOLD), tissue-oxygenation-level-dependent (TOLD) and dynamic contrast-enhanced (DCE)-MRI. Histogram characteristics [central tendency (mean, median) and heterogeneity (standard deviation, kurtosis, skewness) MRI parameters] in HCC and liver parenchyma were compared using Wilcoxon signed-rank tests. Histogram data was correlated between MRI methods in all patients and with histopathology and gene expression in 14 patients. HCCs exhibited significantly higher intra-tissue heterogeneity vs. liver with all MRI methods (P < 0.030). Although central tendency parameters showed significant correlations between MRI methods and with each of histopathology and gene expression, heterogeneity parameters exhibited additional complementary correlations between BOLD and DCE-MRI and with histopathologic hypoxia marker HIF1α and gene expression of Wnt target GLUL, pharmacological target FGFR4, stemness markers EPCAM and KRT19 and immune checkpoint PDCD1. Histogram analysis combining central tendency and heterogeneity mpMRI features is promising for non-invasive HCC characterization on the imaging, histologic and genomics levels. Nature Publishing Group UK 2017-05-26 /pmc/articles/PMC5446396/ /pubmed/28550313 http://dx.doi.org/10.1038/s41598-017-02706-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hectors, Stefanie J. Wagner, Mathilde Bane, Octavia Besa, Cecilia Lewis, Sara Remark, Romain Chen, Nelson Fiel, M. Isabel Zhu, Hongfa Gnjatic, Sacha Merad, Miriam Hoshida, Yujin Taouli, Bachir Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title | Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title_full | Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title_fullStr | Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title_full_unstemmed | Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title_short | Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
title_sort | quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446396/ https://www.ncbi.nlm.nih.gov/pubmed/28550313 http://dx.doi.org/10.1038/s41598-017-02706-z |
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