Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Abstract 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 par...
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Nature Portfolio
2017
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oai:doaj.org-article:39f4514f50d24738a39c08b39ae948172021-12-02T12:32:52ZQuantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging10.1038/s41598-017-02706-z2045-2322https://doaj.org/article/39f4514f50d24738a39c08b39ae948172017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02706-zhttps://doaj.org/toc/2045-2322Abstract 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.Stefanie J. HectorsMathilde WagnerOctavia BaneCecilia BesaSara LewisRomain RemarkNelson ChenM. Isabel FielHongfa ZhuSacha GnjaticMiriam MeradYujin HoshidaBachir TaouliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017) |
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Medicine R Science Q Stefanie J. Hectors Mathilde Wagner Octavia Bane Cecilia Besa Sara Lewis Romain Remark Nelson Chen M. Isabel Fiel Hongfa Zhu Sacha Gnjatic Miriam Merad Yujin Hoshida Bachir Taouli Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
| description |
Abstract 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 |
article |
| author |
Stefanie J. Hectors Mathilde Wagner Octavia Bane Cecilia Besa Sara Lewis Romain Remark Nelson Chen M. Isabel Fiel Hongfa Zhu Sacha Gnjatic Miriam Merad Yujin Hoshida Bachir Taouli |
| author_facet |
Stefanie J. Hectors Mathilde Wagner Octavia Bane Cecilia Besa Sara Lewis Romain Remark Nelson Chen M. Isabel Fiel Hongfa Zhu Sacha Gnjatic Miriam Merad Yujin Hoshida Bachir Taouli |
| author_sort |
Stefanie J. Hectors |
| title |
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
| title_short |
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_sort |
quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/39f4514f50d24738a39c08b39ae94817 |
| work_keys_str_mv |
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| _version_ |
1718393911827759104 |