Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging

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

Research output: Contribution to journalArticle

27 Citations (Scopus)

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.

Original languageEnglish (US)
Article number2452
JournalScientific reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017
Externally publishedYes

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Hepatocellular Carcinoma
Magnetic Resonance Imaging
Gene Expression
Diffusion Magnetic Resonance Imaging
Liver
Nonparametric Statistics
Genomics
Pharmacology
Neoplasms
Therapeutics

ASJC Scopus subject areas

  • General

Cite this

Hectors, S. J., Wagner, M., Bane, O., Besa, C., Lewis, S., Remark, R., ... Taouli, B. (2017). Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging. Scientific reports, 7(1), [2452]. https://doi.org/10.1038/s41598-017-02706-z

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.

In: Scientific reports, Vol. 7, No. 1, 2452, 01.12.2017.

Research output: Contribution to journalArticle

Hectors, SJ, Wagner, M, Bane, O, Besa, C, Lewis, S, Remark, R, Chen, N, Fiel, MI, Zhu, H, Gnjatic, S, Merad, M, Hoshida, Y & Taouli, B 2017, 'Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging', Scientific reports, vol. 7, no. 1, 2452. https://doi.org/10.1038/s41598-017-02706-z
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. In: Scientific reports. 2017 ; Vol. 7, No. 1.
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