TY - JOUR
T1 - Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
AU - Hectors, Stefanie J.
AU - Wagner, Mathilde
AU - Bane, Octavia
AU - Besa, Cecilia
AU - Lewis, Sara
AU - Remark, Romain
AU - Chen, Nelson
AU - Fiel, M. Isabel
AU - Zhu, Hongfa
AU - Gnjatic, Sacha
AU - Merad, Miriam
AU - Hoshida, Yujin
AU - Taouli, Bachir
N1 - Funding Information:
MW: Fondation ARC Contract grant number: SAE20140601302. SL: RSNA Research Seed Grant #RSD1608. SG: Clinical Strategy Teams Grants from the Cancer Research Institute; NIH Grant P01 CA1 90174. MM: NIH Grants R01 CA173861, U19 AI 128949, U24 AI 118644, U19 AI 117873. YH: NIH Grant R01 DK099558, EU Grant ERC- 2014-AdG-671231 HEPCIR, Irma T. Hirschl Trust, and U.S. Department of Defense W81XWH-16-1-0363. BT: NIH Grants U01 CA172320, 1R01DK087877.
Publisher Copyright:
© The Author(s) 2017.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85019756598&partnerID=8YFLogxK
U2 - 10.1038/s41598-017-02706-z
DO - 10.1038/s41598-017-02706-z
M3 - Article
C2 - 28550313
AN - SCOPUS:85019756598
SN - 2045-2322
VL - 7
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 2452
ER -