Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Year: 2017
Type: article
Study design: Observational Study
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.
Source: Scientific Reports
Language: English
Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
Funders: U.S. Department of Defense, Cancer Research Institute, Radiological Society of North America, Irma T. Hirschl Trust, Fondation ARC pour la Recherche sur le Cancer, National Institutes of Health, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, H2020 European Research Council
Awards: G1182645271, G1213006584, Evaluation of HCC Response to Systemic Therapy with Quantitative MRI, Modeling Early Immunity to Human Influenza Infection, G2242847330, G2611696034, G4119534169, G4864279032, G5850682332, G589551644, GENE REGULATORY NETWORKS AS TARGETS AND BIOMARKERS FOR LIVER CANCER CHEMOPREVENTION AFTER CLEARANCE OF ONCOGENIC HEPATITIS C VIRUS, Novel tools to maximize profiling of tissue and antigen specific immune dysregulation in allergy and inflammatory bowel disesase, Cell circuits as targets and biomarkers for liver disease and cancer prevention, G9000050301, G9000158586, G9000207212, G9000222058
OpenAlex ID: W2618357680
