ArticleScientific reports2017
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.
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Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
- Long non‑coding RNA HOTTIP promotes hepatocellular carcinoma tumorigenesis and development: A comprehensive investigation based on bioinformatics, qRT‑PCR and meta‑analysis of 393 cases.International journal of oncology · 2017Pooled it
- Tumour hypoxia in clinical oncology: imaging, therapeutic strategies, and translational challenges.Clinical and translational radiation oncology · 2027Review
- Radiogenomic landscape of the hallmarks of cancer.Biomarker research · 2026Review
- Multiparametric magnetic resonance imaging, diffusion-weighted magnetic resonance imaging, and magnetic resonance elastography: differentiating benign and malignant liver lesions.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Accelerated motion-robust abdominal 3D T1ρ mapping using diamond radial sampling.Magnetic resonance in medicine · 2026Article
- Prediction of PD-1 Expression and Outcomes of Combined Therapy in Hepatocellular Carcinoma: an MRI-Based Radiomics Approach.Journal of imaging informatics in medicine · 2026Article
- Targeting tumoral heterogeneity in lung cancer: a novel, CT-texture-guided targeted biopsy approach with exome sequencing.NPJ precision oncology · 2025Article
- Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Hepatocellular Carcinoma: A Review of Emerging Applications for Locoregional Therapy.Bioengineering (Basel, Switzerland) · 2025Review
- Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index ofVeterinary sciences · 2025Article
- MRI Parameters and Clinicopathologic Features in Predicting Hepatocellular Carcinomas With Aggressive-Related Marker Expression, Defined by Epithelial Cell Adhesion Molecule and Glypican-3 Status.International journal of general medicine · 2025Article
- From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Advanced Imaging of Hepatocellular Carcinoma: A Review of Current and Novel Techniques.Journal of gastrointestinal cancer · 2024Review
- Chip collection of hepatocellular carcinoma based on ONature communications · 2024Article
- Multiparametric MRI for characterization of the tumour microenvironment.Nature reviews. Clinical oncology · 2024Review
- Focal Lesions of the Liver and Radiomics: What Do We Know?Diagnostics (Basel, Switzerland) · 2023Review
- Functional Imaging of Hypoxia: PET and MRI.Cancers · 2023Review
- TThe British journal of radiology · 2023Article
- Radiomic Analysis Based on Magnetic Resonance Imaging for Predicting PD-L2 Expression in Hepatocellular Carcinoma.Cancers · 2023Article
- Texture analysis on routine MRI sequences to differentiate between focal nodular hyperplasia and hepatocellular adenoma.Polish journal of radiology · 2023Article
- Role of radiomics in the diagnosis and treatment of gastrointestinal cancer.World journal of gastroenterology · 2022Review
8 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
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.
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Registered trials
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