ArticleHepatology international2022
Magnetic resonance elastography and proton density fat fraction predict adverse outcomes in hepatocellular carcinoma.
Article in Hepatology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 10 citations in OpenAlex.
- Intratumoral Proton Density Fat Fraction Predicts the Outcome of HAIC Combined With PD-1 Inhibitors in Advanced Hepatocellular Carcinoma.Cancer medicine · 2026Article
- Noninvasive Prediction of High Ki-67 Expression in Hepatocellular Carcinoma Using Multiparametric MRI and Clinical Biomarkers.Journal of hepatocellular carcinoma · 2026Article
- Progress of functional magnetic resonance imaging in the assessment of transplanted kidney function.Renal failure · 2025Review
- Disparate patterns of disease time burden in patients with HCC on immunotherapy or tyrosine kinase inhibitors.JHEP reports : innovation in hepatology · 2025Article
- Hepatocellular carcinoma: Advances in systemic therapies.F1000Research · 2024Review
- Clinical practice guidelines and real-life practice on hepatocellular carcinoma: the Hong Kong perspective.Clinical and molecular hepatology · 2023Review
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13 authors at 4 institutions in 2 countries.
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Abstract
backgroundMagnetic resonance (MR) elastography and proton density fat fraction (PDFF) are emerging techniques for non-invasive assessment of liver stiffness and steatosis, respectively. We investigated the role of MR metrics in pre-treatment prognostication of hepatocellular carcinoma (HCC).
methodsPatients with newly diagnosed HCC were prospectively recruited. Pre-treatment MR elastography and PDFF were performed on tumor and non-tumor regions. HCC treatment was categorized as potentially curative (resection/ablation) or non-curative (locoregional/systemic therapy). HCC recurrence, liver-related complications (ascites/ variceal bleeding/ hepatic encephalopathy) and mortality were monitored.
resultsOf the 158 recruited patients (mean age 62.9 years, 84.2% male, 82.9% viral hepatitis), 58.2% (n = 92) and 41.8% (n = 66) received potentially curative and non-curative therapy, respectively. Pre-treatment non-tumor liver stiffness independently predicted liver-related complications, regardless of treatment type (HR 1.384, 95% CI 1.067-1.796, p = 0.014). In the potentially curative therapy group, non-tumor stiffness and non-tumor PDFF were independently associated with HCC recurrence (HR 1.308, 95% CI 1.022-1.673 & HR 1.080, 95% CI 1.009-1.156 respectively, both p < 0.05); and non-tumor PDFF predicted mortality (HR 1.160, 95% CI 1.038-1.296, p = 0.009). In the non-curative group, tumor stiffness independently predicted liver-related complications (HR 1.299, 95% CI 1.023-1.651, p = 0.032), and a combination of tumor stiffness ≥ 5.7 kPa plus non-tumor stiffness ≥ 3.7 kPa was associated with a two-fold risk of liver-related complications (86.7% vs 40.0%, p < 0.001).
conclusionPre-treatment MR elastography and PDFF over tumor and non-tumor regions demonstrated prognosticating roles in HCC. Simultaneous measurements of both metrics during conventional MR liver should be considered in the diagnostic workup of HCC.
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