ArticleAnnals of translational medicine2020
Preoperative prediction of hepatocellular carcinoma with highly aggressive characteristics using quantitative parameters derived from hepatobiliary phase MR images.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of radiomics in predicting Ki-67 and cytokeratin 19 expression in hepatocellular carcinoma: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- The value of gadobenate dimeglumine-enhanced MRI quantification in predicting aggressiveness and prognosis of typical intrahepatic mass-forming cholangiocarcinoma: a multicenter retrospective study.Insights into imaging · 2026Article
- Associations between the SMARS score derived from CT and MRI with histopathological features in HCC.Scientific reports · 2025Article
- Histogram analysis of multiple mathematical diffusion-weighted imaging models for preoperative prediction of Ki-67 expression in hepatocellular carcinoma.Frontiers in oncology · 2025Article
- Associations between dynamic-contrast enhanced MRI with histopathological features in atypical HCC using spatial co-registration with biopsy.American journal of translational research · 2025Article
- A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma.BMC medical imaging · 2024Article
- Radiomics analysis of R2* maps to predict early recurrence of single hepatocellular carcinoma after hepatectomy.Frontiers in oncology · 2024Article
- A model incorporating histopathology and preoperative gadoxetic acid-enhanced MRI to predict early recurrence of hepatocellular carcinoma without microvascular invasion after curative hepatectomy.The British journal of radiology · 2023Article
- Gadoxetic acid-enhanced MRI combined with T1 mapping and clinical factors to predict Ki-67 expression of hepatocellular carcinoma.Frontiers in oncology · 2023Article
- Prediction of Histological Grades and Ki-67 Expression of Hepatocellular Carcinoma Based on Sonazoid Contrast Enhanced Ultrasound Radiomics Signatures.Diagnostics (Basel, Switzerland) · 2022Article
- Hyperpolarized carbon 13 MRI in liver diseases: Recent advances and future opportunities.Liver international : official journal of the International Association for the Study of the Liver · 2022Review
- Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study.Frontiers in oncology · 2022Article
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8 authors.
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Abstract
backgroundTo prospectively determine whether the quantitative imaging parameters derived from the hepatobiliary phase (HBP) can be used for the preoperative prediction of hepatocellular carcinoma (HCC) with highly aggressive characteristics.
methodsOne hundred and three patients with surgical-proven HCC were included from July 2015 to June 2018. Two independent reviewers measured signal intensity (SI) of liver and tumor, and quantitative parameters, including relative tumor enhancement (RTE), tumor to liver contrast ratio (TLR), tumor enhancement index (TEI), and relative enhancement ratio (RER) were calculated. The aggressive characteristics of HCC were identified by using the Ki-67 labeling index (LI), and patients were classified into low aggressive (Ki-67 LI ≤10%) and high aggressive (Ki-67 LI >10%) groups. The difference of quantitative parameters between two groups was assessed, and the correlation between quantitative parameters and Ki-67 LI was explored. Receiver operating characteristic analyses was used to evaluate the predictive performance of quantitative parameters.
resultsThe values of RTE, TLR, TEI, and RER, were significantly lower in the highly aggressive group than low aggressive group (P<0.05), and negative correlations were obtained between these quantitative parameters and Ki-67 LI (
conclusionsTLR showed the highest predictive performance in highly aggressive HCC. Quantitative parameters based on HBP could preoperatively predict the aggressiveness of HCC.
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