ArticleEuropean journal of radiology2022
MR elastography as a biomarker for prediction of early and late recurrence in HBV-related hepatocellular carcinoma patients before hepatectomy.
Article in European journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Artificial intelligence for the prediction of posthepatectomy recurrence in hepatocellular carcinoma: a systematic review and meta-analysis.Annals of medicine · 2025Pooled it
- Preoperative prediction power of radiomics and non-radiomics methods based on MRI for early recurrence in hepatocellular carcinoma: a systemic review and meta-analysis.Abdominal radiology (New York) · 2024Pooled it
- Amide proton transfer-weighted imaging in predicting aggressiveness of hepatocellular carcinoma: comparison with diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2026Article
- Prognostic significance of the liver stiffness value on magnetic resonance imaging elastography in patients undergoing hepatectomy for hepatocellular carcinoma.Surgery today · 2025Observational
- Risk Factors for Recurrence in Patients with Hepatocellular Carcinoma After Curative Resection or Ablation.Journal of hepatocellular carcinoma · 2025Review
- Apparent diffusion coefficient and tissue stiffness are associated with different tumor microenvironment features of hepatocellular carcinoma.European radiology · 2024Article
- AC099850.3 promotes HBV-HCC cell proliferation and invasion through regulating CD276: a novel strategy for sorafenib and immune checkpoint combination therapy.Journal of translational medicine · 2024Article
- Diffusion-based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Magnetic resonance elastography for the prediction of hepatocellular carcinoma in chronic hepatitis B.JGH open : an open access journal of gastroenterology and hepatology · 2024Article
- Prediction of late recurrence after curative-intent resection using MRI-measured spleen volume in patients with hepatocellular carcinoma and cirrhosis.Insights into imaging · 2024Article
- Stiffness on shear wave elastography as a potential microenvironment biomarker for predicting tumor recurrence in HBV-related hepatocellular carcinoma.Insights into imaging · 2023Article
- Evaluation of Spleen Stiffness in Young Healthy Volunteers Using Magnetic Resonance Elastography.Diagnostics (Basel, Switzerland) · 2023Article
- Advances in application of novel magnetic resonance imaging technologies in liver disease diagnosis.World journal of gastroenterology · 2023Review
- The value of quantitative MR elastography-based stiffness for assessing the microvascular invasion grade in hepatocellular carcinoma.European radiology · 2023Article
- Hepatocellular carcinoma: State of the art diagnostic imaging.World journal of radiology · 2023Review
- Perioperative predictors of outcome of hepatectomy for HBV-related hepatocellular carcinoma.Frontiers in oncology · 2023Review
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeTo investigate the diagnostic performance of preoperative MR elastography (MRE) in predicting early recurrence (ER) and late recurrence (LR) of HCC after hepatectomy.
methodIn total, 180 patients (median age, 52 years; interquartile range, 41-50 years; 161 men) who underwent conventional MRI and MRE before hepatectomy between December 2014 and April 2020 were retrospectively recruited. A preoperative clinic-radiologic model and a combined postoperative clinic-pathologic and radiologic model were built using quantitatively MRE-derived stiffnesses, and image features to predict tumor ER and LR after hepatectomy. The Cox proportional hazards model and ROC analyses were used to identify the value of parameters to predict ER and LR.
resultsSeventy-three (40.5%) and 16 (8.9%) developed ER and LR after hepatectomy, respectively. For prediction of ER, the preoperative model integrated higher tumor stiffness (TS) (hazard ratio [HR],1.142; p < 0.001) with AFP ≥ 400 ng/mL (HR,1.761; p = 0.022), multifocal tumors (HR,3.229; p < 0.001) and lower ADC (HR,0.998; p = 0.017) variables; and the postoperative model incorporated higher TS, microvascular invasion, multifocal tumors, Child-Pugh class and ADC predictors. The two models provided comparable predictive performance (pre- 0.812 vs. post- 0.834, p = 0.283). Moreover, TS alone had a high sensitivity (90.4%) for predicting ER. Liver stiffness (LS) (HR, 1.757; p < 0.001) was the only independent predictor for LR in multivariate analysis in both the pre- and postoperative models with high specificity (90.0%), and its AUC with an optimal cut-off of 3.62 kPa was 0.860.
conclusionsQuantitative MRE-based stiffness is a useful biomarker for preoperative prediction of ER and LR of HCC.
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