ArticleEuropean radiology2017
Hepatic stiffness measurement by using MR elastography: prognostic values after hepatic resection for hepatocellular carcinoma.
Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Assessment of the postoperative prognosis in patients with hepatocellular carcinoma using vibration-controlled transient elastography: A systemic review and meta-analysis.Clinical and molecular hepatology · 2024Pooled it
- Pooled it
- Multi-institutional survey on abdominopelvic applications of MR elastography.European radiology · 2026Article
- Mechanical Signaling: Molecular Mechanisms, Biological Functions, Diseases, and Therapeutic Targets.MedComm · 2025Review
- Current status of preoperative risk assessment for posthepatectomy liver failure in patients with hepatocellular carcinoma.Annals of gastroenterological surgery · 2023Review
- Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma.Gut and liver · 2022Article
- Diagnostic Performance of a Comprehensive Risk Model for Posthepatectomy Liver Failure.Gut and liver · 2022Article
- Magnetic resonance elastography of the liver: everything you need to know to get started.Abdominal radiology (New York) · 2022Review
- Magnetic resonance imaging for characterization of hepatocellular carcinoma metabolism.Frontiers in physiology · 2022Review
- 2D shear wave elastography is better than transient elastography in predicting post-hepatectomy complication after resection.European radiology · 2021Article
- Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review.Journal of gastrointestinal oncology · 2021Article
- Quantitative Ultrasound Radiofrequency Data Analysis for the Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease Using Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference Standard.Korean journal of radiology · 2021Article
- Liver stiffness in magnetic resonance elastography is prognostic for sorafenib-treated advanced hepatocellular carcinoma.European radiology · 2021Article
- The Advance of Magnetic Resonance Elastography in Tumor Diagnosis.Frontiers in oncology · 2021Review
- Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function.Frontiers in physiology · 2021Review
- Two-Dimensional-Shear Wave Elastography with a Propagation Map: Prospective Evaluation of Liver Fibrosis Using Histopathology as the Reference Standard.Korean journal of radiology · 2020Article
- MR elastography of liver: current status and future perspectives.Abdominal radiology (New York) · 2020Review
- New frontiers in liver resection for hepatocellular carcinoma.JHEP reports : innovation in hepatology · 2020Review
- Liver stiffness measured by MR elastography is a predictor of early HCC recurrence after treatment.European radiology · 2020Article
- Updates on Imaging of Liver Tumors.Current oncology reports · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate prognostic value of hepatic stiffness (HS) measurement using MR elastography (MRE) in patients with hepatocellular carcinoma (HCC) treated by hepatic resection (HR).
methodsWe enrolled 144 patients with Barcelona Clinic Liver Cancer stage A HCCs initially treated by HR who underwent preoperative liver MRE between January 2010 and June 2013. HS values were measured using MRE. Receiver operating characteristics (ROC) and multivariate logistic regression analyses were used to determine significant predictive factors for posthepatecomy liver failure (PHLF). Overall survival (OS) was analyzed by evaluating prognostic factors using the Kaplan-Meier method and Cox proportional hazard regression model.
resultsAfter HR, 43 patients (29.9 %) experienced PHLF. HS values were significant predictive factors for PHLF. In ROC analysis, the area under the curve of HS was 0.740 (P = 0.001) for PHLF. Thirty-one patients had HS values ≥ 4.02 kPa; the estimated 1, 3, 5-year survival were 90.0 %, 74.7 % and 65.4 %, respectively, versus 98.1 %, 96.5 % and 96.5 % in 113 patients with HS values < 4.02 kPa (P = 0.015). An HS value ≥ 4.02 kPa was the only significant affecting factor for OS.
conclusionHS values measured by MRE could predict PHLF development post-HR. Furthermore, an HS value ≥4.02 kPa was a significant predicting factor for poor OS post-HR. KEY POINTS: • Hepatic stiffness value was a predictive factor for developing posthepatectomy liver failure • Hepatic stiffness value was a significant affecting factor for OS • Hepatic stiffness value ≥ 4.02 kPa was a predictive factor for poor OS.
Indexed as
Identifiers
27456966What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.