ReviewFrontiers in medicine2022
Assessment of Liver Function With MRI: Where Do We Stand?
Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- Comparison of liver T1 estimates generated by breath-hold 3D FSPGR and free-breathing 3D radial stack-of-stars FSPGR variable flip angle T1 mapping sequences.European journal of radiology open · 2026Article
- CT Radiomics to Predict Regenerative Biomarker Expression after Liver Venous Embolization: Proof-of-Concept in a Porcine Model.Journal of vascular and interventional radiology : JVIR · 2026Article
- Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026Review
- Regional Liver Function Assessment UsingAnnals of surgical oncology · 2025Article
- Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.Advances in radiation oncology · 2025Article
- Effects of cerium oxide nanoparticle on liver oxidative stress and morphological changes in opium withdrawal rats.Toxicology reports · 2025Article
- Risk stratification prior to major hepatectomy.Hepatobiliary surgery and nutrition · 2024Article
- Magnetic Resonance Imaging and Manganism: A Narrative Review and Laboratory Recommendations.Journal of clinical medicine · 2024Review
- LiMAx test and ultrasound elastography to measure biomarkers of declining liver function in patients with liver fibrosis: A correlation analysis.Clinical hemorheology and microcirculation · 2024Article
- Volume-Assisted Estimation of Remnant Liver Function Based on Gd-EOB-DTPA Enhanced MR Relaxometry: A Prospective Observational Trial.Diagnostics (Basel, Switzerland) · 2023Article
- Effect of body mass index (BMI) on image contrast in the hepatobiliary phase of Gd-EOB-DTPA-enhanced-MRI and the feasibility of the application of half-dose Gd-EOB-DTPA to hepatobiliary phase imaging in patients with a BMI less than 24: a comparative study.Quantitative imaging in medicine and surgery · 2023Article
- Effect of Hepatic Pathology on Liver Regeneration: The Main Metabolic Mechanisms Causing Impaired Hepatic Regeneration.International journal of molecular sciences · 2023Review
- Liver PET Reloaded: Automated Synthesis of [Diagnostics (Basel, Switzerland) · 2023Article
- Neural Network in the Analysis of the MR Signal as an Image Segmentation Tool for the Determination of TInternational journal of molecular sciences · 2023Article
- Article
- Quantitative Analysis of Liver Disease Using MRI-Based Radiomic Features of the Liver and Spleen.Journal of imaging · 2022Article
- MELIF, a Fully Automated Liver Function Score Calculated from Gd-EOB-DTPA-Enhanced MR Images: Diagnostic Performance vs. the MELD Score.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liver disease and hepatocellular carcinoma (HCC) have become a global health burden. For this reason, the determination of liver function plays a central role in the monitoring of patients with chronic liver disease or HCC. Furthermore, assessment of liver function is important, e.g., before surgery to prevent liver failure after hepatectomy or to monitor the course of treatment. Liver function and disease severity are usually assessed clinically based on clinical symptoms, biopsy, and blood parameters. These are rather static tests that reflect the current state of the liver without considering changes in liver function. With the development of liver-specific contrast agents for MRI, noninvasive dynamic determination of liver function based on signal intensity or using T1 relaxometry has become possible. The advantage of this imaging modality is that it provides additional information about the vascular structure, anatomy, and heterogeneous distribution of liver function. In this review, we summarized and discussed the results published in recent years on this technique. Indeed, recent data show that the T1 reduction rate seems to be the most appropriate value for determining liver function by MRI. Furthermore, attention has been paid to the development of automated tools for image analysis in order to uncover the steps necessary to obtain a complete process flow from image segmentation to image registration to image analysis. In conclusion, the published data show that liver function values obtained from contrast-enhanced MRI images correlate significantly with the global liver function parameters, making it possible to obtain both functional and anatomic information with a single modality.
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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.