ReviewTopics in magnetic resonance imaging : TMRI2017
Liver Fibrosis Quantification by Magnetic Resonance Imaging.
Review in Topics in magnetic resonance imaging : TMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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
27 citing papers in PubMed, 53 citations in OpenAlex.
- In Vivo Microplastic Detection With Photoacoustic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Metabolic Dysfunction-Associated Steatotic Liver Disease: An Update Narrative Review of the Therapeutic Potential of Combining Probiotics and Metformin.Biomedicines · 2026Review
- Imaging-based fibrosis assessment and risk stratification in MASLD.Frontiers in medicine · 2026Review
- Quantitative Assessment of Liver Fibrosis: B1 Inhomogeneity-Corrected VFA T1 Mapping on Gadobenate Dimeglumine-Enhanced MRI.Current medical imaging · 2025Article
- The role of immune cells in cirrhosis: evidence from a two-sample Mendelian randomization study.Scientific reports · 2025Article
- Current Update on DWI-MRI and Its Radiomics in Liver Fibrosis-A Review of the Literature.Tomography (Ann Arbor, Mich.) · 2025Review
- Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy.Photoacoustics · 2025Article
- Staging liver fibrosis with various diffusion-weighted magnetic resonance imaging models.World journal of gastroenterology · 2024Article
- Radiotracers for Imaging of Fibrosis: Advances during the Last Two Decades and Future Directions.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Exploring the relationship between epigenetic DNA methylation and cardiac fibrosis through Raman microspectroscopy.American journal of physiology. Cell physiology · 2023Article
- Clinical Significance of Liver MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023Review
- Strategies and Techniques for Liver Magnetic Resonance Imaging: New and Pending Applications for Routine Clinical Practice.Korean journal of radiology · 2023Review
- Preclinical Long-term Magnetic Resonance Imaging Study of Silymarin Liver-protective Effects.Journal of clinical and translational hepatology · 2022Article
- Biodistribution Profile of Magnetic Nanoparticles in Cirrhosis-Associated Hepatocarcinogenesis in Rats by AC Biosusceptometry.Pharmaceutics · 2022Article
- Liver fibrosis quantification.Abdominal radiology (New York) · 2022Review
- Paediatric gastrointestinal and hepatobiliary radiology: why do we need subspecialists, and what is new?Pediatric radiology · 2021Review
- Diagnostic value of spleen stiffness by magnetic resonance elastography for prediction of esophageal varices in cirrhotic patients.Abdominal radiology (New York) · 2021Article
- Systemic Mastocytosis: Radiological Point of View.Mediterranean journal of hematology and infectious diseases · 2021Review
- Resveratrol contributes to the inhibition of liver fibrosis by inducing autophagy via the microRNA‑20a‑mediated activation of the PTEN/PI3K/AKT signaling pathway.International journal of molecular medicine · 2020Article
- Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis.Chinese medical journal · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liver fibrosis is a hallmark of chronic liver disease characterized by the excessive accumulation of extracellular matrix proteins. Although liver biopsy is the reference standard for diagnosis and staging of liver fibrosis, it has some limitations, including potential pain, sampling variability, and low patient acceptance. Hence, there has been an effort to develop noninvasive imaging techniques for diagnosis, staging, and monitoring of liver fibrosis. Many quantitative techniques have been implemented on magnetic resonance imaging (MRI) for this indication. The most widely validated technique is magnetic resonance elastography, which aims to measure viscoelastic properties of the liver and relate them to fibrosis stage. Several additional MRI methods have been developed or adapted to liver fibrosis quantification. Diffusion-weighted imaging measures the Brownian motion of water molecules which is restricted by collagen fibers. Texture analysis assesses the changes in the texture of liver parenchyma associated with fibrosis. Perfusion imaging relies on signal intensity and pharmacokinetic models to extract quantitative perfusion parameters. Hepatocellular function, which decreases with increasing fibrosis stage, can be estimated by the uptake of hepatobiliary contrast agents. Strain imaging measures liver deformation in response to physiological motion such as cardiac contraction. T1ρ quantification is an investigational technique, which measures the spin-lattice relaxation time in the rotating frame. This article will review the MRI techniques used in liver fibrosis staging, their advantages and limitations, and diagnostic performance. We will briefly discuss future directions, such as longitudinal monitoring of disease, prediction of portal hypertension, and risk stratification of hepatocellular carcinoma.
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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.