ArticleJournal of liver2019
Liver Fibrosis Conventional and Molecular Imaging Diagnosis Update.
Article in Journal of liver, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 39 citations in OpenAlex.
- Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study.JMIR medical informatics · 2025Article
- Downregulation of S100 calcium-binding A4 (S100A4) ameliorates hepatic fibrosisEuropean journal of histochemistry : EJH · 2025Article
- FAP-catalyzed in situ self-assembly of magnetic resonance imaging probe for early and precise staging of liver fibrosis.Science advances · 2025Article
- Exploring Biomarkers in Nonalcoholic Fatty Liver Disease Among Individuals With Type 2 Diabetes Mellitus.Journal of clinical gastroenterology · 2025Review
- Complications of image-guided liver biopsies: Results of a nationwide database analysis.PloS one · 2025Article
- Pharmacotherapy of Liver Fibrosis and Hepatitis: Recent Advances.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Validation of a multi-parameter algorithm for personalized contrast injection protocol in liver CT.European radiology experimental · 2024Article
- Advanced Techniques for Liver Fibrosis Detection: Spectral Photoacoustic Imaging and Superpixel Photoacoustic Unmixing Analysis for Collagen Tracking.Sensors (Basel, Switzerland) · 2024Article
- Radiology of fibrosis part II: abdominal organs.Journal of translational medicine · 2024Review
- Platelet-derived growth factor receptor β-targeted positron emission tomography imaging for the noninvasive monitoring of liver fibrosis.European journal of nuclear medicine and molecular imaging · 2024Article
- Advances in Noninvasive Molecular Imaging Probes for Liver Fibrosis Diagnosis.Biomaterials research · 2024Review
- Treatment of liver fibrosis: Past, current, and future.World journal of hepatology · 2023Review
- Assessing Liver Fibrosis Using 2D-SWE Liver Ultrasound Elastography and Dynamic Liver Scintigraphy with 99mTc-mebrofenin: A Comparative Prospective Single-Center Study.Medicina (Kaunas, Lithuania) · 2023Article
- Clinical relevance of shear wave elastography compared with transient elastography and other markers of liver fibrosis.Internal medicine journal · 2022Article
- Rethinking Liver Fibrosis Staging in Patients with Hepatocellular Carcinoma: New Insights from a Large Two-Center Cohort Study.Journal of hepatocellular carcinoma · 2022Article
- Prospective multicenter study on personalized and optimized MDCT contrast protocols: results on liver enhancement.European radiology · 2021Article
- Multiparametric magnetic resonance imaging/magnetic resonance elastography assesses progression and regression of steatosis, inflammation, and fibrosis in alcohol-associated liver disease.Alcoholism, clinical and experimental research · 2021Article
- Updates in the quantitative assessment of liver fibrosis for nonalcoholic fatty liver disease: Histological perspective.Clinical and molecular hepatology · 2021Review
- The Use of Two-Dimensional Shear Wave Elastography in People with Obesity for the Assessment of Liver Fibrosis in Non-Alcoholic Fatty Liver Disease.Journal of clinical medicine · 2020Review
- Quantification of liver function using gadoxetic acid-enhanced MRI.Abdominal radiology (New York) · 2020Review
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Liver fibrosis is a serious, life-threatening disease with high morbidity and mortality that result from diverse causes. Liver biopsy, considered the "gold standard" to diagnose, grade, and stage liver fibrosis, has limitations in terms of invasiveness, cost, sampling variability, inter-observer variability, and the dynamic process of fibrosis. Compelling evidence has demonstrated that all stages of fibrosis are reversible if the injury is removed. There is a clear need for safe, effective, and reliable non-invasive assessment modalities to determine liver fibrosis in order to manage it precisely in personalized medicine. However, conventional imaging methods used to assess morphological and structural changes related to liver fibrosis, including ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI), are only useful in assessing advanced liver disease, including cirrhosis. Functional imaging techniques, including MR elastography (MRE), US elastography, and CT perfusion are useful for assessing moderate to advanced liver fibrosis. MRE is considered the most accurate noninvasive imaging technique, and US elastography is currently the most widely used noninvasive means. However, these modalities are less accurate in early-stage liver fibrosis and some factors affect the accuracy of these techniques. Molecular imaging is a target-specific imaging mechanism that has the potential to accurately diagnose early-stage liver fibrosis. We provide an overview of recent advances in molecular imaging for the diagnosis and staging of liver fibrosis which will enable clinicians to monitor the progression of disease and potentially reverse liver fibrosis. We compare the promising technologies with conventional and functional imaging and assess the utility of molecular imaging in precision and personalized clinical medicine in the early stages of liver fibrosis.
Indexed as
Identifiers
31341723PMC6653681W2955572789What 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.