ReviewThe British journal of radiology2019
Quantitative pancreatic MRI: a pathology-based review.
Review in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative MR imaging biomarkers for distinguishing inflammatory pancreatic mass and pancreatic cancer-a systematic review and meta-analysis.European radiology · 2024Pooled it
- Quantifying Pancreatic Fat Using a Free-Breathing Acquisition in Adults With Obesity Undergoing Diet-Induced Weight Loss-Results From the LION Study.NMR in biomedicine · 2026Trial
- Free-Breathing Fat Quantification Using a Phase Error-Corrected Cartesian Acquisition With Spiral Profile Ordering.Magnetic resonance in medicine · 2026Article
- Diagnostic Performance of Transabdominal Ultrasonography for Pancreatic Fat in Adults with Metabolic Risk Factors for NAFPD: Comparison with a Study-Defined Two-Echo MRI Index.Diagnostics (Basel, Switzerland) · 2026Article
- Intrapancreatic Fat and Risk of Pancreatic Ductal Adenocarcinoma-Pathophysiology, Clinical Implications, and Future Directions.International journal of molecular sciences · 2026Review
- Accelerated motion-robust abdominal 3D T1ρ mapping using diamond radial sampling.Magnetic resonance in medicine · 2026Article
- Emerging non-invasive imaging biomarkers of Ki-67 in pancreatic cancer: Toward predictive precision oncology.World journal of gastrointestinal oncology · 2025Article
- T1 Mapping of the Abdomen, From theAJR. American journal of roentgenology · 2025Review
- Advances in MRI of Chronic Pancreatitis.Advances in clinical radiology · 2024Article
- T1 and T2-mapping in pancreatic MRI: Current evidence and future perspectives.European journal of radiology open · 2024Article
- Genome-wide association study of pancreatic fat: The Multiethnic Cohort Adiposity Phenotype Study.PloS one · 2021Article
- 7-T MRI of explanted liver and ex-vivo pancreatic specimens: prospective study protocol of radiological-pathological correlation feasibility (the EXLIPSE project).European radiology experimental · 2020Article
- Evaluation of pancreatic steatosis prevalence and anthropometric measurements using non-contrast computed tomography.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020Article
- The efficacy of the 3-dimensional vibe-caipirinha-dixon technique in the evaluation of pancreatic steatosisTurkish journal of medical sciences · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MRI plays an important role in the clinical management of pancreatic disorders and interpretation is reliant on qualitative assessment of anatomy. Conventional sequences capturing pancreatic structure can however be adapted to yield quantitative measures which provide more diagnostic information, with a view to increasing diagnostic accuracy, improving patient stratification, providing robust non-invasive outcome measures for therapeutic trials and ultimately personalizing patient care. In this review, we evaluate the use of established techniques such as secretin-enhanced MR cholangiopancreatography, diffusion-weighted imaging,
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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.