ArticleDigestive diseases and sciences2018
Contributions of Magnetic Resonance Imaging to Gastroenterological Practice: MRIs for GIs.
Article in Digestive diseases and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 17 citations in OpenAlex.
- Optimizing multiple diagnostic modalities for small bowel evaluation: a strategic approach.The Korean journal of internal medicine · 2026Review
- Internal Fistulas Discovered on Cross-Sectional Imaging Predict Future Intra-Abdominal Abscesses.Gastro hep advances · 2025Article
- A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier.Computational intelligence and neuroscience · 2022Article
- Additional Value of IntegratedKorean journal of radiology · 2021Article
- The diagnostic performance of the Gynecologic Imaging Reporting and Data System (GI-RADS) in adnexal masses.Annals of translational medicine · 2021Article
- Quantitative pancreatic MRI: a pathology-based review.The British journal of radiology · 2019Review
- Hepatic R2* is more strongly associated with proton density fat fraction than histologic liver iron scores in patients with nonalcoholic fatty liver disease.Journal of magnetic resonance imaging : JMRI · 2019Article
- MRI of the Colon in the Pharmaceutical Field: The Future before us.Pharmaceutics · 2019Review
- Magnetic resonance imaging findings in patients with initial manifestations of perianal fistulas.Annals of Saudi medicineObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MRI has transformed from the theoretical, investigative realm to mainstream clinical medicine over the past four decades and has become a core component of the diagnostic toolbox in the practice of gastroenterology (GI). Its success is attributable to exquisite contrast and the ability to isolate specific proton species through the use of different pulse sequences (i.e., T1-weighted, T2-weighted, diffusion-weighted) and exploiting extracellular and hepatobiliary contrast agents. Consequently, MRI has gained preeminence in various GI clinical applications: liver and pancreatic lesion evaluation and detection, liver transplantation evaluation, pancreatitis evaluation, Crohn's disease evaluation (using MR enterography) rectal cancer staging and perianal fistula evaluation. MR elastography, in concert with technical innovations allowing for fat and iron quantification, provides a noninvasive approach, or "MRI virtual liver biopsy" for diagnosis and management of chronic liver diseases. In the future, the arrival of ultra-high-field MR systems (7 T) and the ability to perform magnetic resonance spectroscopy in the abdomen promise even greater diagnostic insight into chronic liver disease.
Indexed as
Identifiers
What 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.