Evidence mapPaperPMID 39167186Full record

ReviewPediatric radiology2024

Quantitative MRI in children with Crohn's disease - where do we stand?

Pradipta Debnath, Jonathan R Dillman

Abstract readReview
In one paragraph

Review in Pediatric radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pradipta DebnathDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.ORCID 0000-0003-2590-7891
Jonathan R DillmanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Kasota Building MLC 5031, Cincinnati, OH, 45229, USA. jonathan.dillman@cchmc.org.ORCID 0000-0003-0124-0164

Funding

NIDDK NIH HHS 5R21DK114657-02NIDDK NIH HHS R21 DK114657
6 · The paper itself

Abstract

Crohn's disease (CD) is a chronic inflammatory condition that affects the gastrointestinal tract, particularly the ileum and colon. This disease is characterized by recurrent bouts of intestinal inflammation with subsequent bowel wall damage, including scarring (i.e., fibrosis) and abnormal smooth muscle proliferation. MR enterography, an MRI examination tailored to assess the small bowel, is a first-line diagnostic tool for diagnosing CD in children, characterization and monitoring of disease severity and extent, and assessment of disease-related complications. To date, such MRI evaluations have been mostly qualitative, which can adversely impact diagnostic performance and inter-radiologist agreement. Quantitative MRI methods have been shown to aid in the evaluation of a variety of medical conditions and have been increasingly investigated in children and adults with CD. In CD, such objective techniques have been used to assist with diagnosis, assess treatment response, and characterize bowel wall histologic abnormalities. In the current work, we will review quantitative MRI methods for detecting and measuring intestinal active inflammation (MRI-based scoring systems, T1 relaxation mapping, diffusion-weighted imaging, intra-voxel incoherent motion, mesenteric phase contrast), bowel wall damage (magnetization transfer), and motility (quantitative cine imaging) in small bowel CD, with an emphasis on the pediatric population.

Indexed as

Crohn DiseaseMagnetic Resonance ImagingAdolescentChildHumansImage Interpretation, Computer-AssistedChildCrohn’s diseaseEnterographyIleumInflammationIntestinesMagnetic resonance imagingQuantitative imaging

Identifiers

PMID39167186
PMCPMC11473599

What Socratic holds

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Registered trials

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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 Socratic graph.