Evidence map›Paper›PMID 29300851›Full record

ArticleJournal of Crohn's & colitis2018

Magnetic Resonance Imaging Predicts Histopathological Composition of Ileal Crohn's Disease.

Mathilde Wagner, Huaibin Mabel Ko, Manjil Chatterji, Cecilia Besa, Joana Torres, Xiaofei Zhang, Hinaben Panchal, Stefanie Hectors, Judy Cho, Jean-Frederic Colombel and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Crohn's & colitis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
5.5field-weighted citation impact, top 4% of its field
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

35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Review
  9. Crohn Disease Strictures: Multimodality Imaging to Identify Imaging Biomarkers.Radiographics : a review publication of the Radiological Society of North America, Inc · 2025
    Review
  10. Article
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  13. Article
  14. Review
  15. Review
  16. Review
  17. Anti-fibrotics in inflammatory bowel diseases: Challenges and successes.Advances in pharmacology (San Diego, Calif.) · 2024
    Review
  18. How to Evaluate Fibrosis in IBD?Diagnostics (Basel, Switzerland) · 2023
    Review
  19. Review
  20. Review
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

12 authors at 3 institutions in 2 countries.

Mathilde WagnerTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Huaibin Mabel KoDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Manjil ChatterjiDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Cecilia BesaTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joana TorresDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Xiaofei ZhangDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hinaben PanchalDivision of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stefanie HectorsTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Judy ChoDivision of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jean-Frederic ColombelDivision of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Noam HarpazDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bachir TaouliTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USImaging Center · USSorbonne Université · FR

Funding

Precision IBD via genetics and genomics: integrating International and multi-omic datasets, expanding studies in diverse populations, and defining mechanisms of unmet clinical needs in IBDU24DK062429 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ling-shiang Chuang, Ron Do · 2017 to 2026
$13.9M
Yale University Inflammatory Bowel Disease Genetics Research CenterU01DK062422 · NIDDK · YALE UNIVERSITY · PI Ling-shiang Chuang · 2002 to 2026
$10.8M
NIDDK NIH HHS U01 DK062422NIDDK NIH HHS U24 DK062429
6 · The paper itself

Abstract

BACKGROUND AND

aimsRecently, smooth muscle hypertrophy has been suggested to be a contributor to small bowel lesions secondary to Crohn's disease [CD], in addition to inflammation and fibrosis. Here, we assess the value of magnetic resonance imaging [MRI] for the characterisation of histopathological tissue composition of small bowel CD, including inflammation, fibrosis, and smooth muscle hypertrophy.

methodsA total of 35 consecutive patients [male/female 17/18, mean age 33 years] with ileal CD, who underwent small bowel resection and a preoperative contrast-enhanced MRI examination within 1 month before surgery, were retrospectively included. Image assessment included qualitative [pattern/degree of enhancement, presence of ulcerations/fistulas/abscesses] and quantitative parameters [wall thickness on T2/T1-weighted images [WI], enhancement ratios, apparent diffusion coefficient [ADC], Clermont and Magnetic Resonance Index of Activity [MaRIA] scores). MRI parameters were compared with histopathological findings including active inflammation, collagen deposition, and muscle hypertrophy using chi square/Fisher or Mann-Whitney tests and univariate/multivariate logistic/linear regression analyses.

resultsForty ileal segments were analysed in 35 patients. Layered pattern at early-post-contrast phase was more prevalent (odds ratio [OR] = 8; p = 0.008), ADC was significantly lower [OR = 0.005; p = 0.022], and MaRIA score was significantly higher [OR = 1.125; p = 0.022] in inflammation grades 2-3 compared with grade 1. Wall thickness on T2WI was significantly increased [OR = 1.688; p = 0.043], and fistulas [OR = 14.5; p = 0.017] were more prevalent in segments with disproportionately increased muscle hypertrophy versus those with disproportionately increased fibrosis. MaRIA/Clermont scores, wall thickness on T1WI and T2WI, and ADC were all significantly correlated with degree of muscular hypertrophy.

conclusionsMRI predicts the degree of inflammation, and can distinguish prominent muscle hypertrophy from prominent fibrosis in ileal CD with reasonable accuracy (area under receiver operating characteristic curve [AUROC] > 0.7).

Indexed as

AdolescentAdultArea Under CurveCrohn DiseaseDiffusion Magnetic Resonance ImagingFemaleFibrosisHumansHypertrophyIleitisMagnetic Resonance ImagingMaleMiddle AgedMuscle, SmoothPredictive Value of TestsROC Curve

Identifiers

PMID29300851
PMCPMC7189968
OpenAlexW2782330100

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.