Evidence map›Paper›PMID 30635756›Full record

ArticleEuropean radiology2019

Ability of DWI to characterize bowel fibrosis depends on the degree of bowel inflammation.

Xue-Hua Li, Ren Mao, Si-Yun Huang, Zhuang-Nian Fang, Bao-Lan Lu, Jin-Jiang Lin, Shan-Shan Xiong, Min-Hu Chen, Zi-Ping Li, Can-Hui Sun and 1 more

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06858553 (A Prospective, Multi-center Study to Characterize Intestinal Fibrosis in Patients With Crohn's Disease), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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.

NCT06858553 recruitingnot on this mapstarted 2025, after this paper: background citation

A Prospective, Multi-center Study to Characterize Intestinal Fibrosis in Patients With Crohn's Disease (CD) Using MR Enterography (MRE)-Based Artificial Intelligence

Typeobservational_patient_registrySponsorMinhu ChenRan2025 to 2027Enrolled234ConditionsCrohn Disease (CD)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Crohn Disease Strictures: Multimodality Imaging to Identify Imaging Biomarkers.Radiographics : a review publication of the Radiological Society of North America, Inc · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. How to Evaluate Fibrosis in IBD?Diagnostics (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

11 authors at 2 institutions in 1 country.

Xue-Hua LiDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Si-Yun HuangDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Zhuang-Nian FangDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Bao-Lan LuDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Jin-Jiang LinDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Shan-Shan XiongDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Min-Hu ChenDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Zi-Ping LiDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Can-Hui SunDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China. canhuisun@sina.com.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China. fengsht@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81500501National Natural Science Foundation of China 81600508National Natural Science Foundation of China 81770654National Natural Science Foundation of China 81870451
6 · The paper itself

Abstract

objectivesAlthough diffusion-weighted imaging (DWI) is reported to be accurate in detecting bowel inflammation in Crohn's disease (CD), its ability to assess bowel fibrosis remains unclear. This study assessed the role of DWI in the characterization of bowel fibrosis using surgical histopathology as the reference standard.

methodsAbdominal DWI was performed before elective surgery in 30 consecutive patients with CD. The apparent diffusion coefficients (ADCs) in pathologic bowel walls were calculated. Region-by-region correlations between DWI and the surgical specimens were performed to determine the histologic degrees of bowel fibrosis and inflammation.

resultsADCs correlated negatively with bowel inflammation (r = - 0.499, p < 0.001) and fibrosis (r = - 0.464, p < 0.001) in 90 specimens; the ADCs in regions of nonfibrosis and mild fibrosis were significantly higher than those in regions of moderate-severe fibrosis (p = 0.008). However, there was a significant correlation between the ADCs and bowel fibrosis (r = - 0.641, p = 0.001) in mildly inflamed segments but not in moderately (r = - 0.274, p = 0.255) or severely (r = - 0.225, p = 0.120) inflamed segments. In the mildly inflamed segments, the ADCs had good accuracy with an area under the receiver-operating characteristic curve of 0.867 (p = 0.004) for distinguishing nonfibrosis and mild fibrosis from moderate-severe fibrosis.

conclusionsADC can be used to assess bowel inflammation in patients with CD. However, it only enables the accurate detection of the degree of bowel fibrosis in mildly inflamed bowel walls. Therefore, caution is advised when using ADC to predict the degree of intestinal fibrosis. KEY POINTS: • Diffusion-weighted imaging was used to assess bowel inflammation in patients with Crohn's disease. • The ability of diffusion-weighted imaging to evaluate bowel fibrosis decreased with increasing bowel inflammation. • Diffusion-weighted imaging enabled accurate detection of the degree of fibrosis only in mildly inflamed bowel walls.

Indexed as

AdultCrohn DiseaseDiffusion Magnetic Resonance ImagingFemaleFibrosisHumansInflammationIntestinesMaleProspective StudiesROC CurveCrohn’s diseaseDiffusion magnetic resonance imagingFibrosis

Identifiers

PMID30635756
OpenAlexW2910821070

What OpenQuestion holds

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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.