Evidence map›Paper›PMID 41139179›Full record

ArticleInsights into imaging2025

Novel endoluminal parameters for predicting primary loss of response in Crohn's disease: a multi-center study.

Ruchen Yao, Changsheng Cai, Jie Liang, Feng Tian, Xiaocang Cao, Yue Li, Yubei Gu, Qi Feng, Jun Shen, Mimic Inflammatory Bowel Disease Research Group

Abstract read
In one paragraph

Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

10 authors.

Ruchen YaoRenji Hospital, School of Medicine, Shanghai Jiao Tong University; Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center; Shanghai Institute of Digestive Disease, Shanghai, China.
Changsheng CaiRenji Hospital, School of Medicine, Shanghai Jiao Tong University; Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center; Shanghai Institute of Digestive Disease, Shanghai, China.
Jie LiangState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China.
Feng TianDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, China.
Xiaocang CaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, China.
Yue LiDepartment of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yubei GuDepartment of Gastroenterology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qi FengDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. fengqi_renji@126.com.
Jun ShenRenji Hospital, School of Medicine, Shanghai Jiao Tong University; Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center; Shanghai Institute of Digestive Disease, Shanghai, China. shenjun_renji@126.com.ORCID http://orcid.org/0000-0002-5195-1610
Mimic Inflammatory Bowel Disease Research Group

Funding

2022 Baoshan Medical and Health Project 2023-E-10, 2023-E-13the Most Important Discipline, Baoshan Medical Key Discipline and Characteristic Brand Construction Project BSZK-2023-Z06
6 · The paper itself

Abstract

objectivesApproximately 30% of patients with Crohn's disease (CD) experience primary loss of response (PLR) to ustekinumab. However, studies integrating imaging parameters to predict PLR remain limited. This study aimed to quantify endoluminal and intestinal wall parameters using computed tomography enterography (CTE) and assess their predictive value for PLR to ustekinumab. MATERIALS AND

methodsThis multicenter study analyzed 466 intestinal segments from 161 patients with CD between March 2020 and May 2024. A national survey identified 10 CTE parameters for evaluating disease activity and predicting PLR. Logistic regression models were used to assess predictive performance in a validation cohort.

resultsTen CTE parameters related to lesion characterization-including length, luminal narrowing, and bowel wall thickness-were defined, with newly introduced metrics, including length, area, effective luminal diameter (EffLD), mean bowel wall thickness, and stenosis. A total of 352 baseline and 114 follow-up segments from 161 patients across six centers were analyzed to assess changes following ustekinumab treatment. Paired analysis across all patients showed significant improvements in eight parameters (p < 0.001); in contrast, unpaired comparisons between PLR and non-PLR groups revealed significant differences in six parameters (p < 0.001), with greater improvements in the non-PLR group. EffLD emerged as an independent predictor of ustekinumab response, with an AUC of 0.858 and an accuracy of 0.780 in the validation cohort.

conclusionsNovel endoluminal parameters, particularly EffLD, provide a detailed characterization of intestinal lesions in inflammatory bowel disease and exhibit strong predictive value for PLR in ustekinumab-treated patients with CD. CRITICAL RELEVANCE STATEMENT: This study first applied cardiovascular imaging software to quantify endoluminal CT enterography parameters, establishing effective luminal diameter as a novel, clinically applicable predictor of ustekinumab response in Crohn's disease. KEY POINTS: Cardiovascular imaging software can facilitate image analysis in Crohn's disease. Endoluminal CT enterography parameters predict primary loss of response in Crohn's disease. Effective luminal diameter independently predicts ustekinumab response.

Indexed as

Crohn’s diseaseEndoluminal parametersPrimary loss of responseUstekinumab

Identifiers

PMID41139179
PMCPMC12553649

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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.