Evidence map›Paper›PMID 38940988›Full record

ArticleInsights into imaging2024

MRI radiomics enhances radiologists' ability for characterizing intestinal fibrosis in patients with Crohn's disease.

Mengchen Zhang, Yinghou Zeng, Zhuang-Nian Fang, Yang-di Wang, Ruo-Nan Zhang, Ziyin Ye, Qing-Hua Cao, Ren Mao, Canhui Sun, Zhi-Hui Chen and 2 more

Abstract read
In one paragraph

Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Mengchen Zhang *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Yinghou Zeng *Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, People's Republic of China.
Zhuang-Nian Fang *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Yang-di WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Ruo-Nan ZhangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Ziyin YeDepartment of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Qing-Hua CaoDepartment of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Canhui SunDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Zhi-Hui ChenGastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China. chzhhui@mail.sysu.edu.cn.
Bingsheng HuangMedical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, People's Republic of China. huangb@szu.edu.cn.
Xue-Hua LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China. lxueh@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7476-2644

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023B1515020070National Key & Program of China 2023YFC2507300National Natural Science Foundation of China 82070680
6 · The paper itself

Abstract

objectivesWe aimed to develop MRI-based radiomic models (RMs) to improve the diagnostic accuracy of radiologists in characterizing intestinal fibrosis in patients with Crohn's disease (CD).

methodsThis retrospective study included patients with refractory CD who underwent MR before surgery from November 2013 to September 2021. Resected bowel segments were histologically classified as none-mild or moderate-severe fibrosis. RMs based on different MR sequence combinations (RM1: T2WI and enhanced-T1WI; RM2: T2WI, enhanced-T1WI, diffusion-weighted imaging [DWI], and apparent diffusion coefficient [ADC]); RM3: T2WI, enhanced-T1WI, DWI, ADC, and magnetization transfer MRI [MTI]), were developed and validated in an independent test cohort. The RMs' diagnostic performance was compared to that of visual interpretation using identical sequences and a clinical model.

resultsThe final population included 123 patients (81 men, 42 women; mean age: 30.26 ± 7.98 years; training cohort, n = 93; test cohort, n = 30). The area under the receiver operating characteristic curve (AUC) of RM1, RM2, and RM3 was 0.86 (p = 0.001), 0.88 (p = 0.001), and 0.93 (p = 0.02), respectively. The decision curve analysis confirmed a progressive improvement in the diagnostic performance of three RMs with the addition of more specific sequences. All RMs performance surpassed the visual interpretation based on the same MR sequences (visual model 1, AUC = 0.65, p = 0.56; visual model 2, AUC = 0.63, p = 0.04; visual model 3, AUC = 0.77, p = 0.002), as well as the clinical model composed of C-reactive protein and erythrocyte sedimentation rate (AUC = 0.60, p = 0.13).

conclusionsThe RMs, utilizing various combinations of conventional, DWI and MTI sequences, significantly enhance radiologists' ability to accurately characterize intestinal fibrosis in patients with CD. CRITICAL RELEVANCE STATEMENT: The utilization of MRI-based RMs significantly enhances the diagnostic accuracy of radiologists in characterizing intestinal fibrosis. KEY POINTS: MRI-based RMs can characterize CD intestinal fibrosis using conventional, diffusion, and MTI sequences. The RMs achieved AUCs of 0.86-0.93 for assessing fibrosis grade. MRI-radiomics outperformed visual interpretation for grading CD intestinal fibrosis.

Indexed as

Crohn’s diseaseFibrosisMR enterographyRadiomics

Identifiers

PMID38940988
PMCPMC11213838

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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 OpenQuestion graph.