Evidence map›Paper›PMID 42395102›Full record

ArticleWorld journal of radiology2026

Value of dual energy computed tomography with material decomposition algorithm in assessing intestinal creeping fat in Crohn's disease.

Li-Wei Dong, Hui-Juan Chen, Chao-Chao Chen, Cheng Lan

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Article in World journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Li-Wei DongDepartment of Radiology, Hainan General Hospital, Hainan Medical University Hainan Hospital, Haikou 570311, Hainan Province, China.
Hui-Juan ChenDepartment of Radiology, Hainan General Hospital, Hainan Medical University Hainan Hospital, Haikou 570311, Hainan Province, China.
Chao-Chao ChenDepartment of Gastroenterology, Hainan General Hospital, Hainan Medical University Hainan Hospital, Haikou 570311, Hainan Province, China.
Cheng LanDepartment of Gastroenterology, Hainan General Hospital, Hainan Medical University Hainan Hospital, Haikou 570311, Hainan Province, China. lancheng71@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile next-generation dual-energy computed tomography (DECT) has demonstrated utility for fat quantification in various clinical applications, its potential to characterize intestinal creeping fat (CrF) and to correlate these imaging finding with specific molecular pathways in Crohn's disease (CD) remains poorly studied.

aimTo assess the value of DECT with the material decomposition (MMD) algorithm in quantifying CrF in patients with CD, and to explore the impact of CrF on intestinal inflammation, fibrosis, adipogenesis, and expression of mucosal barrier-related genes.

methodsPatients with active or quiescent CD and healthy controls were included for clinical, endoscopic, and DECT imaging assessments. The MMD algorithm was used to quantify CrF. Inflammatory and fibrotic changes were scored histologically. Expression of tumor necrosis factor-α, transforming growth factor-β, peroxisome proliferator-activated receptor gamma 2, and occludin was measured by immunohistochemistry and quantitative real-time polymerase chain reaction.

resultsDECT provided high-quality images and allowed quantification of CrF. CrF volume was significantly higher in active CD patients than in healthy controls (104.67 ± 26.51

conclusionDECT with the MMD algorithm can effectively quantify intestinal CrF in CD. The quantified CrF correlates well with clinical, endoscopic, histopathological, and molecular indicators of disease activity and intestinal barrier dysfunction. This approach may serve as a useful noninvasive tool for assessing CD.

Indexed as

Creeping fatCrohn’s diseaseDual-source computed tomographyOccludinPeroxisome proliferator-activated receptor gamma 2

Identifiers

PMID42395102
PMCPMC13324792

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