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Article

Volumetric visceral fat machine learning phenotype on CT for differential diagnosis of inflammatory bowel disease.

European radiology - 1 Mar 2023

Zhou Ziling, Xiong Ziman, Cheng Ran, Luo Qingyu, Li Yuanqiu, Xie Qingguo, Xiao Peng, Hu Daoyu, Hu Xuemei, Shen Yaqi, Li Zhen

Abstract excerpt

OBJECTIVES: To investigate whether volumetric visceral adipose tissue (VAT) features extracted using radiomics and three-dimensional convolutional neural network (3D-CNN) approach are effective in differentiating Crohn's disease (CD) and ulcerative colitis (UC). METHODS: This retrospective study enrolled 316 patients (mean age, 36.25 ± 13.58 [standard deviation]; 219 men) with confirmed diagnosis of CD and UC who...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 36255487
DOI: 10.1007/s00330-022-09171-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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