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July 1, 2024World Journal of GastroenterologyOpen Access

Computed tomography-based radiomics combined with machine learning allows differentiation between primary intestinal lymphoma and Crohn's disease

Mengjun Xiao Yuteng Pan Jiahe Tan Haiou Li Haiyan Wang

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Abstract

Due to similar clinical manifestations and imaging signs, differential diagnosis of primary intestinal lymphoma (PIL) and Crohn's disease (CD) is a challenge in clinical practice.

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Cite This Study

Xiao et al. (2024) studied this question.

synapsesocial.com/papers/68e61f34b6db6435875b0bb0 https://doi.org/10.3748/wjg.v30.i25.3155

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Development and Assessment of a Computed Tomography Radiomics–Based Model to Distinguish Crohn’s Disease From Intestinal TuberculosisCohort Study · 2026
2Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn’s Disease and Intestinal Tuberculosis2024 · 10 citations
3Computed Tomography-Based Radiomics Analysis of Different Machine Learning Approaches for Differentiating Pulmonary Sarcomatoid Carcinoma and Pulmonary Inflammatory Pseudotumor2024
4Comparison of Radiomics and Deep Learning Using Intestinal Ultrasound Images for Differentiating Inflammatory and Fibrotic Intestinal Strictures in Crohn’s DiseaseRetrospective Study · 2025 · 4 citations
5Development of a Computed Tomography Enterography Based Radiomics Model to Characterize Inflammation, Fibrosis and Smooth Muscle Thickening in Stricturing Crohn’s DiseaseCross-Sectional Study · 2026 · 1 citations

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