Semi‐Automatic Assessment of Crohn's Disease Activity by Combined Analysis of Bowel Lesions and Creeping Fat

20260 citationsJournal Articlehybrid Open Access

Authors

Antoine Kneib · Inserm

Astrée Lemore · Inserm

Gabriela Hossu · Inserm

Laurent Peyrin‐Biroulet · Centre Hospitalier Régional et Universitaire de Nancy

V Laurent · Inserm

Freddy Odille · Inserm

Abstract

Crohn-BOOST enables fast, reproducible 3D quantification on routine MR Enterography and supports objective estimation of radiological disease activity. Lesion volume and ADC show strong associations with sMaRIA and Nancy scores, while creeping fat volume appears more related to chronic remodeling than acute inflammation.

Topics & Keywords

Inflammatory Bowel Disease Radiomics and Machine Learning in Medical Imaging MRI in cancer diagnosis

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Magnetic Resonance in Medicine

DOI: 10.1002/mrm.70328

Field-Weighted Citation Impact: 0.00