Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis

LungQ allows to quantify interstitial and vascular lung features and their changes over time in a large cohort of patients with IPF. Imaging markers were negatively correlated with PFT at baseline and follow-ups were predictive of mortality confirming their potential as disease quantifiers. Further clinical validation is needed to specify the potential clinical use.

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2025-10-24
DOI
https://doi.org/10.1186/s12890-025-03949-7
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
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Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis

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Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis

Renaud Louis, David A. Lynch, Quentin Maloir, Julien Guiot, Benoit Ernst, Jonne Engelberts, Stephen M. Humphries, Monique Henket, Jean-Paul Charbonnier
article en

Abstract

LungQ allows to quantify interstitial and vascular lung features and their changes over time in a large cohort of patients with IPF. Imaging markers were negatively correlated with PFT at baseline and follow-ups were predictive of mortality confirming their potential as disease quantifiers. Further clinical validation is needed to specify the potential clinical use.

BMC Pulmonary MedicineVol. 25(1)
University of Liège (BE), National Jewish Health (US), Centre Hospitalier Universitaire de Liège (BE), University of Colorado Denver (US)
Openalex Percentile: Top 56%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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