Article (Scientific journals)
Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis.
Guiot, Julien; Engelberts, Jonne; Henket, Monique et al.
2025In BMC Pulmonary Medicine, 25 (1), p. 488
Peer Reviewed verified by ORBi
 

Files


Full Text
20251027_s12890-025-03949-7.pdf
Publisher postprint (2.5 MB) Creative Commons License - Attribution, Non-Commercial, No Derivative
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Ai-based model; Idiopathic pulmonary fibrosis; Imaging; Interstitial lung disease; Radiology; Humans; Male; Female; Aged; Middle Aged; Cross-Sectional Studies; Tomography, X-Ray Computed; Respiratory Function Tests; Disease Progression; Longitudinal Studies; Idiopathic Pulmonary Fibrosis/diagnostic imaging; Idiopathic Pulmonary Fibrosis/mortality; Idiopathic Pulmonary Fibrosis/physiopathology; Idiopathic Pulmonary Fibrosis/pathology; Lung/diagnostic imaging; Lung/pathology; Lung/blood supply; Lung/physiopathology
Abstract :
[en] [en] BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease associated with high morbidity and mortality despite specific anti-fibrotic therapies. Management of IPF is complex and relies on pulmonary function tests (PFT) to evaluate severity and monitor progression. CT provides non-invasive morphologic assessment and emerging software techniques enable quantitative analysis. METHODS: We included 319 individuals with IPF from the OSIC dataset. A cross-sectional analysis was made for all patients, with a longitudinal evaluation for 143 of them. We used LungQ software (Thirona, The Netherlands) to quantify lung and pulmonary vessel volumes, as well as the extent of interstitial lung disease and to assess correlation with PFT and mortality. RESULTS: Quantitative extent of fibrotic abnormalities was correlated with baseline FVC and DLCO (r -0.47, p < 0.0001 and r -0.55, p < 0.0001 respectively) and longitudinal modifications over time (r -0.48, p < 0.0001 and r-0.43 p < 0.0001, respectively). Median baseline extent of ILD, expressed as a percentage of lung volume, was 16.5% (10.8-25.5) and increased to 17.3% (11.6-29) on follow-up (p < 0.001). The median ILD progression was of 9.8% (-9.5-40.0). Vascular enlargement quantification as well as ILD quantification were predictive marker of death (p < 0.0001). However, vascular abnormalities' independent predictive value could not be assessed in multivariate models due to multicollinearity with other variables. CONCLUSIONS: 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.
Disciplines :
Cardiovascular & respiratory systems
Author, co-author :
Guiot, Julien  ;  Université de Liège - ULiège > Département des sciences cliniques > Pneumologie - Allergologie
Engelberts, Jonne;  Thirona, Nijmegen, The Netherlands
Henket, Monique ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Ernst, Benoit  ;  Université de Liège - ULiège > GIGA > GIGA Immunobiology - Pneumology
Maloir, Quentin  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Louis, Renaud ;  Université de Liège - ULiège > Département des sciences cliniques > Pneumologie - Allergologie
Lynch, David A;  Department of Radiology, National Jewish Health, Denver, CO, USA
Humphries, Stephen M;  Department of Radiology, National Jewish Health, Denver, CO, USA
Charbonnier, Jean-Paul;  Thirona, Nijmegen, The Netherlands
Language :
English
Title :
Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis.
Publication date :
24 October 2025
Journal title :
BMC Pulmonary Medicine
eISSN :
1471-2466
Publisher :
Springer Science and Business Media LLC, England
Volume :
25
Issue :
1
Pages :
488
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
ERS - European Respiratory Society
Funding text :
European Respiratory Society – Clinical Research Collaboration
Available on ORBi :
since 27 October 2025

Statistics


Number of views
15 (2 by ULiège)
Number of downloads
15 (2 by ULiège)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0
OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBi