Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis

Background In patients with idiopathic pulmonary fibrosis (IPF) there is a need to identify biomarkers that 1) are associated with increased risk of adverse outcome and 2) can be used to monitor treatment response or identify disease progression over time. Methods Two consecutive cohorts of patients...

Full description

Saved in:
Bibliographic Details
Main Authors: Peter M. George, Christian Rennison-Jones, Giacomo Benvenuti, Aliki Sifostratoudaki, Finja A. Ottink, Wassim Bou-Zeid, Roberta E. Ledda, Roqia F. Abul Kadir, Bushra Johari, Claire Fernandez, George W.J. Harston, Olivier Joly, Stephen Gerry, Anand Devaraj
Format: Article
Language:English
Published: European Respiratory Society 2024-12-01
Series:ERJ Open Research
Online Access:http://openres.ersjournals.com/content/10/6/00570-2024.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841537042731761664
author Peter M. George
Christian Rennison-Jones
Giacomo Benvenuti
Aliki Sifostratoudaki
Finja A. Ottink
Wassim Bou-Zeid
Roberta E. Ledda
Roqia F. Abul Kadir
Bushra Johari
Claire Fernandez
George W.J. Harston
Olivier Joly
Stephen Gerry
Anand Devaraj
author_facet Peter M. George
Christian Rennison-Jones
Giacomo Benvenuti
Aliki Sifostratoudaki
Finja A. Ottink
Wassim Bou-Zeid
Roberta E. Ledda
Roqia F. Abul Kadir
Bushra Johari
Claire Fernandez
George W.J. Harston
Olivier Joly
Stephen Gerry
Anand Devaraj
author_sort Peter M. George
collection DOAJ
description Background In patients with idiopathic pulmonary fibrosis (IPF) there is a need to identify biomarkers that 1) are associated with increased risk of adverse outcome and 2) can be used to monitor treatment response or identify disease progression over time. Methods Two consecutive cohorts of patients with IPF were accessed from the Open Source Imaging Consortium database. Automated computed tomography (CT) biomarkers of disease severity incorporating fibrotic and pulmonary vascular features (the reticulovascular score and weighted reticulovascular score (WRVS)) were studied. Relationships between imaging biomarkers, lung function and survival were analysed. Results In separate test and validation cohorts, 168 and 176 patients with IPF respectively (median survival 2.6 years) were studied. A threshold of WRVS ≥15% at baseline CT was most strongly associated with transplant-free survival (HR 3.00, 95% CI 1.47–6.10, p=0.002) when adjusted for baseline forced vital capacity (FVC) and age. In patients with 12-month follow-up CT and lung function tests (n=89) an increase in 3% of WRVS (the minimal clinically important difference) was also significantly associated with reduced survival independent of FVC, and outperformed visual evaluation of progressive fibrosis. Conclusions WRVS is an automated CT biomarker which can identify patients with IPF at increased risk of progression and is able to reliably capture disease progression over time.
format Article
id doaj-art-90651a3f90114ce8a4112590e0126f9d
institution Kabale University
issn 2312-0541
language English
publishDate 2024-12-01
publisher European Respiratory Society
record_format Article
series ERJ Open Research
spelling doaj-art-90651a3f90114ce8a4112590e0126f9d2025-01-14T09:50:22ZengEuropean Respiratory SocietyERJ Open Research2312-05412024-12-0110610.1183/23120541.00570-202400570-2024Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosisPeter M. George0Christian Rennison-Jones1Giacomo Benvenuti2Aliki Sifostratoudaki3Finja A. Ottink4Wassim Bou-Zeid5Roberta E. Ledda6Roqia F. Abul Kadir7Bushra Johari8Claire Fernandez9George W.J. Harston10Olivier Joly11Stephen Gerry12Anand Devaraj13 Department of Interstitial Lung Disease, Royal Brompton Hospital, London, UK Brainomix, Oxford, UK Brainomix, Oxford, UK Brainomix, Oxford, UK Brainomix, Oxford, UK Brainomix, Oxford, UK Department of Medicine and Surgery, University of Parma, Parma, Italy Department of Radiology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Malaysia Department of Radiology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Malaysia Brainomix, Oxford, UK Brainomix, Oxford, UK Brainomix, Oxford, UK Centre for Statistics in Medicine, University of Oxford, Oxford, UK National Heart and Lung Institute, Imperial College, London, UK Background In patients with idiopathic pulmonary fibrosis (IPF) there is a need to identify biomarkers that 1) are associated with increased risk of adverse outcome and 2) can be used to monitor treatment response or identify disease progression over time. Methods Two consecutive cohorts of patients with IPF were accessed from the Open Source Imaging Consortium database. Automated computed tomography (CT) biomarkers of disease severity incorporating fibrotic and pulmonary vascular features (the reticulovascular score and weighted reticulovascular score (WRVS)) were studied. Relationships between imaging biomarkers, lung function and survival were analysed. Results In separate test and validation cohorts, 168 and 176 patients with IPF respectively (median survival 2.6 years) were studied. A threshold of WRVS ≥15% at baseline CT was most strongly associated with transplant-free survival (HR 3.00, 95% CI 1.47–6.10, p=0.002) when adjusted for baseline forced vital capacity (FVC) and age. In patients with 12-month follow-up CT and lung function tests (n=89) an increase in 3% of WRVS (the minimal clinically important difference) was also significantly associated with reduced survival independent of FVC, and outperformed visual evaluation of progressive fibrosis. Conclusions WRVS is an automated CT biomarker which can identify patients with IPF at increased risk of progression and is able to reliably capture disease progression over time.http://openres.ersjournals.com/content/10/6/00570-2024.full
spellingShingle Peter M. George
Christian Rennison-Jones
Giacomo Benvenuti
Aliki Sifostratoudaki
Finja A. Ottink
Wassim Bou-Zeid
Roberta E. Ledda
Roqia F. Abul Kadir
Bushra Johari
Claire Fernandez
George W.J. Harston
Olivier Joly
Stephen Gerry
Anand Devaraj
Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
ERJ Open Research
title Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
title_full Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
title_fullStr Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
title_full_unstemmed Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
title_short Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
title_sort evaluation of e lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis
url http://openres.ersjournals.com/content/10/6/00570-2024.full
work_keys_str_mv AT petermgeorge evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT christianrennisonjones evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT giacomobenvenuti evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT alikisifostratoudaki evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT finjaaottink evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT wassimbouzeid evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT robertaeledda evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT roqiafabulkadir evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT bushrajohari evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT clairefernandez evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT georgewjharston evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT olivierjoly evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT stephengerry evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis
AT ananddevaraj evaluationofelungautomatedquantitativecomputedtomographybiomarkersinidiopathicpulmonaryfibrosis