Idiopathic pulmonary fibrosis: airway volume measurement identifies progressive disease on computed tomography scans. Issue 1 (17th February 2020)
- Record Type:
- Journal Article
- Title:
- Idiopathic pulmonary fibrosis: airway volume measurement identifies progressive disease on computed tomography scans. Issue 1 (17th February 2020)
- Main Title:
- Idiopathic pulmonary fibrosis: airway volume measurement identifies progressive disease on computed tomography scans
- Authors:
- McLellan, Thomas
George, Peter M.
Ford, Paul
De Backer, Jan
Van Holsbeke, Cedric
Mignot, Benjamin
Screaton, Nicholas J.
Ruggiero, Alessandro
Thillai, Muhunthan - Abstract:
- Idiopathic pulmonary fibrosis (IPF) is progressive condition with unclear aetiology and patients decline with heterogeneous trajectories. Whilst antifibrotic therapy can slow disease progression [1, 2], the ability to determine an individual's disease course is limited to measurement of pulmonary function (pulmonary function testing (PFT)) and visual assessment of computed tomography (CT) scans, both of which have limitations. PFT is affected by patient technique and operator experience [3]; CT scans rely on radiologist expertise to correctly interpret disease stability/progression and are subject to interobserver variability [4]. Recently, automated analysis of blood vessel volume has been shown to predict disease progression [5]. We hypothesised that a novel measurement of airway volume using functional respiratory imaging (FRI) could identify CT scans with more progressive disease. FRI is a semiautomated technique for segmenting thoracic CT anatomy, including airways up to the seventh generation, combined with flow simulation to derive volume and resistance measurements [6]. Images are usually compared at full inspiration (total lung capacity (TLC)) and functional residual capacity (passive expiration) for resistance calculations. However, imaging at TLC alone is sufficient to measure lung and airway volume. The robustness of FRI has been validated in obstructive airway disease, and in IPF has been explored in a small number of patients as part of a phase IIa trial ofIdiopathic pulmonary fibrosis (IPF) is progressive condition with unclear aetiology and patients decline with heterogeneous trajectories. Whilst antifibrotic therapy can slow disease progression [1, 2], the ability to determine an individual's disease course is limited to measurement of pulmonary function (pulmonary function testing (PFT)) and visual assessment of computed tomography (CT) scans, both of which have limitations. PFT is affected by patient technique and operator experience [3]; CT scans rely on radiologist expertise to correctly interpret disease stability/progression and are subject to interobserver variability [4]. Recently, automated analysis of blood vessel volume has been shown to predict disease progression [5]. We hypothesised that a novel measurement of airway volume using functional respiratory imaging (FRI) could identify CT scans with more progressive disease. FRI is a semiautomated technique for segmenting thoracic CT anatomy, including airways up to the seventh generation, combined with flow simulation to derive volume and resistance measurements [6]. Images are usually compared at full inspiration (total lung capacity (TLC)) and functional residual capacity (passive expiration) for resistance calculations. However, imaging at TLC alone is sufficient to measure lung and airway volume. The robustness of FRI has been validated in obstructive airway disease, and in IPF has been explored in a small number of patients as part of a phase IIa trial of pamrevlumab [6] and phase IIa trial for the autotaxin inhibitor GLPG1690. Whilst this second study was not powered to show a change in forced vital capacity (FVC), differences were seen in airway volume and resistance in those treated with the medication compared with placebo, but the placebo group was limited with only three patients [7]. Airways tell a tale: measuring change in airway volume using functional respiratory imaging can differentiate between stable and progressive idiopathic pulmonary fibrosis on CT scans #imagebiomarkers #ipf http://bit.ly/2M8KVLl … (more)
- Is Part Of:
- ERJ open research. Volume 6:Issue 1(2020)
- Journal:
- ERJ open research
- Issue:
- Volume 6:Issue 1(2020)
- Issue Display:
- Volume 6, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 6
- Issue:
- 1
- Issue Sort Value:
- 2020-0006-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02-17
- Subjects:
- Respiratory organs -- Diseases -- Periodicals
Respiration -- Periodicals
Respiration
Respiratory organs -- Diseases
Respiratory organs -- Diseases -- Treatment
Respiratory Tract Diseases
Electronic journals
Fulltext
Internet Resources
Periodicals
Periodical
616.2005 - Journal URLs:
- http://openres.ersjournals.com/ ↗
http://bibpurl.oclc.org/web/76947 ↗ - DOI:
- 10.1183/23120541.00290-2019 ↗
- Languages:
- English
- ISSNs:
- 2312-0541
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
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- 24852.xml