Quantitative CT-derived vessel metrics in idiopathic pulmonary fibrosis: A structure-function study.


Journal

Respirology (Carlton, Vic.)
ISSN: 1440-1843
Titre abrégé: Respirology
Pays: Australia
ID NLM: 9616368

Informations de publication

Date de publication:
05 2019
Historique:
received: 03 09 2018
accepted: 09 01 2019
pubmed: 21 2 2019
medline: 18 4 2020
entrez: 21 2 2019
Statut: ppublish

Résumé

This study aimed to investigate whether quantitative lung vessel morphology determined by a new fully automated algorithm is associated with functional indices in idiopathic pulmonary fibrosis (IPF). A total of 152 IPF patients had vessel volume, density, tortuosity and heterogeneity quantified from computed tomography (CT) images by a fully automated algorithm. Separate quantitation of vessel metrics in pulmonary arteries and veins was performed in 106 patients. Results were evaluated against readouts from lung function tests. Normalized vessel volume expressed as a percentage of total lung volume was moderately correlated with functional indices on univariable linear regression analysis: forced vital capacity (R Our study confirms previous observations of links between vessel volume and functional measures of disease severity in IPF using a new vessel quantitation tool. Additionally, the new tool shows independent linkages of normalized vessel volume and vessel heterogeneity with functional indices. Quantitative vessel metrics do not appear to reflect vasculopathic damage in IPF.

Sections du résumé

BACKGROUND AND OBJECTIVE
This study aimed to investigate whether quantitative lung vessel morphology determined by a new fully automated algorithm is associated with functional indices in idiopathic pulmonary fibrosis (IPF).
METHODS
A total of 152 IPF patients had vessel volume, density, tortuosity and heterogeneity quantified from computed tomography (CT) images by a fully automated algorithm. Separate quantitation of vessel metrics in pulmonary arteries and veins was performed in 106 patients. Results were evaluated against readouts from lung function tests.
RESULTS
Normalized vessel volume expressed as a percentage of total lung volume was moderately correlated with functional indices on univariable linear regression analysis: forced vital capacity (R
CONCLUSION
Our study confirms previous observations of links between vessel volume and functional measures of disease severity in IPF using a new vessel quantitation tool. Additionally, the new tool shows independent linkages of normalized vessel volume and vessel heterogeneity with functional indices. Quantitative vessel metrics do not appear to reflect vasculopathic damage in IPF.

Identifiants

pubmed: 30786325
doi: 10.1111/resp.13485
pmc: PMC6519024
doi:

Substances chimiques

Carbon Monoxide 7U1EE4V452

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

445-452

Subventions

Organisme : Wellcome Trust
ID : 209553/Z/17/Z
Pays : United Kingdom

Informations de copyright

© 2019 The Authors Respirology published by John Wiley & Sons Australia, Ltd on behalf of Asian Pacific Society of Respirology.

Références

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Auteurs

Joseph Jacob (J)

Department of Respiratory Medicine, University College London, London, UK.
Centre for Medical Image Computing, University College London, London, UK.

Michael Pienn (M)

Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.

Christian Payer (C)

Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria.

Martin Urschler (M)

Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria.
Ludwig Boltzmann Institute for Clinical-Forensic Imaging, Graz, Austria.

Maria Kokosi (M)

Interstitial Lung Disease Unit, Royal Brompton Hospital, London, UK.

Anand Devaraj (A)

Department of Radiology, Royal Brompton Hospital, London, UK.

Athol U Wells (AU)

Interstitial Lung Disease Unit, Royal Brompton Hospital, London, UK.

Horst Olschewski (H)

Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.

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Classifications MeSH