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

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dc.contributor.author Jacob, Joseph en
dc.contributor.author Pienn, Michael en
dc.contributor.author Payer, Christian en
dc.contributor.author Urschler, Martin en
dc.contributor.author Kokosi, Maria en
dc.contributor.author Devaraj, Anand en
dc.contributor.author Wells, Athol U en
dc.contributor.author Olschewski, Horst en
dc.date.accessioned 2019-09-25T21:42:32Z en
dc.date.issued 2019-05 en
dc.identifier.issn 1323-7799 en
dc.identifier.uri http://hdl.handle.net/2292/47937 en
dc.description.abstract 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 (R2 = 0.27, P < 1 × 10-6 ), diffusion capacity for carbon monoxide (DLCO ; R2 = 0.12, P = 3 × 10-5 ), total lung capacity (TLC; R2 = 0.45, P < 1 × 10-6 ) and composite physiologic index (CPI; R2 = 0.28, P < 1 × 10-6 ). Normalized vessel volume was correlated with vessel density but not with vessel heterogeneity. Quantitatively derived vessel metrics (and artery and vein subdivision scores) were not significantly linked with the transfer factor for carbon monoxide (KCO ), and only weakly with DLCO . On multivariable linear regression analysis, normalized vessel volume and vessel heterogeneity were independently linked with DLCO , TLC and CPI indicating that they capture different aspects of lung damage. Artery-vein separation provided no additional information beyond that captured in the whole vasculature. 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. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Respirology (Carlton, Vic.) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject Pulmonary Artery en
dc.subject Humans en
dc.subject Carbon Monoxide en
dc.subject Radiographic Image Interpretation, Computer-Assisted en
dc.subject Tomography, X-Ray Computed en
dc.subject Vital Capacity en
dc.subject Tidal Volume en
dc.subject Pulmonary Diffusing Capacity en
dc.subject Severity of Illness Index en
dc.subject Algorithms en
dc.subject Adult en
dc.subject Aged en
dc.subject Aged, 80 and over en
dc.subject Middle Aged en
dc.subject Female en
dc.subject Male en
dc.subject Idiopathic Pulmonary Fibrosis en
dc.title Quantitative CT-derived vessel metrics in idiopathic pulmonary fibrosis: A structure-function study. en
dc.type Journal Article en
dc.identifier.doi 10.1111/resp.13485 en
pubs.issue 5 en
pubs.begin-page 445 en
pubs.volume 24 en
dc.rights.holder Copyright: The author en
pubs.end-page 452 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.elements-id 776160 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
dc.identifier.eissn 1440-1843 en
pubs.record-created-at-source-date 2019-02-21 en
pubs.dimensions-id 30786325 en


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