Predicted versus CT-derived total lung volume in a general population: The ImaLife study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 01 11 2022
accepted: 05 06 2023
medline: 19 6 2023
pubmed: 16 6 2023
entrez: 16 6 2023
Statut: epublish

Résumé

Predicted lung volumes based on the Global Lung Function Initiative (GLI) model are used in pulmonary disease detection and monitoring. It is unknown how well the predicted lung volume corresponds with computed tomography (CT) derived total lung volume (TLV). The aim of this study was to compare the GLI-2021 model predictions of total lung capacity (TLC) with CT-derived TLV. 151 female and 139 male healthy participants (age 45-65 years) were consecutively selected from a Dutch general population cohort, the Imaging in Lifelines (ImaLife) cohort. In ImaLife, all participants underwent low-dose, inspiratory chest CT. TLV was measured by an automated analysis, and compared to predicted TLC based on the GLI-2021 model. Bland-Altman analysis was performed for analysis of systematic bias and range between limits of agreement. To further mimic the GLI-cohort all analyses were repeated in a subset of never-smokers (51% of the cohort). Mean±SD of TLV was 4.7±0.9 L in women and 6.2±1.2 L in men. TLC overestimated TLV, with systematic bias of 1.0 L in women and 1.6 L in men. Range between limits of agreement was 3.2 L for women and 4.2 L for men, indicating high variability. Performing the analysis with never-smokers yielded similar results. In conclusion, in a healthy cohort, predicted TLC substantially overestimates CT-derived TLV, with low precision and accuracy. In a clinical context where an accurate or precise lung volume is required, measurement of lung volume should be considered.

Identifiants

pubmed: 37327210
doi: 10.1371/journal.pone.0287383
pii: PONE-D-22-30075
pmc: PMC10275439
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0287383

Informations de copyright

Copyright: © 2023 Wisselink et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Hendrik J Wisselink (HJ)

Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Danielle J D Steerenberg (DJD)

Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Mieneke Rook (M)

Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Department of Radiology, Martini Hospital, Groningen, The Netherlands.

Gert-Jan Pelgrim (GJ)

Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Marjolein A Heuvelmans (MA)

Department of Pulmonology, Medisch Spectrum Twente, Enschede, The Netherlands.
Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Maarten van den Berge (M)

Department of Pulmonology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Geertruida H de Bock (GH)

Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Rozemarijn Vliegenthart (R)

Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
DataScience in Health, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

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