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

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...

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Autores principales: Wisselink, Hendrik J., Steerenberg, Danielle J. D., Rook, Mieneke, Pelgrim, Gert-Jan, Heuvelmans, Marjolein A., van den Berge, Maarten, de Bock, Geertruida H., Vliegenthart, Rozemarijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275439/
https://www.ncbi.nlm.nih.gov/pubmed/37327210
http://dx.doi.org/10.1371/journal.pone.0287383
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author Wisselink, Hendrik J.
Steerenberg, Danielle J. D.
Rook, Mieneke
Pelgrim, Gert-Jan
Heuvelmans, Marjolein A.
van den Berge, Maarten
de Bock, Geertruida H.
Vliegenthart, Rozemarijn
author_facet Wisselink, Hendrik J.
Steerenberg, Danielle J. D.
Rook, Mieneke
Pelgrim, Gert-Jan
Heuvelmans, Marjolein A.
van den Berge, Maarten
de Bock, Geertruida H.
Vliegenthart, Rozemarijn
author_sort Wisselink, Hendrik J.
collection PubMed
description 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.
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spelling pubmed-102754392023-06-17 Predicted versus CT-derived total lung volume in a general population: The ImaLife study Wisselink, Hendrik J. Steerenberg, Danielle J. D. Rook, Mieneke Pelgrim, Gert-Jan Heuvelmans, Marjolein A. van den Berge, Maarten de Bock, Geertruida H. Vliegenthart, Rozemarijn PLoS One Research Article 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. Public Library of Science 2023-06-16 /pmc/articles/PMC10275439/ /pubmed/37327210 http://dx.doi.org/10.1371/journal.pone.0287383 Text en © 2023 Wisselink et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wisselink, Hendrik J.
Steerenberg, Danielle J. D.
Rook, Mieneke
Pelgrim, Gert-Jan
Heuvelmans, Marjolein A.
van den Berge, Maarten
de Bock, Geertruida H.
Vliegenthart, Rozemarijn
Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title_full Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title_fullStr Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title_full_unstemmed Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title_short Predicted versus CT-derived total lung volume in a general population: The ImaLife study
title_sort predicted versus ct-derived total lung volume in a general population: the imalife study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275439/
https://www.ncbi.nlm.nih.gov/pubmed/37327210
http://dx.doi.org/10.1371/journal.pone.0287383
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