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Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis

BACKGROUND: Markers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis...

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Autores principales: Wu, Joyce K Y, Ma, Jin, Nguyen, Lena, Dehaas, Emily Leah, Vasileva, Anastasiia, Chang, Ehren, Liang, Jady, Huang, Qian Wen, Cassano, Antonio, Binnie, Matthew, Shapera, Shane, Fisher, Jolene, Ryan, Clodagh M, McInnis, Micheal Chad, Hantos, Zoltán, Chow, Chung-Wai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996008/
https://www.ncbi.nlm.nih.gov/pubmed/35396320
http://dx.doi.org/10.1136/bmjresp-2021-001163
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author Wu, Joyce K Y
Ma, Jin
Nguyen, Lena
Dehaas, Emily Leah
Vasileva, Anastasiia
Chang, Ehren
Liang, Jady
Huang, Qian Wen
Cassano, Antonio
Binnie, Matthew
Shapera, Shane
Fisher, Jolene
Ryan, Clodagh M
McInnis, Micheal Chad
Hantos, Zoltán
Chow, Chung-Wai
author_facet Wu, Joyce K Y
Ma, Jin
Nguyen, Lena
Dehaas, Emily Leah
Vasileva, Anastasiia
Chang, Ehren
Liang, Jady
Huang, Qian Wen
Cassano, Antonio
Binnie, Matthew
Shapera, Shane
Fisher, Jolene
Ryan, Clodagh M
McInnis, Micheal Chad
Hantos, Zoltán
Chow, Chung-Wai
author_sort Wu, Joyce K Y
collection PubMed
description BACKGROUND: Markers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis. The current prospective cross-sectional study investigated whether respiratory oscillometry provides complementary data to pulmonary function tests (PFTs) and is correlated with PVV. METHODS: From September 2019 to March 2020, we enrolled 89 patients with IPF diagnosed according to international guidelines. We performed standard spectral (5–37 Hz) and novel intrabreath tracking (10 Hz) oscillometry followed by PFTs. Patients were characterised with the gender-age-physiology (GAP) score. CT images within 6 months of oscillometry were analysed in a subgroup (26 patients) using automated lung texture analysis. Correlations between PFTs, oscillometry and imaging variables were investigated using different regression models. FINDINGS: The cohort (29F/60M; age=71.7±7.8 years) had mild IPF (%FVC=70±17, %DLCO=62±17). Spectral oscillometry revealed normal respiratory resistance, low reactance, especially during inspiration at 5 Hz (X5in), elevated reactance area and resonance frequency. Intrabreath oscillometry identified markedly low reactance at end-inspiration (XeI). XeI and X5in strongly correlated with FVC (r(2)=0.499 and 0.435) while XeI was highly (p=0.004) and uniquely correlated with the GAP score. XeI and PVV exhibited the strongest structural-functional relationship (r(2)=0.690), which remained significant after adjusting for %FVC, %DLCO and GAP score. INTERPRETATION: XeI is an independent marker of IPF severity that offers additional information to standard PFTs. The data provide a cogent rationale for adding oscillometry in IPF assessment.
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spelling pubmed-89960082022-04-27 Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis Wu, Joyce K Y Ma, Jin Nguyen, Lena Dehaas, Emily Leah Vasileva, Anastasiia Chang, Ehren Liang, Jady Huang, Qian Wen Cassano, Antonio Binnie, Matthew Shapera, Shane Fisher, Jolene Ryan, Clodagh M McInnis, Micheal Chad Hantos, Zoltán Chow, Chung-Wai BMJ Open Respir Res Interstitial Lung Disease BACKGROUND: Markers of idiopathic pulmonary fibrosis (IPF) severity are based on measurements of forced vital capacity (FVC), diffusing capacity (DLCO) and CT. The pulmonary vessel volume (PVV) is a novel quantitative and independent prognostic structural indicator derived from automated CT analysis. The current prospective cross-sectional study investigated whether respiratory oscillometry provides complementary data to pulmonary function tests (PFTs) and is correlated with PVV. METHODS: From September 2019 to March 2020, we enrolled 89 patients with IPF diagnosed according to international guidelines. We performed standard spectral (5–37 Hz) and novel intrabreath tracking (10 Hz) oscillometry followed by PFTs. Patients were characterised with the gender-age-physiology (GAP) score. CT images within 6 months of oscillometry were analysed in a subgroup (26 patients) using automated lung texture analysis. Correlations between PFTs, oscillometry and imaging variables were investigated using different regression models. FINDINGS: The cohort (29F/60M; age=71.7±7.8 years) had mild IPF (%FVC=70±17, %DLCO=62±17). Spectral oscillometry revealed normal respiratory resistance, low reactance, especially during inspiration at 5 Hz (X5in), elevated reactance area and resonance frequency. Intrabreath oscillometry identified markedly low reactance at end-inspiration (XeI). XeI and X5in strongly correlated with FVC (r(2)=0.499 and 0.435) while XeI was highly (p=0.004) and uniquely correlated with the GAP score. XeI and PVV exhibited the strongest structural-functional relationship (r(2)=0.690), which remained significant after adjusting for %FVC, %DLCO and GAP score. INTERPRETATION: XeI is an independent marker of IPF severity that offers additional information to standard PFTs. The data provide a cogent rationale for adding oscillometry in IPF assessment. BMJ Publishing Group 2022-04-08 /pmc/articles/PMC8996008/ /pubmed/35396320 http://dx.doi.org/10.1136/bmjresp-2021-001163 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Interstitial Lung Disease
Wu, Joyce K Y
Ma, Jin
Nguyen, Lena
Dehaas, Emily Leah
Vasileva, Anastasiia
Chang, Ehren
Liang, Jady
Huang, Qian Wen
Cassano, Antonio
Binnie, Matthew
Shapera, Shane
Fisher, Jolene
Ryan, Clodagh M
McInnis, Micheal Chad
Hantos, Zoltán
Chow, Chung-Wai
Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title_full Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title_fullStr Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title_full_unstemmed Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title_short Correlation of respiratory oscillometry with CT image analysis in a prospective cohort of idiopathic pulmonary fibrosis
title_sort correlation of respiratory oscillometry with ct image analysis in a prospective cohort of idiopathic pulmonary fibrosis
topic Interstitial Lung Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996008/
https://www.ncbi.nlm.nih.gov/pubmed/35396320
http://dx.doi.org/10.1136/bmjresp-2021-001163
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