Quantifying ventilation by X-ray velocimetry in healthy adults.

Functional lung imaging Ventilation heterogeneity X-ray velocimetry

Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
30 Aug 2023
Historique:
received: 07 04 2023
accepted: 18 08 2023
medline: 1 9 2023
pubmed: 31 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

X-ray velocimetry (XV) has been utilized in preclinical models to assess lung motion and regional ventilation, though no studies have compared XV-derived physiologic parameters to measures derived through conventional means. To assess agreement between XV-analysis of fluoroscopic lung images and pitot tube flowmeter measures of ventilation. XV- and pitot tube-derived ventilatory parameters were compared during tidal breathing and with bilevel-assisted breathing. Levels of agreement were assessed using the Bland-Altman analysis. Mixed models were used to characterize the association between XV- and pitot tube-derived values and optimize XV-derived values for higher ventilatory volumes. Twenty-four healthy volunteers were assessed during tidal breathing and 11 were reassessed with increased minute ventilation with bilevel-assisted breathing. No clinically significant differences were observed between the two methods for respiratory rate (average Δ: 0.58; 95% limits of agreement: -1.55, 2.71) or duty cycle (average Δ: 0.02; 95% limits of agreement: 0.01, 0.03). Tidal volumes and flow rates measured using XV were lower than those measured using the pitot tube flowmeter, particularly at the higher volume ranges with bilevel-assisted breathing. Under these conditions, a mixed-model based adjustment was applied to the XV-derived values of tidal volume and flow rate to obtain closer agreement with the pitot tube-derived values. Radiographically obtained measures of ventilation with XV demonstrate a high degree of correlation with parameters of ventilation. If the accuracy of XV were also confirmed for assessing the regional distribution of ventilation, it would provide information that goes beyond the scope of conventional pulmonary function tests or static radiographic assessments.

Identifiants

pubmed: 37649012
doi: 10.1186/s12931-023-02517-z
pii: 10.1186/s12931-023-02517-z
pmc: PMC10469820
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

215

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Trishul Siddharthan (T)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA. tsiddhar@miami.edu.

Kyle Grealis (K)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

Jason P Kirkness (JP)

, 4DMedical, Melbourne, Australia.

Tamás Ötvös (T)

, 4DMedical, Melbourne, Australia.

Darko Stefanovski (D)

University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Alex Tombleson (A)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

Molly Dalzell (M)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

Ernesto Gonzalez (E)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

Kinjal Bhatt Nakrani (KB)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

David Wenger (D)

, 4DMedical, Melbourne, Australia.

Michael G Lester (MG)

Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.

Bradley W Richmond (BW)

Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Department of Veterans Affairs Medical Center, Nashville, TN, USA.
Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA.

Andreas Fouras (A)

, 4DMedical, Melbourne, Australia.

Naresh M Punjabi (NM)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL, USA.

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Classifications MeSH