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Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry

INTRODUCTION: X-ray Velocimetry (XV) ventilation analysis is a 4-dimensional imaging-based method for quantifying regional ventilation, aiding in the assessment of lung function. We examined the performance characteristics of XV ventilation analysis by examining correlation to spirometry and measure...

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Autores principales: Kirkness, Jason P., Dusting, Jonathan, Eikelis, Nina, Pirakalathanan, Piraveen, DeMarco, John, Shiao, Stephen L., Fouras, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335741/
https://www.ncbi.nlm.nih.gov/pubmed/37440838
http://dx.doi.org/10.3389/fmedt.2023.1148310
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author Kirkness, Jason P.
Dusting, Jonathan
Eikelis, Nina
Pirakalathanan, Piraveen
DeMarco, John
Shiao, Stephen L.
Fouras, Andreas
author_facet Kirkness, Jason P.
Dusting, Jonathan
Eikelis, Nina
Pirakalathanan, Piraveen
DeMarco, John
Shiao, Stephen L.
Fouras, Andreas
author_sort Kirkness, Jason P.
collection PubMed
description INTRODUCTION: X-ray Velocimetry (XV) ventilation analysis is a 4-dimensional imaging-based method for quantifying regional ventilation, aiding in the assessment of lung function. We examined the performance characteristics of XV ventilation analysis by examining correlation to spirometry and measurement repeatability. METHODS: XV analysis was assessed in 27 patients receiving thoracic radiotherapy for non-lung cancer malignancies. Measurements were obtained pre-treatment and at 4 and 12-months post-treatment. XV metrics such as ventilation defect percent (VDP) and regional ventilation heterogeneity (VH) were compared to spirometry at each time point, using correlation analysis. Repeatability was assessed between multiple runs of the analysis algorithm, as well as between multiple breaths in the same patient. Change in VH and VDP in a case series over 12 months was used to determine effect size and estimate sample sizes for future studies. RESULTS: VDP and VH were found to significantly correlate with FEV(1) and FEV(1)/FVC (range: −0.36 to −0.57; p < 0.05). Repeatability tests demonstrated that VDP and VH had less than 2% variability within runs and less than 8% change in metrics between breaths. Three cases were used to illustrate the advantage of XV over spirometry, where XV indicated a change in lung function that was either undetectable or delayed in detection by spirometry. Case A demonstrated an improvement in XV metrics over time despite stable spirometric values. Case B demonstrated a decline in XV metrics as early as 4-months, although spirometric values did not change until 12-months. Case C demonstrated a decline in XV metrics at 12 months post-treatment while spirometric values remained normal throughout the study. Based on the effect sizes in each case, sample sizes ranging from 10 to 38 patients would provide 90% power for future studies aiming to detect similar changes. CONCLUSIONS: The performance and safety of XV analysis make it ideal for both clinical and research applications across most lung indications. Our results support continued research and provide a basis for powering future studies using XV as an endpoint to examine lung health and determine therapeutic efficacy.
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spelling pubmed-103357412023-07-12 Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry Kirkness, Jason P. Dusting, Jonathan Eikelis, Nina Pirakalathanan, Piraveen DeMarco, John Shiao, Stephen L. Fouras, Andreas Front Med Technol Medical Technology INTRODUCTION: X-ray Velocimetry (XV) ventilation analysis is a 4-dimensional imaging-based method for quantifying regional ventilation, aiding in the assessment of lung function. We examined the performance characteristics of XV ventilation analysis by examining correlation to spirometry and measurement repeatability. METHODS: XV analysis was assessed in 27 patients receiving thoracic radiotherapy for non-lung cancer malignancies. Measurements were obtained pre-treatment and at 4 and 12-months post-treatment. XV metrics such as ventilation defect percent (VDP) and regional ventilation heterogeneity (VH) were compared to spirometry at each time point, using correlation analysis. Repeatability was assessed between multiple runs of the analysis algorithm, as well as between multiple breaths in the same patient. Change in VH and VDP in a case series over 12 months was used to determine effect size and estimate sample sizes for future studies. RESULTS: VDP and VH were found to significantly correlate with FEV(1) and FEV(1)/FVC (range: −0.36 to −0.57; p < 0.05). Repeatability tests demonstrated that VDP and VH had less than 2% variability within runs and less than 8% change in metrics between breaths. Three cases were used to illustrate the advantage of XV over spirometry, where XV indicated a change in lung function that was either undetectable or delayed in detection by spirometry. Case A demonstrated an improvement in XV metrics over time despite stable spirometric values. Case B demonstrated a decline in XV metrics as early as 4-months, although spirometric values did not change until 12-months. Case C demonstrated a decline in XV metrics at 12 months post-treatment while spirometric values remained normal throughout the study. Based on the effect sizes in each case, sample sizes ranging from 10 to 38 patients would provide 90% power for future studies aiming to detect similar changes. CONCLUSIONS: The performance and safety of XV analysis make it ideal for both clinical and research applications across most lung indications. Our results support continued research and provide a basis for powering future studies using XV as an endpoint to examine lung health and determine therapeutic efficacy. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10335741/ /pubmed/37440838 http://dx.doi.org/10.3389/fmedt.2023.1148310 Text en © 2023 Kirkness, Dusting, Eikelis, Pirakalathanan, Demarco, Shiao and Fouras. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medical Technology
Kirkness, Jason P.
Dusting, Jonathan
Eikelis, Nina
Pirakalathanan, Piraveen
DeMarco, John
Shiao, Stephen L.
Fouras, Andreas
Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title_full Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title_fullStr Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title_full_unstemmed Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title_short Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry
title_sort association of x-ray velocimetry (xv) ventilation analysis compared to spirometry
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335741/
https://www.ncbi.nlm.nih.gov/pubmed/37440838
http://dx.doi.org/10.3389/fmedt.2023.1148310
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