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Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT

PURPOSE: To quantitatively identify abnormal lung motion in chronic obstructive pulmonary disease (COPD) using strain analysis, and further clarify the potential differences of deformation in COPD with different severity of airflow limitation. MATERIALS AND METHODS: Totally, 53 patients at high-risk...

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Autores principales: Xu, Yanyan, Liang, Tian, Ma, Yanhui, Xie, Sheng, Sun, Hongliang, Wang, Lei, Xu, Yinghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094643/
https://www.ncbi.nlm.nih.gov/pubmed/35573658
http://dx.doi.org/10.2147/COPD.S360770
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author Xu, Yanyan
Liang, Tian
Ma, Yanhui
Xie, Sheng
Sun, Hongliang
Wang, Lei
Xu, Yinghao
author_facet Xu, Yanyan
Liang, Tian
Ma, Yanhui
Xie, Sheng
Sun, Hongliang
Wang, Lei
Xu, Yinghao
author_sort Xu, Yanyan
collection PubMed
description PURPOSE: To quantitatively identify abnormal lung motion in chronic obstructive pulmonary disease (COPD) using strain analysis, and further clarify the potential differences of deformation in COPD with different severity of airflow limitation. MATERIALS AND METHODS: Totally, 53 patients at high-risk for COPD were enrolled in this study. All CT examinations were performed on a 320-row MDCT scanner, and strain measurement based on dynamic-ventilation CT data was performed with a computational fluid dynamics analysis software (Micro Vec V3.6.2). The strain-related parameters derived from the whole expiration phase (PS(max-all), PS(mean-all), Speed(max-all)), the first 2s of expiration phase (PS(max2s), PS(mean2s), Speed(max2s)) were divided respectively by the changes in lung volume to adjust for the degree of expiration. Spearman rank correlation analysis was used to evaluate associations between the strain-related parameters and various spirometric parameters. Comparisons of the strain-related parameters between COPD and non-COPD patients, between GOLD I (mild airflow restriction) and GOLD II–IV (moderate to severe airflow restriction) were made using the Mann–Whitney U-test. Receiver-operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of the strain-related parameters for COPD. P <0.05 was considered statistically significant. RESULTS: Strain-related parameters demonstrated positive correlations with spirometric parameters (ρ=0.275~0.687, P<0.05), suggesting that heterogeneity in lung motion was related to abnormal spirometric results. Strain-related parameters can quantitatively distinguish COPD from non-COPD patients with moderate diagnostic significance with the AUC values ranged from 0.821 to 0.894. Furthermore, parameters of the whole expiration phase (PS(max-all), Speed(max-al)(l)) demonstrated significant differences (P=0.005; P=0.04) between COPD patients with mild and moderate to severe airflow limitation. CONCLUSION: Strain-related parameters derived from dynamic-ventilation CT data covering the whole lung associated with lung function changes in COPD, reflecting the severity of airflow limitation in some degree, even though its utility in severe COPD patients remains to be investigated.
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spelling pubmed-90946432022-05-12 Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT Xu, Yanyan Liang, Tian Ma, Yanhui Xie, Sheng Sun, Hongliang Wang, Lei Xu, Yinghao Int J Chron Obstruct Pulmon Dis Original Research PURPOSE: To quantitatively identify abnormal lung motion in chronic obstructive pulmonary disease (COPD) using strain analysis, and further clarify the potential differences of deformation in COPD with different severity of airflow limitation. MATERIALS AND METHODS: Totally, 53 patients at high-risk for COPD were enrolled in this study. All CT examinations were performed on a 320-row MDCT scanner, and strain measurement based on dynamic-ventilation CT data was performed with a computational fluid dynamics analysis software (Micro Vec V3.6.2). The strain-related parameters derived from the whole expiration phase (PS(max-all), PS(mean-all), Speed(max-all)), the first 2s of expiration phase (PS(max2s), PS(mean2s), Speed(max2s)) were divided respectively by the changes in lung volume to adjust for the degree of expiration. Spearman rank correlation analysis was used to evaluate associations between the strain-related parameters and various spirometric parameters. Comparisons of the strain-related parameters between COPD and non-COPD patients, between GOLD I (mild airflow restriction) and GOLD II–IV (moderate to severe airflow restriction) were made using the Mann–Whitney U-test. Receiver-operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of the strain-related parameters for COPD. P <0.05 was considered statistically significant. RESULTS: Strain-related parameters demonstrated positive correlations with spirometric parameters (ρ=0.275~0.687, P<0.05), suggesting that heterogeneity in lung motion was related to abnormal spirometric results. Strain-related parameters can quantitatively distinguish COPD from non-COPD patients with moderate diagnostic significance with the AUC values ranged from 0.821 to 0.894. Furthermore, parameters of the whole expiration phase (PS(max-all), Speed(max-al)(l)) demonstrated significant differences (P=0.005; P=0.04) between COPD patients with mild and moderate to severe airflow limitation. CONCLUSION: Strain-related parameters derived from dynamic-ventilation CT data covering the whole lung associated with lung function changes in COPD, reflecting the severity of airflow limitation in some degree, even though its utility in severe COPD patients remains to be investigated. Dove 2022-05-07 /pmc/articles/PMC9094643/ /pubmed/35573658 http://dx.doi.org/10.2147/COPD.S360770 Text en © 2022 Xu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Xu, Yanyan
Liang, Tian
Ma, Yanhui
Xie, Sheng
Sun, Hongliang
Wang, Lei
Xu, Yinghao
Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title_full Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title_fullStr Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title_full_unstemmed Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title_short Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT
title_sort strain analysis in patients at high-risk for copd using four-dimensional dynamic-ventilation ct
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094643/
https://www.ncbi.nlm.nih.gov/pubmed/35573658
http://dx.doi.org/10.2147/COPD.S360770
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