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Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease

Background: Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulties, which may result in the abnormal morphology and motion of the lungs or diaphragm. Purpose: This study aims to quantitatively evaluate respiratory diaphragm motion using a thoracic s...

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Autores principales: Zhou, Xingyu, Ye, Chen, Iwao, Yuma, Okamoto, Takayuki, Kawata, Naoko, Shimada, Ayako, Haneishi, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606604/
https://www.ncbi.nlm.nih.gov/pubmed/37892082
http://dx.doi.org/10.3390/diagnostics13203261
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author Zhou, Xingyu
Ye, Chen
Iwao, Yuma
Okamoto, Takayuki
Kawata, Naoko
Shimada, Ayako
Haneishi, Hideaki
author_facet Zhou, Xingyu
Ye, Chen
Iwao, Yuma
Okamoto, Takayuki
Kawata, Naoko
Shimada, Ayako
Haneishi, Hideaki
author_sort Zhou, Xingyu
collection PubMed
description Background: Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulties, which may result in the abnormal morphology and motion of the lungs or diaphragm. Purpose: This study aims to quantitatively evaluate respiratory diaphragm motion using a thoracic sagittal magnetic resonance imaging (MRI) series, including motion asynchronization and limitations. Method: First, the diaphragm profile is extracted using a deep-learning-based field segmentation approach. Next, by measuring the motion waveforms of each position in the extracted diaphragm profile, obvious differences in the independent respiration cycles, such as the period and peak amplitude, are verified. Finally, focusing on multiple breathing cycles, the similarity and amplitude of the motion waveforms are evaluated using the normalized correlation coefficient (NCC) and absolute amplitude. Results and Contributions: Compared with normal subjects, patients with severe COPD tend to have lower NCC and absolute amplitude values, suggesting motion asynchronization and limitation of their diaphragms. Our proposed diaphragmatic motion evaluation method may assist in the diagnosis and therapeutic planning of COPD.
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spelling pubmed-106066042023-10-28 Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease Zhou, Xingyu Ye, Chen Iwao, Yuma Okamoto, Takayuki Kawata, Naoko Shimada, Ayako Haneishi, Hideaki Diagnostics (Basel) Article Background: Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulties, which may result in the abnormal morphology and motion of the lungs or diaphragm. Purpose: This study aims to quantitatively evaluate respiratory diaphragm motion using a thoracic sagittal magnetic resonance imaging (MRI) series, including motion asynchronization and limitations. Method: First, the diaphragm profile is extracted using a deep-learning-based field segmentation approach. Next, by measuring the motion waveforms of each position in the extracted diaphragm profile, obvious differences in the independent respiration cycles, such as the period and peak amplitude, are verified. Finally, focusing on multiple breathing cycles, the similarity and amplitude of the motion waveforms are evaluated using the normalized correlation coefficient (NCC) and absolute amplitude. Results and Contributions: Compared with normal subjects, patients with severe COPD tend to have lower NCC and absolute amplitude values, suggesting motion asynchronization and limitation of their diaphragms. Our proposed diaphragmatic motion evaluation method may assist in the diagnosis and therapeutic planning of COPD. MDPI 2023-10-20 /pmc/articles/PMC10606604/ /pubmed/37892082 http://dx.doi.org/10.3390/diagnostics13203261 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Xingyu
Ye, Chen
Iwao, Yuma
Okamoto, Takayuki
Kawata, Naoko
Shimada, Ayako
Haneishi, Hideaki
Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title_full Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title_fullStr Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title_full_unstemmed Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title_short Respiratory Diaphragm Motion-Based Asynchronization and Limitation Evaluation on Chronic Obstructive Pulmonary Disease
title_sort respiratory diaphragm motion-based asynchronization and limitation evaluation on chronic obstructive pulmonary disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606604/
https://www.ncbi.nlm.nih.gov/pubmed/37892082
http://dx.doi.org/10.3390/diagnostics13203261
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