Respiratory muscle assessment in acute exacerbation of chronic obstructive pulmonary disease and its role as a potential biomarker

Vimal, Gangadharan; Kolek, Vı́tězslav; Jaskova, Jana

doi:10.5507/bp.2012.050

Cited by 2 publications

(2 citation statements)

References 87 publications

(92 reference statements)

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“…Cigarette smoking is a primary predisposing risk factor for COPD, which affects the lungs and also has a systemic effect. 2 , 3 COPD is expected to be the seventh leading cause of disability-adjusted life years and the fifth leading cause of death by 2030. 4 …”

Section: Introductionmentioning

confidence: 99%

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Comparative study of two different respiratory training protocols in elderly patients with chronic obstructive pulmonary disease

Mehani¹

2017

CIA

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AimThe aim of the present study was to compare threshold inspiratory muscle training (IMT) and expiratory muscle training (EMT) in elderly male patients with moderate degree of COPD.Materials and methodsForty male patients with moderate degree of COPD were recruited for this study. They were randomly divided into two groups: the IMT group who received inspiratory training with an intensity ranging from 15% to 60% of their maximal inspiratory pressure, and the EMT group who received expiratory training with an equal intensity which was adjusted according to the maximal expiratory pressure. Both groups received training three times per week for 2 months, in addition to their prescribed medications.ResultsBoth IMT and EMT groups showed a significant improvement in forced vital capacity, forced expiratory volume in the first second, forced expiratory volume in the first second% from the predicted values, and forced vital capacity% from the predicted value, with no difference between the groups. Both types of training resulted in a significant improvement in blood gases (SaO2%, PaO2, PaCO2, and HCO3), with the inspiratory muscle group showing the best results. Both groups showed a significant improvement in the 6-min walking distance: an increase of about 25% in the inspiratory muscle group and about 2.5% in the expiratory muscle group.ConclusionBoth IMT and EMT must be implemented in pulmonary rehabilitation programs in order to achieve improvements in pulmonary function test, respiratory muscle strength, blood oxygenation, and 6-min walking distance.

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Section: Introductionmentioning

confidence: 99%

“… 12 , 13 Respiratory muscle strength can be indirectly measured at the mouth level as an indicator for the pressure generated by the inspiratory and expiratory muscles. 2 …”

Section: Introductionmentioning

confidence: 99%

Comparative study of two different respiratory training protocols in elderly patients with chronic obstructive pulmonary disease

Mehani¹

2017

CIA

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Deep learning-based respiratory muscle segmentation as a potential imaging biomarker for respiratory function assessment

Choi,

Yong

et al. 2024

PLoS ONE

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Respiratory diseases significantly affect respiratory function, making them a considerable contributor to global mortality. The respiratory muscles play an important role in disease prognosis; as such, quantitative analysis of the respiratory muscles is crucial to assess the status of the respiratory system and the quality of life in patients. In this study, we aimed to develop an automated approach for the segmentation and classification of three types of respiratory muscles from computed tomography (CT) images using artificial intelligence. With a dataset of approximately 600,000 thoracic CT images from 3,200 individuals, we trained the model using the Attention U-Net architecture, optimized for detailed and focused segmentation. Subsequently, we calculated the volumes and densities from the muscle masks segmented by our model and performed correlation analysis with pulmonary function test (PFT) parameters. The segmentation models for muscle tissue and respiratory muscles obtained dice scores of 0.9823 and 0.9688, respectively. The classification model, achieving a generalized dice score of 0.9900, also demonstrated high accuracy in classifying thoracic region muscle types, as evidenced by its F1 scores: 0.9793 for the pectoralis muscle, 0.9975 for the erector spinae muscle, and 0.9839 for the intercostal muscle. In the correlation analysis, the volume of the respiratory muscles showed a strong correlation with PFT parameters, suggesting that respiratory muscle volume may serve as a potential novel biomarker for respiratory function. Although muscle density showed a weaker correlation with the PFT parameters, it has a potential significance in medical research.

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Respiratory muscle assessment in acute exacerbation of chronic obstructive pulmonary disease and its role as a potential biomarker

Cited by 2 publications

References 87 publications

Comparative study of two different respiratory training protocols in elderly patients with chronic obstructive pulmonary disease

Comparative study of two different respiratory training protocols in elderly patients with chronic obstructive pulmonary disease

Deep learning-based respiratory muscle segmentation as a potential imaging biomarker for respiratory function assessment

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