Results 61 to 70 of about 2,645,233 (222)

Extracellular matrix remodelling in COPD

open access: yesEuropean Respiratory Review, 2020
The extracellular matrix (ECM) of the lung plays several important roles in lung function, as it offers a low resistant pathway that allows the exchange of gases, provides compressive strength and elasticity that supports the fragile alveolar–capillary ...
Meropi Karakioulaki   +2 more
doaj   +1 more source

High level of initial Aspergillus fumigatus-specific IgE links increased risk of exacerbation in allergic bronchopulmonary aspergillosis patients

open access: yesRespiratory Research
Background Elevated Aspergillus fumigatus (A. fumigatus)-specific Immunoglobulin E (IgE) is recognized as an essential diagnostic criterion for allergic bronchopulmonary aspergillosis (ABPA). However, it remains unknown whether initial A.
Hao Qian   +11 more
doaj   +1 more source

Early diagnosis and appropriate respiratory support for Mycoplasma pneumoniae pneumonia associated acute respiratory distress syndrome in young and adult patients: a case series from two centers

open access: yesBMC Infectious Diseases, 2020
Background Mycoplasma pneumoniae (M. pneumoniae) is one of the most common causes of community acquired pneumonia (CAP). Establishing an early diagnosis of M.
Lin Ding   +7 more
doaj   +1 more source

Xpert MTB/RIF assay for the differential diagnosis between sarcoidosis and tuberculosis intrathoracic lymphadenopathy

open access: yesBMC Infectious Diseases, 2023
Background The aim of this study was to evaluate the role of Xpert MTB/RIF assay in the detection of Mycobacterium tuberculosis for differentiating tuberculosis intrathoracic lymphadenopathy from sarcoidosis intrathoracic lymphadenopathy.
Xian He   +4 more
doaj   +1 more source

Breathlessness and exercise with virtual reality system in long-post-coronavirus disease 2019 patients

open access: yesFrontiers in Public Health, 2023
Long-post-coronavirus disease-2019 (COVID-19) patients tend to claim residual symptomatology from various systems, most importantly the respiratory and central nervous systems. Breathlessness and brain fog are the main complaints.
Vasileios T. Stavrou   +17 more
doaj   +1 more source

A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture [PDF]

open access: yesarXiv, 2021
Chronic respiratory diseases, such as chronic obstructive pulmonary disease and asthma, are a serious health crisis, affecting a large number of people globally and inflicting major costs on the economy. Current methods for assessing the progression of respiratory symptoms are either subjective and inaccurate, or complex and cumbersome, and do not ...
arxiv  

Improving organ dose sparing in left‐sided breast cancer with yaw‐limited volumetric modulated arc therapy: A dosimetric comparison to conventional and intensity modulated radiation therapy approaches

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background To assess the dose‐sparing capabilities of a yaw‐limited volumetric modulated arc therapy (YL_VMAT) beam setup for adjacent organs at risk (OAR) in comparison with 3D‐conventional radiation therapy (3D‐CRT), intensity‐modulated radiation therapy (IMRT) and conventional VMAT for radiation therapy in left‐sided breast cancer patients.
Gerhard Pollul   +4 more
wiley   +1 more source

Extracting Fractional Inspiratory Time from Electrocardiograms [PDF]

open access: yesarXiv, 2020
Non-invasive at-home monitoring of lung and lung airways health enables the early detection and tracking of respiratory diseases like asthma and chronic obstructive pulmonary disease (COPD). Various proposed approaches estimate the respiratory rate and extract the respiratory waveform from an electrocardiogram (ECG) signal as a way to discreetly ...
arxiv  

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs [PDF]

open access: yesarXiv, 2021
Automated lobar segmentation allows regional evaluation of lung disease and is important for diagnosis and therapy planning. Advanced statistical workflows permitting such evaluation is a needed area within respiratory medicine; their adoption remains slow, with poor workflow accuracy. Diseased lung regions often produce high-density zones on CT images,
arxiv  

A method for measuring spatial resolution based on clinical chest CT sequence images

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu   +3 more
wiley   +1 more source

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