Results 31 to 40 of about 773,643 (383)

Airway Inflammation and Airway Hyperresponsiveness [PDF]

open access: yes, 2021
Airway inflammation is a complex inflammatory process of airways involving the contribution of various cells, recruited and activated in asthmatic conditions, and the mediators released by them. However, major components contributing to this inflammation are eosinophils, mast cells, and lymphocytes.
Inshah Din, Sheikh Rayees
openaire   +2 more sources

Long‐term expanding human airway organoids for disease modeling

open access: yesEMBO Journal, 2019
Organoids are self‐organizing 3D structures grown from stem cells that recapitulate essential aspects of organ structure and function. Here, we describe a method to establish long‐term‐expanding human airway organoids from broncho‐alveolar resections or ...
Norman Sachs   +47 more
semanticscholar   +1 more source

Difficult Airway Society 2015 guidelines for management of unanticipated difficult intubation in adults

open access: yesBritish Journal of Anaesthesia, 2015
These guidelines provide a strategy to manage unanticipated difficulty with tracheal intubation. They are founded on published evidence. Where evidence is lacking, they have been directed by feedback from members of the Difficult Airway Society and based
C. Frerk   +8 more
semanticscholar   +1 more source

Inflammatory cytokines can be monitored in exhaled breath particles following segmental and inhalation endotoxin challenge in healthy volunteers

open access: yesScientific Reports, 2022
Particles in exhaled air (PEx) are generated when collapsed small airways reopen during breathing. PEx can be noninvasively collected by particle impaction, allowing the analysis of undiluted epithelial lining fluid (ELF).
Olaf Holz   +4 more
doaj   +1 more source

Treatable traits: toward precision medicine of chronic airway diseases

open access: yesEuropean Respiratory Journal, 2016
Asthma and chronic obstructive pulmonary disease (COPD) are two prevalent chronic airway diseases that have a high personal and social impact. They likely represent a continuum of different diseases that may share biological mechanisms (i.e.
A. Agustí   +11 more
semanticscholar   +1 more source

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images [PDF]

open access: yesarXiv, 2022
Accurate airway extraction from computed tomography (CT) images is a critical step for planning navigation bronchoscopy and quantitative assessment of airway-related chronic obstructive pulmonary disease (COPD). The existing methods are challenging to sufficiently segment the airway, especially the high-generation airway, with the constraint of the ...
arxiv  

Relationship between concavity of the flow-volume loop and small airway measures in smokers with normal spirometry

open access: yesBMC Pulmonary Medicine, 2022
Background There is increasing evidence of small airway abnormalities in smokers despite normal spirometry. The concavity in the descending limb of the maximum expiratory flow curve (MEFV) is a recognised feature of obstruction and can provide ...
Hooria Alowiwi   +6 more
doaj   +1 more source

Changes in Breathing Patterns after Surgery in Severe Laryngomalacia

open access: yesChildren, 2021
Background: Most of the studies regarding the surgical treatment of severe laryngomalacia (LM) have been aimed at describing the efficacy of the treatment in terms of improvement of clinical symptoms or anatomical findings.
Fabrizio Cialente   +8 more
doaj   +1 more source

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease [PDF]

open access: yesarXiv, 2021
Abnormal airway dilatation, termed traction bronchiectasis, is a typical feature of idiopathic pulmonary fibrosis (IPF). Volumetric computed tomography (CT) imaging captures the loss of normal airway tapering in IPF. We postulated that automated quantification of airway abnormalities could provide estimates of IPF disease extent and severity.
arxiv  

Early Experiences with Crowdsourcing Airway Annotations in Chest CT [PDF]

open access: yesLABELS 2016, DLMIA 2016: Deep Learning and Data Labeling for Medical Applications pp 209-218, 2017
Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets of annotated data to perform well.
arxiv   +1 more source

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