AIMC Topic: Exhalation

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Improved detection of air trapping on expiratory computed tomography using deep learning.

PloS one Mar 24, 2021
BACKGROUND: Radiologic evidence of air trapping (AT) on expiratory computed tomography (CT) scans is associated with early pulmonary dysfunction in patients with cystic fibrosis (CF). However, standard techniques for quantitative assessment of AT are...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Male Air Exhalation Deep Learning Child Regression Analysis Respiratory Function Tests
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Assessment of an Exhaled Breath Test Using High-Pressure Photon Ionization Time-of-Flight Mass Spectrometry to Detect Lung Cancer.

JAMA network open Mar 1, 2021
IMPORTANCE: Exhaled breath is an attractive option for cancer detection. A sensitive and reliable breath test has the potential to greatly facilitate diagnoses and therapeutic monitoring of lung cancer.
Early Detection of Cancer Retrospective Studies Breath Tests Female Exhalation Support Vector Machine Humans Reproducibility of Results Middle Aged Follow-Up Studies Male Lung Neoplasms Mass Spectrometry Algorithms
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Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria.

The European respiratory journal Dec 17, 2020
RATIONALE: While American Thoracic Society (ATS)/European Respiratory Society (ERS) quality control criteria for spirometry include several quantitative limits, it also requires manual visual inspection. The current approach is time consuming and lea...
Humans Algorithms Deep Learning United States Forced Expiratory Volume Spirometry Exhalation Vital Capacity
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An adaptive Kalman filtering algorithm based on back-propagation (BP) neural network applied for simultaneously detection of exhaled CO and NO.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 29, 2019
A compact high-resolution spectroscopic sensor using a thermoelectrically (TE) cooled continuous-wave (CW) room temperature (RT) quantum cascade laser (QCL) was demonstrated for simultaneous measurements of exhaled carbon monoxide (CO) and nitrous ox...
Pressure Carbon Monoxide Exhalation Nitrous Oxide Humans Neural Networks, Computer Air Pollution, Indoor Spectrum Analysis Smoking Algorithms Water
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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PloS one Jan 31, 2019
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their ...
Exhalation Lung Diseases, Obstructive Support Vector Machine Principal Component Analysis Aerosols Breath Tests Tomography, X-Ray Computed Male Machine Learning Middle Aged Algorithms Image Processing, Computer-Assisted Prognosis Humans
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Exhaled breath condensate metabolome clusters for endotype discovery in asthma.

Journal of translational medicine Dec 22, 2017
BACKGROUND: Asthma is a complex, heterogeneous disorder with similar presenting symptoms but with varying underlying pathologies. Exhaled breath condensate (EBC) is a relatively unexplored matrix which reflects the signatures of respiratory epitheliu...
Metabolomics Metabolome Breath Tests Asthma Exhalation Humans Male Machine Learning Child Algorithms Cluster Analysis Female
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Aerosol delivery during spontaneous breathing with different types of nebulizers- in vitro/ex vivo models evaluation.

Pulmonary pharmacology & therapeutics Dec 19, 2017
BACKGROUND: Nebulizers for spontaneous breathing have been evaluated through different study designs. There are limitations in simulated bench models related to patient and nebulizer factors. The aim of this study was to determine the correlation of ...
Equipment Design Aerosols Humans Young Adult Inhalation Models, Biological Albuterol Female Drug Delivery Systems Nebulizers and Vaporizers Respiration Exhalation Male Administration, Inhalation Bronchodilator Agents
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Journal of breath research Aug 21, 2017
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis...
Humans Neoplasm Staging Healthy Volunteers Male Breath Tests Female Middle Aged Exhalation Aged Case-Control Studies Adult Electronic Nose Lung Neoplasms Pulmonary Disease, Chronic Obstructive Support Vector Machine
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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Mass Spectrometry Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Smoking Exhalation Small Cell Lung Carcinoma Solid Phase Microextraction Breath Tests Case-Control Studies Lung Neoplasms Adenocarcinoma Female Sensitivity and Specificity Carcinoma, Non-Small-Cell Lung Aged Humans Aged, 80 and over Biomarkers, Tumor Young Adult Neural Networks, Computer Male Adult Middle Aged
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The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

Journal of breath research Aug 11, 2025
The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhaled breath leads to the common and natural conclusion that these volatiles provide information on health and metabolic processes, with considerable pot...
Biomarkers Female Young Adult Adult Cross-Sectional Studies Mouth Humans Male Volatile Organic Compounds Gas Chromatography-Mass Spectrometry Middle Aged Breath Tests Principal Component Analysis Exhalation Microbiota
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