AIMC Topic: Forced Expiratory Volume

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Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

Clinical radiology Dec 7, 2021
AIM: To compare the machine learning computed tomography (CT) quantification tool, Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) to pulmonary function testing (PFT) in assessing idiopathic pulmonary fibrosis (IPF) for...
Humans Machine Learning Middle Aged Lung Idiopathic Pulmonary Fibrosis Forced Expiratory Volume Radiotherapy Dosage Vital Capacity Tomography, X-Ray Computed Female Aged Aged, 80 and over Male
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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...
Spirometry Exhalation Vital Capacity Humans Algorithms Deep Learning United States Forced Expiratory Volume
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Adult Pulmonary Disease, Chronic Obstructive Male Aging Middle Aged Risk Assessment Humans Machine Learning Algorithms Female Dyspnea Sex Factors Body Height Alcohol Drinking Spirometry Triglycerides Serum Albumin Leukocyte Count Vital Capacity Bronchodilator Agents Serum Globulins Lung Cohort Studies Cough Electrocardiography Forced Expiratory Volume Longitudinal Studies Cigarette Smoking Age Factors Alkaline Phosphatase Hematocrit
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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.

Journal of medical systems Jun 28, 2019
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirome...
Logistic Models Support Vector Machine Forced Expiratory Volume Spirometry Vital Capacity Female Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Male Risk Assessment Respiratory Sounds Humans Machine Learning Algorithms
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Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.

Respiratory medicine Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
Respiratory Function Tests Multidetector Computed Tomography Male Middle Aged Humans Severity of Illness Index Female Forced Expiratory Volume Aged Dyspnea Aged, 80 and over Pulmonary Disease, Chronic Obstructive
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Multichannel lung sound analysis for asthma detection.

Computer methods and programs in biomedicine Mar 9, 2018
BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection fr...
Models, Statistical Predictive Value of Tests Forced Expiratory Volume Signal Processing, Computer-Assisted Vital Capacity Normal Distribution Auscultation Respiratory Sounds Asthma Male Middle Aged Lung Support Vector Machine Neural Networks, Computer Algorithms Female Young Adult Adult Humans
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Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation.

Academic radiology Feb 19, 2018
RATIONALE AND OBJECTIVES: Long-term survival after lung transplantation (LTx) is limited by bronchiolitis obliterans syndrome (BOS), defined as a sustained decline in forced expiratory volume in the first second (FEV) not explained by other causes. W...
Aged Predictive Value of Tests Adult Humans Male Tidal Volume Machine Learning Middle Aged Forced Expiratory Volume Retrospective Studies Lung Lung Transplantation Tomography, X-Ray Computed Bronchiolitis Obliterans Female
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Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

International journal of chronic obstructive pulmonary disease Feb 12, 2018
INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical condition that combines features of those two diseases, and that is difficult to define due to the lack of understanding of the underlying mechanisms. D...
Asthma Cross-Sectional Studies Male Middle Aged Lung Interleukin-17 Interleukin-8 Discriminant Analysis Forced Expiratory Volume Inflammation Mediators Cell Adhesion Molecules Prognosis Female Aged Adult Pulmonary Disease, Chronic Obstructive Humans Neural Networks, Computer Tumor Necrosis Factor-alpha Interleukin-6 Biomarkers Spain Vital Capacity Interleukin-13 Interleukin-5 Th2 Cells
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Biomarkers for Pulmonary Inflammation and Fibrosis and Lung Ventilation Function in Chinese Occupational Refractory Ceramic Fibers-Exposed Workers.

International journal of environmental research and public health Dec 27, 2017
Refractory ceramic fibers (RCFs) can cause adverse health effects on workers' respiratory system, yet no proper biomarkers have been used to detect early pulmonary injury of RCFs-exposed workers. This study assessed the levels of two biomarkers that ...
Humans Biomarkers Dust Forced Expiratory Volume Adult Pulmonary Fibrosis Male Lung Pulmonary Ventilation China Ceramics Occupational Exposure Vital Capacity
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Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.

The European respiratory journal Dec 21, 2017
The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002, adults from three participating countries of the European Community Respiratory Health Survey (ECR...
Smoking Multivariate Analysis Vital Capacity Longitudinal Studies Europe Forced Expiratory Volume Lung Diseases Humans Linear Models Female Male Adult Middle Aged Diet Lung Health Surveys Antioxidants
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