AIMC Topic: Pulmonary Emphysema

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Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT.

European radiology experimental May 20, 2024
BACKGROUND: Emphysema influences the appearance of lung tissue in computed tomography (CT). We evaluated whether this affects lung nodule detection by artificial intelligence (AI) and human readers (HR).
Female Aged Sensitivity and Specificity Artificial Intelligence Software Tomography, X-Ray Computed Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Radiation Dosage Male Middle Aged Lung Neoplasms Humans
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Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates.

Medical & biological engineering & computing Apr 22, 2024
Combined pulmonary fibrosis and emphysema (CPFE) presents a unique challenge in respiratory disorders, merging features of interstitial lung disease (ILD) and chronic obstructive pulmonary disease (COPD). Using the random forest algorithm, our study ...
Machine Learning Gene Expression Profiling Humans Pulmonary Disease, Chronic Obstructive MicroRNAs Artificial Intelligence Pulmonary Fibrosis Lung Diseases, Interstitial Lung RNA Pulmonary Emphysema
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Machine Learning and CT Texture Features in Ex-smokers with no CT Evidence of Emphysema and Mildly Abnormal Diffusing Capacity.

Academic radiology Dec 30, 2023
RATIONALE AND OBJECTIVES: Ex-smokers without spirometry or CT evidence of chronic obstructive pulmonary disease (COPD) but with mildly abnormal diffusing capacity of the lungs for carbon monoxide (DL) are at higher risk of developing COPD. It remains...
Male Middle Aged Magnetic Resonance Imaging Pulmonary Diffusing Capacity Pulmonary Emphysema Spirometry Aged, 80 and over Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Tomography, X-Ray Computed Female Aged Machine Learning Retrospective Studies Humans
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Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading.

Journal of computer assisted tomography Dec 18, 2023
OBJECTIVE: The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysem...
Female Aged Adult Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Severity of Illness Index Forced Expiratory Volume Pulmonary Emphysema Radiography, Thoracic Male Middle Aged Lung Humans Spirometry
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Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.

Respiratory research Nov 28, 2023
OBJECTIVES: Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest CT scans ...
Lung Tomography, X-Ray Computed Deep Learning Humans Pulmonary Disease, Chronic Obstructive Pulmonary Emphysema Emphysema Asthma
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Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning.

Scientific reports Jan 21, 2023
In addition to lung cancer, other thoracic abnormalities, such as emphysema, can be visualized within low-dose CT scans that were initially obtained in cancer screening programs, and thus, opportunistic evaluation of these diseases may be highly valu...
Lung Deep Learning Humans Tomography, X-Ray Computed Pulmonary Emphysema Emphysema
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Explainable emphysema detection on chest radiographs with deep learning.

PloS one Jul 28, 2022
We propose a deep learning system to automatically detect four explainable emphysema signs on frontal and lateral chest radiographs. Frontal and lateral chest radiographs from 3000 studies were retrospectively collected. Two radiologists annotated th...
Radiography, Thoracic Emphysema Radiography Humans Retrospective Studies Radiologists Deep Learning Pulmonary Emphysema
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Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction.

Medicina (Kaunas, Lithuania) Jul 15, 2022
Background and Objectives: Although reducing the radiation dose level is important during diagnostic computed tomography (CT) applications, effective image quality enhancement strategies are crucial to compensate for the degradation that is caused by...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Pulmonary Emphysema Deep Learning Emphysema Humans Image Processing, Computer-Assisted Prospective Studies
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Deep Learning Assessment of Emphysema Progression at CT Predicts Outcomes.

Radiology May 17, 2022
Emphysema Humans Tomography, X-Ray Computed Deep Learning Pulmonary Emphysema
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Emphysema Progression at CT by Deep Learning Predicts Functional Impairment and Mortality: Results from the COPDGene Study.

Radiology May 17, 2022
Background Visual assessment remains the standard for evaluating emphysema at CT; however, it is time consuming, is subjective, requires training, and is affected by variability that may limit sensitivity to longitudinal change. Purpose To evaluate t...
Emphysema Tomography, X-Ray Computed Female Aged Humans Prospective Studies Lung Severity of Illness Index Deep Learning Pulmonary Emphysema Pulmonary Disease, Chronic Obstructive Male Middle Aged
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