AIMC Topic: Pulmonary Emphysema

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Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT.

Physics in medicine and biology Jul 4, 2019
Lung densitometry is being frequently adopted in CT-based emphysema quantification, yet known to be affected by the choice of reconstruction kernel. This study presents a two-step deep learning architecture that enables accurate normalization of reco...
Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Pulmonary Emphysema Deep Learning Radiation Dosage
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Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.

IEEE journal of biomedical and health informatics Jan 1, 2019
Automated tissue classification is an essential step for quantitative analysis and treatment of emphysema. Although many studies have been conducted in this area, there still remain two major challenges. First, different emphysematous tissue appears ...
Deep Learning Pulmonary Emphysema Image Interpretation, Computer-Assisted Middle Aged Humans Lung Aged Algorithms Adult Tomography, X-Ray Computed
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Robot-assisted thoracoscopic lobectomy as treatment of a giant bulla.

Journal of cardiothoracic surgery May 18, 2017
BACKGROUND: A bulla is a marked enlarged space within the parenchyma of the lung. Bullae may cause dyspnea by compressing healthy lung parenchyma and can cause a pneumothorax. Also, bullae are associated with malignancy, therefore surgical bullectomy...
Pneumonectomy Thoracic Surgery, Video-Assisted Humans Pulmonary Emphysema Female Adolescent Robotics
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Effect of adaptive statistical iterative reconstruction-V algorithm and deep learning image reconstruction algorithm on image quality and emphysema quantification in COPD patients under ultra-low-dose conditions.

The British journal of radiology Apr 1, 2025
PURPOSE: To explore the effect of different reconstruction algorithms (ASIR-V and DLIR) on image quality and emphysema quantification in chronic obstructive pulmonary disease (COPD) patients under ultra-low-dose scanning conditions.
Aged Pulmonary Disease, Chronic Obstructive Male Prospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Humans Pulmonary Emphysema Algorithms Radiation Dosage Respiratory Function Tests Middle Aged Lung Deep Learning
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Deep Learning-Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality.

Investigative radiology Mar 1, 2024
OBJECTIVES: The aim of this study was to ascertain the predictive value of quantifying emphysema using low-dose computed tomography (LDCT) post deep learning-based kernel adaptation on long-term mortality.
Male Humans Pulmonary Emphysema Lung Retrospective Studies Deep Learning Tomography, X-Ray Computed Emphysema
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The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers.

American journal of respiratory and critical care medicine Sep 15, 2023
Lung Deep Learning Lung Diseases, Interstitial Humans Pulmonary Emphysema Smokers Emphysema
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Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.

American journal of respiratory and critical care medicine Sep 15, 2023
Although studies have evaluated emphysema and fibrotic interstitial lung abnormality individually, less is known about their combined progression. To define clinically meaningful progression of fibrotic interstitial lung abnormality in smokers with...
Humans Lung Deep Learning Pulmonary Fibrosis Lung Diseases, Interstitial Pulmonary Emphysema Emphysema
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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.

Journal of thoracic imaging May 1, 2020
OBJECTIVES: The objective of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for the fully automated per lobe segmentation and emphysema quantification (EQ) on chest-computed tomography as it compares to the Globa...
Radiography, Thoracic Smokers Male Middle Aged Lung Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Young Adult Retrospective Studies Adult Female Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Aged Humans Aged, 80 and over Artificial Intelligence
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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Korean journal of radiology Feb 1, 2019
OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram.
Algorithms Retrospective Studies Female Aged Male Middle Aged Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Pulmonary Emphysema Multidetector Computed Tomography
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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Lung Pulmonary Emphysema Respiratory Function Tests Pulmonary Disease, Chronic Obstructive Humans Early Diagnosis Sensitivity and Specificity Spirometry Tomography, X-Ray Computed Disease Progression Risk Factors
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