A5067335100- Chronic Obstructive Pulmonary Disease (COPD) Research
- Inhalation and Respiratory Drug Delivery
- Asthma and respiratory diseases
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Medical Imaging and Pathology Studies
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Atomic and Subatomic Physics Research
- Systemic Sclerosis and Related Diseases
- Respiratory Support and Mechanisms
- Respiratory and Cough-Related Research
- Hematopoietic Stem Cell Transplantation
- Transplantation: Methods and Outcomes
- Hemodynamic Monitoring and Therapy
- MRI in cancer diagnosis
- COVID-19 Clinical Research Studies
- Advanced X-ray and CT Imaging
- Ultrasound and Hyperthermia Applications
- Cardiovascular Disease and Adiposity
- Adipokines, Inflammation, and Metabolic Diseases
- Advanced Radiotherapy Techniques
- Phonocardiography and Auscultation Techniques
- Medical Imaging Techniques and Applications
- Infection Control and Ventilation
Vida Diagnostics (United States)
2018-2025
University of Pittsburgh
2022
Toshiba (United States)
2016
Vital Research
2015
BACKGROUND: Mucus plugs in asthmatic airways are associated with airway obstruction and the activity of inflammatory cytokines, specifically interleukin (IL)-5 IL-13, they may provide an opportunity for targeted therapy. This analysis CASCADE (Study to Evaluate Tezepelumab on Airway Inflammation Adults With Uncontrolled Asthma) placebo-controlled trial used computed tomography (CT) imaging assess mucus patients moderate-to-severe, uncontrolled asthma who received tezepelumab or placebo....
Rationale: To improve disease outcomes in idiopathic pulmonary fibrosis (IPF), it is essential to understand its early pathophysiology so that can be targeted therapeutically. Objectives: Perform three-dimensional assessment of the IPF lung microstructure using stereology and multiresolution computed tomography (CT) imaging. Methods: Explanted lungs from patients with (n = 8) donor control subjects were inflated air frozen. CT scans used assess large airways. Unbiased, systematic uniform...
Rationale: Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitation, caused emphysema and small airways (SAD). Computed tomography (CT) coupled with image analysis enables the quantification of these abnormalities; however, optimum method for doing so has not been determined.Objectives: This study aims to compare two CT quantitative techniques, probability measure (DPM) parametric response mapping (PRM), assess their relationship specific physiological measures...
Convolutional neural network (CNN)-based models using computed tomography images can classify chronic obstructive pulmonary disease (COPD) with high performance, but various input image types have been investigated, and it is unclear what are optimal. We propose a 2D airway-optimized topological multiplanar reformat (tMPR) compare its performance established 2D/3D for COPD classification. As secondary aim, we examined the impact of training on dataset predominantly mild cases testing more...
Rationale: Measuring disease extent and progression of systemic sclerosis–associated interstitial lung (SSc-ILD) is challenging, with recent studies suggesting potential utility quantitative measurements from computed tomography (CT) scans.Objectives: To determine the associations (qCT) density-based measures physiological parameters, visual CT scores, survival in patients SSc-ILD.Methods: Patients SSc-ILD volumetric high-resolution images ≤1.25-mm slice thickness were retrospectively...
Background Clustering key clinical characteristics of participants in the Severe Asthma Research Program (SARP), a large, multicenter prospective observational study patients with asthma and healthy controls, has led to identification novel phenotypes. Purpose To determine whether quantitative CT (qCT) could help distinguish between Materials Methods A retrospective cross-sectional analysis was conducted use qCT images (maximal bronchodilation at total lung capacity [TLC], or inspiration,...
Increasingly, quantitative lung computed tomography (qCT)-derived metrics are providing novel insights into chronic inflammatory diseases, including obstructive pulmonary disease, asthma, interstitial and more. Metrics related to parenchymal, airway, vascular anatomy together with various measures associated function regional parenchymal mechanics, air trapping functional small airways dual-energy derived of perfused blood volume offering the ability characterize disease phenotypes diseases....
<b>Introduction:</b> COPD is characterised by airflow limitation, caused parenchymal destruction and small airways disease. This study aims to use a novel quantitative CT method (DPM) assess the contribution of disease in COPD. <b>Methods:</b> 38 Mild-moderate subjects, 21 ex (ES) 17 non-smokers (NS) had chest performed inspiration expiration. Image analysis was VIDA Lungprints (DPM), which registers inspiratory expiratory images, classifying each voxel as normal, emphysema or gas trapping...
Convolutional Neural Network (CNN)-based models using Computed Tomography (CT) images classify Chronic Obstructive Pulmonary Disease (COPD) patients with high accuracy, but studies have used various different input and it is unclear what are optimum, particularly in a milder COPD cohort. We propose novel approach 2D airway-optimized topological multi-planar reformat (airway-optimized tMPR) as well 3D fusion methods compared the performance of these established 2D/3D CNN-based...
<h3>Introduction and Objectives</h3> In the phase 2 CASCADE (NCT03688074) randomized controlled trial, tezepelumab treatment reduced number of occlusive mucus plugs compared with placebo in a broad population patients moderate to severe, uncontrolled asthma. recipients, reductions plug scores correlated improvements lung function, blood eosinophil counts levels eosinophil-derived neurotoxin. This <i>post hoc</i> analysis investigated whether reduction plugging observed was also associated...