Pulmonary hypertension in chronic lung disease and hypoxia

SD Nathan, JA Barbera, SP Gaine… - European …, 2019 - Eur Respiratory Soc
Pulmonary hypertension (PH) frequently complicates the course of patients with various
forms of chronic lung disease (CLD). CLD-associated PH (CLD-PH) is invariably associated …

Pulmonary hypertension in chronic lung diseases

W Seeger, Y Adir, JA Barberà, H Champion… - Journal of the American …, 2013 - jacc.org
Chronic obstructive lung disease (COPD) and diffuse parenchymal lung diseases (DPLD),
including idiopathic pulmonary fibrosis (IPF) and sarcoidosis, are associated with a high …

Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary

CF Vogelmeier, GJ Criner, FJ Martinez… - American journal of …, 2017 - atsjournals.org
This Executive Summary of the Global Strategy for the Diagnosis, Management, and
Prevention of COPD, Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017 …

Blood eosinophil counts, exacerbations, and response to the addition of inhaled fluticasone furoate to vilanterol in patients with chronic obstructive pulmonary disease …

S Pascoe, N Locantore, MT Dransfield… - The lancet Respiratory …, 2015 - thelancet.com
Background The short-term benefits of inhaled corticosteroids for patients with chronic
obstructive pulmonary disease (COPD) are greater in patients with evidence of eosinophilic …

CT-definable subtypes of chronic obstructive pulmonary disease: a statement of the Fleischner Society

DA Lynch, JHM Austin, JC Hogg, PA Grenier… - Radiology, 2015 - pubs.rsna.org
The purpose of this statement is to describe and define the phenotypic abnormalities that
can be identified on visual and quantitative evaluation of computed tomographic (CT) …

Disease staging and prognosis in smokers using deep learning in chest computed tomography

G Gonzalez, SY Ash… - American journal of …, 2018 - atsjournals.org
Rationale: Deep learning is a powerful tool that may allow for improved outcome prediction.
Objectives: To determine if deep learning, specifically convolutional neural network (CNN) …

Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence

A Hagiwara, S Fujita, Y Ohno, S Aoki - Investigative radiology, 2020 - journals.lww.com
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …

Inflammatory biomarkers and exacerbations in chronic obstructive pulmonary disease

M Thomsen, TS Ingebrigtsen, JL Marott, M Dahl… - Jama, 2013 - jamanetwork.com
Importance Exacerbations of respiratory symptoms in chronic obstructive pulmonary disease
(COPD) have profound and long-lasting adverse effects on patients. Objective To test the …

Acute exacerbations of chronic obstructive pulmonary disease: in search of diagnostic biomarkers and treatable traits

AG Mathioudakis, W Janssens, P Sivapalan… - Thorax, 2020 - thorax.bmj.com
Acute exacerbations of chronic obstructive pulmonary disease (COPD) are associated with a
significant mortality, health and economic burden. Their diagnosis, assessment and …

SPIROMICS protocol for multicenter quantitative computed tomography to phenotype the lungs

JP Sieren, JD Newell Jr, RG Barr… - American journal of …, 2016 - atsjournals.org
Multidetector row computed tomography (MDCT) is increasingly taking a central role in
identifying subphenotypes within chronic obstructive pulmonary disease (COPD), asthma …