Imaging advances in chronic obstructive pulmonary disease. Insights from the genetic epidemiology of chronic obstructive pulmonary disease (COPDGene) study

SP Bhatt, GR Washko, EA Hoffman… - American journal of …, 2019 - atsjournals.org
The Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) study,
which began in 2007, is an ongoing multicenter observational cohort study of more than …

Clinical characteristics of patients with chronic obstructive pulmonary disease with comorbid bronchiectasis: a systemic review and meta-analysis

Y Ni, G Shi, Y Yu, J Hao, T Chen… - International journal of …, 2015 - Taylor & Francis
Background In the 2014 Global initiative for chronic Obstructive Lung Disease guidelines,
bronchiectasis was for the first time defined as a comorbidity of chronic obstructive …

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) …

CT-based visual classification of emphysema: association with mortality in the COPDGene study

DA Lynch, CM Moore, C Wilson, D Nevrekar… - Radiology, 2018 - pubs.rsna.org
Purpose To determine whether visually assessed patterns of emphysema at CT might
provide a simple assessment of mortality risk among cigarette smokers. Materials and …

Pulmonary emphysema subtypes on computed tomography: the MESA COPD study

BM Smith, JHM Austin, JD Newell Jr… - The American journal of …, 2014 - Elsevier
Background Pulmonary emphysema is divided into 3 major subtypes at autopsy:
centrilobular, paraseptal, and panlobular emphysema. These subtypes can be defined by …

Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review

EM Van Rikxoort, B Van Ginneken - Physics in Medicine & …, 2013 - iopscience.iop.org
Computed tomography (CT) is the modality of choice for imaging the lungs in vivo. Sub-
millimeter isotropic images of the lungs can be obtained within seconds, allowing the …

Automated CT staging of chronic obstructive pulmonary disease severity for predicting disease progression and mortality with a deep learning convolutional neural …

KA Hasenstab, N Yuan, T Retson… - Radiology …, 2021 - pubs.rsna.org
Purpose To develop a deep learning–based algorithm to stage the severity of chronic
obstructive pulmonary disease (COPD) through quantification of emphysema and air …

Quantitative computed tomographic imaging–based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes

S Choi, EA Hoffman, SE Wenzel, M Castro… - Journal of Allergy and …, 2017 - Elsevier
Background Imaging variables, including airway diameter, wall thickness, and air trapping,
have been found to be important metrics when differentiating patients with severe asthma …

[HTML][HTML] A systematic review of automated segmentation methods and public datasets for the lung and its lobes and findings on computed tomography images

D Carmo, J Ribeiro, S Dertkigil… - Yearbook of Medical …, 2022 - thieme-connect.com
Objectives: Automated computational segmentation of the lung and its lobes and findings in
X-Ray based computed tomography (CT) images is a challenging problem with important …

CT densitometry in emphysema: a systematic review of its clinical utility

D Crossley, M Renton, M Khan, EV Low… - International journal of …, 2018 - Taylor & Francis
Background The aim of the study was to assess the relationship between computed
tomography (CT) densitometry and routine clinical markers in patients with chronic …