Literature DB >> 27115944

Computed Tomography-based Subclassification of Chronic Obstructive Pulmonary Disease.

Asger Dirksen1, Mathilde M W Wille2.   

Abstract

Computed tomography (CT) is an obvious modality for subclassification of COPD. Traditionally, the pulmonary involvement of chronic obstructive pulmonary disease (COPD) in smokers is understood as a combination of deleterious effects of smoking on small airways (chronic bronchitis and small airways disease) and distal to the airways with destruction and loss of lung parenchyma (emphysema). However, segmentation of airways is still experimental; with contemporary high-resolution CT (HRCT) we can just see the "entrance" of small airways, and until now changes in airway morphology that have been observed in COPD are subtle. Furthermore, recent results indicate that emphysema may also be the essential pathophysiologic mechanism behind the airflow limitation of COPD. The definition of COPD excludes bronchiectasis as a symptomatic subtype of COPD, and CT findings in chronic bronchitis and exacerbations of COPD are rather unspecific. This leaves emphysema as the most obvious candidate for subclassification of COPD. Both chest radiologists and pulmonary physicians are quite familiar with the appearance of various patterns of emphysema on HRCT, such as centrilobular, panlobular, and paraseptal emphysema. However, it has not yet been possible to develop operational definitions of these patterns that can be used by computer software to automatically classify CT scans into distinct patterns. In conclusion, even though various emphysema patterns can be recognized visually, CT has not yet demonstrated a great potential for automated subclassification of COPD, and it is an open question whether it will ever be possible to achieve success equivalent to that obtained by HRCT in the area of interstitial lung diseases.

Entities:  

Keywords:  chronic obstructive pulmonary disease; emphysema; imaging; phenotypes; small airways disease

Mesh:

Year:  2016        PMID: 27115944     DOI: 10.1513/AnnalsATS.201503-178KV

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  5 in total

1.  Deep Learning Enables Automatic Classification of Emphysema Pattern at CT.

Authors:  Stephen M Humphries; Aleena M Notary; Juan Pablo Centeno; Matthew J Strand; James D Crapo; Edwin K Silverman; David A Lynch
Journal:  Radiology       Date:  2019-12-03       Impact factor: 11.105

Review 2.  Chronic obstructive pulmonary disease with mild airflow limitation: current knowledge and proposal for future research - a consensus document from six scientific societies.

Authors:  Andrea Rossi; Bojana Butorac-Petanjek; Marco Chilosi; Borja G Cosío; Matjaz Flezar; Nikolaos Koulouris; José Marin; Neven Miculinic; Guido Polese; Miroslav Samaržija; Sabina Skrgat; Theodoros Vassilakopoulos; Andrea Vukić-Dugac; Spyridon Zakynthinos; Marc Miravitlles
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-08-29

3.  Comparison of the Factors Influencing Pulmonary Arterial Pressure in Smoker and Non-smoker COPD Patients with Pulmonary Hypertension.

Authors:  Abolhasan Halvani; Hamidreza Haddad
Journal:  Tanaffos       Date:  2019-01

4.  Bio-artificial pleura using autologous dermal fibroblast sheets to mitigate air leaks during thoracoscopic lung resection.

Authors:  Masato Kanzaki; Ryo Takagi; Kaoru Washio; Mami Kokubo; Shota Mitsuboshi; Tamami Isaka; Masayuki Yamato
Journal:  NPJ Regen Med       Date:  2021-01-04

5.  Phenotyping COPD Patients with Emphysema Distribution Using Quantitative CT Measurement; More Severe Airway Involvement in Lower Dominant Emphysema.

Authors:  Jisoo Park; Eun-Kyung Kim; Se Hee Lee; Mi-Ae Kim; Jung-Hyun Kim; Sang Min Lee; Jae Seung Lee; Yeon-Mok Oh; Sang-Do Lee; Ji-Hyun Lee
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-08-31
  5 in total

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