Literature DB >> 32388002

Emphysema - The review of radiological presentation and its clinical impact in the LDCT screening era.

Agata Durawa1, Katarzyna Dziadziuszko2, Małgorzata Jelitto-Górska2, Edyta Szurowska2.   

Abstract

Emphysema is one of three main lung pathologies in Chronic Obstructive Pulmonary Disease, along with chronic bronchitis and small airway obstruction. The diagnosis is based on detection of low attenuation areas in lung tissue on chest Computed Tomography, either visual by a radiologist, or automatic by the applied Computed Tomography software. Results of the studies on the association between emphysema and lung cancer incidence are mixed. Many studies have demonstrated, that chronic lung diseases, like Chronic Obstructive Pulmonary Disease, are associated with lung cancer morbidity. There is also evidence, that emphysema can be related with worse prognosis in patients with detected lung cancer. In this review article we aim to summarize current knowledge about emphysema detection and evaluation on Computed Tomography, both quantitative and qualitative. We also summarize current data on correlation between emphysema and lung cancer, as well as its potential use in selecting patients, who would most benefit from lung cancer screening.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COPD; Emphysema; LDCT; Lung cancer

Year:  2020        PMID: 32388002     DOI: 10.1016/j.clinimag.2020.04.018

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  1 in total

1.  AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.

Authors:  Yeshaswini Nagaraj; Hendrik Joost Wisselink; Mieneke Rook; Jiali Cai; Sunil Belur Nagaraj; Grigory Sidorenkov; Raymond Veldhuis; Matthijs Oudkerk; Rozemarijn Vliegenthart; Peter van Ooijen
Journal:  J Digit Imaging       Date:  2022-02-18       Impact factor: 4.903

  1 in total

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