Authors: | Cherian, S. V.; Girvin, F.; Naidich, D. P.; Machnicki, S.; Brown, K. K.; Ryu, J. H.; Gupta, N.; Mehta, V.; Estrada -Y- Martin, R. M.; Narasimhan, M.; Oks, M.; Raoof, S. |
Review Title: | Lung hyperlucency: A clinical-radiologic algorithmic approach to diagnosis |
Abstract: | Areas of diminished lung density are frequently identified both on routine chest radiographs and chest CT examinations. Colloquially referred to as hyperlucent foci of lung, a broad range of underlying pathophysiologic mechanisms and differential diagnoses account for these changes. Despite this, the spectrum of etiologies can be categorized into underlying parenchymal, airway, and vascular-related entities. The purpose of this review is to provide a practical diagnostic algorithmic approach to pulmonary hyperlucencies incorporating clinical history and characteristic imaging patterns to narrow the differential. © 2019 |
Keywords: | review; computer assisted tomography; differential diagnosis; algorithm; thorax radiography; radiodiagnosis; vascular; airway; hypertranslucent lung; medical history; parenchymal; human; priority journal; lung hyperlucency; pulmonary hyperlucency |
Journal Title: | Chest |
Volume: | 157 |
Issue: | 1 |
ISSN: | 0012-3692 |
Publisher: | American College of Chest Physicians |
Date Published: | 2020-01-01 |
Start Page: | 119 |
End Page: | 141 |
Language: | English |
DOI: | 10.1016/j.chest.2019.06.037 |
PUBMED: | 31356811 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Review -- Source: Scopus |