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Chest. 2019 Jul 26. pii: S0012-3692(19)31381-9. doi: 10.1016/j.chest.2019.06.037. [Epub ahead of print]

Lung Hyperlucency: A Clinical-Radiologic Algorithmic Approach to Diagnosis.

Author information

1
Division of Pulmonary, Critical Care, and Sleep Medicine, University of Texas Health - McGovern Medical School, Houston, TX.
2
Department of Radiology, Division of Thoracic Radiology, NYU Langone Health, New York, NY.
3
Department of Radiology, Lenox Hill Hospital, New York, NY.
4
Department of Medicine, National Jewish Health, Denver, CO.
5
Mayo Clinic College of Medicine and Science, Rochester, MN.
6
Division of Pulmonary, Critical Care and Sleep Medicine, University of Cincinnati, Cincinnati, OH.
7
Division of Pulmonary Medicine, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
8
Division of Pulmonary, Critical Care and Sleep Medicine, Long Island Jewish Medical Center, New Hyde Park, NY.
9
Medicine and Radiology, Barbara and Donald Zuckerberg School of Medicine at Hofstra/Northwell, New York, NY.
10
Pulmonary, Critical Care & Sleep Medicine, Lenox Hill Hospital, New York, NY; Medicine and Radiology, Barbara and Donald Zuckerberg School of Medicine at Hofstra/Northwell, New York, NY. Electronic address: suhailraoof@gmail.com.

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.

KEYWORDS:

airway; lung hyperlucency; parenchymal; pulmonary hyperlucency; vascular

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