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Review
. 2018 Jun;153(6):1443-1465.
doi: 10.1016/j.chest.2018.02.026. Epub 2018 Mar 6.

Cavitary Lung Diseases: A Clinical-Radiologic Algorithmic Approach

Affiliations
Review

Cavitary Lung Diseases: A Clinical-Radiologic Algorithmic Approach

Khalid Gafoor et al. Chest. 2018 Jun.

Abstract

Cavities occasionally are encountered on thoracic images. Their differential diagnosis is large and includes, among others, various infections, autoimmune conditions, and primary and metastatic malignancies. We offer an algorithmic approach to their evaluation by initially excluding mimics of cavities and then broadly classifying them according to the duration of clinical symptoms and radiographic abnormalities. An acute or subacute process (< 12 weeks) suggests common bacterial and uncommon nocardial and fungal causes of pulmonary abscesses, necrotizing pneumonias, and septic emboli. A chronic process (≥ 12 weeks) suggests mycobacterial, fungal, viral, or parasitic infections; malignancy (primary lung cancer or metastases); or autoimmune disorders (rheumatoid arthritis and granulomatosis with polyangiitis). Although a number of radiographic features can suggest a diagnosis, their lack of specificity requires that imaging findings be combined with the clinical context to make a confident diagnosis.

Keywords: cavitary; cavitating infections; cavitation; cavity; focal lucencies; necrotic lesions.

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Comment in

  • CT Chest in Cavitary Lung Disease: Looking Beyond the Lungs.
    Sharma M, Verma N, Kapila P, Sood D. Sharma M, et al. Chest. 2018 Jun;153(6):1513-1515. doi: 10.1016/j.chest.2018.03.055. Chest. 2018. PMID: 29884268 No abstract available.
  • Response.
    Raoof S, Naidich DP, Ryu JH, Machnicki S, Patel S, Gafoor K, Franquet T, Gupta N, Girvin F. Raoof S, et al. Chest. 2018 Jun;153(6):1515-1516. doi: 10.1016/j.chest.2018.04.017. Chest. 2018. PMID: 29884270 No abstract available.