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    The prevalence of adrenal incidentaloma in routine clinical practice.

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    Authors
    Davenport, Colin
    Liew, Aaron
    Doherty, Bryan
    Win, Htet Htet N
    Misran, Hafiza
    Hanna, Sarah
    Kealy, David
    Al-Nooh, Fatima
    Agha, Amar
    Thompson, Christopher J
    Lee, Michael
    Smith, Diarmuid
    Show allShow less
    Affiliation
    Department of Diabetes and Endocrinology, Royal College of Surgeons in Ireland, Medical School, Beaumont Hospital, Dublin 9, Ireland. drcdavenport@gmail.com
    Issue Date
    2012-02-01T09:59:11Z
    
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    Citation
    Endocrine. 2011 Aug;40(1):80-3. Epub 2011 Mar 10.
    Journal
    Endocrine
    URI
    http://hdl.handle.net/10147/207098
    DOI
    10.1007/s12020-011-9445-6
    PubMed ID
    21547511
    Abstract
    The prevalence of adrenal incidentaloma (AI) on computed tomography (CT) in the general population has been reported to be as high as 4.2%. However, many of the previous studies in this field utilised a prospective approach with analysis of CT scans performed by one or more radiologists with a specialist interest in adrenal tumours and a specific focus on identifying the presence of an adrenal mass. A typical radiology department, with a focus on the patient's presenting complaint as opposed to the adrenal gland, may not be expected to diagnose as many adrenal incidentalomas as would be identified in a dedicated research protocol. We hypothesised that the number of AI reported in routine clinical practice is significantly lower than the published figures would suggest. We retrospectively reviewed the reports of all CT thorax and abdomen scans performed in our hospital over a 2 year period. 3,099 patients underwent imaging, with 3,705 scans performed. The median age was 63 years (range 18-98). Thirty-seven true AI were diagnosed during the time period studied. Twenty-two were diagnosed by CT abdomen (22/2,227) and 12 by CT thorax (12/1,478), a prevalence of 0.98 and 0.81% with CT abdomen and thorax, respectively, for AI in routine clinical practice.
    Language
    eng
    ISSN
    1559-0100 (Electronic)
    1355-008X (Linking)
    ae974a485f413a2113503eed53cd6c53
    10.1007/s12020-011-9445-6
    Scopus Count
    Collections
    Beaumont Hospital

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