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    Early diagnosis of acromegaly: computers vs clinicians.

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    Authors
    Miller, Ralph
    Learned-Miller, Erik G
    Trainer, Peter J
    Paisley, Angela N
    Blanz, Volker
    Affiliation
    Division of Endocrinology, Department of Medicine, University of Kentucky, Lexington, KY
    Issue Date
    2011-08
    
    Metadata
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    Abstract
    Background  Early diagnosis of a number of endocrine diseases is theoretically possible by the examination of facial photographs. One of these is acromegaly. If acromegaly were found, early in the course of the disease, morbidity would be lessened and cures more likely. Objectives, design, patients, measurements  Our objective was to develop a computer program which would separate 24 facial photographs, of patients with acromegaly, from those of 25 normal subjects. The key to doing this was to use a previously developed database that consisted of three-dimensional representations of 200 normal person's heads (SIGGRAPH '99 Conference Proceedings, 1999). We transformed our 49, two-dimensional photos into three-dimensional constructs and then, using the computer program, attempted to separate them into those with and without the features of acromegaly. We compared the accuracy of the computer to that of 10 generalist physicians. A second objective was to examine, by a subjective analysis, the features of acromegaly in the normal subjects of our photographic database. Results  The accuracy of the computer model was 86%; the average of the 10 physicians was 26%. The worst individual physician, 16%, the best, 90%. The faces of 200 normal subjects, the original faces in the database, could be divided into four groups, averaged by computer, from those with fewer to those with more features of acromegaly. Conclusions  The present computer model can sort photographs of patients with acromegaly from photographs of normal subjects and is much more accurate than the sorting by practicing generalists. Even normal subjects have some of the features of acromegaly. Screening with this approach can be improved with automation of the procedure, software development and the identification of target populations in which the prevalence of acromegaly may be increased over that in the general population.
    Citation
    Early diagnosis of acromegaly: computers vs clinicians. 2011, 75 (2):226-31 Clin Endocrinol
    Journal
    Clinical Endocrinology
    URI
    http://hdl.handle.net/10541/136152
    DOI
    10.1111/j.1365-2265.2011.04020.x
    PubMed ID
    21521289
    Type
    Article
    Language
    en
    ISSN
    1365-2265
    ae974a485f413a2113503eed53cd6c53
    10.1111/j.1365-2265.2011.04020.x
    Scopus Count
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    All Christie Publications
    Endocrinology

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