Nondermatoscopic digital imaging of pigmented lesions.
OBJECTIVE
Pigmented lesions are often difficult to evaluate clinically. Improvement of diagnostic accuracy by dermatoscopy has attracted much interet. With advanced digital imaging measurement of assymmetry, border irregularity and relative color as well as texture characteristics, lesional depth and changes in lesional area are now possible, the object of this review is to conclude the present status of these techniques and their potential.


CONCLUSIONS
Digital imaging of pigmented lesions to this date include acquiring and storing of images, quantification of clinical features including asymmetry, and teledermatology with transfer of images. Predicted uses include malignancy evaluation, delineation of depth of invasion and the development of large collections of pigment lesions observations. The field is rapidly expanding. As of 1994, it is unknown what role digital imaging will ultimately play in clinical dermatology.
Department of Internal Medicine, Division of Dermatology, University of Missouri-Columbia, Columbia MO 65212, USA and Department of Computer Science, University of Missouri-Rolla, Rolla, MO 65401, USA and Stoecker and Associates, 1100 W. 10th St., Rolla, MO 65401-2999, USADepartment of Electrical Engineering, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Computer Science, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Electrical Engineering, Southern Illinois University, Edwardsville, IL 62026-1801, USA.
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Stoecker
Department of Internal Medicine, Division of Dermatology, University of Missouri-Columbia, Columbia MO 65212, USA and Department of Computer Science, University of Missouri-Rolla, Rolla, MO 65401, USA and Stoecker and Associates, 1100 W. 10th St., Rolla, MO 65401-2999, USADepartment of Electrical Engineering, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Computer Science, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Electrical Engineering, Southern Illinois University, Edwardsville, IL 62026-1801, USA.
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Moss
Department of Internal Medicine, Division of Dermatology, University of Missouri-Columbia, Columbia MO 65212, USA and Department of Computer Science, University of Missouri-Rolla, Rolla, MO 65401, USA and Stoecker and Associates, 1100 W. 10th St., Rolla, MO 65401-2999, USADepartment of Electrical Engineering, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Computer Science, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Electrical Engineering, Southern Illinois University, Edwardsville, IL 62026-1801, USA.
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Ercal
Department of Internal Medicine, Division of Dermatology, University of Missouri-Columbia, Columbia MO 65212, USA and Department of Computer Science, University of Missouri-Rolla, Rolla, MO 65401, USA and Stoecker and Associates, 1100 W. 10th St., Rolla, MO 65401-2999, USADepartment of Electrical Engineering, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Computer Science, University of Missouri-Rolla, Intelligent Systems Center, University of Missouri-Rolla, Rolla MO, 65401, USADepartment of Electrical Engineering, Southern Illinois University, Edwardsville, IL 62026-1801, USA.
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Umbaugh
Image analysis; computer diagnosis; digital imaging; melanoma; pigmented lesions; skin cancer