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Journal of Biomedical Optics

Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi
Author(s): Daniel S. Gareau; Ricky J. Hennessey; Eric Wan; Giovanni Pellacani; Steven L. Jacques
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Paper Abstract

In-vivo reflectance confocal microscopy (RCM) shows promise for the early detection of superficial spreading melanoma (SSM). RCM of SSM shows pagetoid melanocytes (PMs) in the epidermis and disarray at the dermal-epidermal junction (DEJ), which are automatically quantified with a computer algorithm that locates depth of the most superficial pigmented surface [DSPS(x,y)] containing PMs in the epidermis and pigmented basal cells near the DEJ. The algorithm uses 200 noninvasive confocal optical sections that image the superficial 200 μm of ten skin sites: five unequivocal SSMs and five nevi. The pattern recognition algorithm automatically identifies PMs in all five SSMs and finds none in the nevi. A large mean gradient ψ (roughness) between laterally adjacent points on DSPS(x,y) identifies DEJ disruption in SSM ψ = 11.7 ± 3.7 [−] for n = 5 SSMs versus a small ψ = 5.5 ± 1.0 [−] for n = 5 nevi (significance, p = 0.0035). Quantitative endpoint metrics for malignant characteristics make digital RCM data an attractive diagnostic asset for pathologists, augmenting studies thus far, which have relied largely on visual assessment.

Paper Details

Date Published: 1 November 2010
PDF: 10 pages
J. Biomed. Opt. 15(6) 061713 doi: 10.1117/1.3524301
Published in: Journal of Biomedical Optics Volume 15, Issue 6
Show Author Affiliations
Daniel S. Gareau, Oregon Health & Science Univ. (United States)
Ricky J. Hennessey, Oregon Health & Science Univ. (United States)
Eric Wan, Oregon Health & Science Univ. (United States)
Giovanni Pellacani, Univ. degli Studi di Modena e Reggio Emilia (Italy)
Steven L. Jacques, Oregon Health & Science Univ. (United States)


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