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자료유형
학술저널
저자정보
저널정보
대한피부과학회 Annals of Dermatology Annals of Dermatology 제26권 제3호
발행연도
2014.1
수록면
314 - 320 (7page)

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Background: Computer-aided image analysis (CAIA) hasbeen suggested as an effective diagnostic tool for pigmentedskin lesions (PSLs), especially melanoma. However, fewstudies on benign PSLs have been reported. Objective: Thepurpose of this study was to evaluate benign PSLs with ourCAIA software and analyze the differences between theparameters of those lesions. Methods: By using homegrownCAIA software, we analyzed 3 kinds of PSLs−nevus, lentigo,and seborrheic keratosis. The group of seborrheic keratosiswas divided into pigmented seborrheic keratosis, sebolentigine,and hyperkeratotic seborrheic keratosis. The CAIAwas used to extract the color, as well as the morphological,textural, and topological features from each image. Results:In line with clinical observations, the objective parametersindicated that nevus was dark and round, lentigo was smalland bright, and seborrheic keratosis was large and spiky. Thesurface of nevus showed the highest contrast and correlation. In topological analysis, the concentricity clearly separatedmelanocytic lesions from seborrheic keratosis. The parametersof pigmented seborrheic keratosis were betweenthose of typical nevus and seborrheic keratosis. Conclusion:We confirmed that definite correlations exist between thesubjective differentiation by experts’ examination and theobjective evaluation by using CAIA. We also found that themorphological differences observed in CAIA were greatlyinfluenced by the composition ratios of keratinocytes andmelanocytes, which are already known histopathologicalcharacteristics of each PSL.

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