Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging

Alexey Lihachev (Coresponding Author), Ilze Lihacova, Emilija V. Plorina, Marta Lange, Alexander Derjabo, Janis Spigulis

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

A clinical trial on the autofluorescence imaging of skin lesions comprising 16 dermatologically confirmed pigmented nevi, 15 seborrheic keratosis, 2 dysplastic nevi, histologically confirmed 17 basal cell carcinomas and 1 melanoma was performed. The autofluorescence spatial properties of the skin lesions were acquired by smartphone RGB camera under 405 nm LED excitation. The diagnostic criterion is based on the calculation of the mean autofluorescence intensity of the examined lesion in the spectral range of 515 nm-700 nm. The proposed methodology is able to differentiate seborrheic keratosis from basal cell carcinoma, pigmented nevi and melanoma. The sensitivity and specificity of the proposed method was estimated as being close to 100%. The proposed methodology and potential clinical applications are discussed in this article.

Original languageEnglish
Article number318773
Pages (from-to)1852-1858
JournalBiomedical Optics Express
Volume9
Issue number4
DOIs
Publication statusPublished - 1 Apr 2018
Externally publishedYes

Field of Science*

  • 1.3 Physical sciences
  • 2.6 Medical engineering
  • 3.4 Medical biotechnology

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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