Differentiation between pigmented Spitz naevus and melanoma by digital dermoscopy and stepwise logistic discriminant analysis

Ketty Peris, P Rubegni, A Ferrari, G Cevenini, D Piccolo, M Burroni, R Perotti, P Taddeucci, M Biagioli, G Dell'Eva, S Chimenti, L. Andreassi

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

Epiluminescence light microscopy (ELM) has proven useful in the diagnosis of pigmented skin lesions (PSLs). However, in some cases this technique does not sufficiently increase the diagnostic accuracy in distinguishing pigmented Spitz naevi (PSNs) from melanoma. With the aim of obviating these problems of qualitative interpretation, methods based on the mathematical analysis of PSLs, such as digital dermoscopy analysis (DDA), have recently been developed. In the present study we used a digital dermoscope (DBDermo-MIPS, Dell'Eva-Burroni) to analyse PSNs and melanomas with similar clinical and dermoscopic features for any correlation between variables and to determine its discriminating power with respect to histological diagnosis. The 100 lesions underwent histological examination by three experienced dermatopathologists and were identified as PSNs (43) or melanomas (57). Thirty-six parameters were identified as possible discriminating variables and were grouped in four categories: geometry, colour, texture, and islands of colour. Statistical analysis was used to identify the variables with the highest discriminating power. Stepwise discriminant analysis selected only four variables: entropy, minimum diameter, red lesion value and peripheral dark (the means of these variables were higher in melanomas than in PSNs). Thus the combined use of digital dermoscopy and stepwise logistic discriminant analysis made it possible to single out the best objective variables for distinguishing PSN and melanoma.
Original languageEnglish
Pages (from-to)37-44
Number of pages8
JournalMelanoma Research
Volume11
Publication statusPublished - 2001

Keywords

  • Dermatology
  • Humans
  • Logistic Models
  • Melanoma
  • Microscopy
  • Models, Theoretical
  • Nevus, Epithelioid and Spindle Cell
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Skin Neoplasms
  • Software

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