title: Digital dermoscopy analysis of atypical pigmented skin lesions: a stepwise logistic discriminant analysis approach.
abstract: BACKGROUND
  Digital microscopy is a non-invasive diagnostic technique enabling determination of characteristics that cannot be appreciated by direct observation. If correctly applied, this technique can be useful for the diagnosis of pigmented skin lesions.
  
  
  OBJECTIVE
  To evaluate the utility of digital microscopy for analysing atypical benign and malignant pigmented skin lesions exploiting digital numerical filtering and automatic measurements.
  
  
  METHODS
  Forty-eight parameters were identified as possible discriminating variables, and were grouped in four categories: geometries, colours, textures, and islands of colour. Statistical analysis was used to identify the variables with the highest discriminating power.
  
  
  RESULTS
  The high quality of the digital image made it possible to observe diagnostic signs in pigmented skin lesion images, acquired by the present technique, in great detail. Specially designed filtering enhanced certain diagnostic patterns. Stepwise discriminant analysis selected only 10 variables (the means of these variables were higher in melanomas than in nevi).
  
  
  CONCLUSIONS
  The combined use of digital dermoscopy and stepwise logistic discriminant analysis made it possible to single out the best objective variables for distinguishing atypical nevi and early melanoma.
authors.affiliation: Department of Dermatology, University of Siena, Policlinico 'Le Scotte, 53100 Siena, Italy. rubegni@unisi.it
authors.forename: P
authors.initials: P
authors.lastname: Rubegni
authors.forename: G
authors.initials: G
authors.lastname: Cevenini
authors.forename: M
authors.initials: M
authors.lastname: Burroni
authors.forename: G
authors.initials: G
authors.lastname: Dell'Eva
authors.forename: P
authors.initials: P
authors.lastname: Sbano
authors.forename: A
authors.initials: A
authors.lastname: Cuccia
authors.forename: L
authors.initials: L
authors.lastname: Andreassi
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D016002:Discriminant Analysis; D006801:Humans; D008545:Melanoma / Q000473:pathology*; D009508:Nevus, Pigmented / Q000473:pathology*; D011237:Predictive Value of Tests; D012878:Skin Neoplasms / Q000473:pathology*