title: Correlation Between the Evaluation of Pigmented Lesions by a Multi-spectral Digital Skin Lesion Analysis Device and the Clinical and Histological Features of Melanoma.
abstract: OBJECTIVE
  To correlate Multi-spectral Digital Skin Lesion Analysis classifier scores with histopathological severity of pigmented lesions and clinical features of melanoma.
  
  
  METHODS
  Classifier scores were computed for 1,632 skin lesions. Dermatologists evaluated the same lesions for Asymmetry, Border Irregularity, Color variegation, Diameter >6mm, Evolution, Patient's Concern, Regression, and/or "Ugly Duckling" sign. Classifier scores were correlated to the number of clinical risk features and for six histopathological severity levels of pigmented lesions.
  
  
  METHODS
  Average classifier score, Welch's t-test, and chi-square analysis.
  
  
  RESULTS
  Melanomas had higher mean classifier scores (3.5) than high-grade dysplastic nevi (2.7, p=0.002), low-grade dysplastic nevi (1.7, p<0.0001), non-dysplastic nevi (1.6, p<0.0001), and benign non-melanocytic lesions (2.0, p<0.0001). Classifier score and the number of clinical risk characteristics directly correlated (Pearson coefficient 0.32, p<0.0001).
  
  
  CONCLUSIONS
  Correlation of classifier scores to clinical and histological melanoma features supports the effectiveness of Multi-spectral Digital Skin Lesion Analysis in assessing the risk of pigmented lesions requiring biopsy. Optimizing outcomes of dermatologist decisions to biopsy suspicious pigmented lesions may be enhanced utilizing Multi-spectral Digital Skin Lesion Analysis.
authors.affiliation: Rigel Dermatology, New York, New York;
authors.forename: Richard R
authors.initials: RR
authors.lastname: Winkelmann
authors.affiliation: Department of Dermatology, New York University, New York, New York;
authors.forename: Darrell S
authors.initials: DS
authors.lastname: Rigel
authors.affiliation: Department of Dermatology, University of Pittsburgh, Pittsburgh, Pennsylvania;
authors.forename: Laura
authors.initials: L
authors.lastname: Ferris
authors.affiliation: Harvard Medical School, Boston, Massachusetts;
authors.forename: Arthur
authors.initials: A
authors.lastname: Sober
authors.affiliation: MELA Sciences Inc., Irvington, New York;
authors.forename: Natalie
authors.initials: N
authors.lastname: Tucker
authors.affiliation: University of Texas Southwestern Medical Center, Dallas, Texas.
authors.forename: Clay J
authors.initials: CJ
authors.lastname: Cockerell