Digital epiluminescence microscopy: usefulness in the differential diagnosis of cutaneous pigmentary lesions. A statistical comparison between visual and computer inspection

Melanoma Res. 2000 Aug;10(4):345-9. doi: 10.1097/00008390-200008000-00005.

Abstract

Epiluminescence light microscopy (ELM) has been confirmed to be a useful tool for the diagnosis of pigmented skin lesions. The application of digital systems to epiluminescence represents the latest attempt to improve the diagnosis of cutaneous melanoma. The aim of this study was to compare the diagnostic accuracy of one of these systems, the DB-Dermo MIPS, with the accuracy of well-trained dermatologists using the ELM technique in order to establish the real usefulness of this instrument and to verify how much it can help the clinician make a diagnosis in a clinical setting. During a campaign for the early diagnosis of cutaneous melanoma, 311 patients with non-melanocytic lesions, common naevi, dysplastic naevi and melanomas underwent clinical diagnosis using ELM, computerized evaluation with DB-Dermo MIPS and skin biopsy. Sensitivity, specificity, true and negative predictive value were evaluated for epiluminescence and digital epiluminescence. Our study revealed that the inspection of pigmented skin lesions by digital epiluminescence has a better diagnostic accuracy than that of a trained dermatologist using the epiluminescence technique only. In our experience, this computerized system can play an essential role in the detection of early melanomas.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Diagnosis, Computer-Assisted / methods
  • Diagnosis, Differential
  • Dysplastic Nevus Syndrome / classification
  • Dysplastic Nevus Syndrome / diagnosis*
  • False Positive Reactions
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Luminescent Measurements
  • Melanoma / classification
  • Melanoma / diagnosis*
  • Microscopy / methods*
  • Nevus, Pigmented / classification
  • Nevus, Pigmented / diagnosis*
  • Predictive Value of Tests
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Skin Neoplasms / classification
  • Skin Neoplasms / diagnosis*