Integrating static and dynamic features of melanoma: the DynaMel algorithm.

Background: Sequential digital dermatoscopy identifies dynamic changes in melanocytic lesions. However, no algorithm exists that systematically weights dynamic changes regarding their association with melanoma.

Objective: We sought to identify relevant dynamic changes and to integrate these into a novel diagnostic algorithm.

Selection of patients for long-term surveillance with digital dermoscopy by assessment of melanoma risk factors.

Objective: To identify patients at increased melanoma risk who benefit from long-term surveillance with digital dermoscopy.

Design: Prospective, nonrandomized, observational study.

Setting: University-based surveillance program.

Seven-point checklist for dermatoscopy: performance during 10 years of prospective surveillance of patients at increased melanoma risk.

Background: The retrospectively developed 7-point checklist is one of the most applicable dermatoscopic algorithms for clinical use. However, until today no prospective data on the diagnostic performance of this algorithm were reported.

Objective: Our aim was to assess the sensitivity, specificity, and diagnostic accuracy of the 7-point checklist in the setting of a prospective long-term study.