Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the internet

Giuseppe Argenziano, H. Peter Soyer, Sergio Chimenti, Renato Talamini, Rosamaria Corona, Francesco Sera, Michael Binder, Lorenzo Cerroni, Gaetano De Rosa, Gerardo Ferrara, Rainer Hofmann-Wellenhof, Michael Landthaler, Scott W. Menzies, Hubert Pehamberger, Domenico Piccolo, Harold S. Rabinovitz, Roman Schiffner, Stefania Staibano, Wilhelm Stolz, Igor BartenjevAndreas Blum, Ralph Braun, Horacio Cabo, Paolo Carli, Vincenzo De Giorgi, Matthew G. Fleming, James M. Grichnik, Caron M. Grin, Allan C. Halpern, Robert Johr, Brian Katz, Robert O. Kenet, Harald Kittler, Jürgen Kreusch, Josep Malvehy, Giampiero Mazzocchetti, Margaret Oliviero, Fezal Özdemir, Ketty Peris, Roberto Perotti, Ana Perusquia, Maria Antonietta Pizzichetta, Susana Puig, Babar Rao, Pietro Rubegni, Toshiaki Saida, Massimiliano Scalvenzi, Stefania Seidenari, Ignazio Stanganelli, Masaru Tanaka, Karin Westerhoff, Ingrid H. Wolf, Otto Braun-Falco, Helmut Kerl, Takeji Nishikawa, Klaus Wolff, Alfred W. Kopf

Research output: Contribution to journalArticlepeer-review

985 Scopus citations


Background: There is a need for better standardization of the dermoscopic terminology in assessing pigmented skin lesions. Objective: The virtual Consensus Net Meeting on Dermoscopy was organized to investigate reproducibility and validity of the various features and diagnostic algorithms. Methods: Dermoscopic images of 108 lesions were evaluated via the Internet by 40 experienced dermoscopists using a 2-step diagnostic procedure. The first-step algorithm distinguished melanocytic versus nonmelanocytic lesions. The second step in the diagnostic procedure used 4 algorithms (pattern analysis, ABCD rule, Menzies method, and 7-point checklist) to distinguish melanoma versus benign melanocytic lesions. K Values, log odds ratios, sensitivity, specificity, and positive likelihood ratios were estimated for all diagnostic algorithms and dermoscopic features. Results: Interobserver agreement was fair to good for all diagnostic methods, but it was poor for the majority of dermoscopic criteria. Intraobserver agreement was good to excellent for all algorithms and features considered. Pattern analysis allowed the best diagnostic performance (positive likelihood ratio: 5.1), whereas alternative algorithms revealed comparable sensitivity but less specificity. Interobserver agreement on management decisions made by dermoscopy was fairly good (mean κ value: 0.53). Conclusion: The virtual Consensus Net Meeting on Dermoscopy represents a valid tool for better standardization of the dermoscopic terminology and, moreover, opens up a new territory for diagnosing and managing pigmented skin lesions.

Original languageEnglish (US)
Pages (from-to)679-693
Number of pages15
JournalJournal of the American Academy of Dermatology
Issue number5
StatePublished - May 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Dermatology


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