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 journalArticle

783 Citations (Scopus)

Abstract

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
Pages (from-to)679-693
Number of pages15
JournalJournal of the American Academy of Dermatology
Volume48
Issue number5
DOIs
Publication statusPublished - May 1 2003

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Dermoscopy
Internet
Skin
Terminology
Sensitivity and Specificity
Hong Kong
Checklist
Melanoma
Odds Ratio

ASJC Scopus subject areas

  • Dermatology

Cite this

Argenziano, G., Soyer, H. P., Chimenti, S., Talamini, R., Corona, R., Sera, F., ... Kopf, A. W. (2003). Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the internet. Journal of the American Academy of Dermatology, 48(5), 679-693. https://doi.org/10.1067/mjd.2003.281

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

In: Journal of the American Academy of Dermatology, Vol. 48, No. 5, 01.05.2003, p. 679-693.

Research output: Contribution to journalArticle

Argenziano, G, Soyer, HP, Chimenti, S, Talamini, R, Corona, R, Sera, F, Binder, M, Cerroni, L, De Rosa, G, Ferrara, G, Hofmann-Wellenhof, R, Landthaler, M, Menzies, SW, Pehamberger, H, Piccolo, D, Rabinovitz, HS, Schiffner, R, Staibano, S, Stolz, W, Bartenjev, I, Blum, A, Braun, R, Cabo, H, Carli, P, De Giorgi, V, Fleming, MG, Grichnik, JM, Grin, CM, Halpern, AC, Johr, R, Katz, B, Kenet, RO, Kittler, H, Kreusch, J, Malvehy, J, Mazzocchetti, G, Oliviero, M, Özdemir, F, Peris, K, Perotti, R, Perusquia, A, Pizzichetta, MA, Puig, S, Rao, B, Rubegni, P, Saida, T, Scalvenzi, M, Seidenari, S, Stanganelli, I, Tanaka, M, Westerhoff, K, Wolf, IH, Braun-Falco, O, Kerl, H, Nishikawa, T, Wolff, K & Kopf, AW 2003, 'Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the internet', Journal of the American Academy of Dermatology, vol. 48, no. 5, pp. 679-693. https://doi.org/10.1067/mjd.2003.281
Argenziano, Giuseppe ; Soyer, H. Peter ; Chimenti, Sergio ; Talamini, Renato ; Corona, Rosamaria ; Sera, Francesco ; Binder, Michael ; Cerroni, Lorenzo ; De Rosa, Gaetano ; Ferrara, Gerardo ; Hofmann-Wellenhof, Rainer ; Landthaler, Michael ; Menzies, Scott W. ; Pehamberger, Hubert ; Piccolo, Domenico ; Rabinovitz, Harold S. ; Schiffner, Roman ; Staibano, Stefania ; Stolz, Wilhelm ; Bartenjev, Igor ; Blum, Andreas ; Braun, Ralph ; Cabo, Horacio ; Carli, Paolo ; De Giorgi, Vincenzo ; Fleming, Matthew G. ; Grichnik, James M. ; Grin, Caron M. ; Halpern, Allan C. ; Johr, Robert ; Katz, Brian ; Kenet, Robert O. ; Kittler, Harald ; Kreusch, Jürgen ; Malvehy, Josep ; Mazzocchetti, Giampiero ; Oliviero, Margaret ; Özdemir, Fezal ; Peris, Ketty ; Perotti, Roberto ; Perusquia, Ana ; Pizzichetta, Maria Antonietta ; Puig, Susana ; Rao, Babar ; Rubegni, Pietro ; Saida, Toshiaki ; Scalvenzi, Massimiliano ; Seidenari, Stefania ; Stanganelli, Ignazio ; Tanaka, Masaru ; Westerhoff, Karin ; Wolf, Ingrid H. ; Braun-Falco, Otto ; Kerl, Helmut ; Nishikawa, Takeji ; Wolff, Klaus ; Kopf, Alfred W. / Dermoscopy of pigmented skin lesions : Results of a consensus meeting via the internet. In: Journal of the American Academy of Dermatology. 2003 ; Vol. 48, No. 5. pp. 679-693.
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abstract = "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.",
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T1 - Dermoscopy of pigmented skin lesions

T2 - Results of a consensus meeting via the internet

AU - Argenziano, Giuseppe

AU - Soyer, H. Peter

AU - Chimenti, Sergio

AU - Talamini, Renato

AU - Corona, Rosamaria

AU - Sera, Francesco

AU - Binder, Michael

AU - Cerroni, Lorenzo

AU - De Rosa, Gaetano

AU - Ferrara, Gerardo

AU - Hofmann-Wellenhof, Rainer

AU - Landthaler, Michael

AU - Menzies, Scott W.

AU - Pehamberger, Hubert

AU - Piccolo, Domenico

AU - Rabinovitz, Harold S.

AU - Schiffner, Roman

AU - Staibano, Stefania

AU - Stolz, Wilhelm

AU - Bartenjev, Igor

AU - Blum, Andreas

AU - Braun, Ralph

AU - Cabo, Horacio

AU - Carli, Paolo

AU - De Giorgi, Vincenzo

AU - Fleming, Matthew G.

AU - Grichnik, James M.

AU - Grin, Caron M.

AU - Halpern, Allan C.

AU - Johr, Robert

AU - Katz, Brian

AU - Kenet, Robert O.

AU - Kittler, Harald

AU - Kreusch, Jürgen

AU - Malvehy, Josep

AU - Mazzocchetti, Giampiero

AU - Oliviero, Margaret

AU - Özdemir, Fezal

AU - Peris, Ketty

AU - Perotti, Roberto

AU - Perusquia, Ana

AU - Pizzichetta, Maria Antonietta

AU - Puig, Susana

AU - Rao, Babar

AU - Rubegni, Pietro

AU - Saida, Toshiaki

AU - Scalvenzi, Massimiliano

AU - Seidenari, Stefania

AU - Stanganelli, Ignazio

AU - Tanaka, Masaru

AU - Westerhoff, Karin

AU - Wolf, Ingrid H.

AU - Braun-Falco, Otto

AU - Kerl, Helmut

AU - Nishikawa, Takeji

AU - Wolff, Klaus

AU - Kopf, Alfred W.

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N2 - 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.

AB - 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.

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