Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet

Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. Argenziano, G., Soyer, H. P., Chimenti, S., Talamini, R., Corona, R., Sera, F., Binder, M., Cerroni, L., De Rosa, G., Ferrara, G., Hofmann-Wellenhof, R., Landthaler, M., Menzies, S. W., Pehamberger, H., Piccolo, D., Rabinovitz, H. S., Schiffner, R., Staibano, S., Stolz, W., Bartenjev, I., Blum, A., Braun, R., Cabo, H., Carli, P., De Giorgi, V., Fleming, M. G., Grichnik, J. M., Grin, C. M., Halpern, A. C., Johr, R., Katz, B., Kenet, R. O., Kittler, H., Kreusch, J., Malvehy, J., Mazzocchetti, G., Oliviero, M., Ozdemir, F., Peris, K., Perotti, R., Perusquia, A., Pizzichetta, M. A., Puig, S., Rao, B., Rubegni, P., Saida, T., Scalvenzi, M., Seidenari, S., Stanganelli, I., Tanaka, M., Westerhoff, K., Wolf, I. H., Braun-Falco, O., Kerl, H., Nishikawa, T., Wolff, K., & Kopf, A. W. Journal of the American Academy of Dermatology, 48(5):679–693, May, 2003.

Paper doi abstract bibtex

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. kappa 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 kappa 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.

@article{argenziano_dermoscopy_2003,
	title = {Dermoscopy of pigmented skin lesions: results of a consensus meeting via the {Internet}},
	volume = {48},
	copyright = {All rights reserved},
	issn = {0190-9622},
	shorttitle = {Dermoscopy of pigmented skin lesions},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/12734496},
	doi = {10.1067/mjd.2003.281},
	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. kappa 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 kappa 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.},
	language = {eng},
	number = {5},
	journal = {Journal of the American Academy of Dermatology},
	author = {Argenziano, Giuseppe and Soyer, H. Peter and Chimenti, Sergio and Talamini, Renato and Corona, Rosamaria and Sera, Francesco and Binder, Michael and Cerroni, Lorenzo and De Rosa, Gaetano and Ferrara, Gerardo and Hofmann-Wellenhof, Rainer and Landthaler, Michael and Menzies, Scott W. and Pehamberger, Hubert and Piccolo, Domenico and Rabinovitz, Harold S. and Schiffner, Roman and Staibano, Stefania and Stolz, Wilhelm and Bartenjev, Igor and Blum, Andreas and Braun, Ralph and Cabo, Horacio and Carli, Paolo and De Giorgi, Vincenzo and Fleming, Matthew G. and Grichnik, James M. and Grin, Caron M. and Halpern, Allan C. and Johr, Robert and Katz, Brian and Kenet, Robert O. and Kittler, Harald and Kreusch, Jürgen and Malvehy, Josep and Mazzocchetti, Giampiero and Oliviero, Margaret and Ozdemir, Fezal and Peris, Ketty and Perotti, Roberto and Perusquia, Ana and Pizzichetta, Maria Antonietta and Puig, Susana and Rao, Babar and Rubegni, Pietro and Saida, Toshiaki and Scalvenzi, Massimiliano and Seidenari, Stefania and Stanganelli, Ignazio and Tanaka, Masaru and Westerhoff, Karin and Wolf, Ingrid H. and Braun-Falco, Otto and Kerl, Helmut and Nishikawa, Takeji and Wolff, Klaus and Kopf, Alfred W.},
	month = may,
	year = {2003},
	pages = {679--693},
}

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