Literature DB >> 7887657

Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists.

M Binder1, M Schwarz, A Winkler, A Steiner, A Kaider, K Wolff, H Pehamberger.   

Abstract

BACKGROUND AND
DESIGN: Epiluminescence microscopy (ELM) is a noninvasive technique that, by employing the optical phenomenon of oil immersion, makes subsurface structures of the skin accessible for in vivo examination and thus provides additional criteria for the clinical diagnosis of pigmented skin lesions. At present, almost all studies about the value and clinical importance of ELM are based on data derived from ELM experts (ie, dermatologists specifically trained in this technique). In the present study, we attempt to determine whether the clinical diagnosis of pigmented skin lesions is significantly improved using ELM and whether ELM-trained individuals and dermatologists not trained in this technique profit equally from this technique. Randomly selected histologically proven pigmented skin lesion specimens, photographed with (ELM) and without oil immersion (surface microscopy) were presented by slide projection to six ELM experts and 13 ELM nonexperts (ie, dermatologists not formally trained in ELM) for diagnosis. To evaluate the diagnostic performance of ELM experts and nonexperts with and without the oil immersion technique (ie, ELM vs surface microscopy), the following parameters were obtained: intraobserver and interobserver agreement by kappa statistics and sensitivity and specificity of diagnostic performance.
RESULTS: Our results show that by using the ELM technique the ELM experts reach a substantially better intraobserver agreement than nonexperts (median kappa, 0.56 vs 0.36). The interobserver agreement was markedly increased in the ELM experts group (average gain, 7%) but decreased in the ELM nonexperts group (average loss, 6%). The sensitivity of diagnosis was significantly increased in the ELM experts group (average gain, 10%), but decreased in the nonexperts group (average loss, 10%). Finally, the specificity of diagnosis was excellent in the ELM experts group, both with and without oil immersion (0.91) and was somewhat improved by ELM in the nonexperts group (0.77 vs 0.85).
CONCLUSIONS: We conclude that the ELM technique increases sensitivity in formally trained dermatologists, but may decrease the diagnostic ability in dermatologists not formally trained in the ELM technique. Consequently, formal broad-based training in ELM should be offered to the dermatologic community.

Entities:  

Mesh:

Year:  1995        PMID: 7887657     DOI: 10.1001/archderm.131.3.286

Source DB:  PubMed          Journal:  Arch Dermatol        ISSN: 0003-987X


  51 in total

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Authors:  M Emre Celebi; Hassan A Kingravi; Bakhtiyar Uddin; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss
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3.  Unsupervised border detection in dermoscopy images.

Authors:  M Emre Celebi; Y Alp Aslandogan; William V Stoecker; Hitoshi Iyatomi; Hiroshi Oka; Xiaohe Chen
Journal:  Skin Res Technol       Date:  2007-11       Impact factor: 2.365

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5.  Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet.

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7.  An improved objective evaluation measure for border detection in dermoscopy images.

Authors:  M Emre Celebi; Gerald Schaefer; Hitoshi Iyatomi; William V Stoecker; Joseph M Malters; James M Grichnik
Journal:  Skin Res Technol       Date:  2009-11       Impact factor: 2.365

8.  A soft kinetic data structure for lesion border detection.

Authors:  Sinan Kockara; Mutlu Mete; Vincent Yip; Brendan Lee; Kemal Aydin
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

9.  The role of spectrophotometry in the diagnosis of melanoma.

Authors:  Paolo A Ascierto; Marco Palla; Fabrizio Ayala; Ileana De Michele; Corrado Caracò; Antonio Daponte; Ester Simeone; Stefano Mori; Maurizio Del Giudice; Rocco A Satriano; Antonio Vozza; Giuseppe Palmieri; Nicola Mozzillo
Journal:  BMC Dermatol       Date:  2010-08-13

10.  Approximate lesion localization in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker
Journal:  Skin Res Technol       Date:  2009-08       Impact factor: 2.365

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