BACKGROUND: Semitranslucency, defined as a smooth, jelly-like area with varied, near-skin-tone color, can indicate a diagnosis of basal cell carcinoma (BCC) with high specificity. This study sought to analyze potential areas of semitranslucency with histogram-derived texture and color measures to discriminate BCC from non-semitranslucent areas in non-BCC skin lesions. METHODS: For 210 dermoscopy images, the areas of semitranslucency in 42 BCCs and comparable areas of smoothness and color in 168 non-BCCs were selected manually. Six color measures and six texture measures were applied to the semitranslucent areas of the BCC and the comparable areas in the non-BCC images. RESULTS: Receiver operating characteristic (ROC) curve analysis showed that the texture measures alone provided greater separation of BCC from non-BCC than the color measures alone. Statistical analysis showed that the four most important measures of semitranslucency are three histogram measures: contrast, smoothness, and entropy, and one color measure: blue chromaticity. Smoothness is the single most important measure. The combined 12 measures achieved a diagnostic accuracy of 95.05% based on area under the ROC curve. CONCLUSION: Texture and color analysis measures, especially smoothness, may afford automatic detection of BCC images with semitranslucency.
BACKGROUND: Semitranslucency, defined as a smooth, jelly-like area with varied, near-skin-tone color, can indicate a diagnosis of basal cell carcinoma (BCC) with high specificity. This study sought to analyze potential areas of semitranslucency with histogram-derived texture and color measures to discriminate BCC from non-semitranslucent areas in non-BCC skin lesions. METHODS: For 210 dermoscopy images, the areas of semitranslucency in 42 BCCs and comparable areas of smoothness and color in 168 non-BCCs were selected manually. Six color measures and six texture measures were applied to the semitranslucent areas of the BCC and the comparable areas in the non-BCC images. RESULTS: Receiver operating characteristic (ROC) curve analysis showed that the texture measures alone provided greater separation of BCC from non-BCC than the color measures alone. Statistical analysis showed that the four most important measures of semitranslucency are three histogram measures: contrast, smoothness, and entropy, and one color measure: blue chromaticity. Smoothness is the single most important measure. The combined 12 measures achieved a diagnostic accuracy of 95.05% based on area under the ROC curve. CONCLUSION: Texture and color analysis measures, especially smoothness, may afford automatic detection of BCC images with semitranslucency.
Authors: 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 Bartenjev; Andreas 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 Ozdemir; 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 Journal: J Am Acad Dermatol Date: 2003-05 Impact factor: 11.527
Authors: M G Fleming; C Steger; J Zhang; J Gao; A B Cognetta; I Pollak; C R Dyer Journal: Comput Med Imaging Graph Date: 1998 Sep-Oct Impact factor: 4.790
Authors: R Joe Stanley; Randy Hays Moss; William Van Stoecker; Chetna Aggarwal Journal: Comput Med Imaging Graph Date: 2003 Sep-Oct Impact factor: 4.790
Authors: Serkan Kefel; Pelin Guvenc; Robert LeAnder; Sherea M Stricklin; William V Stoecker Journal: Skin Res Technol Date: 2012-02-22 Impact factor: 2.365
Authors: Beibei Cheng; R Joe Stanley; William V Stoecker; Sherea M Stricklin; Kristen A Hinton; Thanh K Nguyen; Ryan K Rader; Harold S Rabinovitz; Margaret Oliviero; Randy H Moss Journal: Skin Res Technol Date: 2012-06-22 Impact factor: 2.365
Authors: William V Stoecker; Mark Wronkiewiecz; Raeed Chowdhury; R Joe Stanley; Jin Xu; Austin Bangert; Bijaya Shrestha; David A Calcara; Harold S Rabinovitz; Margaret Oliviero; Fatimah Ahmed; Lindall A Perry; Rhett Drugge Journal: Comput Med Imaging Graph Date: 2010-10-30 Impact factor: 4.790
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04