Literature DB >> 15840098

Dysplastic naevus vs. in situ melanoma: digital dermoscopy analysis.

M Burroni1, P Sbano, G Cevenini, M Risulo, G Dell'eva, P Barbini, C Miracco, M Fimiani, L Andreassi, P Rubegni.   

Abstract

BACKGROUND: To date, much confusion exists about the biological significance of dysplastic naevi and about the relationship between melanocytic dysplasia and clinical atypia.
OBJECTIVES: To use a digital dermoscopy analyser with a series of 'borderline' pigmented skin lesions (i.e. dysplastic naevi and in situ melanomas) to find correlation between the studied variables and to determine their discriminating power with respect to histological diagnosis.
METHODS: The pigmented skin lesions (n = 174) were histologically examined by three experienced dermatopathologists and identified as in situ melanomas (n = 38) and dysplastic naevi (n = 136). The system evaluated 48 parameters as possible discriminant variables, grouped into four categories: geometry, colours, textures and islands of colour. Once the lesions were analysed (stepwise discriminant analysis), sensitivity, specificity and accuracy were calculated.
RESULTS: At the end of the stepwise procedure the percentage of cases classified correctly was 71.8%. Of 136 dysplastic naevi only 98 were classified correctly, while 27 of 38 in situ melanomas were recognized correctly.
CONCLUSIONS: We conclude that there are so far no digital dermoscopic criteria that can clearly distinguish dysplastic naevi from in situ melanomas.

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Mesh:

Year:  2005        PMID: 15840098     DOI: 10.1111/j.1365-2133.2005.06481.x

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  7 in total

1.  Definition of an automated Content-Based Image Retrieval (CBIR) system for the comparison of dermoscopic images of pigmented skin lesions.

Authors:  Alfonso Baldi; Raffaele Murace; Emanuele Dragonetti; Mario Manganaro; Oscar Guerra; Stefano Bizzi; Luca Galli
Journal:  Biomed Eng Online       Date:  2009-08-16       Impact factor: 2.819

2.  "Mistletoe sign": probably a new dermoscopic descriptor for melanoma in situ and melanocytic junctional nevus in the inflammatory stage.

Authors:  Grażyna Kamińska-Winciorek; Paweł Właszczuk; Jerzy Wydmański
Journal:  Postepy Dermatol Alergol       Date:  2013-10-30       Impact factor: 1.837

Review 3.  Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis.

Authors:  Ali Madooei; Mark S Drew
Journal:  Int J Biomed Imaging       Date:  2016-12-19

4.  Texture based skin lesion abruptness quantification to detect malignancy.

Authors:  Recep Erol; Mustafa Bayraktar; Sinan Kockara; Sertan Kaya; Tansel Halic
Journal:  BMC Bioinformatics       Date:  2017-12-28       Impact factor: 3.169

5.  Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis.

Authors:  Laura Rey-Barroso; Francisco J Burgos-Fernández; Xana Delpueyo; Miguel Ares; Santiago Royo; Josep Malvehy; Susana Puig; Meritxell Vilaseca
Journal:  Sensors (Basel)       Date:  2018-05-05       Impact factor: 3.576

Review 6.  Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms.

Authors:  Ammara Masood; Adel Ali Al-Jumaily
Journal:  Int J Biomed Imaging       Date:  2013-12-23

7.  Automated dermoscopy image analysis of pigmented skin lesions.

Authors:  Alfonso Baldi; Marco Quartulli; Raffaele Murace; Emanuele Dragonetti; Mario Manganaro; Oscar Guerra; Stefano Bizzi
Journal:  Cancers (Basel)       Date:  2010-03-26       Impact factor: 6.639

  7 in total

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