Literature DB >> 24721784

Computer-automated ABCD versus dermatologists with different degrees of experience in dermoscopy.

Domenico Piccolo1, Giuliana Crisman2, Spyridon Schoinas1, Davide Altamura1, Ketty Peris1.   

Abstract

BACKGROUND: Dermoscopy is a very useful and non-invasive technique for in vivo observation and preoperative diagnosis of pigmented skin lesions (PSLs) inasmuch as it enables analysis of surface and subsurface structures that are not discernible to the naked eye.
METHODS: The authors used the ABCD rule of dermoscopy to test the accuracy of melanoma diagnosis with respect to a panel of 165 PSLs and the intra- and inter-observer diagnostic agreement obtained between three dermatologists with different degrees of experience, one General Practitioner and a DDA for computer-assisted diagnosis (Nevuscreen(®), Arkè s.a.s., Avezzano, Italy).
RESULTS: 165 Pigmented Skin Lesions from 165 patients were selected. Histopathological examination revealed 132 benign melanocytic skin lesions and 33 melanomas. The kappa statistic, sensitivity, specificity and predictive positive and negative values were calculated to measure agreement between all the human observers and in comparison with the automated DDA.
CONCLUSION: Our results revealed poor reproducibility of the semi-quantitative algorithm devised by Stolz et al. independently of observers' experience in dermoscopy. Nevuscreen(®) (Arkè s.a.s., Avezzano, Italy) proved to be 'user friendly' to all observers, thus enabling a more critical evaluation of each lesion and representing a helpful tool for clinicians without significant experience in dermoscopy in improving and achieving more accurate diagnosis of PSLs.

Entities:  

Keywords:  dermoscopy; melanoma; nevi; pigmented lesions

Mesh:

Year:  2014        PMID: 24721784     DOI: 10.1684/ejd.2014.2320

Source DB:  PubMed          Journal:  Eur J Dermatol        ISSN: 1167-1122            Impact factor:   3.328


  8 in total

1.  Classification of reticular pattern and streaks in dermoscopic images based on texture analysis.

Authors:  Marlene Machado; Jorge Pereira; Rui Fonseca-Pinto
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-29

2.  [Image-based computer diagnosis of melanoma].

Authors:  V Dick; P Tschandl; C Sinz; A Blum; H Kittler
Journal:  Hautarzt       Date:  2018-07       Impact factor: 0.751

3.  Artificial Intelligence Based Skin Classification Using GMM.

Authors:  M Monisha; A Suresh; M R Rashmi
Journal:  J Med Syst       Date:  2018-11-20       Impact factor: 4.460

4.  Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.

Authors:  Michael Phillips; Jack Greenhalgh; Helen Marsden; Ioulios Palamaras
Journal:  Dermatol Pract Concept       Date:  2019-12-31

5.  Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.

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

6.  Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults.

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

7.  Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

Authors:  Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

Review 8.  Diagnosing malignant melanoma in ambulatory care: a systematic review of clinical prediction rules.

Authors:  Emma Harrington; Barbara Clyne; Nieneke Wesseling; Harkiran Sandhu; Laura Armstrong; Holly Bennett; Tom Fahey
Journal:  BMJ Open       Date:  2017-03-06       Impact factor: 2.692

  8 in total

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