Literature DB >> 20055853

Regular clinical dermatoscope use with training improves melanoma diagnosis by dermatologists.

E Tan1, N J Levell.   

Abstract

Dermatoscopy is not accepted by all dermatologists as a useful diagnostic tool. We set out to test if training followed by regular clinical use of dermatoscopes improved diagnostic accuracy in melanoma diagnosis. Six dermatologists who had not previously used dermatoscopes were studied before and after a 10-month period of dermatoscope use with training and use of the Modified Pattern Analysis Diagnostic Algorithm. Diagnostic accuracy was assessed using test cards containing clinical and dermatoscopic photographs. The number of melanomas undiagnosed after training fell from 18 to 5 and the number potentially left unexcised fell from 18 to 3. The numbers of benign lesions potentially excised remained unchanged. The study shows that the use of dermatoscopes with training greatly increased the accuracy of diagnosis of melanoma by dermatologists. This practical study supports the use of dermatoscopy in pigmented-lesion diagnosis and demonstrates how dermatoscopy training could be incorporated into UK specialist training programmes.

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Year:  2009        PMID: 20055853     DOI: 10.1111/j.1365-2230.2009.03629.x

Source DB:  PubMed          Journal:  Clin Exp Dermatol        ISSN: 0307-6938            Impact factor:   3.470


  3 in total

1.  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

2.  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

3.  Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study.

Authors:  Christoph Rinner; Harald Kittler; Cliff Rosendahl; Philipp Tschandl
Journal:  J Med Internet Res       Date:  2020-01-24       Impact factor: 5.428

  3 in total

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