Literature DB >> 26589251

CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist.

Nicola di Meo1, Giuseppe Stinco2, Serena Bonin1, Alessandro Gatti3, Sara Trevisini1, Giovanni Damiani1, Silvia Vichi1, Giusto Trevisan2,3.   

Abstract

Dermoscopy, in expert hands, increases accuracy, sensitivity and specificity in diagnosis of pigmented skin lesions of a single operator, compared with clinical examination. Simplified algorithmic methods have been developed to help less expert dermoscopists in diagnosis of melanocytic lesions. This study included 125 melanocytic skin lesions divided into melanocytic nevi, dysplastic nevi and thin melanomas (<1 mm). We compared the 3-point checklist and CASH algorithm to analyze different pigmented skin lesions. Based on preliminary results, we proposed a new modified algorithm, called the 4-point checklist, whose accuracy is similar to the CASH algorithm and whose simplicity is similar to the 3-point checklist.
© 2015 Japanese Dermatological Association.

Entities:  

Keywords:  3-point checklist; CASH; dermoscopy; melanocytic nevus; melanoma

Mesh:

Year:  2015        PMID: 26589251     DOI: 10.1111/1346-8138.13201

Source DB:  PubMed          Journal:  J Dermatol        ISSN: 0385-2407            Impact factor:   4.005


  4 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.  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

4.  Local edge-enhanced active contour for accurate skin lesion border detection.

Authors:  Mustafa Bayraktar; Sinan Kockara; Tansel Halic; Mutlu Mete; Henry K Wong; Kamran Iqbal
Journal:  BMC Bioinformatics       Date:  2019-03-14       Impact factor: 3.169

  4 in total

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