Evaluation of a Program for the Automatic Dermoscopic Diagnosis of Melanoma in a General Dermatology Setting

Fueyo-Casado, Alejandro; Vázquez‐López, Francisco; Sánchez-Martín, Jesús; García-García, B.; Pérez‐Oliva, Narciso

doi:10.1111/j.1524-4725.2008.34421.x

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…The good results of Hoffmann et al [ 17 ] were reproduced in a small study with only 6 melanomas [ 18 ] but declined in another small study [ 19 ]. In two other small studies with independent test sets [ 20 , 21 ], the performance reported by Blum et al [ 22 ] declined. There are several possible explanations for the drop in performance.…”

Section: Introductionmentioning

confidence: 99%

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images

Møllersen

Kirchesch²,

Zortea

et al. 2015

BioMed Research International

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Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert knowledge, hampering their utility for nonexperts. Furthermore, there are no systems to detect other common skin cancer types, that is, nonmelanoma skin cancer (NMSC). As early diagnosis of skin cancer is essential, there is a need for a CDSS that is applicable to all types of skin lesions and is suitable for nonexperts. Nevus Doctor (ND) is a CDSS being developed by the authors. We here investigate ND's ability to detect both melanoma and NMSC and the opportunities for improvement. An independent test set of dermoscopic images of 870 skin lesions, including 44 melanomas and 101 NMSCs, were analysed by ND. Its sensitivity to melanoma and NMSC was compared to that of Mole Expert (ME), a commercially available CDSS, using the same set of lesions. ND and ME had similar sensitivity to melanoma. For ND at 95% melanoma sensitivity, the NMSC sensitivity was 100%, and the specificity was 12%. The melanomas misclassified by ND at 95% sensitivity were correctly classified by ME, and vice versa. ND is able to detect NMSC without sacrificing melanoma sensitivity.

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Section: Introductionmentioning

confidence: 99%

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images

Møllersen

Kirchesch²,

Zortea

et al. 2015

BioMed Research International

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

Dinnes

Deeks

Chuchu

et al. 2018

Cochrane Database of Systematic Reviews

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Background Early accurate detection of all skin cancer types is important to guide appropriate management, to reduce morbidity and to improve survival. Basal cell carcinoma (BCC) is almost always a localised skin cancer with potential to infiltrate and damage surrounding tissue, whereas a minority of cutaneous squamous cell carcinomas (cSCCs) and invasive melanomas are higher-risk skin cancers with the potential to metastasise and cause death. Dermoscopy has become an important tool to assist specialist clinicians in the diagnosis of melanoma, and is increasingly used in primary-care settings. Dermoscopy is a precision-built handheld illuminated magnifier that allows more detailed examination of the skin down to the level of the superficial dermis. Establishing the value of dermoscopy over and above visual inspection for the diagnosis of BCC or cSCC in primary-and secondary-care settings is critical to understanding its potential contribution to appropriate skin cancer triage, including referral of higher-risk cancers to secondary care, the identification of low-risk skin cancers that might be treated in primary care and to provide reassurance to those with benign skin lesions who can be safely discharged. Objectives To determine the diagnostic accuracy of visual inspection and dermoscopy, alone or in combination, for the detection of (a) BCC and (b) cSCC, in adults. We separated studies according to whether the diagnosis was recorded face-to-face (in person) or based on remote (imagebased) assessment.

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

Dinnes

Deeks

Chuchu

et al. 2018

Cochrane Database of Systematic Reviews

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Evaluation of a Program for the Automatic Dermoscopic Diagnosis of Melanoma in a General Dermatology Setting

Cited by 7 publications

References 11 publications

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images

Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images

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

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

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