Literature DB >> 29678380

Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies.

Francis Del Rosario1, Jessica M Farahi1, Jesse Drendel2, Talayesa Buntinx-Krieg3, Joseph Caravaglio3, Renee Domozych3, Stephanie Chapman4, Taylor Braunberger5, Robert P Dellavalle1, David A Norris1, Ramin Fathi1, Theodore Alkousakis6.   

Abstract

BACKGROUND: Digital dermoscopic image analysis of pigmented skin lesions (PSLs) has become increasingly popular, despite its unclear clinical utility. Unbiased, high-powered studies investigating the efficacy of commercially available systems are limited.
OBJECTIVE: To investigate the diagnostic performance of the FotoFinder Mole-Analyzer in assessing PSLs for cutaneous melanoma.
METHODS: In this 15-year retrospective study, the histopathologies of 1076 biopsied PSLs among a total of 2500 imaged PSLs were collected. The biopsied PSLs were categorized as benign or malignant (cutaneous melanoma) based on histopathology. Analyzer scores (0-1.00) for these PSLs were obtained and grouped according to histopathology.
RESULTS: At an optimized cutoff score of 0.50, a sensitivity of 56% and a specificity of 74% were achieved. The area under the receiver operating characteristics curve was 0.698, indicating poor accuracy as a diagnostic tool. LIMITATIONS: This study had a retrospective design and involved only a single institution.
CONCLUSION: Our study reveals a low sensitivity of the scoring function of this digital dermoscopic image analyzer for detecting cutaneous melanomas. Physicians must apply keen clinical judgment when using such devices in the screening of suspicious PSLs.
Copyright © 2017 American Academy of Dermatology, Inc. All rights reserved.

Entities:  

Keywords:  computer-aided diagnosis; diagnostic accuracy; digital dermoscopy; image analysis; melanoma; pigmented skin lesions; screening; skin cancer; test sensitivity

Mesh:

Year:  2018        PMID: 29678380     DOI: 10.1016/j.jaad.2017.01.049

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  2 in total

Review 1.  Advances in Prevention and Surveillance of Cutaneous Malignancies.

Authors:  Megan H Trager; Dawn Queen; Faramarz H Samie; Richard D Carvajal; David R Bickers; Larisa J Geskin
Journal:  Am J Med       Date:  2019-11-09       Impact factor: 4.965

2.  Hyperspectral imaging in automated digital dermoscopy screening for melanoma.

Authors:  Anna-Marie Hosking; Brandon J Coakley; Dorothy Chang; Faezeh Talebi-Liasi; Samantha Lish; Sung Won Lee; Amanda M Zong; Ian Moore; James Browning; Steven L Jacques; James G Krueger; Kristen M Kelly; Kenneth G Linden; Daniel S Gareau
Journal:  Lasers Surg Med       Date:  2019-01-17       Impact factor: 4.025

  2 in total

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