Literature DB >> 32348823

Technological advances for the detection of melanoma: Advances in diagnostic techniques.

Lauren Fried1, Andrea Tan1, Shirin Bajaj1, Tracey N Liebman1, David Polsky1, Jennifer A Stein2.   

Abstract

Managing the balance between accurately identifying early stage melanomas while avoiding obtaining biopsy specimens of benign lesions (ie, overbiopsy) is the major challenge of melanoma detection. Decision making can be especially difficult in patients with extensive atypical nevi. Recognizing that the primary screening modality for melanoma is subjective examination, studies have shown a tendency toward overbiopsy. Even low-risk routine surgical procedures are associated with morbidity, mounting health care costs, and patient anxiety. Recent advancements in noninvasive diagnostic modalities have helped improve diagnostic accuracy, especially when managing melanocytic lesions of uncertain diagnosis. Breakthroughs in artificial intelligence have also shown exciting potential in changing the landscape of melanoma detection. In the first article in this continuing medical education series, we review novel diagnostic technologies, such as automated 2- and 3-dimensional total body imaging with sequential digital dermoscopic imaging, reflectance confocal microscopy, and electrical impedance spectroscopy, and we explore the logistics and implications of potentially integrating artificial intelligence into existing melanoma management paradigms.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  artificial intelligence; confocal microscopy; dermoscopy; electrical impedance spectroscopy; machine learning; melanoma; sequential digital dermoscopic imaging; total body photography

Year:  2020        PMID: 32348823     DOI: 10.1016/j.jaad.2020.03.121

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


  3 in total

1.  An Epidemiologic Analysis of Melanoma Overdiagnosis in the United States, 1975-2017.

Authors:  Nicholas R Kurtansky; Stephen W Dusza; Allan C Halpern; Rebecca I Hartman; Alan C Geller; Ashfaq A Marghoob; Veronica M Rotemberg; Michael A Marchetti
Journal:  J Invest Dermatol       Date:  2021-12-11       Impact factor: 7.590

2.  Real-World Application of a Noninvasive Two-Gene Expression Test for Melanoma Diagnosis.

Authors:  Michael A Marchetti; Japbani K Nanda; Silvia E Mancebo; Stephen W Dusza
Journal:  J Invest Dermatol       Date:  2021-03-17       Impact factor: 7.590

3.  Clinically Inspired Skin Lesion Classification through the Detection of Dermoscopic Criteria for Basal Cell Carcinoma.

Authors:  Carmen Serrano; Manuel Lazo; Amalia Serrano; Tomás Toledo-Pastrana; Rubén Barros-Tornay; Begoña Acha
Journal:  J Imaging       Date:  2022-07-12
  3 in total

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