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Line-Field Confocal Optical Coherence Tomography: A New Skin Imaging Technique Reproducing a 'Virtual Biopsy' with Evolving Clinical Applications in Dermatology

Authors :
Simone Cappilli
Andrea Paradisi
Alessandro Di Stefani
Gerardo Palmisano
Luca Pellegrino
Martina D’Onghia
Costantino Ricci
Linda Tognetti
Anna Elisa Verzì
Pietro Rubegni
Veronique Del Marmol
Francesco Lacarrubba
Elisa Cinotti
Mariano Suppa
Ketty Peris
Source :
Diagnostics, Vol 14, Iss 16, p 1821 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background: Line-field confocal optical coherence tomography is a novel technology able to reproduce a “virtual biopsy” of the skin. The aim of this review is to explore the application of line-field confocal optical coherence tomography (LC-OCT) in various skin diseases, covering skin cancers, inflammatory and infectious skin diseases, genetic diseases, cosmetic procedures, and less common disorders. Methods: Study selection was conducted based on LC-OCT and using pertinent MeSh terms, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines from inception to March 2024; to evaluate the quality and risk of bias of studies, Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used. Results: the search retrieved 154 papers according to the selection criteria; after removing publications by one or more of the exclusion criteria, a total of 96 studies were found to be suitable for the analysis. Conclusions: Increasing evidence supports the use of LC-OCT as an adjunctive diagnostic tool for the in vivo diagnosis of a variety of skin tumors. As this device can be considered a “bridge” between dermoscopy and histopathology, widening applications in numerous fields of clinical dermatology, including inflammatory skin disease treatment, presurgical mapping, cosmetic procedures, and monitoring of non-invasive therapies, have been explored.

Details

Language :
English
ISSN :
20754418
Volume :
14
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.141beaed44464a30b08224a1975f4728
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics14161821