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Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence
Onychomycosis is a common fungal nail infection. Accurate diagnosis is critical as onychomycosis is transmissible between humans and impacts patients' quality of life. Combining clinical examination with mycological testing ensures accurate diagnosis. Conventional diagnostic techniques, includi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081953/ https://www.ncbi.nlm.nih.gov/pubmed/33937282 http://dx.doi.org/10.3389/fmed.2021.637216 |
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author | Lim, Sophie Soyeon Ohn, Jungyoon Mun, Je-Ho |
author_facet | Lim, Sophie Soyeon Ohn, Jungyoon Mun, Je-Ho |
author_sort | Lim, Sophie Soyeon |
collection | PubMed |
description | Onychomycosis is a common fungal nail infection. Accurate diagnosis is critical as onychomycosis is transmissible between humans and impacts patients' quality of life. Combining clinical examination with mycological testing ensures accurate diagnosis. Conventional diagnostic techniques, including potassium hydroxide testing, fungal culture and histopathology of nail clippings, detect fungal species within nails. New diagnostic tools have been developed recently which either improve detection of onychomycosis clinically, including dermoscopy, reflectance confocal microscopy and artificial intelligence, or mycologically, such as molecular assays. Dermoscopy is cost-effective and non-invasive, allowing clinicians to discern microscopic features of onychomycosis and fungal melanonychia. Reflectance confocal microscopy enables clinicians to observe bright filamentous septate hyphae at near histologic resolution by the bedside. Artificial intelligence may prompt patients to seek further assessment for nails that are suspicious for onychomycosis. This review evaluates the current landscape of diagnostic techniques for onychomycosis. |
format | Online Article Text |
id | pubmed-8081953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80819532021-04-30 Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence Lim, Sophie Soyeon Ohn, Jungyoon Mun, Je-Ho Front Med (Lausanne) Medicine Onychomycosis is a common fungal nail infection. Accurate diagnosis is critical as onychomycosis is transmissible between humans and impacts patients' quality of life. Combining clinical examination with mycological testing ensures accurate diagnosis. Conventional diagnostic techniques, including potassium hydroxide testing, fungal culture and histopathology of nail clippings, detect fungal species within nails. New diagnostic tools have been developed recently which either improve detection of onychomycosis clinically, including dermoscopy, reflectance confocal microscopy and artificial intelligence, or mycologically, such as molecular assays. Dermoscopy is cost-effective and non-invasive, allowing clinicians to discern microscopic features of onychomycosis and fungal melanonychia. Reflectance confocal microscopy enables clinicians to observe bright filamentous septate hyphae at near histologic resolution by the bedside. Artificial intelligence may prompt patients to seek further assessment for nails that are suspicious for onychomycosis. This review evaluates the current landscape of diagnostic techniques for onychomycosis. Frontiers Media S.A. 2021-04-15 /pmc/articles/PMC8081953/ /pubmed/33937282 http://dx.doi.org/10.3389/fmed.2021.637216 Text en Copyright © 2021 Lim, Ohn and Mun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Lim, Sophie Soyeon Ohn, Jungyoon Mun, Je-Ho Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title | Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title_full | Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title_fullStr | Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title_full_unstemmed | Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title_short | Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence |
title_sort | diagnosis of onychomycosis: from conventional techniques and dermoscopy to artificial intelligence |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081953/ https://www.ncbi.nlm.nih.gov/pubmed/33937282 http://dx.doi.org/10.3389/fmed.2021.637216 |
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