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Current Insights into Oral Cancer Diagnostics

Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several...

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Autores principales: Su, Yee-Fun, Chen, Yi-Ju, Tsai, Fa-Tzu, Li, Wan-Chun, Hsu, Ming-Lun, Wang, Ding-Han, Yang, Cheng-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303371/
https://www.ncbi.nlm.nih.gov/pubmed/34359370
http://dx.doi.org/10.3390/diagnostics11071287
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author Su, Yee-Fun
Chen, Yi-Ju
Tsai, Fa-Tzu
Li, Wan-Chun
Hsu, Ming-Lun
Wang, Ding-Han
Yang, Cheng-Chieh
author_facet Su, Yee-Fun
Chen, Yi-Ju
Tsai, Fa-Tzu
Li, Wan-Chun
Hsu, Ming-Lun
Wang, Ding-Han
Yang, Cheng-Chieh
author_sort Su, Yee-Fun
collection PubMed
description Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions.
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spelling pubmed-83033712021-07-25 Current Insights into Oral Cancer Diagnostics Su, Yee-Fun Chen, Yi-Ju Tsai, Fa-Tzu Li, Wan-Chun Hsu, Ming-Lun Wang, Ding-Han Yang, Cheng-Chieh Diagnostics (Basel) Review Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions. MDPI 2021-07-16 /pmc/articles/PMC8303371/ /pubmed/34359370 http://dx.doi.org/10.3390/diagnostics11071287 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Su, Yee-Fun
Chen, Yi-Ju
Tsai, Fa-Tzu
Li, Wan-Chun
Hsu, Ming-Lun
Wang, Ding-Han
Yang, Cheng-Chieh
Current Insights into Oral Cancer Diagnostics
title Current Insights into Oral Cancer Diagnostics
title_full Current Insights into Oral Cancer Diagnostics
title_fullStr Current Insights into Oral Cancer Diagnostics
title_full_unstemmed Current Insights into Oral Cancer Diagnostics
title_short Current Insights into Oral Cancer Diagnostics
title_sort current insights into oral cancer diagnostics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303371/
https://www.ncbi.nlm.nih.gov/pubmed/34359370
http://dx.doi.org/10.3390/diagnostics11071287
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