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New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis
Several studies have shown that in recent years incidence of acute otitis media (AOM) has declined worldwide. However, related medical, social, and economic problems for patients, their families, and society remain very high. Better knowledge of potential risk factors for AOM development and more ef...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700495/ https://www.ncbi.nlm.nih.gov/pubmed/34943628 http://dx.doi.org/10.3390/diagnostics11122392 |
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author | Esposito, Susanna Bianchini, Sonia Argentiero, Alberto Gobbi, Riccardo Vicini, Claudio Principi, Nicola |
author_facet | Esposito, Susanna Bianchini, Sonia Argentiero, Alberto Gobbi, Riccardo Vicini, Claudio Principi, Nicola |
author_sort | Esposito, Susanna |
collection | PubMed |
description | Several studies have shown that in recent years incidence of acute otitis media (AOM) has declined worldwide. However, related medical, social, and economic problems for patients, their families, and society remain very high. Better knowledge of potential risk factors for AOM development and more effective preventive interventions, particularly in AOM-prone children, can further reduce disease incidence. However, a more accurate AOM diagnosis seems essential to achieve this goal. Diagnostic uncertainty is common, and to avoid risks related to a disease caused mainly by bacteria, several children without AOM are treated with antibiotics and followed as true AOM cases. The main objective of this manuscript is to discuss the most common difficulties that presently limit accurate AOM diagnosis and the new approaches and technologies that have been proposed to improve disease detection. We showed that misdiagnosis can be dangerous or lead to relevant therapeutic mistakes. The need to improve AOM diagnosis has allowed the identification of a long list of technologies to visualize and evaluate the tympanic membrane and to assess middle-ear effusion. Most of the new instruments, including light field otoscopy, optical coherence tomography, low-coherence interferometry, and Raman spectroscopy, are far from being introduced in clinical practice. Video-otoscopy can be effective, especially when it is used in association with telemedicine, parents’ cooperation, and artificial intelligence. Introduction of otologic telemedicine and use of artificial intelligence among pediatricians and ENT specialists must be strongly promoted in order to reduce mistakes in AOM diagnosis. |
format | Online Article Text |
id | pubmed-8700495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87004952021-12-24 New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis Esposito, Susanna Bianchini, Sonia Argentiero, Alberto Gobbi, Riccardo Vicini, Claudio Principi, Nicola Diagnostics (Basel) Review Several studies have shown that in recent years incidence of acute otitis media (AOM) has declined worldwide. However, related medical, social, and economic problems for patients, their families, and society remain very high. Better knowledge of potential risk factors for AOM development and more effective preventive interventions, particularly in AOM-prone children, can further reduce disease incidence. However, a more accurate AOM diagnosis seems essential to achieve this goal. Diagnostic uncertainty is common, and to avoid risks related to a disease caused mainly by bacteria, several children without AOM are treated with antibiotics and followed as true AOM cases. The main objective of this manuscript is to discuss the most common difficulties that presently limit accurate AOM diagnosis and the new approaches and technologies that have been proposed to improve disease detection. We showed that misdiagnosis can be dangerous or lead to relevant therapeutic mistakes. The need to improve AOM diagnosis has allowed the identification of a long list of technologies to visualize and evaluate the tympanic membrane and to assess middle-ear effusion. Most of the new instruments, including light field otoscopy, optical coherence tomography, low-coherence interferometry, and Raman spectroscopy, are far from being introduced in clinical practice. Video-otoscopy can be effective, especially when it is used in association with telemedicine, parents’ cooperation, and artificial intelligence. Introduction of otologic telemedicine and use of artificial intelligence among pediatricians and ENT specialists must be strongly promoted in order to reduce mistakes in AOM diagnosis. MDPI 2021-12-19 /pmc/articles/PMC8700495/ /pubmed/34943628 http://dx.doi.org/10.3390/diagnostics11122392 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 Esposito, Susanna Bianchini, Sonia Argentiero, Alberto Gobbi, Riccardo Vicini, Claudio Principi, Nicola New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title | New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title_full | New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title_fullStr | New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title_full_unstemmed | New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title_short | New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis |
title_sort | new approaches and technologies to improve accuracy of acute otitis media diagnosis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700495/ https://www.ncbi.nlm.nih.gov/pubmed/34943628 http://dx.doi.org/10.3390/diagnostics11122392 |
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