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Validity of a Mobile Application to Diagnose Temporomandibular Disorders
This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic ca...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671883/ https://www.ncbi.nlm.nih.gov/pubmed/38002805 http://dx.doi.org/10.3390/jcm12227193 |
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author | Hong, Yoo-Ree Hwangbo, Na-Kyung Kim, Alec-Hyung Kim, Seong-Taek |
author_facet | Hong, Yoo-Ree Hwangbo, Na-Kyung Kim, Alec-Hyung Kim, Seong-Taek |
author_sort | Hong, Yoo-Ree |
collection | PubMed |
description | This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic categories: the initial specialist diagnoses, the final diagnoses after imaging, and the mobile app’s diagnoses. The concordance rates, sensitivities, specificities, and positive predictive values of the diagnoses were examined, with further imaging serving as the gold standard. The mobile app demonstrated a high concordance rate compared to both the final (0.93) and the initial specialists’ diagnoses (0.86). The sensitivities, specificities, and positive predictive values also indicated strong reliability, affirming the app’s diagnostic validity. Although the concordance rate was slightly lower when comparing the app’s diagnoses to the imaging results (CBCT and MRI), the specialists’ diagnoses yielded similar results. The study suggests that user-friendly diagnostic mobile applications, based on the diagnostic criteria for TMD, could enhance the clinical management of TMD. Given the reliability of mobile applications for diagnostic purposes, their wider implementation could facilitate the provision of appropriate and timely treatments for patients with TMD. |
format | Online Article Text |
id | pubmed-10671883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106718832023-11-20 Validity of a Mobile Application to Diagnose Temporomandibular Disorders Hong, Yoo-Ree Hwangbo, Na-Kyung Kim, Alec-Hyung Kim, Seong-Taek J Clin Med Article This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic categories: the initial specialist diagnoses, the final diagnoses after imaging, and the mobile app’s diagnoses. The concordance rates, sensitivities, specificities, and positive predictive values of the diagnoses were examined, with further imaging serving as the gold standard. The mobile app demonstrated a high concordance rate compared to both the final (0.93) and the initial specialists’ diagnoses (0.86). The sensitivities, specificities, and positive predictive values also indicated strong reliability, affirming the app’s diagnostic validity. Although the concordance rate was slightly lower when comparing the app’s diagnoses to the imaging results (CBCT and MRI), the specialists’ diagnoses yielded similar results. The study suggests that user-friendly diagnostic mobile applications, based on the diagnostic criteria for TMD, could enhance the clinical management of TMD. Given the reliability of mobile applications for diagnostic purposes, their wider implementation could facilitate the provision of appropriate and timely treatments for patients with TMD. MDPI 2023-11-20 /pmc/articles/PMC10671883/ /pubmed/38002805 http://dx.doi.org/10.3390/jcm12227193 Text en © 2023 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 | Article Hong, Yoo-Ree Hwangbo, Na-Kyung Kim, Alec-Hyung Kim, Seong-Taek Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title | Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title_full | Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title_fullStr | Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title_full_unstemmed | Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title_short | Validity of a Mobile Application to Diagnose Temporomandibular Disorders |
title_sort | validity of a mobile application to diagnose temporomandibular disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10671883/ https://www.ncbi.nlm.nih.gov/pubmed/38002805 http://dx.doi.org/10.3390/jcm12227193 |
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