Cargando…

Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis

This systematic review and meta-analysis aimed at assessing the diagnostic accuracy of emerging technologies, such as laser fluorescence (LF), transillumination, light-emitting diode devices, optical coherence tomography (OCT), alternating current impedance spectroscopy, fluorescence cameras (FC), p...

Descripción completa

Detalles Bibliográficos
Autores principales: Serban, Christa, Lungeanu, Diana, Bota, Sergiu-David, Cotca, Claudia C., Negrutiu, Meda Lavinia, Duma, Virgil-Florin, Sinescu, Cosmin, Craciunescu, Emanuela Lidia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837049/
https://www.ncbi.nlm.nih.gov/pubmed/35160127
http://dx.doi.org/10.3390/jcm11030674
_version_ 1784649828884545536
author Serban, Christa
Lungeanu, Diana
Bota, Sergiu-David
Cotca, Claudia C.
Negrutiu, Meda Lavinia
Duma, Virgil-Florin
Sinescu, Cosmin
Craciunescu, Emanuela Lidia
author_facet Serban, Christa
Lungeanu, Diana
Bota, Sergiu-David
Cotca, Claudia C.
Negrutiu, Meda Lavinia
Duma, Virgil-Florin
Sinescu, Cosmin
Craciunescu, Emanuela Lidia
author_sort Serban, Christa
collection PubMed
description This systematic review and meta-analysis aimed at assessing the diagnostic accuracy of emerging technologies, such as laser fluorescence (LF), transillumination, light-emitting diode devices, optical coherence tomography (OCT), alternating current impedance spectroscopy, fluorescence cameras (FC), photo-thermal radiometry, and modulated luminescence technology. In vivo and in vitro results of such non-ionizing, non-invasive, and non-destructive methods’ effectiveness in non-cavitated dentin caries detection are sometimes ambiguous. Following the PRISMA guidelines, 34 relevant research articles published between 2011–2021 were selected. The risk of bias was assessed with a tool tailored for caries diagnostic studies, and subsequent quantitative uni- and bi-variate meta-analysis was carried out in separate sub-groups according to the investigated surface (occlusal/proximal) and study setting (in vivo/in vitro). In spite of the high heterogeneity across the review groups, in vitro studies on LF and FC proved a good diagnostic ability for the occlusal surface, with area under the curve (AUC) of 0.803 (11 studies) and 0.845 (five studies), respectively. OCT studies reported an outstanding performance with an overall AUC = 0.945 (four studies). Promising technologies, such as OCT or FC VistaProof, still need well-designed and well-powered studies to accrue experimental and clinical data for conclusive medical evidence, especially for the proximal surface. Registration: INPLASY202210097.
format Online
Article
Text
id pubmed-8837049
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88370492022-02-12 Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis Serban, Christa Lungeanu, Diana Bota, Sergiu-David Cotca, Claudia C. Negrutiu, Meda Lavinia Duma, Virgil-Florin Sinescu, Cosmin Craciunescu, Emanuela Lidia J Clin Med Review This systematic review and meta-analysis aimed at assessing the diagnostic accuracy of emerging technologies, such as laser fluorescence (LF), transillumination, light-emitting diode devices, optical coherence tomography (OCT), alternating current impedance spectroscopy, fluorescence cameras (FC), photo-thermal radiometry, and modulated luminescence technology. In vivo and in vitro results of such non-ionizing, non-invasive, and non-destructive methods’ effectiveness in non-cavitated dentin caries detection are sometimes ambiguous. Following the PRISMA guidelines, 34 relevant research articles published between 2011–2021 were selected. The risk of bias was assessed with a tool tailored for caries diagnostic studies, and subsequent quantitative uni- and bi-variate meta-analysis was carried out in separate sub-groups according to the investigated surface (occlusal/proximal) and study setting (in vivo/in vitro). In spite of the high heterogeneity across the review groups, in vitro studies on LF and FC proved a good diagnostic ability for the occlusal surface, with area under the curve (AUC) of 0.803 (11 studies) and 0.845 (five studies), respectively. OCT studies reported an outstanding performance with an overall AUC = 0.945 (four studies). Promising technologies, such as OCT or FC VistaProof, still need well-designed and well-powered studies to accrue experimental and clinical data for conclusive medical evidence, especially for the proximal surface. Registration: INPLASY202210097. MDPI 2022-01-28 /pmc/articles/PMC8837049/ /pubmed/35160127 http://dx.doi.org/10.3390/jcm11030674 Text en © 2022 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
Serban, Christa
Lungeanu, Diana
Bota, Sergiu-David
Cotca, Claudia C.
Negrutiu, Meda Lavinia
Duma, Virgil-Florin
Sinescu, Cosmin
Craciunescu, Emanuela Lidia
Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title_full Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title_fullStr Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title_full_unstemmed Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title_short Emerging Technologies for Dentin Caries Detection—A Systematic Review and Meta-Analysis
title_sort emerging technologies for dentin caries detection—a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837049/
https://www.ncbi.nlm.nih.gov/pubmed/35160127
http://dx.doi.org/10.3390/jcm11030674
work_keys_str_mv AT serbanchrista emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT lungeanudiana emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT botasergiudavid emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT cotcaclaudiac emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT negrutiumedalavinia emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT dumavirgilflorin emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT sinescucosmin emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis
AT craciunescuemanuelalidia emergingtechnologiesfordentincariesdetectionasystematicreviewandmetaanalysis