Performance of near-infrared light transillumination in the detection of occlusal caries lesions in deciduous teeth.

Deciduous tooth Dental caries Diagnosis Fluorescence Transillumination

Journal

Photodiagnosis and photodynamic therapy
ISSN: 1873-1597
Titre abrégé: Photodiagnosis Photodyn Ther
Pays: Netherlands
ID NLM: 101226123

Informations de publication

Date de publication:
09 Aug 2023
Historique:
received: 04 01 2023
revised: 11 07 2023
accepted: 08 08 2023
pubmed: 12 8 2023
medline: 12 8 2023
entrez: 11 8 2023
Statut: aheadofprint

Résumé

This study compared the performance of near-infrared light transillumination (NILT; DIAGNOcam [DC]) in detecting occlusal caries lesions in deciduous molars with the performance of the International Caries Detection and Assessment System (ICDAS), digital radiographic method (RX) and laser fluorescence (DIAGNOdent pen [LFpen]). Fifty-seven extracted deciduous molars with no frank cavitation caries lesions were selected. One site per tooth was evaluated twice each by two examiners using all methods. Then, a histological examination was performed using a stereomicroscope. The performance of the methods was assessed with respect to two thresholds: D A weighted kappa and intraclass correlation coefficients were calculated for intra- and inter-observer reproducibilities, varying from 0.31 (RX) to 0.89 (LFpen). The intra-observer reproducibility at D NILT technology (DC) and LFpen exhibited similar performance for the detection of occlusal caries lesions in deciduous molars when compared with ICDAS criteria.

Sections du résumé

BACKGROUND BACKGROUND
This study compared the performance of near-infrared light transillumination (NILT; DIAGNOcam [DC]) in detecting occlusal caries lesions in deciduous molars with the performance of the International Caries Detection and Assessment System (ICDAS), digital radiographic method (RX) and laser fluorescence (DIAGNOdent pen [LFpen]).
METHODS METHODS
Fifty-seven extracted deciduous molars with no frank cavitation caries lesions were selected. One site per tooth was evaluated twice each by two examiners using all methods. Then, a histological examination was performed using a stereomicroscope. The performance of the methods was assessed with respect to two thresholds: D
RESULTS RESULTS
A weighted kappa and intraclass correlation coefficients were calculated for intra- and inter-observer reproducibilities, varying from 0.31 (RX) to 0.89 (LFpen). The intra-observer reproducibility at D
CONCLUSIONS CONCLUSIONS
NILT technology (DC) and LFpen exhibited similar performance for the detection of occlusal caries lesions in deciduous molars when compared with ICDAS criteria.

Identifiants

pubmed: 37567332
pii: S1572-1000(23)00471-4
doi: 10.1016/j.pdpdt.2023.103744
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103744

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have nothing to declare.

Auteurs

Ana Paula Marçal Marcondes (APM)

Graduate Program in Dentistry, Cruzeiro do Sul University, Rua Galvão Bueno, 868, Liberdade, São Paulo, SP 01506-000, Brazil.

Priscila Hernández de Campos (PH)

Graduate Program in Dentistry, Cruzeiro do Sul University, Rua Galvão Bueno, 868, Liberdade, São Paulo, SP 01506-000, Brazil.

Caroline Santos Ribeiro (CS)

Graduate Program in Dentistry, Cruzeiro do Sul University, Rua Galvão Bueno, 868, Liberdade, São Paulo, SP 01506-000, Brazil.

Tatiane Fernandes de Novaes (TF)

Graduate Program in Dentistry, Cruzeiro do Sul University, Rua Galvão Bueno, 868, Liberdade, São Paulo, SP 01506-000, Brazil.

Adrian Lussi (A)

Department of Operative Dentistry and Periodontology, Center of Dental Medicine, University of Freiburg, Hugstetter Strasse 55, Freiburg DE-79106, Germany.

Michele Baffi Diniz (MB)

Graduate Program in Dentistry, Cruzeiro do Sul University, Rua Galvão Bueno, 868, Liberdade, São Paulo, SP 01506-000, Brazil. Electronic address: mibdiniz@hotmail.com.

Classifications MeSH