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INTRODUCTION: A growing number of studies on diagnostic imaging show superior efficiency and accuracy of computer-aided diagnostic systems compared to certified dentists. This methodological systematic review aims to evaluate the different methodological approaches used by studies focusing on machine learning and deep learning and that have used radiographic databases to classify, detect, and segment dental caries. METHODS: The protocol was registered in PROSPERO before data collection (CRD42022348097). Literature research was performed in MEDLINE, Embase, IEEE Xplore, and Web of Science until December 2022, without language restrictions. Studies and surveys using a dental radiographic database for the classification, detection, or segmentation of carious lesions were sought. Records deemed eligible were retrieved and further assessed for inclusion by two reviewers who resolved any discrepancies through consensus. A third reviewer was consulted when any disagreements or discrepancies persist between the two reviewers. After data extraction, the same reviewers assessed the methodological quality using the CLAIM and QUADAS-AI checklists. RESULTS: After screening 325 articles, 35 studies were eligible and included. The bitewing was the most commonly used radiograph (n=17) at the time when detection (n=15) was the most explored computer vision task. The sample sizes used ranged from 95 to 38437, while the augmented training set ranged from 300 to 315786. Convolutional neural network (CNN) was the most commonly used model. The mean completeness of CLAIM items was 49 % (SD ± 34%). The applicability of the CLAIM checklist items revealed several weaknesses in the methodology of the selected studies: most of the studies were monocentric, and only 9% of them used an external test set when evaluating the model's performance. The QUADAS-AI tool revealed that only 43% of the studies included in this systematic review were at low risk of bias concerning the standard reference domain. CONCLUSION: This review demonstrates that the overall scientific quality of studies conducted to feed AI algorithms is low. Some improvement in the design and validation of studies can be made with the development of a standardized guideline for the reproducibility and generalizability of results and, thus, their clinical applications.
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La carie dentaire est une maladie universelle répandue à travers le monde depuis des millénaires. C'est une maladie multifactorielle non transmissible évitable. Afin de réduire son impact, la présente étude a eu pour objectif de rechercher les facteurs déterminant la prévalence de la carie dentaire au service d'odontologie du Centre Hospitalier Régional (CHR) de Tenkodogo au Burkina Faso. Méthodologie. Il s'est agi d'une étude transversale descriptive qui s'est déroulée du 11 mars au 11 avril 2015. Un guide d'entretien individuel adressé aux patients a servi à la collecte des données. Le profil socio-économique, le niveau de connaissance sur l'hygiène bucco-dentaire, les pratiques en matière d'hygiène buccale, le mode alimentaire et le niveau de connaissance sur la carie dentaire ont été les variables recueillies. Résultats. Cent quarante patients dont 62,1 % de sexe féminin ont participé à l'étude. L'âge moyen était de 33,1 ans. La prévalence carieuse était de 97,1 % avec un indice DCAO moyen de 3,68 %. Un tiers des patients avait un niveau de connaissance suffisant sur l'hygiène buccale. La consommation quotidienne d'aliments sucrés était retrouvée chez 69,3 % et la pratique du grignotage chez 62,1%. La douleur était le motif de première consultation (57,1%). La visite préventive au cabinet dentaire était méconnue par 93,6 % des patients. Conclusion. Les résultats ont montré une insuffisance de connaissance de la maladie carieuse. Seule la sensibilisation pourrait aider à la réduction de la prévalence de la carie au sein de la communauté
Assuntos
Burkina Faso , Cárie Dentária/diagnóstico , Cárie Dentária/epidemiologia , Comportamento Alimentar , Conhecimento , Higiene BucalRESUMO
AIM: To assess the effectiveness of mineral trioxide aggregate (MTA) used as an indirect pulp-capping material in human molar and premolar teeth. METHODOLOGY: We conducted a clinical evaluation of 60 teeth, which underwent an indirect pulp-capping procedure with either MTA or calcium hydroxide cement (Dycal(®) ). Calcium hydroxide was compared with MTA and the thickness of the newly formed dentine was measured at regular time intervals. The follow-up was at 3 and 6 months, and dentine formation was monitored by radiological measurements on digitised images using Mesurim Pro(®) software. RESULTS: At 3 months, the clinical success rates of MTA and calcium hydroxide were 93% and 73%, respectively (P = 0.02). At 6 months, the success rate was 89.6% with MTA, and remained steady at 73% with calcium hydroxide (P = 0.63). The mean initial residual dentine thickness was 0.23 mm, and increased by 0.121 mm with MTA and by 0.136 mm with calcium hydroxide at 3 months. At 6 months, there was an increase of 0.235 mm with MTA and of 0.221 mm with calcium hydroxide. CONCLUSIONS: A higher success rate was observed in the MTA group relative to the Dycal(®) group after 3 months, which was statistically significant. After 6 months, no statistically significant difference was found in the dentine thickness between the two groups. Additional histological investigations are needed to support these findings.
