Materials · 2023 · 10 citations · 33 references
DentistryDental Materials ScienceRestorative DentistryDental MaterialsPreventive Dental MaterialsSurface Properties Of Dental MaterialsComposite Resin RestorationsDental CariesEnamel CariesEnamel DemineralizationRemineralizing AgentsTooth DemineralizationCaries InhibitionCaries Lesion DepthEnamel Demineralization AssessmentIon-releasing Dental MaterialsLesion Depth AssessmentMicro-computed TomographyMicro-computed Tomography EvaluationRestorative Materials
The objective of this study was firstly to assess the demineralization inhibitory effect of ion-releasing restorations in enamel adjacent to restoration using a biofilm caries model and secondly to compare the effect to that in a chemical caries model. Fifty-six bovine incisors were filled with either Surefil one (SuO), Cention N (CN) (both ion-releasing materials), Ketac-Molar (GIC) or Powerfill resin composite (RC). The restored teeth were then randomly divided into 2 groups according to the used caries model (biofilm or chemical caries model). The micro-computed tomography (MicroCt) and optical coherence tomography (OCT) outcome measures used to evaluate demineralization inhibition effects were lesion depth, LD and increase in OCT integrated reflectivity, ΔIR, at five different depths. It was observed that all outcome measures of CN were statistically the same as those of GIC and conversely with those of RC. This was also the case for SuO except for LD, which was statistically the same as RC. When comparing the two caries models, LD of the biofilm model was statistically deeper (p < 0.05) than the chemical model for all four materials. In conclusion, CN and SuO have similar demineralization inhibitory effects as GIC, and the biofilm caries model is more discriminatory in differentiating demineralization inhibitory effects of ion-releasing restorative material.
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David Huang, Eric A. Swanson, Charles P. Lin et al. · Science · 1991 · 13.7K citations
Statistical assessment of a laboratory method for growing biofilms
Darla M. Goeres, Linda R. Loetterle, Martin A. Hamilton et al. · Microbiology · 2005 · 269 citations
Characterization of dentin and enamel by use of optical coherence tomography
Xiaojun Wang, Thomas E. Milner, Johannes F. de Boer et al. · Applied Optics · 1999 · 173 citations · Full text