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Marginal Adaptation of Different Bulk-fill Composites: A Microcomputed Tomography Evaluation
1Restorative Dental Sciences Department, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Bulk-fill resin composites show promising marginal integrity in deep cavities, with SDR outperforming others. Conventional composites and Tetric N-Ceram Bulk Fill performed well in dentin margins, suggesting bulk-fill materials are a viable alternative to layered composites.
Area of Science:
- Dental Materials Science
- Restorative Dentistry
- Biomaterials Engineering
Background:
- Bulk-fill resin composites (RBCs) were developed to simplify dental restorations by allowing placement in thicker layers (4-5 mm).
- Evaluating their adaptation and marginal integrity is crucial for clinical success, especially in deep cavities.
Purpose of the Study:
- To assess the marginal adaptation and integrity of different bulk-fill resin composites (RBCs) compared to a conventional composite.
- To investigate the influence of aging on the performance of these materials in class II cavities.
Main Methods:
- Mesio-occlusal-distal cavities were prepared in human molars, with margins on enamel and dentin.
- Teeth were restored with three bulk-fill RBCs (SDR, FBF, TBF) or one conventional composite (CC).
- Restorations underwent aging (thermocycling and cyclic loading), followed by microcomputed tomography (µ-CT) analysis of interfacial gap volume.
Main Results:
- Smart Dentin Replacement (SDR) exhibited the smallest interfacial gap volume post-aging.
- Conventional composite (CC) showed good performance on enamel margins, while Tetric N-Ceram Bulk Fill (TBF) performed well on dentin margins.
- Filtek™ One Bulk Fill (FBF) demonstrated the largest gap volume, indicating poorer marginal adaptation.
Conclusions:
- Bulk-fill RBCs, particularly SDR, are suitable for deep class II cavities with dentin margins, offering an alternative to conventional layered RBCs.
- Further clinical studies are recommended to validate these findings in real-world patient scenarios.
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