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The bond between the resilient denture liner material and the denture base is essential to improve complete denture accuracy and retention to the underlying ridge. The bonding characteristics between resilient denture reline materials and conventional Polymethyl methacrylate (PMMA) denture base polymers have been evaluated extensively. But with the introduction of digital fabricated complete denture, the bond characteristics between digitally fabricated dentures and denture liner is sparse.
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Dental prostheses fabricated using different digital technology have become popular in recent years. Computer-aided design and computer-aided manufacturing (CAD-CAM) technology provides two techniques, milled or 3D printed technique which simplified the complex dental laboratory procedures by digitalizing the prosthetic design and automating the manufacturing process. Digitally fabricated prostheses have been reported to have excellent accuracy factor that has been related to favorable clinical performance. However, bone resorption underneath any mucosa supported prosthesis is not avoidable. Resilient liners are required for most complete dentures after 6 to 12 months to improve adaptation to the underlying tissues and to reduce the force transmitted to the edentulous ridge during functionThe bond between the resilient denture liner material and the denture base is essential to improve complete denture accuracy and retention to the underlying ridge. The bonding characteristics between resilient denture reline materials and conventional Polymethyl methacrylate (PMMA) denture base polymers have been evaluated extensively. But with the introduction of digital fabricated complete denture, the bond characteristics between digitally fabricated dentures and denture liner is sparse.
Therefore, the aim of this project is to evaluate the bond strength and effectiveness of denture reline of CAD/CAM (milled and 3D printed ) fabricated complete dentures compared to conventional heat-polymerized denture base.
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12 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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