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Clin Oral Implants Res ; 23(10): 1142-6, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22111758

ABSTRACT

OBJECTIVE: This prospective randomized match-paired controlled trial aimed to evaluate the impact of implant platform diameter on marginal bone level around implants restored according to the platform switching (PS) concept. MATERIAL AND METHODS: A total of 24 implants were examined in 12 patients. All patients received two adjacent implants inserted at the crestal level: 4.3 mm (control group) and 4.8 mm (test group) in diameter. Mesio-distal implant position was randomly performed. According to the PS concept, for restoration, a 3.8 and 4.3 mm diameter abutment was used, respectively in the control and test groups, resulting, in both groups, with 0.25 mm of implant/abutment mismatching. Implant restorations were splinted. Eighteen months after final restoration, periapical standardized digital radiographs were taken to evaluate marginal bone level alterations after loading. The Wilcoxon Signed-Rank Test was selected to identify differences between groups. RESULTS: At the last follow-up, control implants exhibited a mean bone loss value of 1.10 mm (SD: 0.47 mm); the test group showed a mean value of 1.09 mm (SD: 0.08 mm). No statistically significant differences were found between test and control groups. CONCLUSIONS: Within the limits of this study, the present results suggest that bone resorption is mostly related to biologic (biologic width re-establishment) rather than to biomechanical factors (implant platform diameter). Furthermore long-term studies with a wider sample size are needed to confirm the platform diameter influence on hard tissue response around implants restored according to the PS concept.


Subject(s)
Alveolar Bone Loss/physiopathology , Bone Resorption , Dental Implants , Alveolar Bone Loss/diagnostic imaging , Dental Implant-Abutment Design , Dental Prosthesis, Implant-Supported , Female , Follow-Up Studies , Humans , Male , Middle Aged , Osteotomy , Prospective Studies , Radiography , Risk Factors , Statistics, Nonparametric
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