Risk assessment of mandibular incisive canal perforation during dental implant surgery in the anterior edentulous mandible: a virtual implant placement study using cone beam computed tomography.

OBJECTIVE: The aim of this study was to evaluate the risk of mandibular incisive canal (MIC) perforation caused by implants placed on cone beam computed tomography (CBCT) images in the edentulous mandibular anterior region. STUDY DESIGN: A total of 1200 dental implants were virtually inserted on 150 eligible CBCT scans. The relationship of different implant sizes with the incidence of MIC perforation and the relationship between crest height and perforation were evaluated. RESULTS: A total of 1200 virtual implant applications were performed on 150 patients. In 87% of cases, MIC was identified. Perforation in 12 and 14 mm implants was significantly higher than in 8- and 10-mm implants (P < .05). Perforation was found to be statistically significantly higher in crest heights that were ≤20 mm than in crest heights >20 mm (P < .05). CONCLUSIONS: Our results showed high perforation rates in the 12- and 14-mm implants and crests heights that were ≤20 mm during implant surgery in the mandibular anterior edentulous region. Perforation of the MIC should be considered a complication of implant surgery in the mandibular anterior region; therefore, CBCT images should be evaluated before implant placement.

Risk Assessment of Lingual Plate Perforation in Anterior Edentulous Mandibular Region: A Virtual Implant Placement Study Using Cone-Beam Computed Tomography.

BACKGROUND: The aim of this study was to evaluate the prevalence of lingual cortical bone perforation caused by virtually placed implants on cone-beam computed tomography images in the edentulous mandibular canine region and determine the relationship between the morphological structure of the crest and the risk of perforation. METHODS: Eight hundred dental implants were virtually inserted on 100 qualified cone-beam computed tomography scans. Crests were divided into 4 groups according to the crest morphology as Type U, Type L, Type P, and Type C. The distance between the implant tip and lingual plate was measured using a digital caliper. Incidence of lingual plate perforation and proximity of the implant tip to the lingual plate were measured for 4 types of the alveolar crest. RESULTS: A total of 800 virtual implant applications were performed in 100 patients who met the inclusion criteria. The incidence of lingual plate perforation was found to be significantly higher in Type U crests than in the other types. It was also found to be statistically significantly higher in Type L crests than in Type P and Type C crests. When the relationship between implant length and perforation was evaluated, perforation in 14 mm implants was significantly higher than 8, 10, and 12 mm implants. CONCLUSIONS: According to the results of this study, it was determined that high rates of perforation occurred in the U and L type crests and 14 mm implants during implant surgery in the mandibular anterior edentulous region.

Assessment of saliva and gingival crevicular fluid soluble urokinase plasminogen activator receptor (suPAR), galectin-1, and TNF-α levels in periodontal health and disease.

OBJECTIVE: The aim of the study is to evaluate saliva and gingival crevicular fluid (GCF) levels of suPAR and galectin-1 in different periodontal health status and relationship between these molecules and TNF-α to understand the roles of these molecules in periodontal inflammation process. BACKGROUND: Soluble urokinase plasminogen activator receptor (suPAR) has been described as a biological marker of inflammation and immunological activation. Galectin-1, a member of the galectin family, is an anti-inflammatory cytokine. However, to date, levels of these two molecules in periodontal health and disease have not been well documented. METHODS: A total of 60 individuals, 20 with chronic periodontitis (group P), 20 with gingivitis (group G), and 20 with healthy periodontium (group H) were recruited for this study. Full-mouth clinical periodontal measurements were recorded in periodontal charts. GCF and whole saliva samples were collected to determine the levels of suPAR, galectin-1, and TNF-α in study groups using enzymelinked immunosorbent assay (ELISA) method. RESULTS: The GCF total amount of suPAR, galectin-1, and TNF-α in GCF was similar in group P and G (P > .05). The GCF total amounts of these molecules in GCF were higher in the group G and P compared to the group H (P < .05), whereas the GCF concentrations of suPAR and galectin-1 were lower in the group G and P compared to the group H (P < .05).The saliva concentration of suPAR was significantly higher in group P compared to the group G and H (P < .05). It was also higher in the group G compared to the group H but there is no significant difference between the groups (P > .05). Salivary galectin-1 levels were similar in the study groups (P > .05). CONCLUSION: Increased levels of GCF suPAR, galectin-1, and saliva suPAR in periodontal disease suggest that these molecules may play a role in the periodontal inflammation. suPAR and galectin-1 may be considered as potential biomarkers in periodontal disease.