Diş Hekimliği Fakültesi / Faculty of Dentistry
Permanent URI for this collectionhttps://hdl.handle.net/11727/2120
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Item Assessment of gingival thickness in the maxillary anterior region using different techniques(2022) Yilmaz, Mediha Nur Nisanci; Secgin, Cansu Koseoglu; Ozemre, Mehmet Ozgur; Inonu, Elif; Aslan, Serhat; Bulut, Sule; 35796801Objectives Gingival phenotype is closely related to treatment success and aesthetic results in the maxillary anterior region. Several methods were proposed to measure the dimensions of the gingival tissue. This study aimed to evaluate the gingival thickness using clinical and radiographic techniques and to explore the association between gingival thickness and gingival phenotypes classified by color-coded phenotype probes. Materials and methods The gingival thickness of 86 periodontally healthy maxillary anterior teeth was assessed using transgingival probing (TGP) and cone-beam computed tomography (CBCT). The gingival phenotype was classified as thin, medium, thick, or very thick by transparency of the color-coded probes through the gingival sulcus. The labial alveolar bone thickness was measured on CBCT images. The keratinized tissue width (KTW) was recorded. Results Good to excellent agreement was found between TGP and CBCT regarding the thickness of the gingiva (p<0.001). There was a very high correlation between the phenotypes determined by color-coded probes and the gingival thickness measured by TGP (r=0.953, p<0.001). KTW was significantly higher in thick and very thick phenotype groups compared with thin phenotype group. Conclusion Cone-beam computed tomography images and the probe transparency method with color-coded probes are reliable for identifying the gingival phenotype in the maxillary anterior region, based on comparisons to direct transgingival probing.Item Accuracy of high-resolution ultrasound (US) for gingival soft tissue thickness mesurement in edentulous patients prior to implant placement(2021) Sonmez, Gul; Kamburoglu, Kivanc; Gulsahi, Ayse; 33201732Objectives: To evaluate and compare the accuracy of high-resolution ultrasound (US) with two different cone beam CT (CBCT) units and clinical assessment for measuring gingival soft tissue thickness in edentulous patients prior to implant placement. Methods and materials: The study consisted of 40 maxillary implant sites of 40 healthy patients (20 females, 20 males; mean age, 47.88 years). We prospectively evaluated labial/buccal gingival thickness in 40 implant regions (16 anterior and 24 posterior) by using limited field of view (FOV) CBCT images and US images in comparison to gold standard transgingival probing measurements. One-way analysis of variance (ANOVA) was used to compare mean measurements obtained from CBCT (Morita and Planmeca), US, and transgingival probing. Interclass correlation coefficient (ICC) estimates were calculated based on means with two-way mixed and absolute-agreement model. Bland Altman plot was used to describe agreement between clinical vs US and CBCT measurements by constructing limits of agreement. Statistical significance was set at p < 0.05. Results: There was no significant difference between methods used according to mean gingival thickness measurements obtained from the top (p = 0.519) and bottom (p = 0.346) of the alveolar process. US and CBCT measurements highly correlated with clinical measurements for both top and bottom alveolar process gingival thickness (p < 0.001). Distribution of differences between clinical measurements and both CBCT measurements showed statistically significant differences according to 0 (p < 0.05). Distribution of differences between clinical measurements and US measurements did not show statistically significant difference (p > 0.05). Conclusion: High-resolution US provided accurate information for the measurement of gingival soft tissue thickness in edentulous patients prior to implant placement.