Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4809

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    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; 35796801
    Objectives 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.
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    Comparison of mandibular index values determined from standard panoramic versus cone beam computed tomography reconstructed images
    (2019) Secgin, Cansu Koseoglu; Gulsahi, Ayse; Yavuz, Yasemin; Kamburoglu, Kivanc; 30497908
    Objective. The aim of this study was to compare mandibular index values, including the mandibular cortical index (MCI), mental index (MI), and panoramic mandibular index (PMI), determined on the basis of cone beam computed tomography (CBCT) and panoramic reconstructed (PR) images. Study Design. PR and CBCT images of 182 patients were retrospectively analyzed. Cross-sectional (CS) and PR images were obtained from CBCT data. The MCI, MI, and PMI were assessed on CS, PR, and panoramic images and evaluated for intra- and interobserver agreements by kappa-value or intraclass correlation coefficient (ICC) analysis. Agreement among measurement methods was assessed by using the Bland-Altman method, with CS images as the gold standard for linear measurements. Results. Measurements from PR and CS images agreed with those from panoramic images in 66.7% and 53.8% of C3 classifications of MCI (porous cortices forming many endosteal residues), respectively. Panoramic and CBCT images exhibited good agreement in MI findings (ICC 0.91) and moderate (PR and panoramic images: ICC 0.79) to good (CS and panoramic images: ICC 0.87) agreement in PMI findings. Conclusions. Because of the overlapping of buccal and lingual cortices, panoramic images are especially inadequate for determining the C3 category of MCI. However, CS images obtained from available CBCT data provide better visibility compared with panoramic images and, therefore, can be used for evaluating mandibular indices.