Relationship of Gingival Biotype with Schneiderian Membrane Thickness Using Cone Beam Computed Tomography (CBCT) (original) (raw)
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The Scientific World Journal, 2015
The objective of the present study was to assess cone-beam computed tomography (CBCT) as a diagnostic method for determination of gingival thickness (GT) and distance between gingival margin and vestibular (GMBC-V) and interproximal bone crests (GMBC-I). GT and GMBC-V were measured in 348 teeth and GMBC-I was measured in 377 tooth regions of 29 patients with gummy smile. GT was assessed using transgingival probing (TP), ultrasound (US), and CBCT, whereas GMBC-V and GMBC-I were assessed by transsurgical clinical evaluation (TCE) and CBCT. Statistical analyses used independentt-test, Pearson’s correlation coefficient, and simple linear regression. Difference was observed for GT: between TP, CBCT, and US considering all teeth; between TP and CBCT and between TP and US in incisors and canines; between TP and US in premolars and first molars. TP presented the highest means for GT. Positive correlation and linear regression were observed between TP and CBCT, TP and US, and CBCT and US. Di...
Correlation between Gingival Phenotype, Residual Ridge Height and the Schneiderian Membrane
International Journal of Oral Implantology & Clinical Research, 2012
Purpose: Sinus perforations are one of the most common complications during sinus augmentation procedures. Preoperative prediction of the antral membrane thickness would be of practical importance and serves as an additional information for surgical planning. The purpose of this study was to analyze a possible correlation and comparison between gingival phenotype and the residual ridge height on the dentulous and the edentulous side to the thickness of the healthy sinus mucosa. Materials and methods: Twenty-five consecutive patients were included in the study; preoperative cone beam computed tomography (CBCT) scanning was performed to radiographically evaluate the gingival phenotype (GP), the height of the residual ridge (RRH) at the edentulous side and the dentulous side and thickness of the schneiderian membrane (SMT). The smallest RRH, highest SM and gingival thickness values were recorded. These values were classified as follows: RRH < or >3.5 mm; SM < or >1 mm; and GP <1.5 or >2 mm.
Archives of Oral Biology, 2017
This study sought to assess the relationship between facial gingival and bone dimensions in maxillary anterior teeth region using cone beam computed tomography (CBCT). Design: This study assessed 621 maxillary anterior teeth in 144 patients. In the sagittal plane, facial bone thickness (BT) and gingival thickness (GT) were measured at the crestal level and at 2, 4 and 6 mm apical to the cementoenamel junction (CEJ). The dentogingival complex (DGC) dimensions and the distance from the CEJ to bone crest were also measured on CBCT scans. To determine the gingival biotype, GT at 2 mm apical to the gingival margin was measured and GT <1.5 mm was categorized as thin while GT !1.5 mm was categorized as thick. The data were analyzed using SPSS version 21 via repeated measures ANOVA and the Cochrane's Q, chi-square and independent samples t-tests. Results: The BT around the maxillary central and lateral incisors and canine teeth at 4 and 6 mm apical to the CEJ was significantly different in thick and thin gingival biotypes (P < 0.05). The mean GT at 2 and 4 mm apical to the CEJ was significantly different around central and lateral incisors (P < 0.05). Thickness of crestal bone was significantly different between the two gingival biotypes around central and lateral incisors (P < 0.05). Conclusion: The two gingival biotypes had significantly different mean BT; different biotypes and their relationship to BT varied around anterior maxillary teeth.
The Saudi Dental Journal, 2018
The aim of this study was to measure the thickness of the mucous membrane lining the maxillary sinus and to correlate this thickening of the Schneiderian membrane with the presence or absence of periodontal bone loss of adjacent teeth, by using cone beam computed tomography (CBCT). Methods: 255 CBCT images were analyzed of which 140 images were selected for the study. Based upon the absence of radiographic periodontal bone loss and presence of 50% or more bone loss, these CBCT images were respectively divided into two groups viz. Group I (Healthy) and Group II (Periodontal Bone Loss Group), each group consisting of 70 images each. The thickening of the mucous membrane lining of the floor of maxillary sinus was measured at four points on the CBCT. These points were the anterior most point of the thickened mucosa, the posterior most point of the thickened mucosa, at the midpoint (MP) (point midway between the anterior most and the posterior most point) and the point of maximum thickness of the sinus mucosa. Results: The age adjusted mean thickness for Group II was significantly greater than that of Group I (p < 0.001) at all the four points. There was a positive association between presence of periodontal bone loss and thickening of Schneiderian membrane at the floor of the sinus. There was a weak positive association between age and mucosal thickness. Of all the four points measured, the maximum correlation between age and thickness was obtained at MP (r = 0.171), which was statistically significant (p = 0.044).
Medicina
Background and Objective: Gingival biotype can be assessed using a variety of invasive and non-invasive procedures, such as direct probing, transgingival probing, ultrasound-guided approaches, and, for the more sophisticated, cone-beam computed tomography. The aim of this study was to evaluate gingival biotype in relation to transgingival probing and cone-beam computed tomography (CBCT). Materials and Methods: This study included a total of two hundred healthy individuals. Gingival thickness was assessed and measured from the right and left maxillary central incisor teeth using CBCT and transgingival probing of the attached gingiva. The measurements were analyzed with regard to tooth type (central incisor). Linear measurements for gingival biotype were measured using both methods. Correlations and differences between measurement methods were assessed. Results: The mean age of study participants was 32.49 ± 8.61 years. The radiographic measurements on CBCT were 1.34 ± 0.17 mm for the...
An evaluation of gingival phenotype and thickness as determined by indirect and direct methods
The Angle Orthodontist
Objectives To evaluate gingival phenotype (GP) and thickness (GT) using visual, probing, and ultrasound (US) methods and to assess the accuracy and consistency of clinicians to visually identify GP. Materials and Methods The GP and GT of maxillary and mandibular anterior teeth in 29 orthodontic patients (mean age 25 ± 7.5 years) were assessed using probing and US by a single examiner. General dentist and dental specialist assessors (n = 104) were shown intraoral photographs of the patients, including six repeated images, and asked to identify the GP via a questionnaire. Results An increasing trend in GT values of thin, medium, and thick biotype probe categories was found, though this was not statistically significant (P = .188). Comparison of probing method to determinations of GT made by US yielded slight agreement (κ = 0.12). Using the visual method, assessors’ identification of the second GP determination ranged from poor to moderate agreement (κ = 0.29 to κ = 0.53). Conclusions ...
PeerJ, 2020
Background The aim of this study was to measure the morphology of interdental papillae (IP) in maxillary anterior teeth using cone-beam computed tomography (CBCT). Methods Twenty-seven periodontally healthy subjects with 135 IP were evaluated by means of periodontal examination and a CBCT scan with an elastomeric matrix containing radiopaque material in position. According to the status of tooth contact and presence of IP, subjects were categorized into three groups: open contact point, complete papillae, and deficient papillae group. The papillae height (PH), facial-lingual thickness (FLT), and interdental distance (IDD) were measured. Data was analyzed with the significance level at α = 0.05. Results The mean PH values were 4.17 ± 0.51 mm, 3.99 ± 0.61 mm, and 3.99 ± 0.62 mm, for the open contact group, complete papilla, and deficient papilla group, respectively. The PH values of the recorded sites among central incisors, lateral incisors, and canine were 4.13 ± 0.56 mm, 3.87 ± 0. ...
International Journal of Environmental Research and Public Health
The aim of this study was to compare the effectiveness of two diagnostic methods: ultrasonic gingival thickness measurement (UGTM) and cone-beam computed tomography, intraoral scanning by computer-aided design technology with prosthetic-driven implant planning software (CBCT/CAD/PDIP) in determining the gingival phenotype (GP). Thirty periodontally healthy patients were examined. The ultrasonic device Pirop G® with a frequency of 20 MHz and CBCT/CAD/PDIP were used to measure gingival thickness at upper canines and incisors in three points localized midbuccally, namely free gingival thickness (FGT), supracrestal (SGT) and crestal (CGT). Probing depth (PD), clinical attachment level (CAL) and width of keratinized tissue (WKT) were measured using periodontal probe. Intra-examiner and inter-examiner agreement and agreement between methods were evaluated using Bland-Altman analyses. Comparing both methods in the determination of SGT (bias = 0.17 mm, SD = 0.25 mm, p < 0.000) and CGT (b...
The International Journal of Oral & Maxillofacial Implants
The aims of this study were to determine the accuracy and repeatability of CBCT for assessing gingival thickness (GT) as compared to transgingival probing and to investigate the correlation between GT and labial bone defects. Materials and Methods: This cross-sectional study comprised 37 patients who underwent CBCT imaging. A total of 111 sites were examined, and measurements were obtained from the same points on selected index teeth. The GT was measured, and the presence of dehiscence and fenestration defects was evaluated on the CBCT scans. Transgingival probing was performed at the same points as those used on the scans. Intraexaminer reliability for clinical and radiographic measurements and interexaminer reliability for radiographic measurements were tested. Agreement between the measurement methods and the correlations between GT and labial bone defects were assessed using intraclass correlation coefficient (ICC) and chi-square test, respectively. Results: The agreement between both measurement methods was excellent and statistically significant (ICC = 0.888; P < .001), with a bias of 0.04 (95% CI: 0.01 to 0.08). Significant differences in the occurrence of fenestration (P = .023) and dehiscence defects (P < .001) between the thin and thick gingival phenotypes were observed, and the defects were positively correlated with the thin gingival phenotype. Conclusion: CBCT demonstrated high diagnostic accuracy for GT measurements, with minimal discrepancies from the transgingival method. The presence of dehiscence and fenestration defects was positively correlated with thin gingival phenotype.
Evaluation of the relationship between gingival phenotype and alveolar bone morphology
Mucosa, 2019
Objective In recent years, the determination of gingival phenotype has gained importance in the field of dentistry. Bone and gingival relationship may directly affect the success rate of treatment modalities. The aim of this study is to evaluate the relationship between gingival phenotype and underlying alveolar bone thickness. Methods In this study, we investigated the relationship between the clinical periodontal parameters and gingival phenotypes on the cone beam computed tomography (CBCT) image taken in the last 3 months of a total of 207 teeth. The gingival phenotype was identified as "thin" / "medium" / "thick" with the newly developed Hu-Friedy Color-vue® phenotype probe. Clinical periodontal parameters, width of keratinized tissue and gingival recession values were recorded. Buccal bone thickness was measured at three points, as crestal 1, 2 and 4 mm. on CBCT images. Results According to the results, in thin phenotype, width of keratinized gingiva and bone thickness at three levels was found significantly lower than thick phenotype (p<0.016). In medium phenotype bone thickness at crestal 2 and 4 mm were found to be significantly less than the thick phenotype (p<0.016). Additionally a negative correlation was seen between gingival recession and bone thickness at crestal 2 and 4 mm levels (p<0.05). Conclusions We observed that there was a significant positive correlation between the gingival phenotype and buccal alveolar bone thickness. We suggest that the amount of bone thickness may be effective on ginigval recession.