Assessment of Maxillary Sinus Septum and Its Prevalence in a Sample of Egyptian Population (CBCT)

Overview

a cross-sectional study to estimate the prevalence of maxillary sinus septum and assessment of it in a sample of Egyptian Population using cone beam computed tomography through retrospective data analysis

Setting and location: 1. The data collection will be obtained from the data base available at the department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University, Cairo, Egypt. 2. CBCT images will be obtained from Egyptian patients who had CBCT examination as part of their dental examination, diagnosis or treatment planning. Participants: A total sample of 111examined sinus belonging to Egyptian individuals will be included. Variables: 1. Prevalence of maxillary sinus septa. 2. Location of maxillary sinus septa. 3. Orientation of maxillary sinus septa in dentulous \& edentulous individual. Data Sources / Measurements: * Retrospective Data collection will be performed after the CBCT images are pooled from the computer database. * All the CBCT examinations will be scanned using CBCT machine (Planmeca promax 3D Mid). * CBCT scans using different fields of view, and different voxel resolutions . * CBCT images will be interpreted by two oral radiologists independently; blinded from demographic data of the patients and from the results of each other. * Each one will evaluate the images separately twice with a period of two weeks between the two reading sessions. * Then inter-observational and intra-observational variability between the observers will be evaluated. Bias: No source of bias. Study Size: The results showed that a total sample size of 111examined sinus will be adequate to detect sinus septum prevalence of 24.6% with an 8% margin of error, a significance level of 5% and a 95% confidence interval. Quantitative Variables: The number of CBCT scans of Egyptian individuals with maxillary sinus septa will be counted to estimate the variations in the Egyptian population. Statistical methods: Data will be analysed using IBM SPSS advanced statistics (Statistical Package for Social Sciences), version 21 (SPSS Inc., Chicago, IL). Numerical data will be described as mean and standard deviation or median and range. Categorical data will be described as numbers and percentages.

Conditions

Eligibility

Outcomes