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A cross-sectional study to estimate Variations in the Number of Roots and the Root Canal System of the Permanent Mandibular First and Second Molars in a Sample of Egyptian Population using cone beam computed tomography through retrospective data analysis
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Setting and Location:
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.
cone beam images will be obtained from Egyptian patients who had cone beam computed tomography examination as part of their dental examination, diagnosis or treatment planning .
Participants:
A total sample of 384 mandibular first and second permanent molars belonging to Egyptian individuals will be included.
Images of the first and second mandibular permanent molars are selected according to the following criteria:
Inclusion criteria:
Exclusion criteria:
Variables:
Data Sources / Measurements:
Bias:
No source of bias.
Study Size:
To detect variations in number of roots and root canals in permanent mandibular first and second molars in the Egyptian population. The investigators are going to apply convenient consecutive sampling.Using a precision of 5, a design effect set at 1 with 95% CI (confidence interval), a total sample size of 384 will be sufficient. The sample size was calculated by Epi info.
sampling strategy: The sample will be collected by simple random sampling .
Quantitative Variables:
The number of cone beam computed tomography scans of Egyptian individuals with extra roots and accessory root canals in mandibular first and second permanent molars 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. Comparisons between male and females for normally distributed numeric variables will be done using the Student's t-test while for non-normally distributed numeric variables will be done by Mann-Whitney test. Comparisons between categorical variables will be performed using the chi square test. A p-value less than or equal to 0.05 will be considered statistically significant. All tests will be two tailed.
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