@article{Shah_Pradhan_2019, title={Computed Tomographic Evaluation of Calvarial Thickness}, volume={8}, url={https://aijournals.com/index.php/ajmr/article/view/449}, DOI={10.21276/ajmr.2019.8.1.RD1}, abstractNote={<p><strong>Background: </strong>Majority of the cranial bones are characterized as flat bones and can be recognized because of their layered bony structure whereas the cancellous bone layer, is known as diploe, and it lies between two layers of dense cortex.&nbsp; The advent of Computed tomography has revolutionized the technology of imaging and diagnosis of the calvarium during the last few years. The present study was done to evaluate the calvarial thickness by CT. <strong>Subjects and Methods:</strong> This cross sectional observational study, was carried out on a total of 178 subjects undergoing CT Scan of Head in the department of Radiology.&nbsp; The frontal bone was divided into lower, middle and upper third. Similarly, the parietal and occipital bones were also divided into three parts namely anterior, middle and posterior third. All the data was arranged in a tabulated form and analyzed using SPSS software. Student t test was used for comparison. Probability value of less than 0.05 was considered as significant. <strong>Results:</strong> The mean age of the subjects was 38.98 years (Range 17 to 76 years). The posterior 3 rd parietal thickness amongst males was 4.60 +0.91 and females was 5.54 +1.63. Difference of calvarial thickness between male and female at this point was statistically significant. The anterior 3 rd parietal thickness on right side was 4.89 +0.79 and on left side was 4.45 +0.93. There was a significant difference between the two. <strong>Conclusion: </strong>The present study shows that the thickness of anterior third of the parietal bone on the right side was more than on the left side amongst both males and females. It also shows that the posterior 3rd parietal thickness among female was more than males.</p&gt;}, number={1}, journal={Asian Journal of Medical Research}, author={Shah, Ankur and Pradhan, Anup}, year={2019}, month={Feb.}, pages={RD01-RD03} }