Seyed Hossein Razavi , Soudeh Berahmand , Khalil Sarikhani Khorami , Motahareh Kaboodsaz Yazdi, Nasim Namiranian ,
Volume 7, Issue 3 (9-2019)
Abstract
Background and objectives: An effective factor in choosing the correct place for the dental implant and performing surgical procedures in the posterior regions of mandible is the position of the mandibular canal. Failure to consider this important landmark will damage the inferior alveolar nerve. Considering the widespread use of implants and the precision of the images obtained from CBCT. The aim of this study was to evaluate the rate of visibility of mandibular canal by CBCT in order to prevent damage to the inferior alveolar nerves and arteries.
Material And Methods: In this study, 90 archived CBCT images of patients from a private center of oral and maxillofacial radiology in Yazd that was taken by technician was evaluated during 2012-2019. The visibility of the mandibular canal in reconstructed panoramic images of CBCT was assessed by a dentistry student trained by the maxillofacial radiologist in five areas in different thicknesses on each side. Data were analyzed using SPSS 17 software. Chi-square, and correlation coefficient were done.
Results: In total, in 53.38% of CBCT images both borders of mandibular canal were visible, in 17.95%, only one border was visible (difficult observation) and in 28.7% of cases, lack of visibility of mandibular canal was reported. There was no significant difference between sex, age, side and thickness in mandibular canal visibility (P >0.05).
Conclusion: In more than half of CBCT images, both borders were clearly visible in both right and left sides; therefore we can conclude that CBCT is a useful tool for the observation of mandibular canal before surgeries.
Masoud Esmaeili, Negin Khosravi, Ali Habibi Kia,
Volume 8, Issue 2 (7-2020)
Abstract
Background: Supernumerary teeth are known as the teeth in excess of the normal dentition. Multiple supernumerary teeth are usually observed as having syndromes. Conversely, multiple supernumerary teeth without any associated systemic conditions or syndromes are not common.
Case presentation: This article documents an unusual case report, a male patient with non-syndromic 10 supernumerary teeth in both jaws, an incidental finding during routine radiographic examination.
Conclusion: CBCT is the best diagnostic imaging method currently available for determining the relationships of teeth and the surrounding structures in cases with multiple impacted teeth or severe overlapping of impacted teeth.
Ali Habibi Kia, Arash Dabaghi, Pouya Nikdast,
Volume 9, Issue 4 (12-2021)
Abstract
Background and Objective: Early detection of Internal Root Resorption (IRR) is considered a challenging issue in endodontics. Processing filters are used to facilitate image interpretation either in diagnostic or treatment procedures. The aim of this study was to investigate the effect of magnification changes on the detection of IRR in Cone Beam Computed Tomography (CBCT) images.
Material and Methods: In this study, a total of 34 healthy single-canal & rooted teeth were split mesiodistally through their medial canal using an ultra-thin metal saw (1 mm). Then, absorption cavities were artificially created in both low and high degree absorption forms. CBCT images with three different magnification levels of 50, 100 and 150 were analyzed by one radiologist and one endodontist before and after artificial cavity creation. Gathered data were analyzed by MacNemar and Kappa tests using SPSS statistical software. Overall accuracy was calculated by the area under the curve (AUC).
Results: Calculated percentages of sensitivity, specificity and overall accuracy for the first (with high image magnification) and second (with low image magnification) observer were the same (100%, 88.24% and 94%, respectively) and there was no significance difference between low and high degree of resorption and also different magnifications with reality.
Conclusion: Depending on its method of application, all levels of magnification for CBCT images are suitable in diagnosis of IRR.
