Ali Habibi Kia - Assistant Professor of Oral and Maxillofacial Radiology, Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
arash dabaghi - Associate Professor of Oral and Maxillofacial Radiology, Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
pouya nikdast - Undergraduate Student of Dentistry,Faculty of Dentistry, Ahvaz Jundishapur University of Medical Sciences. Ahvaz, Iran

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 ۳۴ healthy single-canal & rooted teeth were split mesiodistally through their medial canal using an ultra-thin metal saw (۱ mm). Then, absorption cavities were artificially created in both low and high degree absorption forms. CBCT images with three different magnification levels of ۵۰, ۱۰۰ and ۱۵۰ 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 (۱۰۰%, ۸۸.۲۴% and ۹۴%, 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.

Root Resorption, Cone Beam Computed Tomography, Radiography