Document Type : Original Article
Authors
1
Assistant Professor, Department of Endodentics, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
2
Assistant Professor, Department of Oral and Maxillofacial Radiology, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
3
Post Gratituded, Department of Oral and Maxillofacial Radiology, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4
Dentist, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
5
Assistant Professor, Department of Oral and Maxillofacial Surgery, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran .
6
Assistant Professor, Department of Oral and Maxillofacial Pathology, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
10.32592/jsmj.23.6.535
Abstract
Background and Objectives Diagnosis of internal root resorption in anterior teeth, which are important in terms of beauty and mental health, is of great importance. There are several processing algorithms to facilitate the interpretation of the images used to diagnose and treat internal analysis, one of which is brightness. The aim of this study was to investigate the effect of brightness changes on the diagnosis of endodontic resorption in single-rooted teeth in tomography.
Subjects and Methods Forty-five single root teeth with were splinted mesiodistally in this in vitro case-control study. Artificial internal resorption lesions were created in cervical, middle or apical areas. CBCT images were taken before and after cavity preparation. CBCT images was evaluated by Two radiologists in low, intermediate and high brightness value. The data were analyzed using Kappa and Mac-Nemar tests on SPSS software. Overall accuracy was evaluated with sub curve analysis of ROC.
Results Specificity, sensitivity and overall accuracy were calculated using Kappa statistical analysis test of all brightness images (low-medium-high) showed only for second observer between low brightness images and reality meaningful difference exist. Also, sensitivity, specificity and overall accuracy were high for both observers and also slightly higher in high brightness images.
Conclusion from present study we can conclude that in using of brightness filter in CBCT images, high brightness has more conformity with reality and can be useful.
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