The Effect of Brightness Filter Alterations for Detecting Internal Root Resorption in Single Root Teeth in Cone Beam Computed Tomography: An In-Vitro Study

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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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.32592/jsmj.23.6.535
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

The Effect of Brightness Filter Alterations for Detecting Internal Root Resorption in Single Root Teeth in Cone Beam Computed Tomography: An In-Vitro Study

Dental Radiography and Imaging
article

The Effect of Brightness Filter Alterations for Detecting Internal Root Resorption in Single Root Teeth in Cone Beam Computed Tomography: An In-Vitro Study

article en

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.

Ahvaz Jundishapur University of Medical Sciences (IR)
Ahvaz Jundishapur University of Medical Sciences
Openalex Percentile: Top 59%
Dental Radiography and Imaging
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The Effect of Brightness Filter Alterations for Detecting Internal Root Resorption in Single Root Teeth in Cone Beam Computed Tomography: An In-Vitro Study · (2024) | TGRS Research Map | TGRS