Abstract

This study aims to assess the influence of high-density material on the radiographic diagnosis of proximal caries in digital systems with automatic exposure compensation, and to evaluate the effect of subjective adjustment of brightness and contrast to undertake this diagnostic task. Twenty bitewing radiographs of forty posterior human teeth with non-cavitated carious lesions, confirmed by micro-CT, were obtained with two digital systems. A porcelain-fused-to-metal crown attached to a titanium implant was inserted into the exposed area, and all the radiographs were repeated. Five radiologists assessed the radiographs and diagnosed proximal carious lesions. Afterwards, the observers were asked to adjust image brightness and contrast, based on their subjective perception, and to reassess the images. Thirty percent of each experimental group was reassessed to test intraobserver reproducibility, totaling 208 images per observer. Intraobserver and interobserver agreements ranged from fair to substantial. Sensitivity, specificity, predictive values, and area under the ROC curve were calculated and compared for each radiographic system, using ANOVA (α = 0.05). Overall, presence of high-density material and adjustment of brightness and contrast did not significantly influence the radiographic diagnosis of proximal caries (p ≥ 0.05). Regarding Digora Optime, adjustment of brightness and contrast significantly increased (p < 0.05) the diagnostic accuracy of proximal carious lesions in the presence of high-density material. In conclusion, the presence of high-density material in the X-rayed region does not influence radiographic diagnosis of proximal caries. However, when it is present in the X-rayed area, subjective adjustment of brightness and contrast is recommended for use with the Digora Optime digital system.

Highlights

  • Submitted: December 2, 2019 Accepted for publication: April 23, 2020 Last revision: June 2, 2020Digital intraoral radiographic systems are widely used in many areas of dentistry

  • 0.541 most cases, specificity was greater than sensitivity, and positive predictive value (PPV) was greater than negative predictive value (NPV) in all cases

  • No significant difference was observed in the values of specificity, sensitivity, PPV and NPV, among the experimental conditions of both digital radiographic systems (p ≥ 0.05)

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Summary

Introduction

Digital intraoral radiographic systems are widely used in many areas of dentistry For this reason, digital image receptors have been constantly updated to improve image quality, and possibly increase diagnostic accuracy.[1] in addition to image post-processing tools allowing the observer to subjectively adjust features such as brightness. Contrast, some digital systems pre-process the image before it is displayed on the monitor In this respect, automatic exposure compensation (AEC) is an observer-independent pre-processing tool that adjusts the grayscale range based on the amount of X-ray reaching the image receptor.[2,3] This prevents important image degradation when exposure factors are not optimum, and has a positive effect on patient dose control.[4,5]

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