MAKING THE INVISIBLE VISIBLE: A NEW DIAGNOSTIC TOOL IN ENDODONTICS

MAKING THE INVISIBLE VISIBLE: A NEW DIAGNOSTIC TOOL IN ENDODONTICS Public Deposited

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Abstract

Development of an endodontic diagnostic tool that is objective and does not elicit any pain will improve chairside diagnosis and ensure patient comfort. This study utilized Red-Green-Blue (RGB) color analysis and Eulerian Video Magnification (EVM) to assess periapical tissues by revealing hidden data in videos of the intraoral tissues. The goal of this hypothesis generating pilot study was to determine whether these technologies detect changes in blood flow and aid in diagnosis of periapical inflammation (disease). We obtained videos of the oral mucosa overlying the periapical tissues of teeth with clinical signs of apical periodontitis (n=20). Controls (n=20) were the oral mucosa overlying periapical tissues of normal contralateral teeth. Videos were analyzed using RGB analysis and EVM via a high level computing language, MATLAB. Data were analyzed using Wilcoxon matched pairs signed rank test and significance set at p<0.05. RGB/EVM analysis were not able to detect a difference in blood flow in the intra-oral videos of both the diseased and control tissues.

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