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  • A novel volume based cone beam computed tomography periapical index

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    Cameron483641-Accepted.pdf (175.2Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Boubaris, Matthew
    Chan, Keen Long
    Zhao, Wei
    Cameron, Andrew
    Sun, Jing
    Love, Robert
    George, Roy
    Griffith University Author(s)
    Sun, Jing
    Cameron, Andrew B.
    Love, Robert M.
    George, Roy
    Year published
    2021
    Metadata
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    Abstract
    Introduction: The purpose of this study was to evaluate the variations in volume of periapical lesions scored using cone beam computed tomography periapical index (CBCTPAI) and develop a new volume based periapical index. Methods: Cone beam computed tomography images were obtained from InteleViewerTM. Teeth with a periapical radiolucency or with a history of endodontic treatment were included in this study. Using three-dimensional medical imaging processing software (Mimics ResearchTM), the maximum diameter of 273 periapical lesions and their corresponding CBCTPAI score was determined. The software was then used to determine ...
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    Introduction: The purpose of this study was to evaluate the variations in volume of periapical lesions scored using cone beam computed tomography periapical index (CBCTPAI) and develop a new volume based periapical index. Methods: Cone beam computed tomography images were obtained from InteleViewerTM. Teeth with a periapical radiolucency or with a history of endodontic treatment were included in this study. Using three-dimensional medical imaging processing software (Mimics ResearchTM), the maximum diameter of 273 periapical lesions and their corresponding CBCTPAI score was determined. The software was then used to determine the volume of the lesions using a semi-automatic segmentation technique. Results: There was a substantial variation in the volume for CBCTPAI scores 3, 4 and 5, which was demonstrated by the variance and range, thus making it difficult to use the current CBCTPAI as a method to predict volume and treatment outcomes. A new index, cone beam computed tomography periapical volume index (CBCTPAVI), was developed using partition classification analysis. The results for the new index demonstrated high levels of sensitivity, specificity, precision, and area under the curve, all at 0.90 or more, except one sensitivity for CBCTPAVI 1 at 0.875. Overall, the accurate classification rate was 98.169% and root mean square error rate was low at 0.07. Conclusions: The proposed CBCTPAVI will allow clinicians to classify lesions based on their true three-dimensional size, accurately assess healing of lesions, and predict treatment outcomes.
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    Journal Title
    Journal of Endodontics
    DOI
    https://doi.org/10.1016/j.joen.2021.04.027
    Copyright Statement
    © 2021 American Association of Endodontists. Published by Elsevier Ltd. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Note
    This publication has been entered in Griffith Research Online as an advanced online version.
    Subject
    Biomedical and clinical sciences
    Dentistry
    Endodontics
    Publication URI
    http://hdl.handle.net/10072/404452
    Collection
    • Journal articles

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