The impact of teeth and dental restorations on gray value distribution in cone-beam computer tomography: a pilot study

International Journal of Implant Dentistry

Research

Florian Kernen¹  Susanne Nahles²  Tabea Flügge²  Oliver Wagendorf²  Max Heiland²  Stefan Zachow³  Kirstin Vach⁴ 

[1] Department of Oral and Maxillofacial Surgery and Translational Implantology, Faculty of Medicine and Medical Center, University of Freiburg, Stefan-Meier-Straße 26, 79104, Freiburg im Breisgau, Germany;Department of Oral and Maxillofacial Surgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany;Department of Oral and Maxillofacial Surgery, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Germany;Zuse Institute Berlin (ZIB), Takustraße 7, 14195, Berlin, Germany;Faculty of Medicine and Medical Center, Institute of Medical Biometry and Statistics, University of Freiburg, Stefan-Meier-Straße 26, 79104, Freiburg im Breisgau, Germany;

关键词: CBCT;    Gray values;    Bone density;    Oral surgery;   

DOI  :  10.1186/s40729-023-00493-z

 received in 2023-03-08, accepted in 2023-08-29,  发布年份 2023

来源: Springer

【 摘 要 】

PurposeTo investigate the influence of teeth and dental restorations on the facial skeleton's gray value distributions in cone-beam computed tomography (CBCT).MethodsGray value selection for the upper and lower jaw segmentation was performed in 40 patients. In total, CBCT data of 20 maxillae and 20 mandibles, ten partial edentulous and ten fully edentulous in each jaw, respectively, were evaluated using two different gray value selection procedures: manual lower threshold selection and automated lower threshold selection. Two sample t tests, linear regression models, linear mixed models, and Pearson's correlation coefficients were computed to evaluate the influence of teeth, dental restorations, and threshold selection procedures on gray value distributions.ResultsManual threshold selection resulted in significantly different gray values in the fully and partially edentulous mandible. (p = 0.015, difference 123). In automated threshold selection, only tendencies to different gray values in fully edentulous compared to partially edentulous jaws were observed (difference: 58–75). Significantly different gray values were evaluated for threshold selection approaches, independent of the dental situation of the analyzed jaw. No significant correlation between the number of teeth and gray values was assessed, but a trend towards higher gray values in patients with more teeth was noted.ConclusionsStandard gray values derived from CT imaging do not apply for threshold-based bone segmentation in CBCT. Teeth influence gray values and segmentation results. Inaccurate bone segmentation may result in ill-fitting surgical guides produced on CBCT data and misinterpreting bone density, which is crucial for selecting surgical protocols.Graphical AbstractCreated with BioRender.com

【 授权许可】

CC BY   
© Deutsche Gesellschaft für Implantologie im Zahn‐, Mund‐ und Kieferbereich e.V., Japanese Society of Oral Implantology 2023

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