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Human Bone Typing Using Quantitative Cone-Beam Computed Tomography
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DOI：10.1016/j.identj.2022.08.011.png)
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Abstract
En 中文
Introduction: Bone typing is crucial to enable the choice of a suitable implant, the surgical technique, and the evaluation of the clinical outcome. Currently, bone typing is assessed subjectively by the surgeon.Objective: The aim of this study is to establish an automatic quantification method to deter-mine local bone types by the use of cone-beam computed tomography (CBCT) for an observer-independent approach.Methods: Six adult human cadaver skulls were used. The 4 generally used bone types in dental implantology and orthodontics were identified, and specific Hounsfield unit (HU) ranges (grey-scale values) were assigned to each bone type for identification by quantita-tive CBCT (qCBCT). The selected scanned planes were labelled by nonradiolucent markers for reidentification in the backup/cross-check evaluation methods. The selected planes were then physically removed as thick bone tissue sections for in vitro correlation meas-urements by qCBCT, quantitative micro-computed tomography (micro-CT), and quantita-tive histomorphometry.Results: Correlation analyses between the different bone tissue quantification methods to identify bone types based on numerical ranges of HU values revealed that the Pearson cor-relation coefficient of qCBCT with micro-CT and quantitative histomorphometry was R = 0.9 (P = .001) for all 4 bone types .Conclusions: We found that qCBCT can reproducibly and objectively assess human bone types at implant sites.(c) 2022 The Authors. Published by Elsevier Inc. on behalf of FDI World Dental Federation. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords:
CBCT
Bone types
Dental implantology
Human
Quantification