Comparison of Trabecular Bone Mineral Density Measurement Using Hounsfield Unit and Trabecular Microstructure in Orthodontic Patients Using Cone-Beam Computed Tomography
- Authors
- Kim, Tae-Hyun; Lee, Dong-Yul; Jung, Seok-Ki
- Issue Date
- 2월-2021
- Publisher
- MDPI
- Keywords
- bone mineral density; trabecular microstructure; Hounsfield unit; cone-beam computed tomography
- Citation
- APPLIED SCIENCES-BASEL, v.11, no.3, pp.1 - 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED SCIENCES-BASEL
- Volume
- 11
- Number
- 3
- Start Page
- 1
- End Page
- 10
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/50014
- DOI
- 10.3390/app11031028
- ISSN
- 2076-3417
- Abstract
- The aim of this study was to measure the bone mineral density of specific regions of maxilla, mandible, and first cervical vertebra using the Hounsfield unit and trabecular microstructure pattern analysis and to compare the two methods. In this study, cone-beam computed tomography (CBCT) images were obtained from 58 patients. Trabecular thickness, trabecular number, trabecular separation, and bone volume fraction were measured in 484 regions for trabecular microstructure parameters and Hounsfield unit was measured for the grayscale value. There was no difference in bone mineral density between the right and left side in every site and between males and females. Trabecular thickness and trabecular number were high in the order of anterior base of the maxilla, mandibular body, first cervical vertebra, and mandibular condyle. Bone volume fraction and Hounsfield unit were high in the order of anterior base of the maxilla, mandibular body, mandibular condyle, and first cervical vertebra (p < 0.05). Trabecular thickness, trabecular number, and bone volume fraction was positively correlated to the Hounsfield unit, and trabecular separation was negatively correlated to the Hounsfield unit (p < 0.005). This study suggests that it is possible to compare the bone mineral density of trabecular bone in various sites using the Hounsfield unit and trabecular microstructure pattern analysis.
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