A Cone-beam Computed Tomography Interpretation of Malar Bone Changes in Skeletal Malocclusion.

Autor:	Dash BP; Department of Orthodontics and Dentofacial Orthopedics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India, Phone: +91 8260521242, e-mail: bhagabatidash23@gmail.com., Reddy R; Department of Orthodontics and Dentofacial Orthopedics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Mohanty P; Department of Orthodontics and Dentofacial Orthopedics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Sahoo N; Department of Orthodontics and Dentofacial Orthopedics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Dash S; Department of Orthodontics and Dentofacial Orthopedics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Chatterjee S; Department of Dental Sciences, District Head Quarter Hospital, Dhenkanal, Odisha, India.
Jazyk:	angličtina
Zdroj:	The journal of contemporary dental practice [J Contemp Dent Pract] 2019 Nov 01; Vol. 20 (11), pp. 1319-1322. Date of Electronic Publication: 2019 Nov 01.
Abstrakt:	Aim: The purpose of this cross-sectional study is to signify malar bone anatomy and to obtain linear correlation with varied skeletal pattern by utilizing cone beam computed tomographic views. Materials and Methods: The experimental sample consisted of cone-beam computed tomography (CBCT) scans of 30 patients taken for the purpose of orthodontic treatment and peri implant planning (16 males and 14 females), 11-30 years of age (mean, 23.4 years). The sex and age were documented for all samples and nine landmarks were evaluated. The various CBCT were categorized into different malocclusions based on wits appraisal. Its prevalence was collated with age, sex and various malocclusion by Chi-square test. Results: Age and gender altogether influenced M1. The mean posterior zygomatic bone width (M1) for all sample was 63.7 mm. For M1 estimations, no huge contrast was observed among left and right side ( p = 0.915). The mean anteriorzygomatic bone width (M2) was 51.8 mm. No noteworthy contrast amongst two sides ( p = 0.995) or age ( p = 0.067) was seen. Although sex altogether influenced M3 variety ( p = 0.003), the mean greatest cortical thickness (max CT) (M4) was 9.36 mm, significant difference was observed between the minimum cortical thickness of skeletal class I and skeletal class III malocclusion design. Conclusion: Detailed evaluation of malar bone should be performed prior to any ortho-surgical procedure using CBCT. Clinical Significance: Our study signifies the importance of consideration of zygoma during any pre-treatment evaluation of skeletal malocclusion. It also marks the pivotal role of zygoma while considering gross facial esthetics. Precise assurance of zygomatic bone size may likewise aid the choice of fitting surgeries and determination of zygomatic implant area. How to cite this article: Dash BP, Reddy R, Mohanty P, et al. A Cone-beam Computed Tomography Interpretation of Malar Bone Changes in Skeletal Malocclusion. J Contemp Dent Pract 2019;20(11):1319-1322.
Databáze:	MEDLINE
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