Retrospective study on three-dimensional characteristics of mesiodens using CBCT in pediatric dentistry

Author:

Ryu GiYoun,Song Ji-Soo,Shin Teo Jeon,Hyun Hong-Keun,Kim Jung-Wook,Jang Ki-Taeg,Lee Sang-Hoon,Kim Young-Jae

Abstract

The purpose of this study was to investigate the three-dimensional characteristics of mesiodens using Cone-beam Computed Tomography(CBCT) and analyze the factors affecting complications and anesthetic methods of extraction. This study evaluated 602 mesiodens of 452 patients who underwent extraction of mesiodens at the department of Pediatric Dentistry in Seoul National University Dental Hospital between 2017 and 2019. The ratio of mesiodens patients over total patient per year was gradually increased over the past 20 years. Mesiodens with labio-palatally horizontal direction while root directing labial were the most common among the mesiodens with horizontal direction. Mesiodens were the most common at the cervical side of the adjacent teeth(37.0%) and mesiodens located in the near-palatal side were observed about 3.83 times higher than the far-palatal side. Most of the mesiodens(82.1%) were in contact with adjacent permanent teeth on all three sides of the CBCT and 46.2% of mesiodens had curved roots. The patient’s age, vertical position, presence of complications, and proximity showed a significant difference in the selection of general anesthesia among anesthetic methods. The direction and vertical position of mesiodens had a significant effect on complications. These results provide a better understanding of mesiodens for establishing an accurate diagnosis and treatment plan.

Publisher

Korean Academy of Pediatric Dentistry

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images;International Journal of Intelligent Systems;2023-10-23

2. Endoscopic Removal of Ectopic Tooth in Nasal Cavity: Report of Two Cases;Journal of Clinical Otolaryngology Head and Neck Surgery;2023-06

3. Identification of Mesiodens Using Machine Learning Application in Panoramic Images;THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY;2021-05-31

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