Anatomical variations in the maxillary anterior region: a cone beam computed tomographic study of the canalis sinuosus and its accessory canals.

Matheus Chaves Veronezzi, Igor Henrique Silva Pinheiro, Elen Souza Tolentino,Camila Camarini,Wilton Mitsunari Takeshita,Lilian Cristina Vessoni Iwaki, Mariliani Chicarelli Silva

General dentistry(2023)

引用 0|浏览1
暂无评分
摘要
The objective of this study was to verify the frequency, diameter, and location of the canalis sinuosus (CS) and its accessory canals (ACs) using cone beam computed tomographic (CBCT) images and to correlate these findings with patient sex, age, and skeletal facial pattern. This observational retrospective study assessed the CBCT scans of 398 patients. The laterality, diameter, and location of the terminal portion of the canals were recorded. Linear measurements of the nasal cavity floor, buccal cortical bone, and alveolar ridge crest were also made. The χ2 and Fisher exact tests were used to verify the relationships between patient sex, age, and facial pattern and the presence of CS and ACs. The presence of CS and ACs was verified in 195 (48.99%) and 186 (46.73%) individuals, respectively, and showed no correlations with sex, age, or facial pattern. In 165 cases (84.61%), the CS emerged bilaterally. For ACs, most cases (n = 97; 52.14%) were unilateral. A total of 277 ACs were detected, and 161 (58.12%) of these were located in the palatal or incisive foramen region and 116 (41.88%) in the buccal region. Their terminal portions were located more frequently in the central incisor region (38.26%). The mean CS diameter was significantly larger in men than in women (P < 0.001). The linear measurements of the nasal cavity floor, buccal cortical bone, and alveolar ridge crest did not reveal statistically significant differences between the sexes. This knowledge is helpful for maxillary surgical planning to avoid damage to the neurovascular bundle and subsequent complications.
更多
查看译文
关键词
canalis sinuosus,maxillary anterior region,accessory canals,anatomical variations
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要