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下颌前部舌管的解剖学分类与几何建模:一项针对中国北方人群的锥形束计算机断层扫描研究

Anatomical classification and geometric modeling of the lingual canal in the anterior mandible: a cone-beam computed tomography study in a Northern Chinese population.

作者信息

Fang Zhiyu, Fu Wenqi, Ma Guowu, Piao Xianyu, Kou Ni, Koh Jeong-Tae

机构信息

Department of Pharmacology and Dental Therapeutics, School of Dentistry, Chonnam National University, Gwangju, 61186, Korea.

Hard-Tissue Biointerface Research Center, School of Dentistry, Chonnam National University, Gwangju, 61186, Korea.

出版信息

Surg Radiol Anat. 2025 Jul 16;47(1):177. doi: 10.1007/s00276-025-03685-x.

Abstract

PURPOSE

This study aimed to investigate the anatomical variations of the lingual canal in the anterior mandible of the Northern Chinese population using cone-beam computed tomography (CBCT), and to develop a geometric framework that may inform preoperative assessment and provide anatomical reference data for future AI-assisted image analysis and implant planning.

METHODS

CBCT images from 200 Northern Chinese individuals were analyzed to assess the number, position, diameter, trajectory, and spatial parameters of the lingual canal. Classification was performed based on the canal's location relative to the genial tubercle: superior (SGT) or inferior (IGT). Additionally, canal convergence with the incisive and mandibular canals was recorded, and geometric relationships between key anatomical landmarks were validated.

RESULTS

The lingual canal detection rate was 100%, with 90.5% located in the anterior mandible, primarily in the midline or between central and lateral incisors. Fifteen morphological types were identified. Canals in the SGT group were longer and wider, while those in the IGT group were shorter and narrower. In our sample, canals appeared to be positioned more inferiorly and exhibited smaller diameters (~ 0.5 mm) compared to data reported in non-Chinese populations. A geometric model was proposed: [Formula: see text]. Convergence with the incisive canal was 13.4%, and with the mandibular canal, 1.81%.

CONCLUSION

The lingual canal in this population shows anatomical variation and distinct spatial configurations. The proposed geometric model and dataset may support CBCT planning and future AI approaches for detecting and classifying lingual canals.

摘要

目的

本研究旨在使用锥形束计算机断层扫描(CBCT)研究中国北方人群下颌前部舌管的解剖变异,并建立一个几何框架,为术前评估提供参考,并为未来的人工智能辅助图像分析和种植规划提供解剖学参考数据。

方法

分析200名中国北方个体的CBCT图像,以评估舌管的数量、位置、直径、走行和空间参数。根据舌管相对于颏结节的位置进行分类: superior(SGT)或inferior(IGT)。此外,记录舌管与切牙管和下颌管的汇合情况,并验证关键解剖标志之间的几何关系。

结果

舌管检出率为100%,90.5%位于下颌前部,主要位于中线或中切牙与侧切牙之间。共识别出15种形态类型。SGT组的管更长更宽,而IGT组的管更短更窄。在我们的样本中,与非中国人群报告的数据相比,管的位置似乎更低,直径更小(约0.5mm)。提出了一个几何模型:[公式:见正文]。与切牙管的汇合率为13.4%,与下颌管的汇合率为1.81%。

结论

该人群的舌管显示出解剖变异和独特的空间构型。所提出的几何模型和数据集可能支持CBCT规划以及未来用于检测和分类舌管的人工智能方法。

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