Gohain Meghna, Asif Muhammad Khan, Nambiar Phrabhakaran, Rahim Amir Hazwan Abdul, Mohd Noor Nora Sakina, Ibrahim Norliza
Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.
Department of Oral Radiology, Faculty of Dentistry, MAHSA University, Saujana Putra, Malaysia.
J Forensic Sci. 2025 Jul 20. doi: 10.1111/1556-4029.70129.
Accurate three-dimensional (3D) age estimation relies on cone beam computed tomography (CBCT) image quality. This study investigated the effect of voxel size on age estimation using 3D surface area analysis (3D SAA) of developing tooth apices from different CBCT systems. CBCT scans of 128 developing maxillary second premolars from children aged 7-14 years of Malay and Chinese ethnicities were retrospectively collected using a voxel size of 76 μm. The surface area of the developing apex was measured using the 3D SAA method. A previously developed regression formula, based on 300 μm voxel size data, was applied to calculate the mean absolute error (MAE) for the 76 μm voxel data. A strong negative correlation (r = 0.960) was found between chronological age (CA) and root surface area of apex (RSAA). An MAE value of 0.51 was obtained, demonstrating the high accuracy of the existing regression model. RSAA and root development status significantly contributed to age estimation (p < 0.05), except for sex (p = 0.37) and ethnicity (p = 0.49). No significant differences in the correlation strength between CA and RSAA (p = 0.09), the correlation coefficient (p = 0.08), and the MAE values (p = 0.13) were observed when tested against the previous 300 μm findings. This study demonstrated that the 3D SAA-based age estimation model performs consistently across both voxel sizes. As smaller voxel sizes did not significantly improve accuracy, the use of larger voxel sizes may be preferred to reduce radiation exposure, especially in pediatric populations.
准确的三维(3D)年龄估计依赖于锥形束计算机断层扫描(CBCT)图像质量。本研究使用不同CBCT系统发育牙根尖的3D表面积分析(3D SAA),调查了体素大小对年龄估计的影响。回顾性收集了128颗来自7 - 14岁马来族和华裔儿童的上颌第二前磨牙的CBCT扫描图像,体素大小为76μm。使用3D SAA方法测量发育牙根尖的表面积。应用基于300μm体素大小数据先前开发的回归公式,计算76μm体素数据的平均绝对误差(MAE)。发现实际年龄(CA)与根尖根表面积(RSAA)之间存在强负相关(r = 0.960)。获得的MAE值为0.51,表明现有回归模型具有较高的准确性。RSAA和牙根发育状态对年龄估计有显著贡献(p < 0.05),但性别(p = 0.37)和种族(p = 0.49)除外。与先前300μm的研究结果相比,在CA与RSAA之间的相关强度(p = 0.09)、相关系数(p = 0.08)和MAE值(p = 0.13)方面未观察到显著差异。本研究表明,基于3D SAA的年龄估计模型在两种体素大小下均表现一致。由于较小的体素大小并未显著提高准确性,因此可能更倾向于使用较大的体素大小以减少辐射暴露,尤其是在儿科人群中。