口腔医学 ›› 2024, Vol. 44 ›› Issue (5): 321-328.doi: 10.13591/j.cnki.kqyx.2024.05.001

• 口腔正畸学专栏 •    下一篇

基于CBCT三维形态分析的中国青少年颈椎骨成熟度定量方法研究

吴玥,唐雯,张语嫣然,袁玮煜,潘逸菲,陈新宇,徐海洋,吕云帆,IZADIKHAH Iman,曹丹,谢理哲(),严斌()   

  1. 南京医科大学附属口腔医院正畸科,口腔疾病研究与防治国家级重点实验室培育建设点(南京医科大学),江苏省口腔转化医学工程研究中心,江苏南京(210029)
  • 收稿日期:2023-12-01 出版日期:2024-05-28 发布日期:2024-05-21
  • 通讯作者: 严 斌 E-mail:byan@njmu.edu.cn; 谢理哲 E-mail:xielizhe@njmu.edu.cn
  • 基金资助:
    国家自然科学基金(82071143);国家自然科学基金(82101079);国家重点研发计划(2022YFC2402103);江苏省卫健委医学科研重点项目(ZDA2020003);江苏省重点研发计划(BE2022795);江苏省科学技术厅社会发展面上项目(BE2023836)

Quantitative analysis of cervical vertebral maturation in Chinese adolescents based on three-dimensional morphology of cervical vertebrae

WU Yue,TANG Wen,ZHANG Yuyanran,YUAN Weiyu,PAN Yifei,CHEN Xinyu,XU Haiyang,LYU Yunfan,IZADIKHAH Iman,CAO Dan,XIE Lizhe(),YAN Bin()   

  1. Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Ora Diseases (Nanjing Medical University); Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
  • Received:2023-12-01 Online:2024-05-28 Published:2024-05-21

摘要:

目的 通过锥形束CT(CBCT)影像探究颈椎三维形态与骨骼成熟度之间的相关性,并建立基于颈椎三维形态的颈椎骨成熟度(CVM)定量评估模型。方法 共收集358例(男175例,女183例)中国青少年患者的颅颌面CBCT影像,随机分为模型建立组(277例)及验证组(81例)。定义并测量了21个颈椎三维形态学参数,纳入颈椎全部部位,包括颈椎椎体、横突、棘突、椎弓根、锥板、关节突。颈椎骨成熟指数(CVMI)由有经验的正畸医师测定并作为参考标准。采用Spearman等级相关系数和多元线性逐步分析确定相关性并构建回归模型。使用验证组数据检验各模型的评估可靠性并应用配对样本Wilcoxon符号秩检验比较模型评估值与参考标准。结果 颈椎各部位的三维形态学变化与CVMI相关(P<0.05)。男性和女性模型各包括6个三维形态参数,其中3个相同。男性模型和女性模型校正R2分别为0.899和0.902,评估准确率分别为85.0%和85.4%。配对样本Wilcoxon符号秩检验结果显示两个回归模型与参考标准间均无统计学差异(P>0.05)。结论 颈椎三维形态与骨骼成熟度相关,本研究建立的CVM三维形态学评估方法及相应的回归模型具有良好的可信度,与专家的一致性较高。

关键词: 骨骼成熟度, 颈椎骨成熟指数, 三维形态, CBCT

Abstract:

Objective To investigate associations between three-dimensional(3D) morphology of cervical vertebrae and skeletal maturation by cone-beam computed tomography(CBCT) and establish corresponding regression models for quantitatively evaluating cervical vertebral maturation(CVM). Methods The analyzed sample consisted of 358 CBCT images (175 male, 183 female), of which 277 images were randomly selected as the model development group and 81 as the performance test group. Twenty-one 3D morphological parameters were defined and measured, incorporating all parts of the cervical vertebrae, including the cervical vertebral bodies, transverse processes, spinous processes, pedicles, lamina, and articular processes. The cervical vertebral maturation index (CVMI) was determined by experienced orthodontists as reference standard. Spearman’s rank correlation coefficient and multivariable stepwise regression analysis were used to identify the associations and build regression models. The performance test group was employed to examine each model’s reliability. Paired-samples Wilcoxon signed-rank test compared the CVMI of the model prediction with the reference standard. Results Three-dimensional morphological changes in various parts of the cervical vertebrae correlated with CVMI (P<0.05). Six 3D morphometric parameters were each recognized for male and female models, three of which were identical. The adjusted R2 was 0.899 for males and 0.902 for females, with corresponding accuracies of 85.0% and 85.4%, respectively. These models showed no difference as compared with the reference standard (P>0.05). Conclusion New associations were found between 3D morphology of cervical vertebrae and skeletal maturation. The 3D-driven morphometric CVM assessment method and corresponding regression models exhibited good credibility and high consistency with experts.

Key words: skeletal maturation, cervical vertebrae maturation index, three-dimensional morphology, cone-beam computed tomography

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