脊枕骨突、颈椎、腭中缝和第三磨牙成熟阶段的相关性。

Evan Booth, Grace Viana, Sajjad Shirazi, Steven Miller, Terry Sellke, Mohammed Elnagar, Marlos Viana, Phimon Atsawasuwan
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引用次数: 0

摘要

研究目的估算颈椎成熟(CVM)、椎枕滑膜症(SOS)、腭中缝成熟(MPS)和第三磨牙矿化(TMM)之间的联合相关性,并评估 SOS 对 CVM 和 MPS 的预测潜力。材料和方法:分析了来自三家私人诊所的 570 张治疗前锥形束计算机断层扫描(CBCT)扫描图像,并由两名独立研究人员对 MPS、CVM、SOS 和 TMM 阶段进行分类和记录。评分者内部和评分者之间的可靠性测试采用加权科恩卡帕测试进行评估。序数数据的斯皮尔曼相关系数用于估算 SOS、CVM、MPS 和 TMM 之间的成对相关性。为了评估 SOS 是否能预测 CVM 和 MPS,对序数回归模型进行了估计和交叉验证:分析表明,SOS 与 CVM(r = 0.845)之间以及 SOS 与 MPS(r = 0.742)之间存在稳健的正相关关系。在 CVM 和 MPS 之间也发现了明显的相关性(r = 0.659)。此外,TMM 与 SOS(r = 0.444)、TMM 与 MPS(r = 0.392)以及 TMM 与 CVM(r = 0.358)之间也存在相关性。序数回归模型表明,SOS 有可能成为 CVM 和 MPS 阶段的预测指标:通过综合分析,SOS 与 CVM 和 MPS 密切相关,SOS 阶段可用于使用序数回归预测 CVM 和 MPS。由于MPS分期因其解剖结构而难以分类,这一发现建议使用SOS分期作为诊断工具,或在需要更多关于患者骨骼成熟度的信息时使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlations of spheno-occipital synchondrosis, cervical vertebrae, midpalatal suture, and third molar maturation stages.

Objectives: To estimate the joint correlations among cervical vertebrae maturation (CVM), spheno-occipital synchondrosis (SOS), midpalatal suture maturation (MPS), and third molar mineralization (TMM) and to assess the predictive potential of SOS on CVM and MPS.

Materials and methods: 570 pretreatment cone-beam computed tomogram (CBCT) scans from three private practices were analyzed, and MPS, CVM, SOS, and TMM stages were categorized and recorded by two independent investigators. Intra- and inter-rater reliability tests were evaluated with weighted Cohen's kappa tests. Spearman correlation coefficients for ordinal data were used to estimate the pairwise correlations among SOS, CVM, MPS, and TMM. To evaluate if SOS could predict CVM and MPS, ordinal regression models were estimated and cross-validated.

Results: The analysis demonstrated a robust positive correlation between SOS and CVM (r = 0.845) and between SOS and MPS (r = 0.742). A significant correlation was also observed between CVM and MPS (r = 0.659). Further correlations were identified between TMM and SOS (r = 0.444), TMM and MPS (r = 0.392), and TMM and CVM (r = 0.358). Ordinal regression models indicated the potential of using SOS as a predictive marker for CVM and MPS stages.

Conclusions: With a comprehensive analysis, SOS is strongly correlated with CVM and MPS, and SOS stage can be used to predict CVM and MPS using ordinal regression. Since MPS stages are challenging to categorize due to their anatomy, this finding suggests a diagnostic tool using SOS stages or when more information on skeletal maturity of the patient is desired.

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