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通过数字图像相关技术评估颅面生长和正畸治疗的精度与准确性:一项前瞻性队列研究。

Precision and accuracy of craniofacial growth and orthodontic treatment evaluation by digital image correlation: a prospective cohort study.

作者信息

Danz Jan Christian, Stöckli Simone, Rank Christian Per

机构信息

Department of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine ZMK, University of Bern, Bern, Switzerland.

Orthodontics and Dentofacial Orthopedics, Odense, Denmark.

出版信息

Front Oral Health. 2024 Jul 26;5:1419481. doi: 10.3389/froh.2024.1419481. eCollection 2024.

Abstract

INTRODUCTION

A precise and accurate method for structural superimposition is essential for analyzing dentofacial growth and orthodontic or surgical treatment in longitudinal studies. The errors associated with different superimposition methods have not yet been assessed in high-quality studies.

OBJECTIVES

This study aimed to assess the precision and accuracy of digital image correlation (DIC) for structural superimposition.

METHODS

Two cephalometric images from 30 consecutive patients were superimposed using three DIC methods, each measured twice by two examiners. Areas including the contours of the sella, the whole cranial base (CB), and Walker's point and lamina cribrosa (WPLC) were compared using a random coefficient model. Inter-rater and intra-rater errors were assessed for each method.

RESULTS

WPLC provided the best precision for image rotation and cephalometric landmarks. Systematic bias was observed between the WPLC and CB methods for image rotation and most landmarks. The intra-rater error in image rotation during DIC was strongly correlated with the intra-rater error in the landmarks of the anterior nasal spine, articulare, and pogonion.

CONCLUSION

Structural superimposition using DIC with WPLC is a precise method for analyzing dentofacial growth and orthodontic or surgical treatment. Moreover, the best method is the measurement of longitudinal dental and craniofacial changes on structurally superimposed cephalometric radiographs with WPLC and a reference grid including the true vertical and horizontal lines from Walker's point.

摘要

引言

在纵向研究中,一种精确准确的结构叠加方法对于分析牙颌面生长及正畸或外科治疗至关重要。不同叠加方法相关的误差尚未在高质量研究中得到评估。

目的

本研究旨在评估数字图像相关技术(DIC)用于结构叠加的精度和准确性。

方法

使用三种DIC方法对30例连续患者的两张头影测量图像进行叠加,由两名检查者分别测量两次。使用随机系数模型比较包括蝶鞍轮廓、整个颅底(CB)以及沃克点和筛板(WPLC)等区域。评估每种方法的检查者间和检查者内误差。

结果

WPLC在图像旋转和头影测量标志点方面提供了最佳精度。在图像旋转和大多数标志点方面,观察到WPLC和CB方法之间存在系统偏差。DIC过程中图像旋转的检查者内误差与前鼻棘、关节点和颏前点标志点的检查者内误差密切相关。

结论

使用DIC结合WPLC进行结构叠加是分析牙颌面生长及正畸或外科治疗的一种精确方法。此外,最佳方法是在结构叠加的头影测量X线片上,使用WPLC和包括来自沃克点的真实垂直线和水平线的参考网格来测量牙齿和颅面的纵向变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15f6/11310159/a260e24cc970/froh-05-1419481-g001.jpg

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