PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: This study aimed to assess the precision and accuracy of digital image correlation (DIC) for structural superimposition.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: This study aimed to assess the precision and accuracy of digital image correlation (DIC) for structural superimposition.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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：
■精确而准确的结构叠加方法对于分析纵向研究中的牙面生长以及正畸或手术治疗至关重要。在高质量研究中尚未评估与不同叠加方法相关的错误。
■本研究旨在评估用于结构叠加的数字图像相关（DIC）的精度和准确性。
■使用三种DIC方法叠加了来自30名连续患者的两张头颅测量图像，每个由两名审查员测量两次。包括蝶鞍轮廓在内的区域，整个颅底（CB），使用随机系数模型比较了Walker点和筛板（WPLC）。对每种方法的评分者和评分者之间的误差进行了评估。
■WPLC为图像旋转和头影标志提供了最佳精度。在图像旋转的WPLC和CB方法与大多数标志之间观察到系统偏差。DIC期间图像旋转中的评分者内误差与前鼻脊柱标志中的评分者内误差密切相关，口齿不清，还有Pogonion.
■使用DIC与WPLC进行结构叠加是一种分析牙面生长和正畸或手术治疗的精确方法。此外，最好的方法是用WPLC和参考网格测量结构叠加的头颅射线照片上的纵向牙齿和颅面变化，该网格包括Walker点的真实垂直线和水平线。
■本研究旨在评估用于结构叠加的数字图像相关（DIC）的精度和准确性。
■使用三种DIC方法叠加了来自30名连续患者的两张头颅测量图像，每个由两名审查员测量两次。包括蝶鞍轮廓在内的区域，整个颅底（CB），使用随机系数模型比较了Walker点和筛板（WPLC）。对每种方法的评分者和评分者之间的误差进行了评估。
■WPLC为图像旋转和头影标志提供了最佳精度。在图像旋转的WPLC和CB方法与大多数标志之间观察到系统偏差。DIC期间图像旋转中的评分者内误差与前鼻脊柱标志中的评分者内误差密切相关，口齿不清，还有Pogonion.
■使用DIC与WPLC进行结构叠加是一种分析牙面生长和正畸或手术治疗的精确方法。此外，最好的方法是用WPLC和参考网格测量结构叠加的头颅射线照片上的纵向牙齿和颅面变化，该网格包括Walker点的真实垂直线和水平线。
