Abstract：
This study evaluated the accuracy of computer-assisted surgery (CAS)-driven DCIA (deep circumflex iliac artery) flap mandibular reconstruction by traditional morphometric methods and geometric morphometric methods (GMM).
Reconstruction accuracy was evaluated by measuring distances and angles between bilateral anatomical landmarks. Additionally, the average length of displacements vectors between landmarks was computed to evaluate factors assumed to influence reconstruction accuracy. Principal component analysis (PCA) was applied to unveil main modes of dislocation.
High reconstruction accuracy could be demonstrated for a sample consisting of 26 patients. The effect of the number of segments and length of defect on reconstruction accuracy were close to the commonly used significance threshold (p = 0.062/0.060). PCA demonstrated displacement to result mainly from sagittal and transversal shifts.
CAS is a viable approach to achieve high accuracy in mandibular reconstruction and GMM can facilitate the evaluation of factors influencing reconstruction accuracy and unveil main modes of dislocation in this context.
Reconstruction accuracy was evaluated by measuring distances and angles between bilateral anatomical landmarks. Additionally, the average length of displacements vectors between landmarks was computed to evaluate factors assumed to influence reconstruction accuracy. Principal component analysis (PCA) was applied to unveil main modes of dislocation.
High reconstruction accuracy could be demonstrated for a sample consisting of 26 patients. The effect of the number of segments and length of defect on reconstruction accuracy were close to the commonly used significance threshold (p = 0.062/0.060). PCA demonstrated displacement to result mainly from sagittal and transversal shifts.
CAS is a viable approach to achieve high accuracy in mandibular reconstruction and GMM can facilitate the evaluation of factors influencing reconstruction accuracy and unveil main modes of dislocation in this context.
摘要：
本研究通过传统的形态计量学方法和几何形态计量学方法（GMM）评估了计算机辅助手术（CAS）驱动的DCIA（深回旋髂动脉）皮瓣下颌骨重建的准确性。
通过测量双侧解剖标志之间的距离和角度来评估重建准确性。此外,计算界标之间位移向量的平均长度,以评估假定影响重建精度的因素.主成分分析（PCA）用于揭示位错的主要模式。
对于由26名患者组成的样本，可以证明高重建准确性。段数和缺损长度对重建精度的影响接近常用的显著性阈值(p=0.062/0.060)。PCA显示位移主要是由矢状和横向位移引起的。
CAS是在下颌骨重建中实现高精度的可行方法，GMM可以帮助评估影响重建精度的因素，并揭示在这种情况下的主要脱位模式。
通过测量双侧解剖标志之间的距离和角度来评估重建准确性。此外,计算界标之间位移向量的平均长度,以评估假定影响重建精度的因素.主成分分析（PCA）用于揭示位错的主要模式。
对于由26名患者组成的样本，可以证明高重建准确性。段数和缺损长度对重建精度的影响接近常用的显著性阈值(p=0.062/0.060)。PCA显示位移主要是由矢状和横向位移引起的。
CAS是在下颌骨重建中实现高精度的可行方法，GMM可以帮助评估影响重建精度的因素，并揭示在这种情况下的主要脱位模式。
