Ajmera Deepal Haresh, Zhang Congyi, Ng Janson Hoi Hei, Hsung Richard Tai-Chiu, Lam Walter Yu Hang, Wang Wenping, Leung Yiu Yan, Khambay Balvinder S, Gu Min
Discipline of Orthodontics, Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, the University of Hong Kong, Hong Kong SAR, China.
Department of Computer Science, The University of Hong Kong, Hong Kong SAR, China.
Clin Oral Investig. 2023 Oct;27(10):5813-5826. doi: 10.1007/s00784-023-05193-x. Epub 2023 Aug 24.
To evaluate the outcomes of corrective surgical treatment for craniofacial asymmetry using four different methods with the aim of developing the best technique for craniofacial asymmetry assessment.
CBCT images of twenty-one class III subjects with surgically corrected craniofacial asymmetry and twenty-one matched controls were analyzed. Twenty-seven hard tissue landmarks were used to quantify asymmetry using the following methodologies: the asymmetry index (AI), asymmetry scores based on the clinically derived midline (CM), Procrustes analysis (PA), and modified Procrustes analysis (MPA).
Modified Procrustes analysis successfully identified pre-operative asymmetry and revealed severe asymmetry at the mandibular regions compared to controls, which was comparable to the asymmetry index and clinically derived midline methods, while Procrustes analysis masked the asymmetric characteristics. Likewise, when comparing the post-surgical outcomes, modified Procrustes analysis not only efficiently determined the changes evidencing decrease in facial asymmetry but also revealed significant residual asymmetry in the mandible, which was congruent with the asymmetry index and clinically derived midline methods but contradictory to the results shown by Procrustes analysis.
In terms of quantifying cranio-facial asymmetry, modified Procrustes analysis has evidenced to produce promising results that were comparable to the asymmetry index and the clinically derived midline, making it a more viable option for craniofacial asymmetry assessment.
Modified Procrustes analysis is proficient in evaluating cranio-facial asymmetry with more valid clinical representation and has potential applications in assessing asymmetry in a wide spectrum of patients, including syndromic patients.
采用四种不同方法评估颅面不对称矫正手术治疗的效果,旨在开发颅面不对称评估的最佳技术。
分析了21例接受手术矫正颅面不对称的III类患者及21例匹配对照的CBCT图像。使用27个硬组织标志点,采用以下方法量化不对称性:不对称指数(AI)、基于临床中线(CM)的不对称评分、普氏分析(PA)和改良普氏分析(MPA)。
改良普氏分析成功识别出术前不对称性,并显示与对照组相比下颌区域存在严重不对称,这与不对称指数和临床中线法相当,而普氏分析掩盖了不对称特征。同样,在比较术后结果时,改良普氏分析不仅有效地确定了面部不对称性降低的变化,还揭示了下颌骨存在明显的残余不对称,这与不对称指数和临床中线法一致,但与普氏分析显示的结果相矛盾。
在量化颅面不对称方面,改良普氏分析已证明能产生与不对称指数和临床中线相当的有前景的结果,使其成为颅面不对称评估更可行的选择。
改良普氏分析擅长以更有效的临床表征评估颅面不对称,在评估包括综合征患者在内的广泛患者的不对称性方面具有潜在应用。