Frutos-Valle Leixuri de, Martín Conchita, Alarcón José Antonio, Palma-Fernández Juan Carlos, Ortega Ricardo, Iglesias-Linares Alejandro
Section of Orthodontics, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.
BIOCRAN (Craniofacial Biology) Research Group, Complutense University, 28040 Madrid, Spain.
J Clin Med. 2020 Sep 22;9(9):3048. doi: 10.3390/jcm9093048.
Current phenotypic characterizations of Class III malocclusion are influenced more by gender or ethnic origin than by raw linear skeletal measurements. The aim of the present research is to develop a Class III skeletal malocclusion sub-phenotype characterization based on proportional cranial measurements using principal component analysis and cluster analysis. Radiometric data from 212 adult subjects (115 women and 96 men) of southern European origin affected by Class III skeletal malocclusion were analyzed. A total of 120 measurements were made, 26 were proportional skeletal measurements, which were used to perform principal component analysis and subsequent cluster analysis. The remaining 94 supplementary measurements were used for a greater description of the identified clusters. Principal component analysis established eight principal components that explained 85.1% of the total variance. The first three principal components explained 51.4% of the variance and described mandibular proportions, anterior facial height proportions, and posterior-anterior cranial proportions. Cluster analysis established four phenotypic subgroups, representing 18.4% (C1), 20.75% (C2), 38.68% (C3), and 22.17% (C4) of the sample. A new sub-clustering of skeletal Class III malocclusions that avoids gender influence is provided. Our results improve clinicians' resources for Class III malocclusion and could improve the diagnostic and treatment approaches for this malocclusion.
目前,III类错牙合畸形的表型特征更多地受性别或种族起源的影响,而非原始线性骨骼测量值。本研究的目的是基于比例颅骨测量,运用主成分分析和聚类分析,开发一种III类骨骼错牙合畸形的亚表型特征。分析了来自南欧的212名受III类骨骼错牙合畸形影响的成年受试者(115名女性和96名男性)的放射测量数据。总共进行了120项测量,其中26项是比例骨骼测量,用于进行主成分分析和后续的聚类分析。其余94项补充测量用于更详细地描述所识别的聚类。主成分分析确定了八个主成分,解释了总方差的85.1%。前三个主成分解释了51.4%的方差,描述了下颌比例、面部前部高度比例和颅后-前比例。聚类分析确定了四个表型亚组,分别占样本的18.4%(C1)、20.75%(C2)、38.68%(C3)和22.17%(C4)。提供了一种新的III类骨骼错牙合畸形亚聚类方法,避免了性别影响。我们的结果改善了临床医生针对III类错牙合畸形的资源,并可能改善这种错牙合畸形的诊断和治疗方法。