Regression models of teleradiographic parameters according to the Jarabak method in young men and young women with orthognathic occlusion

V. Vakhovskyi, М. Shinkaruk-Dykovytska, V. H. Chaika, O. Likhitskyi, V. Yasko
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Abstract

Obtaining orthognathic occlusion in a patient as a result of treatment is a key goal of any orthodontist. However, the thorny path that both the patient and the doctor must go through involves painstaking work, which primarily begins with planning and choosing a method of orthodontic treatment, predicting and modeling its results. However, the latter is possible only if previously conducted research to determine the normative indicators for a population. The aim of the study was to construct and analyze regression models of teleradiographic parameters according to the Jarabak method in Ukrainian young men and young women with orthognathic occlusion. 49 young men and 76 young women with orthognathic occlusion underwent cephalometric analysis of lateral radiographs according to the modification of the method Jarabak J. R. – Roth-Jarabak, performed using the software OnyxCeph³™. All parameters according to the Jarabak method were divided into three groups: the first group included metric characteristics of the skull, which are used as baseline indicators; to the second group – dental-jaw in which the skeleton has already been formed and which surgical methods can change the length, width, angles and positions of the upper and lower jaws; to the third group – indicators that characterize the position of each individual tooth relative to each other, cranial structures and the profile of the soft tissues of the face. Construction of regression models of teleradiographic indicators by the Jarabak method was performed in the licensed package “Statistica 6.0” using step-by-step regression analysis. When modeling teleradiographic parameters according to the Jarabak method, which were included in the second group, depending on the indicators of the first group in young men with orthognathic occlusion, 8 out of 19 possible reliable regression models with a coefficient of determination greater than 0.5 (R2= from 0.589 to 0.950) were constructed. The constructed equations most often include the value of the angle N-S-Ar and the distances Ar-Go and N-S. In young women with orthognathic occlusion, 6 reliable regression models of the second group were constructed depending on the indicators of the first group (R2= from 0.609 to 0.971). The constructed equations most often include the value of the distances Ar-Go, S-Ar, N-S and the angle N-S-Ar. When modeling teleradiographic indicators included in the third group, depending on the indicators of the first and second groups in young men, 5 out of 8 possible reliable regression models with a coefficient of determination greater than 0.5 (R2= from 0.658 to 0.751) were constructed. The constructed equations most often include the values of the angles N-A-Pog, N-Go-Gn, S-N-B and A-N-B. In young women with orthognathic occlusion, 6 reliable regression models of the third group were constructed depending on the indicators of the first and second groups (R2= from 0.509 to 0.772). The constructed regression equations most often include the value of the angles N-A-Pog, A-N-B, S-Ar-Go, S-N-A and the ratio Go_Me:N-S. The obtained models will allow orthodontists to automatically calculate the required cephalometric parameters.
青年男女正颌咬合患者的Jarabak法远放射学参数回归模型
作为治疗的结果,获得患者的正颌咬合是任何正畸医生的关键目标。然而,病人和医生必须经历的艰难道路包括艰苦的工作,主要是从计划和选择一种正畸治疗方法开始,预测和模拟其结果。但是,后者只有在事先进行研究以确定人口的规范性指标的情况下才有可能。本研究的目的是根据Jarabak方法构建并分析乌克兰青年男女正颌咬合的遥放射学参数回归模型。根据Jarabak J. R. - Roth-Jarabak方法的改进,使用OnyxCeph³™软件对正颌咬合的49名年轻男性和76名年轻女性进行了侧位x线片的头部测量分析。根据Jarabak方法将所有参数分为三组:第一组包括颅骨的度量特征,作为基线指标;第二种是牙颌,其骨骼已经形成,手术方法可以改变上下颌的长度、宽度、角度和位置;第三组-表征每颗牙齿相对位置的指标,颅结构和面部软组织的轮廓。在许可软件包“Statistica 6.0”中采用逐步回归分析方法,用Jarabak方法构建遥放射学指标的回归模型。根据Jarabak方法对第二组的遥放射学参数进行建模时,根据第一组青年正颌咬合男性的指标,构建了19个可能可靠的回归模型,其中8个模型的决定系数大于0.5 (R2= 0.589 ~ 0.950)。所构建的方程通常包括角度N-S- ar的值以及Ar-Go和N-S的距离。在年轻女性正颌咬合患者中,以第一组指标为基础,构建第二组6个可靠回归模型(R2= 0.609 ~ 0.971)。构造的方程通常包括距离Ar-Go, S-Ar, N-S和角度N-S- ar的值。在对第三组遥放射学指标进行建模时,根据第一组和第二组青年男性的指标,在8个可能的可靠回归模型中,构建了5个决定系数大于0.5 (R2= 0.658 ~ 0.751)的回归模型。所构造的方程通常包括角度N-A-Pog、N-Go-Gn、S-N-B和A-N-B的值。在年轻女性正颌咬合患者中,根据第一组和第二组指标构建第三组6个可靠回归模型(R2= 0.509 ~ 0.772)。所构建的回归方程通常包括角度N-A-Pog、A-N-B、S-Ar-Go、S-N-A的值以及比值Go_Me:N-S。获得的模型将允许正畸医生自动计算所需的头侧测量参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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