Modeling of individual teleroentgenometric indicators using the COGS method in Ukrainian young men with a wide face type

Abstract

Annotation. Cephalometric techniques for the analysis of lateral teleroentgenograms, for successful use in orthodontist practice, require a preliminary clinical study, which should include as many healthy individuals as possible from the local population for which this technique will be applied. The purpose of the study is to build and analyze regression models of radio-radiographic parameters used in COGS-methodology in Ukrainian young men with an orthognathic bite with a wide face type. 22 Ukrainian young men with an orthognathic bite and a wide face type underwent a cephalometric study using the COGS method. For the correct modeling of cephalometric characteristics, the division of teleroentgenometric indicators into three groups proposed by M. O. Dmitriev (2016, 2017) was used: the first group is the metric characteristics of the skull, which usually do not change during surgical and orthodontic treatment; the second group – indicators of the maxillofacial system, which can be used to change the width, length, angles and position of the upper and lower jaws with the help of orthognathic surgery; the third group – indicators that actually 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 cephalometric indicators according to the COGS method was carried out in the “Statistica 6.0” license package. It was established that only 4 reliable regression models of teleroentgenometric indicators with a coefficient of determination greater than 0.6 were built using the COGS method for Ukrainian young men with a wide face, which were included in the second and third groups depending on the indicators of the first group (R²= from 0.626 to 0.780 ), as well as 11 reliable models of indicators were built out of 19 possible, which were included in the third group depending on the indicators of the first and second groups (R²= from 0.626 to 0.970). The analysis of the constructed regression equations showed that most often the models of indicators that were included in the second and third groups, depending on the indicators of the first group, include the value of the distances P-PTV (17.64 %) and N-Se (11.76 %) and the value of the angles H (17.64 %) and N-S-Ba (11.76 %); and to the indicator models that were included in the third group depending on the indicators of the first and second groups – the value of the distances ANS-Me (15.00 %), A-B and N-Pog (7.50 % each) and the value of the angles Ar-Go-Gn, H and N-A -Pog (7.50 % each). Further research will make it possible to develop a computer program that will enable dentists to automatically calculate individual normative teleroentgenometric indicators.