Аннотации:
The study of individual normative cephalometric parameters in individuals of differentsexes and ages is important for the "Cephalometrics for orthognathic surgery method", as it allows to accurately diagnose abnormalities and develop personalized treatmentplans. This contributes to achieving better aesthetic results, reducing the risk ofcomplications and increasing the effectiveness of surgical interventions. Taking intoaccount age, sex, and face type helps predict long-term changes and adapt the treatmentplan to obtain optimal results. In addition, it improves assessment accuracy andstandardizes evidence-based approaches, making it easier to compare results betweenclinics. Thus, individual regulatory parameters are key to successful orthognathic surgery. The purpose of the study is to build and analyze regression models of teleroentgenometricindicators using the "Cephalometrics for orthognathic surgery" method in Ukrainianyoung women with a wide face type. 25 Ukrainian young women with an orthognathic biteand a wide face type underwent a cephalometric study using the "Cephalometrics fororthognathic surgery" (COGS-method) method. For the correct modeling of cephalometricparameters, their division into three groups was applied (Dmitriev M. O., 2016, 2017): thefirst group - basic metric characteristics of the skull; the second group-teleroentgenometric indicators by which it is possible to change the parameters of theupper and lower jaws with the help of orthognathic surgery; the third group - indicators thatcharacterize the position of each tooth relative to each other, cranial structures and theprofile of the soft tissues of the face. Construction of regression models was carried outin the license package "Statistica 6.0". Only reliable models with a coefficient ofdetermination R2 of at least 0.60 were subject to further analysis. It was found that inyoung women with a wide face, using the COGS method, 6 models of teleroentgenometricindicators were built out of 33 possible, which were included in the second and thirdgroups depending on the indicators of the first group (R2= from 0.601 to 0.705, p<0.01-0.001); out of 19 possible, 16 indicator models were built, which were included in the thirdgroup depending on the indicators of the first and second groups (R2= from 0.614 to0.983, p<0.01-0.001). The analysis of the models showed that most often the regressionequations of the indicators included in the second and third groups, depending on theindicators of the first group, include the distance P-PTV and N-СС according to Ricketts,N-Se according to Schwarz, N-S and S-Ar according to Roth-Jarabak, Ar-Pt and Pt-Naccording to the COGS method (7.69 % each), as well as the value of the H anglesaccording to Schwarz and N-S-Ba according to Bjork; and to the indicator models thatwere included in the third group depending on the indicators of the first and secondgroups - the value of the distances ANS-Me, N-B, N-A, N-Pog, B-Pog, N-CC according toRicketts, PNS-N, Ar-Go and ANS-PNS, as well as the magnitude of the angles N-A-Pog, N-S-Ba according to Bjork, MP-HP, as well as Por-NBa according to Ricketts.
