Abstract

Objective: to compare the association between visual classification of profile images and lateral cephalometric analysis of anterior malar projection in the population of North Gujrat.
Method: The study comprised the pretreatment data of 100 North Gujarat natives aged 15 to 25 who sought orthodontic treatment. On the basis of visual evaluation of negative and positive vector relationships, the individuals were separated into two groups of 50 each. Group A consisted of 50 individuals (25 males and 25 females) with a positive vector association. Group B consisted of 50 individuals (25 males and 25 females) with a negative vector connection. Statistical analysis was conducted using version 20 of the SPSS software. The statistical significance thresholds were set at P .01 and P .05. Sella-Nasion-Orbitale (SNO) angulations were measured to determine the subject's malar eminence's position relative to the cranial base. The student's t-test was used to analyze gender differences and significant differences in SNO readings between groups A and B. The Karl Pearson correlation test was employed to determine whether or not there was a correlation between the age of the subjects and the SNO angulation. The ROC analysis was performed to determine the threshold value of SNO angulation to distinguish between negative and positive vectors.
Results: Negative vector group SNO angulations were smaller than positive vector group SNO angulations by an average of 8.18°, and the difference was highly significant (P0.001). To discriminate between negative and positive vectors, a cutoff value of SNO angle, namely 56o, with 100 percent specificity and sensitivity was determined. There was no statistically significant association between subject age and SNO angulation, nor was there a statistically significant gender difference.
Conclusions: Compared to those demonstrating a positive vector relationship, those exhibiting a negative vector relationship exhibited significantly less malar support. Visual categorization of anterior malar support on profile images using vector relationships is supported by cephalometricanalysis and can serve as a beneficial tool in orthodontics by providing an easy way to classify midface malar support.