EVALUATION OF THE EFFECTS OF THE VOLUMES OF THE POSTERIOR AND ANTERIOR VERTEBRAL MUSCLES ESTAMAIATED FROM THE COMPUTED TOMOGRAPHY IMAGES ON THE LUMBAR LORDOSIS

Abstract

Aim: This study aims to analyze the relationship between prevertebral and postvertebral muscle volumes comparatively with PAL technique, (projection area per length squared) which is used to calculate the excessive curvature in lumbar region (lumbar lordosis) with quantitative (numerical) data, on radiological images of both genders, and the follow-up of the disease course before and after treatment with numerical data. Material and Methods: CT scan images were collected from Archival System of the Radiological Department of Ondokuz Mayis University Hospital in Samsun, Turkey, and used in this investigation. The data collecting procedure, 62 CT scan images for patients aged from (19 to 84) were obtained in supine position. Two different software are used to in this study, “Osiri X” which enables viewing the files in our image bank. With this software, the images in the files will be displayed in a single window in sagittal, coronal and transverse planes, oriented images were exported to DICOM file, the other application were used called (Image J), by this software the measurements of anterior (psoas major) and posterior (Para spinal, multifidus) muscles volume calculated, furthermore measuring the value of PAL it's also calculated. Results: findings indicated that there is no significant correlation between variables regardless of (Total): anterior volume, posterior volume and PAL. Moreover, there are no statistically significant correlations between anterior volume, posterior volume, and PAL in both genders, according to Pearson test. Conclusion: In line with findings, we think that knowing body mass index, height and weight, activity status and physical conditions, low back pain history and age-related fat changes in muscles volume due to the importance of these factors, and their direct relationship to muscles volume, in subsequent study they will be taken into account to include them with the data.