Browsing by Author "Cevikol, Can"

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Evaluation of the Relationship Between Abdominal Fat Distribution and Osteoporotic Vertebral Compression Fracture With Mri
(Springer, 2023) Gurbuz, Ahmet Faruk; Keven, Ayse; Elasan, Sadi; Cevikol, Can
ObjectiveThis study was carried out to investigate the effects of abdominal subcutaneous adiposity and visceral adiposity on osteoporotic compression fractures. Material and methodsThe study group consisted of a total of 152 individuals aged 50-80 years; 76 were included in the vertebral fracture group and 76 in the healthy control group, whose bone mineral density was calculated. In order to determine the distribution of abdominal fat in both groups, four different measurements, i.e., sagittal abdominal diameter (SAD), abdominal diameter (AD), ventral subcutaneous thickness (VST), and dorsal subcutaneous thickness (DST), were made using lumbar magnetic resonance imaging (MRI). The visceral fat ratio (VFR) was also calculated based on these measurements. ResultsThere was a significant difference between the patient and control groups in VST and DST values, both when gender distribution was and was not taken into account (p < 0.006 for all cases). There was no significant difference between the patient and control groups in SAD and AS values, both when only female patients were considered, and gender distribution was not taken into account (p > 0.25 for all cases). On the other hand, in the analysis, when only male patients were considered, the SAD and AD values of the patient group were found to be significantly lower than those of the control group (p = 0.046 and p = 0.048, respectively). ConclusionIn conclusion, the study findings indicated that high SAD values in the male gender and high VST and DST values in both genders were associated with low lumbar vertebral fracture risk.
MRI Spondylodiscitis Severity Index: A Novel Scoring System Based on Contrast-Enhanced MRI of the Spine for Predicting the Clinical Course and Severity of Pyogenic Spondylodiscitis
(Springer, 2025) Gurbuz, Ahmet Faruk; Keven, Ayse; Cinar, Ece; Elasan, Sadi; Cevikol, Can
ObjectiveThis study aimed to validate a new MRI-based scoring system for pyogenic spondylodiscitis (PS) using contrast-enhanced MRI at admission. The system was designed to classify disease severity and provide a quantifiable tool for risk stratification and treatment planning.Materials and methodsWe retrospectively analysed 60 patients with clinically and laboratory-confirmed PS at a single tertiary hospital between September 2016 and September 2024. A novel scoring system, the MRI-SSI, evaluated vertebral destruction, signal abnormalities, endplate erosion, and epidural or paravertebral extension. The scores (0-9, 10-19, >= 20) categorised disease as mild, moderate, or severe. Two experienced radiologists scored the images, and we recorded hospitalisation duration and the need for surgery. Statistical analysis included independent samples t-tests, ANOVA, and interobserver agreement was assessed using Cohen's kappa and intraclass correlation coefficients (ICCs).ResultsOf the 60 patients, 17 (28.3%) required surgical intervention. Patients needing surgery had significantly higher MRI-SSI scores than those managed conservatively (18.58 vs. 13.86; p = 0.004). The scoring system had a strong predictive value for surgical requirement (AUC = 0.720), with 58% sensitivity and 88% specificity. Interobserver agreement for the total MRI-SSI score was excellent (ICC = 0.906).ConclusionThe MRI-SSI accurately predicted hospitalisation duration and surgical needs in PS patients. This tool, based solely on admission MRI findings, can refine initial treatment decisions, leading to more targeted resource utilisation and improved overall patient outcomes.