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    Effect of Balloon Khphoplasty Treatment for Osteoporotic Vertebral Fracture on Spinal Balance
    (2023) Yücel, Engin; Akyuva, Yener
    Introduction: Osteoporotic vertebral fractures and spinal degeneration are common consequences of aging, and co-occurrence of these two pathologies can impair spinal balance leading to development of further deformities. The most common treatment measure for osteoporotic vertebral fractures is percutaneous balloon kyphoplasty which can potentially improve spinal balance along the sagittal and coronal planes. However, there is limited evidence in support of this issue to date. Materials and Methods: This study included 49 patients (27 males, 22 females) who were diagnosed with osteoporotic vertebral fracture. The patients were evaluated preoperatively and one year postoperatively using threedimensional thoracolumbar computed tomography scans. The lumbar lordosis and sacral slope angle were used to assess the sagittal plane, while coronal plane assessment was carried out using Cobb’s angle. The angle values before and after treatment were compared statistically. Results: The mean age of the study participants was 72.16 years (range: 61– 94 years), and 28.6% and 71.4% of the patients exhibited thoracic and lumbar vertebral fractures, respectively. Moreover, 19 patients exhibited spontaneous or minor traumatic vertebral fractures, and 16 patients diagnosed with degenerative scoliosis exhibited a significant improvement in Cobb’s angle after treatment. The comparison of pre-and postoperative mean sacral slope and lumbar lordosis angles showed an increase in both values and these differences, although not statistically significant, in agreement with previous literature. Conclusion: Percutaneous balloon kyphoplasty has become an increasingly popular treatment measure for osteoporotic vertebral fracture due to its ability to effectively correct spinal imbalance in patients. © 2023, Turkish Geriatrics Society. All rights reserved.
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    Is there a correlation between dominant extremity and cervical disc herniation using machine learning methods?
    (Ondokuz Mayis Universitesi, 2023) Yücel, Engin; Akyuva, Yener
    We aimed to investigate the possibility of determining the relationship between the dominant extremity and cervical disc herniation using a machine learning approach. A total of 561 patients diagnosed with cervical disc herniation were examined for dominant extremity, level and side of cervical disc herniation, and the nature of the herniation (calcified/soft). These patients formed the basis for a two-step machine learning system creation. The first step (included the data of 80% of the patients) focused on determining the type of cervical disc herniation by selecting the top five performing classification models out of 15 different models and tuning the hyperparameters. In the second step, the machine learning system was validated using data from a randomly selected subset of patients (20% of the patients). The study results showed that while most models performed well, the gradient boosting classifier was the most accurate (89.38%) for determining the herniated disc nature. However, for classifying the disc herniation direction, the models did not exhibit strong performance. Thus, machine learning can accurately identify the relationship between cervical disc herniation and dominant extremity with a high degree of accuracy. © 2023 Ondokuz Mayis Universitesi. All rights reserved.