Analysis of radiological measurement parameters that can predict the type of treatment to be applied in odontoid fractures: Clinical research
Year: 2023
Type: article
Abstract: Introduction: Although various conservative and surgical treatment methods have been proposed, treatment options for patients with odontoid fractures remain controversial. This study was conducted to determine some demographic and radiological measurement parameters that can predict treatment options in patients with odontoid fractures. Materials and Methods: = 10). Patient data were recorded of age, gender, type of odontoid fracture, morphological measurement results obtained from computed tomography images, treatment regimens, duration of stay in the hospital, and mortality rate. In the operating room, a halo-vest corset or Philadelphia-type cervical collar was applied to the surgery (-) patients after the reduction of the fracture under fluoroscopy. Anterior odontoid lag screw fixation was performed on surgery (+) patients. Results: The amount of displacement of the fractured odontoid, the distance between the C1 vertebra and the odontoid process, the angle between the posterior wall of the odontoid process and the posterior wall of the clivus, the slip angle, and the anterior to posterior width of the spinal canal were not different between the groups. No difference was determined between the groups in respect of the amount of lateral displacement of the odontoid process in the spinal canal in the axial plane and the angle of the fractured odontoid process with the C2 vertebral body. Conclusion: This preliminary study showed that the demographic data and radiological measurement parameters analyzed in the present study could not be used as predictive markers either in decision-making for treatment modality or mortality risk.
Authors: Mustafa Ogden, Ahmet Melih Erdogan, Mustafa Ilker Karagedik, Selcuk Baser, Ibrahim Umud Bulut, Ozge Sevimoglu, Ulas Yuksel, Bulent Bakar
Institution: Kırıkkale University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4386834083