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Öğe Computed tomography analysis of the infraorbital canal and adjacent anatomical structures(Wiley, 2024) Karatağ, Ozan; Güçlü, Oğuz; Özer, Şule; Öztoprak, Bilge; Reşorlu, Mustafa; Öztoprak, İbrahimThis study aimed to investigate the incidence of infraorbital canal (IOC) protrusion into the maxillary sinus via computed tomography (CT) and classify its variations. Additionally, it sought to identify nearby sinonasal variations that might elevate the risk of iatrogenic injury. Paranasal sinus CT of 500 patients was evaluated retrospectively. The IOC types were categorized. The length of the IOC, septum, the distance between the maxillary ostium and IOC (dOI), the presence of Haller cells, IOC-related intra-sinus opacity, and IOC dehiscence were investigated. The prevalence of type 3 IOC was 12%, of which 9.2% were type 3c. The maximum length of the IOC was positively correlated with type 3 IOC. A significant difference was found between IOC types in terms of dOI only on the left side. On both sides, the incidence of Haller cells was greater in patients with type 2 IOC than in those with type 1 and in patients with type 3 IOC than in those with type 2. IOC-related opacity and IOC dehiscence were more common in types 2 and 3 IOCs. The assessment of preoperative IOC types and neighboring anatomical structures by CT imaging is of great significance in preventing iatrogenic damage. This study aimed to investigate the incidence of infraorbital canal (IOC) types and sinonasal variations via computed tomography. The length of the IOC, septum, the distance between the maxillary ostium and IOC (dOI), presence of Haller cells, IOC-related intra-sinus opacity, and IOC dehiscence were also investigated. The CT assessment of preoperative IOC types and neighboring anatomical structures is of great significance in preventing iatrogenic damage.imageÖğe Evaluating the clinical, radiological, microbiological, biochemical parameters and the treatment response in COVID-19 pneumonia(2022) Mutlu, Pınar; Mirici, Nihal Arzu; Gönlügür, Uğur; Öztoprak, Bilge; Özer, Şule; Resorlu, Mustafa; Akçalı, AlperAim: The coronavirus disease (COVID-19) has led to over 200,000,000 confirmed cases and over 4,250,000 confirmed deaths worldwide. The present study aimed to explore the links between epidemiological, clinical, biochemical, microbiological, and radiological data and treatment responses of inpatients with COVID-19 pneumonia. Material and Method: The study included 131 patients hospitalized for COVID-19 pneumonia. Laboratory values such as complete blood count, coagulation profile, AST, LDH, sedimentation, CRP, BUN, creatinine, and D-dimer of the patients were analyzed. The diagnosis of COVID-19 was established by RT-PCR testing of respiratory tract samples. Thoracic CT images were used to determine the severity of involvement in patients. Statistical analyses were performed to establish the differences between the groups and the relationships between the variables. Results: The most common comorbidities of the patients were hypertension (35.1%) and diabetes mellitus (24.5%). The patients with fever, cough, and dyspnea and who were PCR positive had the highest radiological involvement severity score. The involvement severity scores were negatively correlated with the lymphocyte count, lymphocyte percentage, and albumin levels (p<0.05). Concerning prognostic risk factors, the mean percentages of lymphocytes and eosinophils were significantly higher in the fully recovered patients than those in the intensive care unit (p<0.05). Conclusion: Our study identified the percentages of lymphocytes and eosinophils as prognostic factors. Identifying the risk factors that predict the possibility of disease progression on admission may contribute to physicians' patient management, increase the therapeutic effect, and reduce the COVID-19 mortality rate.