Browsing by Author "Ayyildiz, V.A."
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Article Can Computerized Tomography Hounsfield Unit Values Be Useful in the Differential Diagnosis of Pleural Effusion(Tabriz University of Medical Sciences, 2020) Durmaz, F.; Ozgokce, M.; Ayyildiz, V.A.; Cilingir, B.M.; Goya, C.Introduction: We aimed to investigate the efficacy of Hounsfield unit (HU) attenuation measured on computed tomography (CT) as a non-invasive method for pleural effusion characterization. Methods: Patients with pleural effusion who underwent thoracic CT imaging and thoracentesis within a maximum of three days were included in this retrospective study (15 transudate and 36 exudate). By drawing a circular region of interest (ROI) on the section with the thickest pleural effusion in terms of anteroposterior diameter in the upper-medial-lower zone on axial images, a total of three HU values, one from each level, were averaged. An independent t-test was applied to the CT attenuation (HU) values for the transudate-exudate differentiation. A receiver operating characteristic (ROC) analysis was then made. Results: The mean attenuation±standard deviation (minimum-maximum) value for the patients with transudate was 2.17±3.76 ((-7.5)-7.5) HU, whereas the mean HU value for the patients with exudate was 8.38±6.2 ((-6)-22). The independent t test made for the transudate-exudate differentiation revealed a statistically significant difference (P=0.001). In the ROC analysis carried out to determine the cut-off value of the attenuation value of pleural effusion in the transudate-exudate differentiation, the area under the curve was found to be 82.8%. When the cut-off value was taken as 2.75HU for the area under the curve, sensitivity was found to be 84%, and specificity was 60%. Conclusion: Although CT-HU values are statistically significant in the differential diagnosis of transudate-exudate, there is still a need to establish a correlation with other tomographic findings and clinical laboratory findings. © 2020 The Author(s).Article Radiological Appearance of Hiatal Hernias on Computed Tomography(Yuzuncu Yil Universitesi Tip Fakultesi, 2022) Ayyildiz, V.A.; Özgökçe, M.; Türkoğlu, S.; Dündar, I.; Durmaz, F.; Özkaçmaz, S.; Türko, E.A hiatal hernia is the herniation of organs and structures in the abdominal cavity through the esophageal opening of the diaphragm. We aimed to present the tomographic findings of hiatal hernia types. The computed tomography (CT) images and demographic characteristics of the patients diagnosed with hiatal hernias based on contrast-enhanced and/or non-contrast thorax-abdominal CT scan between January 2016 and December 2019 were retrospectively reviewed (Material & Method shortened in abstract.). Oral contrast material wasn’t given to the patients. (Added) 210 patients with hiatal hernias, 126 (60%) were female and 84 (40%) were male. Among these patients, 124 (59 %) had type 1, 76 (36 %) had type 2, nine (4.2 %) had type 3, and one (0.4 %) had type 4 hiatal hernia. The most common complaints were cough (64%) and mild shortness of breath (34%). The most common clinical signs seen in the majority of patients were weight loss (73%) and loss of appetite (41%). All of the cases were mainly diagnosed based on radiological (CT) findings. With the increase in the use of CT for thoracic and abdominal diseases, there has been an increase in the frequency of incidental detection of hiatal hernias. Hernia diagnosis is important for preoperative surgical planning. Radiologists should be aware that complications of hiatal hernia can cause morbidity and mortality. The best diagnosis method is considered as CT, which is also useful in determining the type of hiatal hernias. © 2022, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.Article Radiological Tips on Safe Tract Selection in Computed Tomography-Guided Transthoracic Biopsy: Single-Center Results(Tabriz University of Medical Sciences, 2024) Koca, H.; Özgökçe, M.; Akinci, M.B.; Durmaz, F.; Ayyildiz, V.A.; Özkaçmaz, S.; Göya, C.Introduction: The vast majority of lung masses are malignant. Benign lung masses include granulomatous inflammation and pneumonia consolidations. Malignant lung masses include lung cancers, lymphoma, and thymic neoplasms. Differentiating benign-malignant lung masses and treatment planning are essential for the prognosis of patients. Computed tomography (CT) guided transthoracic lung biopsy is a reliable diagnostic method with high accuracy and relatively few complications when an appropriate trace is selected. In this study, we aimed to present our experience and the results of lung mass cases that we biopsied with the guidance of CT. Methods: A total of 57 patients who were referred to us for clinicoradiological transthoracic biopsy (TTB) were studied with CT-guided histopathological sampling. The study did not include patients with no pathology results and ultrasound-guided biopsy. Results: A total of 57 patients, 42 male (73.6%) and 15 female (26.4%) with a mean age of 59.05 ± 17.04 (1-85), were evaluated. Thirteen of the lesions were reported as benign (22.8%), and 44 as malignant (77.2%). Conclusion: When an appropriate trace is selected, CT-guided transthoracic lung biopsy is a reliable diagnostic method with high accuracy and relatively few complications. © 2024 The Author(s).