Browsing by Author "Karavas, Erdal"
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Pubmed Are we aware of radiation: A study about necessity of diagnostic X-ray exposure.(2022-07-20T00:00:00Z) Karavas, Erdal; Ece, Bunyamin; Aydın, Sonay; Kocak, Mehmet; Cosgun, Zeliha; Bostanci, Isil Esen; Kantarci, MecitTotal exposure to ionizing radiation has nearly doubled in the last two decades. This increase is primarily due to increased computed tomography (CT) exposure. Concerns have been raised about the risks associated with patients' exposure to medical imaging radiation, which can increase a person's lifetime risk of developing cancer. Preventing unnecessary examinations becomes critical at this point. To avoid unnecessary examinations, it is necessary to understand the demanding process.Pubmed Quantitative Analysis of Supraspinatus Tendon Pathologies via T2/T2* Mapping Techniques with 1.5 T MRI.(2023-07-30) Ece, Bunyamin; Yigit, Hasan; Ergun, Elif; Koseoglu, Enver Necip; Karavas, Erdal; Aydin, Sonay; Kosar, Pinar NercisThe aim of this study was to quantitatively assess supraspinatus tendon pathologies with T2/T2* mapping techniques, which are sensitive to biochemical changes. Conventional magnetic resonance imaging (MRI) and T2/T2* mapping techniques were applied to 41 patients with shoulder pathology, and there were also 20 asymptomatic cases included. The patients were divided into two groups: tendinosis and rupture. The supraspinatus tendon was divided into medial, middle, and lateral sub-regions, and the T2/T2* values were measured in both the coronal and sagittal planes for intergroup comparison. Intra-class and inter-class correlation coefficients (ICCs) were calculated to assess test reproducibility. Receiver operating characteristic (ROC) analysis was used to determine the cut-off value in each group. A total of 61 patients (27 males and 34 females)-including 20 asymptomatic individuals, 20 with tendinosis, and 21 with rupture-were evaluated using T2/T2* mapping techniques. In the rupture group, there were significant differences in the values of the lateral region ( < 0.001), as well as in the middle and medial regions ( < 0.05) of the supraspinatus tendon compared to the tendinosis and asymptomatic groups. These were determined using both T2* and T2 mapping in both the coronal and sagittal plane measurements. In the tendinosis group, there were significant differences in the values of the lateral region with T2* mapping ( < 0.001) in both the coronal and sagittal planes, and also with the T2 mapping in the coronal plane ( < 0.05) compared to the asymptomatic groups. The cut-off values for identifying supraspinatus pathology ranged from 85% to 90% for T2 measurements and above 90% for T2* measurements in both planes of the lateral section. The ICC values showed excellent reliability (ICC > 0.75) for all groups. In conclusion, T2 and T2* mapping techniques with 1.5 T MRI can be used to assess tendon rupture and tendinosis pathologies in the supraspinatus tendon. For an accurate evaluation, measurements from the lateral region in both the coronal and sagittal planes are more decisive.Pubmed Sonographic findings of COVID-19 related acute scrotal infection and associations with clinical-laboratory data.(2022-11-01T00:00:00Z) Aydin, Sonay; Tokur, Oğuzhan; Kazci, Omer; Ece, Bunyamin; Karavas, Erdal; Kantarci, MecitDuring the Coronavirus Disease 2019 (COVID-19) pandemic, patients present to hospitals with a wide range of symptoms. Some of these symptoms include acute orchitis and epididymitis. The goal of this research is to see if COVID-19 infection and scrotal infection are associated.Pubmed Type 2 dynamic curves: A diagnostic dilemma.(2022-07-28T00:00:00Z) Karavas, Erdal; Ece, Bunyamin; Aydın, SonayMagnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection.