Validation of the Revised Atlanta Criteria in determining the severity of acute pancreatitis.

Background/aim: Determining the severity of acute pancreatitis (AP) is crucial for patient management. The aim of our study was to assess the accuracy and limitations of the Revised Atlanta Criteria (RAC) in determining the severity of AP.

Materials And Methods: The study was retrospectively conducted on AP patients admitted to the Gastroenterology Department of Sakarya University Faculty of Medicine.

Quality and Reliability Analysis of YouTube Videos on Magnetic Resonance Imaging Claustrophobia.

Aim Magnetic resonance imaging (MRI)-induced anxiety is not infrequent with a reported incidence as high as 37% and the rate of failed MRI imaging due to claustrophobia ranges between 0.5% and 14.5%.

Impact of tonsillectomy on COVID-19 pandemic: an observational study of the incidence and prognosis.

Background: Due to many different reasons such as possible coronavirus colonization in tonsillar tissue, decreased enzymatic antiviral activity, decreased cytokine activity from palatine tonsil tissue and reduced humoral and cellular immune response, tonsillectomy may alter the incidence of Covid-19.

Aims/objectives: To reveal the frequency of Covid-19 in patients who underwent tonsillectomy and to analyze the effect of tonsillectomy on the severity of the disease.

Materials And Methods: Patients aged between 15 and 65 and had a history of tonsillectomy were compared with control group in terms of incidence and severity of Covid-19 disease.

Characteristics and mortality determinants of COVID-19 patients undergoing hemodialysis.

Background/aim: The COVID-19 infection, which started in Wuhan City, China, in December 2019, turned into a pandemic in a very short time, affecting mainly the elderly and those with serious chronic illnesses. COVID-19 infections have been observed to have a high mortality rate, especially in patients undergoing maintenance hemodialysis.

Materials And Methods: Forty-two patients over 18 years of age who underwent a maintenance hemodialysis program at our unit, who tested positive for COVID-19 by PCR from nasopharyngeal swabs, and/or who were observed to have disease-related signs in their CTs were included in the study.

Decision support system for breast lesions via dynamic contrast enhanced magnetic resonance imaging.

The presented study aims to design a computer-aided detection and diagnosis system for breast dynamic contrast enhanced magnetic resonance imaging. In the proposed system, the segmentation task is performed in two stages. The first stage is called breast region segmentation in which adaptive noise filtering, local adaptive thresholding, connected component analysis, integral of horizontal projection, and breast region of interest detection algorithms are applied to the breast images consecutively.