In this case report, we present a 63-year-old man with a history of diabetes mellitus and kidney transplantation who was diagnosed with nasal myiasis. The patient presented with symptoms of nasal myiasis infestation, including epistaxis, nasal obstruction, nasal discharge, and the presence of larvae. The patient had risk factors for poor wound healing, such as hyperglycemia, and the presence of diabetes mellitus, hypertension, and kidney transplantation indicated the presence of predisposing factors for myiasis.
View Article and Find Full Text PDFObjective: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.
Methods: The study sample included 1167 hips. The radiographs were independently classified into 6 stages by a radiologist using their simultaneous MRIs.
Background: The role of chest computed tomography (CT) to diagnose coronavirus disease 2019 (COVID-19) is still an open field to be explored. The aim of this study was to apply the decision tree (DT) model to predict critical or non-critical status of patients infected with COVID-19 based on available information on non-contrast CT scans.
Methods: This retrospective study was performed on patients with COVID-19 who underwent chest CT scans.
Magnetic resonance imaging (MRI) is widely used in meningeal lesions due to rapid and accurate diagnosis and prevention of serious complications. The aim of the present study was to compare these two sequences after injection of a contrast agent into meningeal lesions. This is a descriptive-analytical study that was performed in 2018-2020 on patients referred to the radiology ward with detection of any meningeal involvements in the MRI images.
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