Current Medical Imaging - Volume 19, Issue 4, 2023

Deep learning is a prominent method for automatic detection of COVID-19 disease using a medical dataset. This paper aims to give a perspective on the data insufficiency issue that exists in COVID-19 detection associated with deep learning. The extensive study of the available datasets comprising CT and X-ray images is presented in this paper, which can be very much useful in the context of a deep learning framework Read More

Aim: This review was conducted to assess the structural and functional brain changes associated with vitamin B12 deficiency in different age groups using MRI. Methods: PubMed, Embase, Medline, CINAHL, Scopus, Web of Science, and Google Scholar were searched for magnetic resonance imaging (MRI) studies that explored structural and functional brain changes associated with vitamin B12 deficiency in differen Read More

Background: The lung is one of the major organs affected by the SARS-CoV-2 virus. Lung CT scan and RT-PCR are the most valuable diagnostic methods in the early diagnosis and management of COVID-19. Due to the possible inconsistency of the false-negative results for the RT-PCR test, in our study, we aimed to evaluate the sensitivity and specificity of lung CT-scan as an accurate diagnostic method of COVID-19. Methods: I Read More

Background: The new global pandemic caused by the 2019 novel coronavirus (COVID-19), novel coronavirus pneumonia, has spread rapidly around the world, causing enormous damage to daily life, public health security, and the global economy. Early detection and treatment of COVID-19 infected patients are critical to prevent the further spread of the epidemic. However, existing detection methods are unable to rapidly d Read More

Background: In the series of improved versions of U-Net, while the segmentation accuracy continues to improve, the number of parameters does not change, which makes the hardware required for training expensive, thus affecting the speed of training convergence. Objective: The objective of this study is to propose a lightweight U-Net to balance the relationship between the parameters and the segmentation accuracy. Meth Read More

Background: Airway segmentation is a way to quantify the diagnosis of pulmonary diseases, including chronic obstructive problems and bronchiectasis. Manual analysis by radiologists is a challenging task due to the complex airway structure. Additionally, tree-like patterns, varied shapes, sizes, and intensity make the manual airway segmentation task more complex. Deeper airways are even more difficult to segm Read More

Background: Correct delineation of organs at risk (OARs) is an important step for radiotherapy and it is also a time-consuming process that depends on many factors. Objective: An automatic quality assurance (QA) method based on deep learning (DL) was proposed to improve efficiency for detecting contouring errors of OARs. Materials and Methods: A total of 180 planning CT scan sets at the pelvic site and the correspon Read More

Objective: The study aims to conduct lung cancer screening by low-dose CT to identify the nature of the pulmonary nodule. The purpose of this study was to evaluate the role of preoperative medical EC glue localization of pulmonary nodules of uncertain nature by minimally invasive surgical resection. Methods: From December 2017 to December 2019, 18 patients (12 women, 6 men; median age: 54 years)with pulmonary no Read More

Background: Behçet's disease is a chronic inflammatory disease that involves systemic organs and vascular structures. Arterial system involvement is rarer than the venous system, and it is one of the major causes of death. Vertebral artery (VA) involvement is rare and there are a limited number of reported cases in the literature. This report aimed to present the imaging findings of a case of Behçet's disease with a giant Read More

Background: Varicella-zoster virus (VZV) is a latent virus that can remain in the central nervous system. Reactivation of the virus can cause some neurologic manifestations, and myelitis is one of the rarest of them. In this report, we aimed to present the MRI features of long-segment cervical myelitis after VZV infection, which is rarely reported in the literature. Case Presentation: A 69-year-old patient, who was diagnosed with Read More

Background: Umbilical vein catheterization (UVC) is an early venous access route in newborns and is frequently used for delivering total parenteral nutrition (TPN) and medications. Vascular, hepatic parenchymal, and infectious complications of UVC can be seen rarely. Objective: We present preterm neonates' X-ray, US, and MRI findings with parenchymal TPN extravasation and portal vein thrombosis. Our case was the first c Read More

Introduction: Transthyretin amyloid cardiomyopathy was considered a rare pathology. However, recent studies show a significant prevalence in patients with degenerative aortic stenosis and heart failure with preserved ejection fraction. Case Presentation: An 85-year-old woman presented with a four-month history of pain in the rib cage with a history of diffuse large B-cell lymphoma of the oral cavity, essential thrombocyto Read More

Introduction: Extrauterine endometrial stromal sarcoma (EESS) arising from Deep pelvic endometriosis (DPE) has a poor life quality and is difficult to diagnose pre-operatively. However, the patient’s quality of life can be improved when it is diagnosed precisely and managed successfully. Case Report: A 35-year-old woman presented to our hospital with a 3-month history of hematochezia and anal pain. Initially, she was misdiag Read More

Introduction: Anomalous pulmonary venous connection is a rare congenital variant of the pulmonary veins drained into the right atrium. The left-side partial anomalous pulmonary connections are usually detected in adulthood and occasionally drain into the left brachiocephalic vein. Case Description: An asymptomatic 63-year-old woman with a known history of left carotid body paraganglioma was admitted to our institutio Read More