Current Medical Imaging - Volume 19, Issue 10, 2023

Background: For almost three decades, computed tomography (CT) has been extensively used in medical diagnosis, which led researchers to conduct linking of CT dose exposure with image quality. Methods: In this study, a systematic review and a meta-analysis study were conducted on CT phantom for resolution study especially based on the low contrast detectability (LCD). Furthermore, the association between the CT p Read More

Background: Liver and tumor segmentation from CT images is a complex and crucial step in achieving full-course adaptive radiotherapy and also plays an essential role in computer-aided clinical diagnosis systems. Deep learning-based methods play an important role in achieving automatic segmentation. Objective: This research aims to improve liver tumor detection performance by proposing a dual path feature extracting Read More

Background: In patients with systemic lupus erythematosus (SLE), myocardial involvement is the third leading course of death after lupus nephropathy (LN) and infections. Previous autopsy studies have demonstrated a high incidence of cardiovascular abnormalities in the myocardium. However, the patients with typical symptoms are far much fewer than expected from post-mortem examinations. Objectives: The curre Read More

Background: For the accurate positioning of surgical tools, conventional intraoperative navigation systems have been developed to recognize the relationship between target positions and the tools. However, since an internal organ is deformed during the operation, registration between realtime two-dimensional (2D) ultrasound images and three-dimensional (3D) CT or MRI images is not always effective. Therefore, this st Read More

Background: 8% of women are diagnosed with breast cancer. (BC) BC is the second most common cause of death in both developed and undeveloped countries. BC is characterized by the mutation of genes, constant pain, changes in the size, color (redness), and skin texture of breasts. Classification of breast cancer leads pathologists to find a systematic and objective prognostic; generally, the most frequent cla Read More

Background: Adaptive radiotherapy (ART) has the potential to reduce the toxicities of radiotherapy and improve overall survival by considering variations in the patient's anatomy during the course of treatment. ART's first commercial solutions are now implemented in clinical radiotherapy departments. However, before they can be used safely with real patients, these solutions must be rigorously evaluated to precisely dete Read More

Objective: The study's goal was to diagnose the condition at an earlier stage by employing the optimization-based technique for image segmentation to find deformities in MRI and Aura images Methods: Our methodology was based on two case studies. The diseased data set of MRI images obtained from the UCI data set and Aura images from Bio-Well were taken into consideration. Using the Relevance Feedback Me Read More

Background: Early and accurate diagnosis is vital for avoiding the development of nondisplaced fractures to displaced fractures. Dual-energy CT (Computed Tomography) can detect bone marrow edema (BME), which may help to detect non-displaced fractures. Aim: To evaluate the value of DECT (Dual-Energy Computed Tomography) VNCa (Virtual noncalcium) images for improving diagnostic performance and confidence in Read More

Objective: This study aimed to establish an academic basis for using a computed tomography (CT) model for predicting osteoporosis in the clinical setting by illustrating the effectiveness of morphometric texture analysis. We introduce texture analysis and quantitative approaches using CT Hounsfield units (HU) to screen osteoporosis. Methods: From March 6th, 2013, to August 11th, 2020, a total of 4,333 cases (1,766 patien Read More

Background: Using a classification network to generate class activation mapping (CAM) is a mainstream method for weakly supervised semantic segmentation. However, for brain tumor images, CAM cannot fit the boundary of the tumor well. Objective: To improve the performance of brain tumor CAM, we propose a weakly supervised learning strategy based on a multi-level sub-category and membership matrix. Methods: Fi Read More

Introduction: Primary epiploic appendagitis, a relatively rare and self-limiting disease, often clinically mimics conditions of the acute abdomen such as acute appendicitis and acute diverticulitis. It is important to make accurate diagnoses because its treatment is conservative. Ultrasonography and computed tomographic studies enable a reliable diagnosis to prevent unnecessary invasive procedures. Herein, we report a case of Read More

Background: Schwannoma, also known as neurinoma, is the most common tumor of the peripheral nerves. Intrascrotal extratesticular schwannoma, which is not associated with schwannomatosis and neurofibromatosis-2, is a very rare entity, and few cases have been reported in the literature. In this paper, we have reported a case of extratesticular schwannoma, an extremely rare cause of scrotal mass, with ultr Read More

Introduction: Emphysematous Osteomyelitis (EO) is an extremely rare bone infection caused by gas-forming bacteria with few documented cases in the literature. Our study aims to highlight characteristic imaging features, including the novel use of positron emission tomographymagnetic resonance imaging (PET-MRI) in diagnosing this potentially fatal entity. Case: Radiography and computed tomography (CT) of the pelvis Read More

Non-Hodgkin's lymphoma and acute myeloid leukemia are both hematological malignancies that rarely coexist at the time of initial diagnosis. We present a case of non-Hodgkin lymphoma and acute myeloid leukemia diagnosed on the first admission. Background: Lymphoma and leukemia, both malignant hematological cancers, are primarily different diseases, with a majority of cases originating independently. The co-occur Read More

Background: Peritoneal loose body (PLB) which is also called "peritoneal mouse" is a rare disease, with only a few cases reported. PLB is mostly found due to unplanned examination, surgery, or autopsy. With the increase in abdominal imaging examinations, it was gradually recognized by us. The diagnosis of PLB has three major characteristics: free movement, no blood supply, and pathological exclusion of other tumors. Case Read More