Academic radiology
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Brain natriuretic peptide (BNP) is a useful biomarker for the assessment of cardiogenic pulmonary edema. This study evaluated the relationship between computed tomography (CT) findings and plasma BNP levels in patients with cardiogenic pulmonary edema. ⋯ Estimating the pleural effusion volume with CT may be a feasible method as well as measuring the plasma BNP level in the assessment of acute cardiogenic pulmonary edema.
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The aim of this study was to identify clinically useful tumor/normal brain apparent diffusion coefficient (ADC) ratios for distinguishing common pediatric cerebellar tumors. ⋯ Tumor/normal brain ADC ratios allow the distinguishing of common pediatric cerebellar tumors.
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To assess the awareness and level of exposure of interventional radiology (IR) among medical students at a Canadian medical school. To understand how IR can be better described and introduced to medical students. ⋯ The knowledge and exposure to IR in medical school is limited. Students were eager to learn more about IR and expressed a desire for more exposure. Early exposure of medical students to IR should be introduced to attract future interventional radiologists as well as increase awareness among future referring physicians.
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Comparative Study
Benefits of 3D rotational DSA compared with 2D DSA in the evaluation of intracranial aneurysm.
The aim of this study was to compare conventional two-dimensional (2D) digital subtraction angiography (DSA) with three-dimensional (3D) rotational DSA in the investigation of intracranial aneurysm in terms of detection, size measurement, neck diameter, neck delineation, and relationship with surrounding vessels. A further aim was to compare radiation dose, contrast volume, and procedural time between the two protocols. ⋯ Three-dimensional DSA improves the detection and delineation of intracranial aneurysms, with lower radiation dose, less contrast use, and shorter procedural time compared to 2D DSA. The size of the aneurysm neck on 3D DSA tended to be larger than on 2D DSA.
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Segmentation of the left ventricle (LV) is very important in the assessment of cardiac functional parameters. The aim of this study is to develop a novel and robust algorithm which can improve the accuracy of automatic LV segmentation on short-axis cardiac magnetic resonance images (MRI). ⋯ An automatic method using topological stable-state thresholding and region restricted dynamic programming has been proposed to segment left ventricle in short-axis cardiac MRI. Evaluation results indicate that the proposed segmentation method can improve the accuracy and robust of left ventricle segmentation. The proposed segmentation approach shows the better performance and has great potential in improving the accuracy of computer-aided diagnosis systems in cardiovascular diseases.