Background/objectives: MRI is the gold standard for detecting meniscal tears; however, ultrasound may readily detect meniscal changes, obviating the need for MRI. We aim to (1) determine ultrasound sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy in detecting meniscal changes, and (2) describe characteristic meniscal changes in US and their prevalence.
Methods: A retrospective analysis of knee ultrasound scans for the presence of medial and lateral meniscal tears was conducted.
Aim: To determine the occurrence of occupational stress among Palestinian nurses, and their associated sources and risk factors.
Design: A cross-sectional descriptive design.
Methods: A total of 250 registered nurses from eight governmental hospitals, using a convenience sampling method.
Purpose: To determine the feasibility of meniscal imaging using virtual monochromatic images obtained through dualenergy computed tomography (DECT) technique, and to determine which keV levels optimise contrast resolution.
Material And Methods: All DECT exams were performed on a Discovery CT750 HD system from GE Healthcare. Virtual monochromatic images were reconstructed at 40 keV, 73 keV, 106 keV, and 139 keV.