Online survey about the current status of CT protocols in hepatocellular carcinoma (HCC) in the year 2023/2024. Moreover, the usage of structured reporting using LI-RADS and mRECIST was surveyed and the results were compared with a survey from 2020.Radiologists working in outpatient or inpatient care in Germany were invited.
View Article and Find Full Text PDFSesquiterpene lactones (SLs) are a structurally diverse group of secondary metabolites primarily produced by plants, particularly within the Asteraceae family. These compounds play significant roles in plant defense and have been extensively studied for their wide range of biological activities, including antiviral, antimicrobial, anti-inflammatory, and anticancer properties. This review focuses on the biosynthesis, structure-activity relationships, and biological activities of sesquiterpene lactones, with an emphasis on their antiviral potential.
View Article and Find Full Text PDFObjectives: The aim of this study was to investigate the occurrence of motion artifacts and image quality of brain magnetic resonance imaging (MRI) T1-weighted imaging applying 3D motion correction via the Scout Accelerated Motion Estimation and Reduction (SAMER) framework compared with conventional T1-weighted imaging at 1.5 T.
Materials And Methods: A preliminary study involving 14 healthy volunteers assessed the impact of the SAMER framework on induced motion during 3 T MRI scans.
Background: Intrasaccular devices are increasingly used in endovascular therapy of intracranial aneurysms, in particular wide-necked and ruptured aneurysms. The Trenza Embolization Device (TED) is an innovative intrasaccular device for medium- to large-sized aneurysms. Currently, literature about the TED is scarce.
View Article and Find Full Text PDFImproving the accuracy of reference evapotranspiration (RET) estimation is essential for effective water resource management, irrigation planning, and climate change assessments in agricultural systems. The FAO-56 Penman-Monteith (PM-FAO56) model, a widely endorsed approach for RET estimation, often encounters limitations due to the lack of complete meteorological data. This study evaluates the performance of eight empirical models and four machine learning (ML) models, along with their hybrid counterparts, in estimating daily RET within the Gharb and Loukkos irrigated perimeters in Morocco.
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