Background: In the inflammatory process of multiple sclerosis (MS) several toxic waste products are generated. The clearance of these products might depend on the glymphatic system; however, it's preserved function in MS is uncertain. Recently, it was suggested that this 'waste clearance' system can be examined by measuring the diffusion along the perivascular space (ALPS) index.
View Article and Find Full Text PDFBackground: RefluxStop is a unique implant for laparoscopic treatment of gastroesophageal reflux disease (GERD). It restores normal function of the gastroesophageal junction without the unwanted effects of encircling the esophagus, circumventing adverse events (AEs) associated with conventional anti-reflux surgeries.
Methods: Three-year follow-up of 50 patients with chronic GERD treated by RefluxStop was achieved in a prospective, single-arm, multicentric clinical trial analyzing safety and effectiveness of the procedure.
Introduction: Natalizumab (NAT), a highly effective disease modifying therapy (DMT) in relapsing-remitting multiple sclerosis (RRMS), was approved for clinical use in Hungary on February 1, 2010. In this study we aimed to assess its effectiveness in view of the concept of "No Evidence of Disease Activity" (NEDA-3), furthermore evaluate its effect on limb function, pathopsychological symptoms (cognition, fatigue, depression) and quality of life (QoL).
Patients And Methods: From February 1, 2010, to December 1, 2022, 121 eligible patients were consecutively enrolled from the MS center of the University of Szeged, Hungary.
Objectives: Hearing implants often limit the assessment of magnetic resonance examinations due to susceptibility artefacts. Our aim was to evaluate the impact of artefacts attributed to the Osia®2 implant system in terms of utility in visualizing selected cranial structures.
Methods: A BI300 implant and an OSI200 actuator were implanted into a human cadaver head in the audiologically most favourable position according to the manufacturer's guidelines.
Manual segmentations are considered the gold standard for ground truth in machine learning applications. Such tasks are tedious and time-consuming, albeit necessary to train reliable models. In this work, we present a dataset with expert segmentations of the prostatic zones and urethra for 200 randomly selected patients from the PROSTATEx dataset.
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