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Outcome of acute ischemic stroke with absent opacification of the cervical internal carotid artery at CT-angiography after endovascular treatment.
Neuroradiol J
January 2025
Department of Neuroradiology, Teaching Hospital of Paracelsius Medical University (PMU), Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.
Occlusion of the distal internal carotid artery can simulate a proximal occlusion of its cervical tract on CT angiography in patients with acute ischemic stroke, that is, pseudo-occlusion. As true and false carotid occlusions can present similarly on non-invasive imaging in patients undergoing endovascular treatment for stroke, our study aimed to evaluate clinical and technical differences of these conditions and the possible consequences of a misdiagnosis. We retrospectively reviewed consecutive patients who underwent mechanical thrombectomy for acute ischemic stroke at a single center between July 2015 and May 2022 and included patients with absent opacification of the cervical carotid artery on CT-angiography.
View Article and Find Full Text PDFImpacts of Racket Handle Design on Table Tennis Topspin Forehand Rally Performance Among Beginner Players.
Sports (Basel)
January 2025
Center of Liberal Arts and Science, Sanyo-Onoda City University, Yamaguchi 756-0884, Japan.
Physical inactivity is a major global public health concern, and table tennis offers a low-impact, engaging way to promote physical activity across various age groups. However, many beginners struggle to maintain effective participation due to their lower skill levels. Therefore, the development and reinforcement of stable grip techniques is crucial because it will help beginners achieve sustainable improvements in performance.
View Article and Find Full Text PDFExploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis.
J Imaging
December 2024
Technology Department, CERN, 1211 Geneva, Switzerland.
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts' accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. In this work, we focus on the analysis of the segmentation results of a pre-trained U-net model trained and validated on brain MRI examinations containing four different pathologies: Tumors, Strokes, Multiple Sclerosis (MS), and White Matter Hyperintensities (WMH).
View Article and Find Full Text PDFThe e-STROKE Study: The Design of a Prospective Observational Multicentral Study.
J Cardiovasc Dev Dis
January 2025
Department of Neurology, University Hospital in Ostrava, 70800 Ostrava, Czech Republic.
The e-STROKE study is a prospective, multicenter observational study designed to assess the impact of various CT parameters (including e-ASPECT, CT perfusion (CTP), collateral flow status, and the size and location of the ischemic lesion) on the clinical outcomes of patients with ischemic stroke, as evaluated by the modified Rankins Scale (mRS) three months post-stroke. This study also aims to investigate whether the use of multimodal CT imaging increases the number of patients eligible for recanalization therapy. The analysis will integrate data from the RES-Q registry and radiological data from the e-STROKE system provided by Brainomix Ltd.
View Article and Find Full Text PDFHepatocellular Carcinoma: Imaging Advances in 2024 with a Focus on Magnetic Resonance Imaging.
Curr Oncol
January 2025
Radiology Unit, Morgagni-Pierantoni Hospital, AUSL Romagna, 47122 Forlì, Italy.
The EASL diagnostic algorithm for hepatocellular carcinoma, currently in use, dates back to 2018. While awaiting its update, numerous advancements have emerged in the field of hepatocellular carcinoma imaging. These innovations impact every step of the diagnostic algorithm, from surveillance protocols to diagnostic processes, encompassing aspects preceding a patient's inclusion in surveillance programs as well as the potential applications of imaging after the hepatocellular carcinoma diagnosis.
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