Perfusion image-aided treatment decision for acute ischemic stroke: validation of a clinical decision support system.

Introduction: Our collaborative team has previously developed a prognostic model for acute ischemic stroke (AIS). This model, known as the clinical decision support system (CDSS), aims to provide personalized assistance to clinicians in making treatment decisions and improving patient prognosis. The objective of this study was to externally validate the model using Chinese AIS patients.

Characterisation of Platelet Releasate Proteome in Relapsing-Remitting Multiple Sclerosis Reveals Dysregulation of Inflammatory Signalling and Extracellular Vesicle Dynamics.

Purpose: Multiple Sclerosis is an inflammatory neurodegenerative disease characterised by blood-brain barrier dysfunction and leukocyte infiltration into the CNS. Platelets are best known for their contributions to haemostasis, however, upon activation, platelets release an abundance of soluble and vesicular-associated proteins, termed the platelet releasate (PR). This milieu contains numerous inflammatory and vasoactive proteins, that can attract leukocytes and alter endothelial permeability.

A deep learning approach versus expert clinician panel in the classification of posterior circulation infarction.

Background: Posterior circulation infarction (POCI) is common. Imaging techniques such as non-contrast-CT (NCCT) and diffusion-weighted-magnetic-resonance-imaging commonly fail to detect hyperacute POCI. Studies suggest expert inspection of Computed Tomography Perfusion (CTP) improves diagnosis of POCI.