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Abstract
Early diagnosis is a critical part of the emergency care of cerebral hemorrhages and ischemia. A rapid and accurate diagnosis of strokes reduces the delays to appropriate treatments and a better functional recovery. Currently, CTscan and MRI are the gold standards with constraints of accessibility, availability, and possibly some contraindications. The development of Ultrasound Localization Microscopy (ULM) has enabled new perspectives to conventional transcranial ultrasound imaging with increased sensitivity, penetration depth, and resolution. The possibility of volumetric imaging has increased the field-of-view and provided a more precise description of the microvascularisation. In this study, rats (n = 9) were subjected to thromboembolic ischemic stroke or intracerebral hemorrhages prior to volumetric ULM at the early phases after onsets. Although the volumetric ULM performed in the early phase of ischemic stroke revealed a large hypoperfused area in the cortical area of the occluded artery, it showed a more diffused hypoperfusion in the hemorrhagic model. Respective computations of a Microvascular Diffusion Index highlighted different patterns of perfusion loss during the first 24 h of these two strokes’ subtypes. Our study provides the first proof that this methodology should allow early discrimination between ischemic and hemorrhagic stroke with a potential toward diagnosis and monitoring in clinic.
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Details
1 Laboratoire d’Imagerie Biomédicale, Sorbonne Université, UMR 7371 CNRS, Inserm U1146, Paris, France (GRID:grid.503298.5) (ISNI:0000 0004 0370 0969)
2 Normandie University, UNICAEN, Inserm U1237, Etablissement Français du Sang, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Caen, France (GRID:grid.460771.3) (ISNI:0000 0004 1785 9671)
3 Normandie University, UNICAEN, Inserm U1237, Etablissement Français du Sang, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Caen, France (GRID:grid.460771.3) (ISNI:0000 0004 1785 9671); CHU Caen, Department of Clinical Research, Caen-Normandie University Hospital, Caen, France (GRID:grid.411149.8) (ISNI:0000 0004 0472 0160)




