Abstract #5064

Identification of mutation-dependent heterogeneity in murine models of cerebral small vessel disease using susceptibility weighted imaging at 14.1 Tesla

Brice Tiret^1,2, Genki Hayashi³, Cassandre Labelle-Dumais³, Douglas Gould^3,4,5, and Myriam M. Chaumeil^1,2

¹Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, CA, United States, ²Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, ³Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States, ⁴Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, United States, ⁵Department of Anatomy, University of California, San Francisco, San Francisco, CA, United States

Cerebral small vessel diseases (cSVDs) are a poorly understood group of conditions that manifest as intracerebral hemorrhage, microinfarcts, microbleeds and white matter lesions. Here, we used innovative mouse models that recapitulate the clinical spectrum of human cSVDs to investigate whether T2-weighted (T2-w) and Susceptibility Weighted Imaging (SWI) at 14.1Tesla could be used to differentiate between disease subtypes. Our results show that SWI could differentiate between models, with the number of SWI-detected lesions in line with both disease severity and hemosiderin staining. High-field SWI thus demonstrate high potential to non-invasively monitor cSVD evolution and response to therapies in those models.

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