Authors
Marco Duering, Geert Jan Biessels, Amy Brodtmann, Christopher Chen, Charlotte Cordonnier, Frank-Erik de Leeuw, Stéphanie Debette, Richard Frayne, Eric Jouvent, Natalia S Rost, Annemieke Ter Telgte, Rustam Al-Shahi Salman, Walter H Backes, Hee-Joon Bae, Rosalind Brown, Hugues Chabriat, Alberto De Luca, Charles Decarli, Anna Dewenter, Fergus N Doubal, Michael Ewers, Thalia S Field, Aravind Ganesh, Steven Greenberg, Karl G Helmer, Saima Hilal, Angela CC Jochems, Hanna Jokinen, Hugo Kuijf, Bonnie YK Lam, Jessica Lebenberg, Bradley J MacIntosh, Pauline Maillard, Vincent CT Mok, Leonardo Pantoni, Salvatore Rudilosso, Claudia L Satizabal, Markus D Schirmer, Reinhold Schmidt, Colin Smith, Julie Staals, Michael J Thrippleton, Susanne J van Veluw, Prashanthi Vemuri, Yilong Wang, David Werring, Marialuisa Zedde, Rufus O Akinyemi, Oscar H Del Brutto, Hugh S Markus, Yi-Cheng Zhu, Eric E Smith, Martin Dichgans, Joanna M Wardlaw
Publication date
2023/7/1
Source
The Lancet Neurology
Volume
22
Issue
7
Pages
602-618
Publisher
Elsevier
Description
Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods …
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