作者
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
发表日期
2023/7/1
来源
The Lancet Neurology
卷号
22
期号
7
页码范围
602-618
出版商
Elsevier
简介
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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