Evidence map›Paper›PMID 42237534›Full record

ArticleInternational journal of stroke : official journal of the International Stroke Society2026

Two distinct patterns of progression of sporadic cerebral small vessel disease.

Yutong Chen, Hui Hong, Daniel Tozer, Zihan Sun, Lupei Cai, Hao Li, Anil Man Tuladhar, Frank-Erik De Leeuw, Hugh S Markus

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Article in International journal of stroke : official journal of the International Stroke Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yutong ChenStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8024-8775
Hui HongStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Daniel TozerStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Zihan SunStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Lupei CaiStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Hao LiDepartment of Neurology, Research Institute for Medical Research and Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
Anil Man TuladharDepartment of Neurology, Research Institute for Medical Research and Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
Frank-Erik De LeeuwDepartment of Neurology, Research Institute for Medical Research and Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
Hugh S MarkusStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9794-5996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSporadic cerebral small vessel disease (cSVD) is the most common cause of vascular dementia. cSVD features a wide range of neuroimaging markers, including white matter hyperintensity (WMH), lacunes, perivascular spaces, microbleeds, and diffusion magnetic resonance imaging (MRI)-based markers of white matter (WM) injury, and is accompanied by progressive cognitive decline. However, few studies have systematically investigated how and when various imaging and cognitive markers change along the complete cSVD progression trajectory.

aimsTo establish changes in imaging and cognitive markers along the cSVD progression trajectory.

methodsIn this cohort study, we selected 496 participants from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Imaging Cohort (RUNDMC) cohort as the discovery data set. The subtype and stage inference model was used to identify cSVD subtypes and their progression patterns. Five neuroimaging markers (WMH volume, median mean diffusivity (MD) in WM, WM volume, gray matter (GM) volume, and ventricle volume) were used in trajectory construction. The validation cohort was Cambridge cSVD (CamcSVD; n = 330).

resultsWe identified two subtypes in RUNDMC and replicated this finding in CamcSVD. One subtype displayed early WMH increase, followed by increased WM MD and tissue volume loss. The other subtype, which we termed "atrophy predominant," showed early loss of GM and WM and ventricle enlargement, followed by WMH increase and increased WM MD. This subtype displayed an increase in markers of idiopathic normal pressure hydrocephalus (iNPH).

conclusionWe have delineated two distinct progression patterns in sporadic cSVD. Further studies are needed to investigate the relationship between the atrophy-predominant cSVD subtype and iNPH.Data access statement:Datasets may be shared upon request to the corresponding author.

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Cerebral small vessel diseasediffusion tensor imagingmagnetic resonance imagingtrajectory

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.