Abstract DP256: Characteristics of Brain Structural Damage in General Population with Intracranial Artery Stenosis.

Background and aims: Covert magnetic resonance imaging (MRI) markers of cerebral small vessel disease (CSVD) can coexist with large artery atherosclerosis. We aimed to explore whether the spatial distributions of these markers were diverse in people with or without intracranial artery stenosis (ICAS). Methods: This cross-sectional analysis included 1206 stroke-free participants (aged 55.69 ± 9.27, 62.94% female) with brain MRI and MR angiography from Shunyi cohort. We analyzed the relationships between ICAS and CSVD markers. We also compared the probability maps of lacunes, cerebral microbleeds (CMB), white matter hyperintensities (WMH) and vertex-wise cortex maps at a voxel/vertex-wise level in groups with and without ICAS. Results: ICAS was significantly correlated with lacunes (OR = 2.95, 95% CI = 1.97-4.43, p < 0.001), WMH (β = 0.333, SE = 0.058, p < 0.001) and BPF (β = -0.011, SE = 0.002, p < 0.001) independently, but not with CMB. Lacunes coexist ICAS were prone in basal ganglia, while the lacunes without ICAS appeared in centrum semiovale more often. WMH with ICAS were likely to present in deep white matter involving the bilateral pyramidal tracts and superior thalamic radiation. People with ICAS were susceptible to worse cortical atrophy of right superior frontal and left rostral anterior cingulate. No obvious distributional differences were found for CMB between the two groups. Conclusions: Since ICAS may involve in the upstream pathogenesis of lacunes, white matter lesion and cortical atrophy, the impact of ICAS should not be ignored when evaluate MRI markers of CSVD.

Authors

Institutions

Publication Details

Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.dp256
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract DP256: Characteristics of Brain Structural Damage in General Population with Intracranial Artery Stenosis.

Xingqi Pan, Ziang Pan, Ziyue Liu, Yi-Cheng Zhu et al.
Stroke
Neurological Disease Mechanisms and Treatments
article

Abstract DP256: Characteristics of Brain Structural Damage in General Population with Intracranial Artery Stenosis.

Xingqi Pan, Ziang Pan, Ziyue Liu, Yi-Cheng Zhu, Fei Han
article en

Abstract

Background and aims: Covert magnetic resonance imaging (MRI) markers of cerebral small vessel disease (CSVD) can coexist with large artery atherosclerosis. We aimed to explore whether the spatial distributions of these markers were diverse in people with or without intracranial artery stenosis (ICAS). Methods: This cross-sectional analysis included 1206 stroke-free participants (aged 55.69 ± 9.27, 62.94% female) with brain MRI and MR angiography from Shunyi cohort. We analyzed the relationships between ICAS and CSVD markers. We also compared the probability maps of lacunes, cerebral microbleeds (CMB), white matter hyperintensities (WMH) and vertex-wise cortex maps at a voxel/vertex-wise level in groups with and without ICAS. Results: ICAS was significantly correlated with lacunes (OR = 2.95, 95% CI = 1.97-4.43, p < 0.001), WMH (β = 0.333, SE = 0.058, p < 0.001) and BPF (β = -0.011, SE = 0.002, p < 0.001) independently, but not with CMB. Lacunes coexist ICAS were prone in basal ganglia, while the lacunes without ICAS appeared in centrum semiovale more often. WMH with ICAS were likely to present in deep white matter involving the bilateral pyramidal tracts and superior thalamic radiation. People with ICAS were susceptible to worse cortical atrophy of right superior frontal and left rostral anterior cingulate. No obvious distributional differences were found for CMB between the two groups. Conclusions: Since ICAS may involve in the upstream pathogenesis of lacunes, white matter lesion and cortical atrophy, the impact of ICAS should not be ignored when evaluate MRI markers of CSVD.

StrokeVol. 57(Suppl_1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Good health and well-being
Openalex Percentile: Top 77%
Neurological Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.