Assessment of carotid plaques stability and its correlation with ischemic stroke through computed tomography angiography

CTA-based assessment of carotid plaque features enables effective evaluation of stroke risk. Notably, vulnerable plaques with non-severe stenosis may contribute to the pathogenesis of ESUS, underscoring the need for plaque composition analysis beyond luminal narrowing.

Authors

Institutions

Publication Details

Journal
Neurological Research
Published
2025-05-22
DOI
https://doi.org/10.1080/01616412.2025.2508865
Citations
2
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
3.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of carotid plaques stability and its correlation with ischemic stroke through computed tomography angiography

Kexin Li, G. Y. Lan, Weijie Yao, Hong Guo
2 citations
Neurological Research
Cerebrovascular and Carotid Artery Diseases
3.04
article

Assessment of carotid plaques stability and its correlation with ischemic stroke through computed tomography angiography

Kexin Li, G. Y. Lan, Weijie Yao, Hong Guo
article en
2 citations

Abstract

CTA-based assessment of carotid plaque features enables effective evaluation of stroke risk. Notably, vulnerable plaques with non-severe stenosis may contribute to the pathogenesis of ESUS, underscoring the need for plaque composition analysis beyond luminal narrowing.

Neurological ResearchVol. 47(10)
Tianjin Beichen Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 9%
Cerebrovascular and Carotid Artery Diseases
3.04
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.