Evidence map›Paper›PMID 41144058›Full record

ArticleNeurosurgical review2025

The association between carotid artery perivascular fat density and Covert brain infarction following carotid endarterectomy.

Xuan Lai, Qingsen Ren, Tao Wang, Yunfeng Han

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Article in Neurosurgical review, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xuan Lai *Department of Geriatrics, Peking University Third Hospital, Beijing, 100191, China.
Qingsen Ren *Department of Neurosurgery, Peking University Third Hospital, Beijing, 100191, China.
Tao WangDepartment of Neurosurgery, Peking University Third Hospital, Beijing, 100191, China.
Yunfeng HanDepartment of Neurosurgery, Peking University Third Hospital, Beijing, 100191, China. hyfln@126.com.

Funding

fund of Peking University Third Hospital BYSYZD 2024041National Natural Science Foundation of China 82201635
6 · The paper itself

Abstract

Covert brain infarction (CBI) is a common complication after carotid endarterectomy (CEA) and is associated with cognitive decline. Carotid artery perivascular fat density (PFD) reflects the severity of inflammation around the artery and is also related to plaque vulnerability. This study aimed to investigate the association between PFD and CBI in patients undergoing CEA. A total of 185 patients who underwent CEA were enrolled. PFD was measured using computed tomography angiography (CTA), and CBI was assessed on postoperative magnetic resonance imaging (MRI). Baseline characteristics, plaque features, and PFD were compared between patients with and without CBI. Logistic regression analysis was performed to evaluate the association between PFD and CBI, adjusting for confounding factors. Among 185 patients, 45 (24.3%) had CBI. Patients with CBI had significantly higher PFD (-41.46 ± 8.12 Hounsfield Units [HU]) compared to those without CBI (-59.95 ± 10.13 HU; P < 0.001). In logistic regression, PFD was associated with CBI (OR: 1.203, 95% CI: 1.139-1.271; P < 0.001). After adjustment in three models, this association remained significant independently. The optimal PFD cutoff for predicting CBI was - 51.7 Hu, with a sensitivity of 93.3% and specificity of 84.3%. Higher PFD was significantly associated with an increased risk of CBI following CEA. PFD may serve as a novel imaging marker for predicting CBI, aiding in preoperative risk assessment and patient management.

Indexed as

Adipose TissueBrain InfarctionCarotid ArteriesCarotid StenosisEndarterectomy, CarotidPostoperative ComplicationsAgedComputed Tomography AngiographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesCarotid endarterectomyCovert brain infarctionPerivascular fat density

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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.