Evidence map›Paper›PMID 42609455›Full record

ArticleFrontiers in aging neuroscience2026

Pericarotid fat density: a novel predictor of cognitive and functional outcomes in cerebral small vessel disease.

Shuo Zhao, Jing Zhang, Xunyao Hou, Xinyao Wang, Hui Gu, Chuanchen Zhang, Yunliang Guo, Ximing Wang

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Article in Frontiers in aging neuroscience, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuo ZhaoDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Jing ZhangDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xunyao HouDepartment of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xinyao WangDepartment of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Hui GuDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Chuanchen ZhangDepartment of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Liaocheng, China.
Yunliang Guo *Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Ximing Wang *Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pericarotid fat density (PFD) obtained by computed tomography angiography (CTA) could serve as a surrogate biomarker reflecting local inflammation. The study aimed to quantitatively estimate the impact of PFD on cognitive and functional outcomes in patients with cerebral small vessel disease (CSVD). Methods: A total of 71 symptomatic and 55 asymptomatic CSVD patients were prospectively recruited. Imaging characteristics comprising CSVD markers and carotid artery markers (PFD values, calcification, stenosis degree, ulceration, and maximum wall thickness) were analyzed. Cognitive assessments were performed 90 days after acute infarcts, including diverse neuropsychological scales (the Montreal Cognitive Assessment, the Shape Trail Test, the Stroop test, and the Rey-Osterrieth Complex Figure Test) and sensitive event-related potential (ERP) detection. Worse functional outcomes were defined as a Modified Rankin Scale change score (ΔmRS) ≥ 0 (ΔmRS = mRS Results: Symptomatic CSVD showed significantly higher PFD values than asymptomatic CSVD. As indicated by multiple scales and P3a/P3b amplitude, cognitive function in symptomatic CSVD was poorer than that in asymptomatic CSVD. Symptomatic CSVD showed numerically stronger correlations between PFD values and cognitive impairment, with more parameters involved and the strongest correlations existing among ERP data. Maximum PFD was identified as an independent predictor of adverse functional outcomes ( Conclusion: The increased PFD values were closely associated with cognitive impairment and adverse functional outcomes in CSVD patients, especially among those with symptoms. Our findings could assist in the risk stratification and tailored treatment of CSVD patients to facilitate prognosis.

Indexed as

cerebral small vessel diseasecognitive impairmentcomputed tomography angiographyevent-related potentialpericarotid fat density

Identifiers

PMID42609455
PMCPMC13478093

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