Evidence map›Paper›PMID 42487105›Full record

ArticleInsights into imaging2026

Spectral CT parameters of perivascular adipose tissue as non-invasive biomarkers for identifying symptomatic carotid atherosclerosis.

Xiaohan Zheng, Xuehuan Liu, Jinyu Song, Endong Zhao, Weiwei Cui, Gouling Zhan, Zuoxi Li, Hong Yu, Xiao Gao, Jun Liu

Abstract read
In one paragraph

Article in Insights into imaging, 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

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaohan Zheng *Tianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Xuehuan Liu *Department of Radiology, Tianjin Union Medical Center, Tianjin, China.
Jinyu SongTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Endong ZhaoTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Weiwei CuiTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Gouling ZhanTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Zuoxi LiTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Hong YuTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Xiao GaoTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China.
Jun LiuTianjin Fourth Central Hospital, The Affiliated Hospital of Tianjin Medical University, Tianjin, China. cjr.liujun@vip.163.com.ORCID http://orcid.org/0000-0001-7253-6283

Funding

National Natural Science Foundation of China 12174203Tianjin Medical University Integrated Traditional Chinese and Western Medicine Discipline Enhancement Program-Key Projects of Scientific Research Special Fund 2024XKZXY08Tianjin Municipal Science and Technology Program TJWJ2023MS018
6 · The paper itself

Abstract

objectivesTo evaluate the association between computed tomography (CT) spectral parameters of perivascular adipose tissue (PVAT) and carotid plaque composition, and to assess their value for identifying symptomatic plaques. MATERIALS AND

methodsIn this study, 306 consecutive patients with computed tomography angiography (CTA)-confirmed carotid atherosclerosis who underwent head and neck spectral CT angiography were analyzed. Quantitative plaque parameters and PVAT spectral metrics were extracted. Correlations between quantitative plaque parameters and PVAT spectral indices were analyzed, and logistic regression was used to identify independent predictors of symptomatic plaques. Diagnostic performance was evaluated by generating receiver operating characteristic (ROC) curves.

resultsCompared with asymptomatic patients, symptomatic carotid plaques showed higher PVAT effective atomic number (Zeff) and iodine concentration (IC) but lower fat fraction (FF) (all p < 0.05). Zeff and IC correlated positively with fibrous fatty and necrotic core volumes, whereas FF correlated negatively with necrotic core volume (all p < 0.001). In multivariable models, Zeff, IC, FF, and virtual monoenergetic image attenuation at 70 keV (CT

conclusionSpectral CT-derived PVAT parameters differ between symptomatic and asymptomatic carotid atherosclerosis and are associated with plaque composition, providing complementary noninvasive information for identifying symptomatic plaques. KEY POINTS: Question: Can spectral CT-derived PVAT parameters improve noninvasive identification of symptomatic carotid atherosclerosis beyond luminal stenosis?

findingsPVAT spectral parameters differed between symptomatic and asymptomatic plaques, and adding FF or CT

Indexed as

Carotid atherosclerosisComputed tomography angiographyPerivascular adipose tissueSpectral computed tomographySymptomatic carotid plaque

Identifiers

PMID42487105
PMCPMC13391981

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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.