Evidence map›Paper›PMID 42083521›Full record

ArticleCurrent medical imaging2026

Analysis of Risk Factors Related to Carotid Artery in Patients with Acute Ischemic Stroke.

Dandan Xiao, Hongjun Nie, Yaocheng Xiao, Liyun Chen, Yanfen Zhang

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Article in Current medical 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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5 · Who and what money

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5 authors.

Dandan XiaoDepartment of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 41000, China.
Hongjun NieDepartment of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 41000, China.
Yaocheng XiaoDepartment of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 41000, China.
Liyun ChenDepartment of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 41000, China.
Yanfen ZhangDepartment of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 41000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStudying independent risk factors for carotid artery-related Acute Ischemic Stroke (AIS) in affected patients can help guide the clinical prevention and prognosis of AIS.

methodsIn this retrospective study, 81 patients who were admitted to our center for routine carotid ultrasound and contrast-enhanced ultrasound examinations were enrolled. The patients were assigned to the study and control groups based on whether they had AIS symptoms. Multivariate logistic regression was used to analyze the correlation between risk factors and carotid artery-related AIS.

resultsSignificant differences in Intraplaque Neovascularization (IPN) grade, vascular stenosis, different age stages, plaque length and diameter, and hypertension were observed between the two groups (P < 0.05). Two sonographers were satisfactorily consistent in IPN grading diagnosis (Kappa = 0.763). According to the multivariate logistic regression analysis, the IPN grade and hypertension were independent risk factors for carotid artery-associated AIS (P < 0.05). Receiver Operating Characteristic (ROC) analysis showed that IPN grading demonstrated better discriminative performance for AIS than lumen stenosis, with an Area Under the Curve (AUC) of 0.74 versus 0.65. DISCUSSION: In the study group, the carotid plaques of AIS patients were mostly of IPN grade III-IV. The number of patients with IPN > II was significantly higher in the study group than in the control group (33.3% (27/81) vs. 7.4% (6/81); P < 0.05). The accuracy, sensitivity, specificity, and positive and negative predictive values of carotid canal cavity stenosis were approximately 65.43%, 64.29%, 66.67%, 67.50%, and 63.41%, respectively. For patients with IPN > II, the values for the aforementioned parameters were 76.54%, 81.81%, 72.92%, 85.36%, and 67.50%, respectively. Statistically significant differences in sensitivity and negative predictive value were observed between the two groups (P < 0.05).

conclusionIPN grading demonstrates a stronger association and higher discriminative ability for AIS than for carotid stenosis. It may provide valuable information for early clinical identification, risk stratification, and prevention of carotid artery-related AIS.

Indexed as

Brain IschemiaCarotid ArteriesCarotid StenosisIschemic StrokeUltrasonography, Carotid ArteriesAgedContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsContrast MediaAcute ischemic strokeCarotid plaqueContrast-enhanced ultrasoundIntraplaque neovascularizationNew blood vessels in plaqueTransient ischemic attack

Identifiers

PMID42083521
PMCPMC13575941

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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.