Acute stroke risk prediction model based on dual-energy CTA-derived carotid plaque, perivascular adipose tissue characteristics, and serum lipid parameters: a dual-center study.
Background: Acute stroke is a major global cause of mortality and disability. Accurate prediction of stroke risk is crucial for effective clinical management. This study aimed to develop a multidimensional prediction model for acute stroke using carotid plaque characteristics, lumen parameters, peri...
| Publicado en: | Neuroradiology Vol. 67; no. 11; pp. 3157 - 3172 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190505803&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190505803 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Nov2025 vid: 67 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 190505803 187181890 190505803 190505803 10.1007/s00234-025-03723-w 190505803 ppf: 3157 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Acute stroke risk prediction model based on dual-energy CTA-derived carotid plaque, perivascular adipose tissue characteristics, and serum lipid parameters: a dual-center study. aug: au: Zhang, He Xu, Xu Long, Juan Wang, Chenzi Liu, Xiaohan Xu, Wenbei Sun, Xiaonan Dou, Peipei Zhou, Dexing Cao, Wei Xu, Kai Meng, Yankai affil: https://ror.org/02kstas42 Department of Medical Imaging, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China sug: subj: Stroke Risk Factors Risk Assessment Prediction Models Adipose Tissue Radiography Biological Markers Blood Carotid Stenosis Complications Computed Tomography Angiography Lipids Blood Coronary Arteriosclerosis Radiography Human Male Female Adult Middle Age Retrospective Design Predictive Value of Tests Sensitivity and Specificity Data Analysis Software Descriptive Statistics Chi Square Test Mann-Whitney U Test ROC Curve Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Acute stroke is a major global cause of mortality and disability. Accurate prediction of stroke risk is crucial for effective clinical management. This study aimed to develop a multidimensional prediction model for acute stroke using carotid plaque characteristics, lumen parameters, perivascular adipose tissue (PVAT) quantitative metrics derived from dual-energy computed tomography angiography (DE-CTA), and serum lipid biomarkers. Methods: This retrospective dual-center study enrolled 212 patients who underwent DE-CTA and MRI between January 2023 and October 2024, comprising a training cohort (137 patients) and an external validation cohort (75 patients). Quantitative parameters including carotid plaque features (composition and intraplaque parameters), lumen metrics, PVAT quantitative indices, and serum lipid levels were collected. Patients with ipsilateral acute anterior circulation infarcts identified on MRI were classified as symptomatic (STA), and those without infarcts as asymptomatic (ATA). Variables were selected via univariate analysis and LASSO regression to construct a multivariate logistic regression model. Model performance was evaluated by ROC analysis, confusion matrix, calibration curves, and clinical decision curves, followed by external validation. Results: External validation of the final model showed an area under the ROC curve (AUC) of 0.810, with a sensitivity of 80.8% and specificity of 65.3%, indicating robust predictive performance and good clinical applicability. Conclusions: The multidimensional predictive model integrating DE-CTA-derived carotid plaque features, PVAT metrics, and serum lipid parameters effectively predicts acute stroke risk, providing a reliable quantitative tool for early screening and clinical intervention. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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