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Morphological Features of the Vertebrobasilar System Predict Ischemic Stroke Risk in Spontaneous Vertebral Artery Dissection.
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- Additional Information
- Source:
Publisher: Springer Country of Publication: United States NLM ID: 101468585 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1937-5395 (Electronic) Linking ISSN: 19375387 NLM ISO Abbreviation: J Cardiovasc Transl Res Subsets: MEDLINE
- Publication Information:
Original Publication: New York, NY : Springer
- Subject Terms:
- Abstract:
The vertebral artery's morphological characteristics are crucial in spontaneous vertebral artery dissection (sVAD). We aimed to investigate morphologic features related to ischemic stroke (IS) and develop a novel prediction model. Out of 126 patients, 93 were finally analyzed. We constructed 3D models and morphological analyses. Patients were randomly classified into training and validation cohorts (3:1 ratio). Variables selected by LASSO - including five morphological features and five clinical characteristics - were used to develop prediction model in the training cohort. The model exhibited a high area under the curve (AUC) of 0.944 (95%CI, 0.862-0.984), with internal validation confirming its consistency (AUC = 0.818, 95%CI, 0.597-0.948). Decision curve analysis (DCA) indicated clinical usefulness. Morphological features significantly contribute to risk stratification in sVAD patients. Our novel developed model, combining interdisciplinary parameters, is clinically useful for predicting IS risk. Further validation and in-depth research into the hemodynamics related to sVAD are necessary.
Competing Interests: Declarations. Ethical Approval: The Ethical Review Committee of West China Hospital of Sichuan University (Approval No. 2020(69)) and individual consent for this retrospective analysis was waived. Informed Consent: Individual consent for this retrospective analysis was waived. Competing Interests: The authors have no conflicts of interest to declare that are relevant to the content of this article.
(© 2024. The Author(s).)
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- Grant Information:
2022YSF019 the Science and Technology Planning Project of Sichuan Province; 82101395 the Natural Science Foundation of China; 2023NSFSC1562 the Sichuan Science and Technology Program
- Contributed Indexing:
Keywords: Morphological Features; VAD; Vertebral Artery Dissection; Vertebral Artery Ostium; Vertebrobasilar System
- Publication Date:
Date Created: 20240709 Date Completed: 20241211 Latest Revision: 20241214
- Publication Date:
20241214
- Accession Number:
PMC11634921
- Accession Number:
10.1007/s12265-024-10534-6
- Accession Number:
38980655
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