ArticleCNS neuroscience & therapeutics2023
Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning.
Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Artifical intelligence-powered delta-NIHSS-based model for predicting recurrence, disability and mortality after acute ischaemic strokes (DISCO): a modelling study.EClinicalMedicine · 2025Article
- Association between pericarotid fat attenuation index and clinical outcomes of symptomatic cerebral small vessel disease.Quantitative imaging in medicine and surgery · 2025Article
- Review
- Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities.BMC medical imaging · 2025Article
- Exploration of heterogeneity in risk factors associated with imaging subtypes of white matter hyperintensities on fluid-attenuated inversion recovery magnetic resonance imaging.Frontiers in neurology · 2025Article
- Article
- Correlation of fluid-attenuated inversion recovery sequence vascular hyperintensity in magnetic resonance with collateral circulation and short-term clinical prognosis in acute ischemic stroke.Quantitative imaging in medicine and surgery · 2024Article
- Outcome prediction comparison of ischaemic areas' radiomics in acute anterior circulation non-lacunar infarction.Brain communications · 2024Article
- A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke.Frontiers in neurology · 2024Review
- Imaging biomarker associated with early neurological deterioration in isolated pontine infarction.Frontiers in neurology · 2024Article
- Predictive accuracy of machine learning for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients: a systematic review and meta-analysis.Translational cancer research · 2023Article
- Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023Review
- Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review.Biomedicines · 2023Review
- Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning.CNS neuroscience & therapeutics · 2023Article
- A binational study of the association between white matter hyperintensities and functional outcome in stroke patients.Frontiers in neurologyArticle
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Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsOur purpose is to assess the role of cerebral small vessel disease (SVD) in prediction models in patients with different subtypes of acute ischemic stroke (AIS).
methodsWe enrolled 398 small-vessel occlusion (SVO) and 175 large artery atherosclerosis (LAA) AIS patients. Functional outcomes were assessed using the modified Rankin Scale (mRS) at 90 days. MRI was performed to assess white matter hyperintensity (WMH), perivascular space (PVS), lacune, and cerebral microbleed (CMB). Logistic regression (LR) and machine learning (ML) were used to develop predictive models to assess the influences of SVD on the prognosis.
resultsIn the feature evaluation of SVO-AIS for different outcomes, the modified total SVD score (Gain: 0.38, 0.28) has the maximum weight, and periventricular WMH (Gain: 0.07, 0.09) was more important than deep WMH (Gain: 0.01, 0.01) in prognosis. In SVO-AIS, SVD performed better than regular clinical data, which is the opposite of LAA-AIS. Among all models, eXtreme gradient boosting (XGBoost) method with optimal index (OI) has the best performance to predict excellent outcome in SVO-AIS. [0.91 (0.84-0.97)].
conclusionsOur results revealed that different SVD markers had distinct prognostic weights in AIS patients, and SVD burden alone may accurately predict the SVO-AIS patients' prognosis.
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