ArticleFrontiers in neuroscience2021
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Interpretable machine learning for cognitive impairment assessment: integration of clinical and radiomic white matter hyperintensities features.Journal of translational medicine · 2026Article
- The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.Annals of medicine · 2025Article
- Course of brain damage following malignant hypertension.Journal of human hypertension · 2025Article
- Progress of radiomics research on white matter hyperintensity lesions.Frontiers in neurology · 2025Review
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.Frontiers in neurology · 2025Review
- Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers.Scientific reports · 2024Article
- Diffusion kurtosis imaging of brain white matter alteration in patients with coronary artery disease based on the TBSS method.Frontiers in aging neuroscience · 2024Article
- Predicting long-term outcomes for acute ischemic stroke using multi-model MRI radiomics and clinical variables.Frontiers in medicine · 2024Article
- Abnormal neonatal brain microstructure in gestational diabetes mellitus revealed by MRI texture analysis.Scientific reports · 2023Article
- Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.Neurology · 2023Article
- Texture analysis of apparent diffusion coefficient maps in predicting the clinical functional outcomes of acute ischemic stroke.Frontiers in neurology · 2023Article
- Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome.Neurology · 2022Article
- Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence.Brain : a journal of neurology · 2022Review
- Radiomics-Informed Modeling for Transcranial Ultrasound Stimulation: Age Matters.Frontiers in neuroscience · 2022Article
- Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics.Frontiers in neuroscience · 2022Article
- MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes.Frontiers in neuroscience · 2021Article
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56 authors.
Funding
Abstract
objectiveNeuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes.
methodsWe analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. Radiomic features were extracted from normal-appearing brain tissue (brain mask-WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA).
resultsRadiomic features were predictive of WMH burden (
conclusionRadiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients' brain health.
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