ArticleInternational journal of general medicine2024
Quantitative Analysis of Multimodal MRI Markers and Clinical Risk Factors for Cerebral Small Vessel Disease Based on Deep Learning.
Article in International journal of general medicine, 2024. 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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15 citing papers in PubMed.
- Altered glymphatic-related MRI markers in children with acute lymphoblastic and myeloid leukemia at diagnosis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Deep learning for early detection of cerebral small vessel disease using self-supervised graph embeddings and retinal image analysis.Scientific reports · 2026Article
- Alterations in the DTI-ALPS index and choroid plexus volume as brain-immune interfacing indicators in neuropsychiatric lupus erythematosus with inflammatory phenotype.Lupus science & medicine · 2026Article
- Handcrafted MRI radiomics of enlarged perivascular spaces and machine learning predict cognitive impairment and sleep disturbance in young adults.Scientific reports · 2026Article
- The association between obstructive sleep apnea and total cerebral small vessel disease burden-Neurovascular insights of OSA.Frontiers in neuroscience · 2026Article
- Deep medullary veins score is associated with idiopathic normal pressure hydrocephalus in patients with arteriolosclerotic cerebral small vessel disease.Frontiers in neuroscience · 2026Article
- Glymphatic system dysfunction in pediatric growth hormone deficiency evidenced by multiple MRI metrics.Quantitative imaging in medicine and surgery · 2026Article
- An exploratory study of the diffusion tensor imaging analysis along perivascular spaces (DTI-ALPS) index combined with quantitative analysis of choroid plexus volume and perivascular spaces in different cognitive stages of cerebral small vessel disease.Quantitative imaging in medicine and surgery · 2025Article
- Cerebral small vessel disease lesion segmentation methods: A systematic review.Cerebral circulation - cognition and behavior · 2025Review
- Enlarged perivascular spaces in the basal ganglia mediate the negative impact of HbA1c levels on mild cognitive impairment.Frontiers in human neuroscience · 2025Article
- MRI quantified enlarged perivascular space volumes as imaging biomarkers correlating with severity of anxiety depression in young adults with long-time mobile phone use.Frontiers in psychiatry · 2025Article
- Association between diffusion tensor imaging analysis along the perivascular space (DTI-ALPS)-based glial-lymphatic dysfunction and cognitive impairment in non-small cell lung cancer.American journal of translational research · 2025Article
- MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile phone use.Frontiers in neuroscience · 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
- Beyond the cerebellum: perivascular space burden in spinocerebellar ataxia type 3 extends to multiple brain regions.Brain communications · 2025Article
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8 authors.
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Abstract
Background: Cerebral small vessel disease lacks specific clinical manifestations, and extraction of valuable features from multimodal images is expected to improve its diagnostic accuracy. In this study, we used deep learning techniques to segment cerebral small vessel disease imaging markers in multimodal magnetic resonance images and analyze them with clinical risk factors. Methods and results: We recruited 211 lacunar stroke patients and 83 control patients. The patients' cerebral small vessel disease markers were automatically segmented using a V-shaped bottleneck network, and the number and volume were calculated after manual correction. The segmentation results of the V-shaped bottleneck network for white matter hyperintensity and recent small subcortical infarction were in high agreement with the ground truth (DSC>0.90). In small lesion segmentation, cerebral microbleed (average recall=0.778; average precision=0.758) and perivascular spaces (average recall=0.953; average precision=0.923) were superior to lacunar infarct (average recall=0.339; average precision=0.432) in recall and precision. Binary logistic regression analysis showed that age, systolic blood pressure, and total cerebral small vessel disease load score were independent risk factors for lacunar stroke ( Conclusion: Lacunar stroke patients exhibited higher cerebral small vessel disease imaging markers, and age, systolic blood pressure, and total cerebral small vessel disease score were independent risk factors for lacunar stroke patients. V-shaped bottleneck network segmentation network based on multimodal deep learning can segment and quantify various cerebral small vessel disease lesions to some extent.
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