ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2020
Classifying intracranial stenosis disease severity from functional MRI data using machine learning.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cerebrovascular Reactivity Measurement Using Magnetic Resonance Imaging: A Systematic Review.Frontiers in physiology · 2021Pooled it
- Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.Sovremennye tekhnologii v meditsine · 2021Pooled it
- Cerebrovascular reactivity delay measured by blood oxygen level dependent magnetic resonance imaging and gas challenges: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Presenting cerebrovascular reactivity as a determinant of direct and indirect surgical revascularization success in North American patients with moyamoya vasculopathy.Journal of neurosurgery · 2025Article
- Problems and solutions in quantifying cerebrovascular reactivity using BOLD-MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Convolutional Neural Networks to Assess Steno-Occlusive Disease Using Cerebrovascular Reactivity.Healthcare (Basel, Switzerland) · 2023Article
- Presurgical Magnetic Resonance Imaging Indicators of Revascularization Response in Adults With Moyamoya Vasculopathy.Journal of magnetic resonance imaging : JMRI · 2022Article
- CT perfusion-based delta-radiomics models to identify collateral vessel formation after revascularization in patients with moyamoya disease.Frontiers in neuroscience · 2022Article
- Choroid plexus perfusion in sickle cell disease and moyamoya vasculopathy: Implications for glymphatic flow.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- A Prospective, Longitudinal Magnetic Resonance Imaging Evaluation of Cerebrovascular Reactivity and Infarct Development in Patients With Intracranial Stenosis.Journal of magnetic resonance imaging : JMRI · 2021Article
- Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications.Diagnostics (Basel, Switzerland) · 2021Review
- Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Monitoring and Prognostic Analysis of Severe Cerebrovascular Diseases Based on Multi-Scale Dynamic Brain Imaging.Frontiers in neuroscience · 2021Article
- Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.CNS neuroscience & therapeutics · 2021Article
- Choroid plexus perfusion and intracranial cerebrospinal fluid changes after angiogenesis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and support vector machine (SVM) algorithms, we investigated whether arrival time-related artifacts in these methods could be exploited as novel contrast sources to discriminate angiographically confirmed stenotic flow territories. Intracranial steno-occlusive moyamoya patients (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.