AIMC Topic: Infarction, Middle Cerebral Artery

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Deep Learning Enhanced Near Infrared-II Imaging and Image-Guided Small Interfering Ribonucleic Acid Therapy of Ischemic Stroke.

ACS nano Mar 5, 2025
Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome has emerged as a promising therapeutic strategy to mitigate infarct volume and brain injury following ischemic stroke. However, the cl...
Animals Male Deep Learning Mice Blood-Brain Barrier NLR Family, Pyrin Domain-Containing 3 Protein Infarction, Middle Cerebral Artery RNA, Small Interfering Infrared Rays Nanoparticles Disease Models, Animal Mice, Inbred C57BL Ischemic Stroke
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Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Humans Machine Learning Infarction, Middle Cerebral Artery Thrombectomy Medical Futility Male Middle Aged Female Risk Assessment Treatment Outcome Risk Factors Decision Support Techniques Time Factors Predictive Value of Tests Aged Retrospective Studies Ischemic Stroke Aged, 80 and over Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Clinical Decision-Making
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Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework.

European radiology experimental May 15, 2024
BACKGROUND: This study investigates the potential of diffusion tensor imaging (DTI) in identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion-diffusion mismatch (PDM), utilizing a stack-based ensemble machine learnin...
Machine Learning Infarction, Middle Cerebral Artery Diffusion Tensor Imaging Animals Male Rats Rats, Sprague-Dawley
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E. globulus leaf EO exhibits anti-inflammatory effects by regulating GSDMD-mediated pyroptosis, thereby alleviating neurological impairment and neuroinflammation in experimental stroke mice.

Journal of ethnopharmacology Oct 30, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: Aromatic and medicinal plants continue to be a major component of alternative and traditional medicine in the developing countries. Eucalyptus globulus (Labill.) is being employed to cultivation and production in China...
Stroke Lipopolysaccharides Mice Infarction, Middle Cerebral Artery NF-kappa B DNA-Binding Proteins Rats Plant Leaves Anti-Infective Agents Anti-Inflammatory Agents Inflammation Neuroinflammatory Diseases NLR Family, Pyrin Domain-Containing 3 Protein Tumor Necrosis Factor-alpha Microglia Rats, Sprague-Dawley Pyroptosis Interleukin-6 Animals
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Machine learning prediction of malignant middle cerebral artery infarction after mechanical thrombectomy for anterior circulation large vessel occlusion.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jan 16, 2023
OBJECTIVE: Prediction of malignant middle cerebral artery infarction (MMI) could identify patients for early intervention. We trained and internally validated a ML model that predicts MMI following mechanical thrombectomy (MT) for ACLVO.
Thrombectomy Humans Machine Learning Retrospective Studies Logistic Models Infarction, Middle Cerebral Artery
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Head CT deep learning model is highly accurate for early infarct estimation.

Scientific reports Jan 5, 2023
Non-contrast head CT (NCCT) is extremely insensitive for early (< 3-6 h) acute infarct identification. We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NC...
Magnetic Resonance Imaging Stroke Infarction, Middle Cerebral Artery Humans Tomography, X-Ray Computed Deep Learning
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Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography.

Stroke Aug 26, 2020
BACKGROUND AND PURPOSE: Reliable recognition of large vessel occlusion (LVO) on noncontrast computed tomography (NCCT) may accelerate identification of endovascular treatment candidates. We aim to validate a machine learning algorithm (MethinksLVO) t...
Brain Ischemia Middle Cerebral Artery Computed Tomography Angiography Sensitivity and Specificity Deep Learning Stroke Infarction, Middle Cerebral Artery Humans Software Databases, Factual Tomography, X-Ray Computed
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Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

Journal of biomedical science Jul 15, 2020
BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h of stroke onset. Quick and precise identification of the salvageable tissue is essential for successful stroke management. In this study, we examined t...
Male Machine Learning ROC Curve Algorithms Animals Disease Models, Animal Rats Infarction, Middle Cerebral Artery Rats, Sprague-Dawley Ischemia Diffusion Tensor Imaging
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Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Aged Aged, 80 and over Adult Male Middle Aged Humans Acute Disease Endovascular Procedures Machine Learning Stroke Female Infarction, Middle Cerebral Artery Thrombosis Atrial Fibrillation Brain Ischemia Neuroimaging
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Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine.

Neuroradiology Jul 31, 2018
PURPOSE: New software solutions emerged to support radiologists in image interpretation in acute ischemic stroke. This study aimed to validate the performance of computer-aided assessment of the Alberta Stroke Program Early CT score (ASPECTS) for det...
Alberta Machine Learning Software Stroke Tomography, X-Ray Computed Infarction, Middle Cerebral Artery Female Brain Ischemia Observer Variation Humans Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted
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