AIMC Topic: Thrombectomy

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Deep learning on pre-procedural computed tomography and clinical data predicts outcome following stroke thrombectomy.

Journal of neurointerventional surgery Feb 14, 2025
BACKGROUND: Deep learning using clinical and imaging data may improve pre-treatment prognostication in ischemic stroke patients undergoing endovascular thrombectomy (EVT).
Computed Tomography Angiography Ischemic Stroke Stroke Endovascular Procedures Thrombectomy Female Aged Middle Aged Aged, 80 and over Deep Learning Male Cohort Studies Treatment Outcome Predictive Value of Tests Humans Prognosis Retrospective Studies Tomography, X-Ray Computed
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Large Language Models-Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility Qualitative Study.

Journal of medical Internet research Feb 13, 2025
BACKGROUND: The latest advancement of artificial intelligence (AI) is generative pretrained transformer large language models (LLMs). They have been trained on massive amounts of text, enabling humanlike and semantical responses to text-based inputs ...
Female Aged Sensitivity and Specificity Male Middle Aged Humans Retrospective Studies Tomography, X-Ray Computed Decision Making, Computer-Assisted Ischemic Stroke Feasibility Studies Thrombectomy Large Language Models
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Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.

Journal of neuroscience methods Jan 28, 2025
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...
Ischemic Stroke Registries Stroke Outcome Assessment, Health Care Endovascular Procedures Male Middle Aged Treatment Outcome Support Vector Machine Thrombectomy Humans Machine Learning Prospective Studies Female Aged Aged, 80 and over
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Evaluating the effect of noise reduction strategies in CT perfusion imaging for predicting infarct core with deep learning.

The neuroradiology journal Jan 9, 2025
This study evaluates the efficacy of deep learning models in identifying infarct tissue on computed tomography perfusion (CTP) scans from patients with acute ischemic stroke due to large vessel occlusion, specifically addressing the potential influen...
Humans Tomography, X-Ray Computed Female Aged Cerebral Infarction Signal-To-Noise Ratio Thrombectomy Perfusion Imaging Male Diffusion Magnetic Resonance Imaging Middle Aged Deep Learning Ischemic Stroke
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Prediction of Symptomatic Intracranial Hemorrhage Before Mechanical Thrombectomy Using Machine Learning in Patients with Anterior Circulation Large Vessel Occlusion.

World neurosurgery Dec 6, 2024
BACKGROUND: Symptomatic intracranial hemorrhage (sICH) after mechanical thrombectomy (MT) is associated with worse outcomes. We sought to develop and internally validate a machine learning (ML) model to predict sICH prior to MT in patients with anter...
Predictive Value of Tests Intracranial Hemorrhages Thrombectomy Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Retrospective Studies Female
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Introduction and accuracy assessment of Nicolab's StrokeViewer in a developing stroke thrombectomy UK service. a service development/improvement project.

Clinical radiology Nov 8, 2024
AIM: The aim of this study was to evaluate the implementation of artificial intelligence (AI) software in a quaternary stroke centre as well as assess the accuracy and efficacy of StrokeViewer software in large vessel occlusion detection and its pote...
Software Humans Male Female Artificial Intelligence Stroke Reproducibility of Results Quality Improvement Sensitivity and Specificity United Kingdom Thrombectomy
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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.

Medical image analysis Oct 30, 2024
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disabilities without timely intervention. Spatio-temporal (4D) Computed Tomography Perfusion (CTP) imaging is crucial for diagnosing and treating AIS due t...
Humans Female Aged Male Middle Aged Thrombectomy Deep Learning Perfusion Imaging Ischemic Stroke Four-Dimensional Computed Tomography Stroke Metadata
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Machine learning models for outcome prediction in thrombectomy for large anterior vessel occlusion.

Annals of clinical and translational neurology Aug 23, 2024
OBJECTIVE: Predicting long-term functional outcomes shortly after a stroke is challenging, even for experienced neurologists. Therefore, we aimed to evaluate multiple machine learning models and the importance of clinical/radiological parameters to d...
Ischemic Stroke Aged Registries Humans Aged, 80 and over Endovascular Procedures Stroke Male Machine Learning Outcome Assessment, Health Care Thrombectomy Middle Aged Prognosis Female
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A Deep Learning Approach to Predict Recanalization First-Pass Effect following Mechanical Thrombectomy in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Aug 9, 2024
BACKGROUND AND PURPOSE: Following endovascular thrombectomy in patients with large-vessel occlusion stroke, successful recanalization from 1 attempt, known as the first-pass effect, has correlated favorably with long-term outcomes. Pretreatment imagi...
Magnetic Resonance Imaging Ischemic Stroke Endovascular Procedures Thrombectomy Male Humans Middle Aged Tomography, X-Ray Computed Deep Learning Female Treatment Outcome Aged
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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...
Risk Factors Aged Aged, 80 and over Humans Ischemic Stroke Retrospective Studies Male Machine Learning Risk Assessment Radiographic Image Interpretation, Computer-Assisted Middle Aged Decision Support Techniques Time Factors Tomography, X-Ray Computed Infarction, Middle Cerebral Artery Treatment Outcome Clinical Decision-Making Thrombectomy Predictive Value of Tests Female Medical Futility
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