AIMC Topic: Endovascular Procedures

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Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Journal of the American Heart Association Aug 27, 2024
BACKGROUND: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke o...
Femoral Artery Carotid Stenosis Predictive Value of Tests Stroke Stents Endovascular Procedures Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Treatment Outcome Machine Learning Databases, Factual Retrospective Studies Female Humans
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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...
Humans Machine Learning Male Middle Aged Ischemic Stroke Registries Prognosis Female Aged Aged, 80 and over Stroke Outcome Assessment, Health Care Endovascular Procedures Thrombectomy
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Advancing aneurysm management: the potential of AI and machine learning in enhancing safety and predictive accuracy.

Neurosurgical review Aug 14, 2024
Cerebral aneurysm rupture, the predominant cause of non-traumatic subarachnoid hemorrhage, underscores the need for effective treatment and early detection methods. A study in Neurosurgical Review compared microsurgical clipping to endovascular thera...
Meta-Analysis as Topic Humans Intracranial Aneurysm Neurosurgical Procedures Artificial Intelligence Endovascular Procedures Machine Learning Aneurysm, Ruptured Systematic Reviews as Topic
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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...
Humans Tomography, X-Ray Computed Female Aged Magnetic Resonance Imaging Ischemic Stroke Endovascular Procedures Thrombectomy Male Middle Aged Deep Learning Treatment Outcome
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Commentary: Detection of Endoleak After Endovascular Aortic Repair Through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology Aug 7, 2024
Blood Vessel Prosthesis Implantation Endovascular Procedures Endoleak Humans Endovascular Aneurysm Repair Tomography, X-Ray Computed Deep Learning
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Machine learning enhances assessment of proficiency in endovascular aortic repair simulations.

Current problems in surgery Aug 2, 2024
Endovascular Procedures Simulation Training Endovascular Aneurysm Repair Humans Machine Learning Clinical Competence
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Off-Label use of Woven EndoBridge device for intracranial brain aneurysm treatment: Modeling of occlusion outcome.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2024
INTRODUCTION: The Woven EndoBridge (WEB) device is emerging as a novel therapy for intracranial aneurysms, but its use for off-label indications requires further study. Using machine learning, we aimed to develop predictive models for complete occlus...
Off-Label Use Risk Factors Blood Vessel Prosthesis Implantation Decision Support Techniques Middle Aged Endovascular Procedures Aged Humans Retrospective Studies Risk Assessment Blood Vessel Prosthesis Adult Machine Learning Clinical Decision-Making Treatment Outcome Intracranial Aneurysm Male Female Prosthesis Design
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Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke.

BMC medical imaging Jul 19, 2024
OBJECTIVE: To establish a machine learning model based on radiomics and clinical features derived from non-contrast CT to predict futile recanalization (FR) in patients with anterior circulation acute ischemic stroke (AIS) undergoing endovascular tre...
Radiomics Male Middle Aged Nomograms Ischemic Stroke Endovascular Procedures Medical Futility Retrospective Studies Tomography, X-Ray Computed Female Humans Aged Machine Learning Prognosis
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Low energy virtual monochromatic CT with deep learning image reconstruction to improve delineation of endoleaks.

Clinical radiology Jul 9, 2024
AIM: This study aimed to investigate the utility of low-energy virtual monochromatic imaging (VMI) combined with deep-learning image reconstruction (DLIR) in improving the delineation of endoleaks (ELs) after endovascular aortic repair (EVAR) in cont...
Aged Humans Endoleak Contrast Media Aged, 80 and over Aortic Aneurysm, Abdominal Radiography, Dual-Energy Scanned Projection Retrospective Studies Male Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Endovascular Procedures Female
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Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology Jul 8, 2024
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.
Humans Blood Vessel Prosthesis Implantation Endovascular Procedures Computed Tomography Angiography Endoleak Male Endovascular Aneurysm Repair Retrospective Studies Deep Learning Female Predictive Value of Tests Aged Aortic Aneurysm, Abdominal Aged, 80 and over
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