AIMC Topic: Thrombectomy

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Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Neuroradiology Apr 22, 2020
PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix softwa...
Female Aged Sensitivity and Specificity Male Humans Machine Learning Software Prospective Studies Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Thrombectomy Computed Tomography Angiography Cerebral Angiography Diffusion Magnetic Resonance Imaging
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Clot Analog Attenuation in Non-contrast CT Predicts Histology: an Experimental Study Using Machine Learning.

Translational stroke research Jan 14, 2020
Exact histological clot composition remains unknown. The purpose of this study was to identify the best imaging variables to be extrapolated on clot composition and clarify variability in the imaging of thrombi by non-contrast CT. Using a CT-phantom ...
Thrombosis Erythrocytes Thrombectomy Intracranial Thrombosis Tomography, X-Ray Computed Decision Trees Stroke Humans Machine Learning
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Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.

Journal of neurointerventional surgery Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Emergency Service, Hospital Stroke Thrombectomy Brain Ischemia Humans Arterial Occlusive Diseases Artificial Intelligence Triage
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Re: Baojun Wang, Qingbo Huang, Kan Liu, et al. Robot-assisted Level III-IV Inferior Vena Cava Thrombectomy: Initial Series with Step-by-step Procedures and 1-yr Outcomes. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.04.019: Robotic-assisted Laparoscopic Radical Nephrectomy and Tumor Thrombectomy: Is It Exclusively the Approach that Matters?

European urology Sep 20, 2019
Vena Cava, Inferior Robotic Surgical Procedures Nephrectomy Thrombectomy Humans Neoplasms Robotics Laparoscopy
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Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning.

Stroke Aug 14, 2019
Background and Purpose- The clinical course of acute ischemic stroke with large vessel occlusion (LVO) is a multifactorial process with various prognostic factors. We aimed to model this process with machine learning and predict the long-term clinica...
Humans Machine Learning Aged, 80 and over Retrospective Studies Treatment Outcome Male Female Predictive Value of Tests Middle Aged Aged Cerebrovascular Disorders Cohort Studies Thrombectomy
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Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Cerebrovascular diseases (Basel, Switzerland) Jun 19, 2019
Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefit from mechanical thrombectomy and those more likely to have good outcomes and ranges from 0 (no collaterals) to 3 (complete collaterals). In this stu...
Stroke Humans Patient Selection Machine Learning Automation Thrombectomy Predictive Value of Tests Computed Tomography Angiography Prognosis Blood Flow Velocity Cerebrovascular Circulation Triage Clinical Decision-Making Middle Cerebral Artery Cerebral Angiography Radiographic Image Interpretation, Computer-Assisted Collateral Circulation
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Using machine learning to optimize selection of elderly patients for endovascular thrombectomy.

Journal of neurointerventional surgery Feb 2, 2019
BACKGROUND: Endovascular thrombectomy (ET) is the standard of care for treatment of acute ischemic stroke (AIS) secondary to large vessel occlusion. The elderly population has been under-represented in clinical trials on ET, and recent studies have r...
Treatment Outcome Stroke Patient Selection Endovascular Procedures Thrombectomy Female Machine Learning Aged, 80 and over Humans Prospective Studies Male Retrospective Studies Cohort Studies
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Reply by Authors.

The Journal of urology Feb 9, 2018
Robotic Surgical Procedures Thrombectomy Vena Cava, Inferior Research Design Robotics
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Editorial Comment.

The Journal of urology Sep 1, 2017
Thrombectomy Research Design Vena Cava, Inferior Robotics Robotic Surgical Procedures
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`Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) Acute Ischemic Stroke Registry.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 1, 2025
INTRODUCTION: Mechanical Thrombectomy (MT) is the standard of care in the interventional management of Acute Ischemic Stroke (AIS). The NVQI-QOD registry records detailed patient characteristics, pre-operative imaging, procedure metrics, and post-ope...
Middle Aged Time Factors Treatment Outcome Recovery of Function Aged Aged, 80 and over Male Neural Networks, Computer Registries Machine Learning Stroke Decision Support Techniques Humans Predictive Value of Tests Thrombectomy Ischemic Stroke Ensemble Learning Disability Evaluation Databases, Factual Functional Status Clinical Decision-Making Female Risk Factors
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