AIMC Topic: Thrombectomy

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Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 18, 2021
OBJECTIVES: The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a promising tool for the evaluation of stroke expansion to determine suitability for reperfusion therapy. The aim of this study was to validate deep learning-based AS...
Reproducibility of Results Aged Humans Aged, 80 and over Male Radiographic Image Interpretation, Computer-Assisted Prognosis Tomography, X-Ray Computed Stroke Clinical Decision-Making Retrospective Studies Patient Selection Female Deep Learning Thrombectomy Imaging, Three-Dimensional Predictive Value of Tests Thrombolytic Therapy
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A Review of Robotic Interventional Neuroradiology.

AJNR. American journal of neuroradiology Feb 4, 2021
Robotic interventional neuroradiology is an emerging field with the potential to enhance patient safety, reduce occupational hazards, and expand systems of care. Endovascular robots allow the operator to precisely control guidewires and catheters fro...
Humans Robotics Telemedicine Stroke Radiography, Interventional Thrombectomy Nervous System Diseases
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Robot-assisted versus open surgery for radical nephrectomy with level 1-2 vena cava tumor thrombectomy: a French monocenter experience (UroCCR study #73).

Minerva urology and nephrology Nov 17, 2020
BACKGROUND: The aim of this paper was to assess the feasibility of robot-assisted radical nephrectomy (RN) with inferior vena cava thrombectomy (RRVCT) and compare perioperative and oncological outcomes of this approach to open surgery for renal tumo...
Humans Retrospective Studies Robotics Neoplastic Cells, Circulating Thrombectomy Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy
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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...
Sensitivity and Specificity Male Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Prospective Studies Female Aged Thrombectomy Computed Tomography Angiography Cerebral Angiography Diffusion Magnetic Resonance Imaging Humans Machine Learning Software
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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 Machine Learning Tomography, X-Ray Computed Decision Trees Stroke Humans
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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...
Thrombectomy Arterial Occlusive Diseases Humans Triage Artificial Intelligence Emergency Service, Hospital Stroke Brain Ischemia
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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
Thrombectomy Vena Cava, Inferior Robotics Laparoscopy Robotic Surgical Procedures Humans Nephrectomy Neoplasms
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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...
Aged, 80 and over Male Middle Aged Cohort Studies Treatment Outcome Machine Learning Predictive Value of Tests Thrombectomy Retrospective Studies Cerebrovascular Disorders Humans Female Aged
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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...
Computed Tomography Angiography Stroke Patient Selection Cerebral Angiography Automation Collateral Circulation Clinical Decision-Making Blood Flow Velocity Predictive Value of Tests Thrombectomy Triage Cerebrovascular Circulation Radiographic Image Interpretation, Computer-Assisted Middle Cerebral Artery Humans Machine Learning Prognosis
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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...
Endovascular Procedures Thrombectomy Humans Cohort Studies Machine Learning Female Prospective Studies Treatment Outcome Aged, 80 and over Retrospective Studies Stroke Male Patient Selection
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