AIMC Topic: Endovascular Procedures

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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Adult Dilatation, Pathologic Male Middle Aged Risk Assessment Electronic Health Records Clinical Decision-Making Female Risk Factors Aged Blood Vessel Prosthesis Implantation Endovascular Procedures Vascular Remodeling Aorta Aortic Rupture Time Factors Treatment Outcome Support Vector Machine Aortic Dissection Aortic Aneurysm, Thoracic Humans Neural Networks, Computer Decision Support Techniques Retrospective Studies
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Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 26, 2021
OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, the effects of active cancer on reperfusion therapy outcomes are inconclusive. Thus, we aimed to compare the safety and outcomes of reperfusion therap...
Humans Machine Learning Female Recovery of Function Middle Aged Ischemic Stroke Risk Assessment Thrombolytic Therapy Risk Factors Neoplasms Endovascular Procedures Fibrinolytic Agents Time Factors Administration, Intravenous Treatment Outcome Aged Aged, 80 and over Male
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Impact of network performance on remote robotic-assisted endovascular interventions in porcine model.

Journal of robotic surgery Feb 7, 2021
Remote robotic-assisted endovascular interventions require real-time control of the robotic system to conduct precise device navigation. The delay (latency) between the input command and the catheter response can be affected by factors such as networ...
Robotic Surgical Procedures Endovascular Procedures Humans Animals Swine Treatment Outcome Robotics
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A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Recently, coronary heart disease has attracted more and more attention, where segmentation and analysis for vascular lumen contour are helpful for treatment. And intravascular optical coherence tomography (IVOCT) images are used to display lumen shap...
Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Endovascular Procedures Blood Vessels Humans Neural Networks, Computer Databases, Factual
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Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100.

AJNR. American journal of neuroradiology Jan 7, 2021
BACKGROUND AND PURPOSE: Traditional statistical models and pretreatment scoring systems have been used to predict the outcome for acute ischemic stroke patients (AIS). Our aim was to select the most relevant features in terms of outcome prediction on...
Endovascular Procedures Retrospective Studies Female Aged Humans Machine Learning Prognosis Cohort Studies Treatment Outcome Models, Statistical Ischemic Stroke Thrombolytic Therapy Male Middle Aged
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Flow driven robotic navigation of microengineered endovascular probes.

Nature communications Dec 22, 2020
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...
Phantoms, Imaging Ear Microfluidics Rheology Endovascular Procedures Catheters Humans Computer Simulation Temperature Animals Robotics Equipment Design Rabbits Magnetic Phenomena Translational Research, Biomedical
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Predictive score for complete occlusion of intracranial aneurysms treated by flow-diverter stents using machine learning.

Journal of neurointerventional surgery Nov 20, 2020
BACKGROUND: Complete occlusion of an intracranial aneurysm (IA) after the deployment of a flow-diverter stent is currently unpredictable. The aim of this study was to develop a predictive occlusion score based on pretreatment clinical and angiographi...
Humans Machine Learning Algorithms Prospective Studies Retrospective Studies Balloon Occlusion Female Follow-Up Studies Adult Predictive Value of Tests Male Endovascular Procedures Middle Aged Self Expandable Metallic Stents Cohort Studies Intracranial Aneurysm Treatment Outcome
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Machine learning for endoleak detection after endovascular aortic repair.

Scientific reports Oct 27, 2020
Diagnosis of endoleak following endovascular aortic repair (EVAR) relies on manual review of multi-slice CT angiography (CTA) by physicians which is a tedious and time-consuming process that is susceptible to error. We evaluate the use of a deep neur...
Humans Neural Networks, Computer Endoleak Machine Learning Aged Female Male Reproducibility of Results Endovascular Procedures Aorta Computed Tomography Angiography
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Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease.

Circulation. Cardiovascular interventions Oct 12, 2020
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro...
Ankle Brachial Index Endovascular Procedures Vascular Surgical Procedures Amputation, Surgical Diagnosis, Computer-Assisted Peripheral Arterial Disease Predictive Value of Tests Natural Language Processing Aged Data Mining Humans Aged, 80 and over Electronic Health Records Male Female Middle Aged Reproducibility of Results
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Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.

Vascular and endovascular surgery Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Risk Assessment Endovascular Procedures Deep Learning Female Enhanced Recovery After Surgery Risk Factors Length of Stay Health Services Research Aged Time Factors Aortic Aneurysm Aged, 80 and over Humans Smartphone Male Mobile Applications Decision Support Techniques Databases, Factual Treatment Outcome Clinical Decision-Making Patient Discharge Patient Selection Multivariate Analysis
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