AIMC Topic: Endovascular Procedures

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Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Jul 6, 2024
OBJECTIVE: Challenging infrarenal aortic neck characteristics have been associated with an increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short apposition (< 10 mm circumferential shortest apposition length [SAL]) on th...
Aged Aged, 80 and over Male Treatment Outcome Machine Learning Retrospective Studies Female Risk Factors Endovascular Procedures Computed Tomography Angiography Blood Vessel Prosthesis Aortography Endoleak Predictive Value of Tests Aortic Aneurysm, Abdominal Aorta, Abdominal Blood Vessel Prosthesis Implantation Humans
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Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study.

Journal of cardiothoracic surgery Jun 25, 2024
BACKGROUND: Arteriosclerosis obliterans (ASO) is a chronic arterial disease that can lead to critical limb ischemia. Endovascular therapy is increasingly used for limb salvage in ASO patients, but the outcomes vary. The development of prediction mode...
Female Humans Endovascular Procedures Aged Male Arteriosclerosis Obliterans Nomograms Machine Learning Middle Aged Unsupervised Machine Learning Prognosis Retrospective Studies
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Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs.

Physical and engineering sciences in medicine May 2, 2024
To predict endoleaks after thoracic endovascular aneurysm repair (TEVAR) we submitted patient characteristics and vessel features observed on pre- operative computed tomography angiography (CTA) to machine-learning. We evaluated 1-year follow-up CT s...
Aged Aged, 80 and over Male Middle Aged Aortic Aneurysm, Thoracic Humans Machine Learning Female Endovascular Procedures Computed Tomography Angiography Endoleak Endovascular Aneurysm Repair
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Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning.

Journal of the American Heart Association Apr 19, 2024
BACKGROUND: Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predi...
Risk Assessment Time Factors Treatment Outcome Lower Extremity Endovascular Procedures Amputation, Surgical Limb Salvage Peripheral Arterial Disease Stents Risk Factors Aged Male Middle Aged Machine Learning Databases, Factual Retrospective Studies Female Humans
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Deep learning-based radiomics of computed tomography angiography to predict adverse events after initial endovascular repair for acute uncomplicated Stanford type B aortic dissection.

European journal of radiology Apr 15, 2024
PURPOSE: This study aimed to construct a predictive model integrating deep learning-derived radiomic features from computed tomography angiography (CTA) and clinical biomarkers to forecast postoperative adverse events (AEs) in patients with acute unc...
Postoperative Complications Deep Learning Aged Predictive Value of Tests Aortic Dissection Humans Radiomics Endovascular Procedures Acute Disease Aortic Aneurysm, Thoracic Retrospective Studies Male Computed Tomography Angiography Female Middle Aged
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Bridging the gap: robotic applications in cerebral aneurysms neurointerventions - a systematic review.

Neurosurgical review Apr 11, 2024
Cerebral aneurysm is a life-threatening condition, which requires high precision during the neurosurgical procedures. Increasing progress of evaluating modern devices in medicine have led to common usage of robotic systems in many fields, including c...
Robotic Surgical Procedures Stents Embolization, Therapeutic Endovascular Procedures Humans Retrospective Studies Treatment Outcome Robotics Intracranial Aneurysm
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Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries.

The journal of trauma and acute care surgery Mar 29, 2024
BACKGROUND: The optimal management of blunt thoracic aortic injury (BTAI) remains controversial, with experienced centers offering therapy ranging from medical management to TEVAR. We investigated the utility of a machine learning (ML) algorithm to d...
Endovascular Procedures Injury Severity Score Vascular System Injuries Hospital Mortality Logistic Models Prognosis Registries Thoracic Injuries Aorta, Thoracic Humans Risk Factors Retrospective Studies Machine Learning Adult Wounds, Nonpenetrating Algorithms Male Female Middle Aged
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Performance Evaluation of a Miniature and Disposable Endovascular Robotic Device.

Cardiovascular and interventional radiology Mar 21, 2024
PURPOSE: The LIBERTY® Robotic System is a miniature, single-use device designed to facilitate remote-controlled navigation to intravascular targets. We aim to evaluate the robot's performance to manipulate a range of microguidewires and microcatheter...
Animals Equipment Design Robotic Surgical Procedures Endovascular Procedures Swine Robotics Aortography
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CT angiography prior to endovascular procedures: can artificial intelligence improve reporting?

Physical and engineering sciences in medicine Jan 31, 2024
CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for evaluation of aortic dimensions and access sites. A detailed report is crucial to a proper planning. We assessed Artificial Intelligence (AI)-algorith...
Aorta Aged Humans Computed Tomography Angiography Aged, 80 and over Artificial Intelligence Transcatheter Aortic Valve Replacement Male Algorithms Endovascular Procedures Female
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Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

European radiology Jan 29, 2024
BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (D...
Ischemic Stroke Thrombolytic Therapy Fibrinolytic Agents Endovascular Procedures Middle Aged Deep Learning Treatment Outcome Cerebral Hemorrhage Humans Tomography, X-Ray Computed Female White Matter Aged Male
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