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Endovascular Aneurysm Repair

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Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists 35815701
PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during a procedure, which are currently mostly assessed by eye. In this paper, we present fully automatic segmentation of the stent graft on the completion d...
Angiography, Digital Subtraction Aortic Aneurysm, Abdominal Blood Vessel Prosthesis Blood Vessel Prosthesis Implantation Deep Learning Endoleak Endovascular Aneurysm Repair Endovascular Procedures Humans Retrospective Studies Stents Treatment Outcome
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Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists 36927177
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Adult Aged Aorta, Thoracic Aortic Aneurysm, Thoracic Aortic Dissection Aortography Blood Vessel Prosthesis Implantation Computed Tomography Angiography Decision Support Techniques Deep Learning Endovascular Aneurysm Repair Endovascular Procedures Female Humans Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Factors Time Factors Treatment Outcome Vascular Remodeling
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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 38696098
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 Aortic Aneurysm, Thoracic Computed Tomography Angiography Endoleak Endovascular Aneurysm Repair Endovascular Procedures Female Humans Machine Learning Male Middle Aged
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Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology 38977447
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Blood Vessel Prosthesis Implantation Computed Tomography Angiography Deep Learning Endoleak Endovascular Aneurysm Repair Endovascular Procedures Female Humans Male Predictive Value of Tests Retrospective Studies
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Machine learning enhances assessment of proficiency in endovascular aortic repair simulations.

Current problems in surgery 39266132
Clinical Competence Endovascular Aneurysm Repair Endovascular Procedures Humans Machine Learning Simulation Training
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Commentary: Detection of Endoleak After Endovascular Aortic Repair Through Deep Learning Based on Non-contrast CT.

Cardiovascular and interventional radiology 39110204
Blood Vessel Prosthesis Implantation Deep Learning Endoleak Endovascular Aneurysm Repair Endovascular Procedures Humans Tomography, X-Ray Computed
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Volume Measurements for Surveillance after Endovascular Aneurysm Repair using Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery 39237055
OBJECTIVE: Surveillance after endovascular aneurysm repair (EVAR) is suboptimal due to limited compliance and relatively large variability in measurement methods of abdominal aortic aneurysm (AAA) sac size after treatment. Measuring volume offers a m...
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Aortography Artificial Intelligence Blood Vessel Prosthesis Implantation Computed Tomography Angiography Endovascular Aneurysm Repair Endovascular Procedures Female Humans Male Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Software Treatment Outcome
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery 39580030
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Blood Vessel Prosthesis Implantation Clinical Decision-Making Decision Support Techniques Decision Trees Endovascular Aneurysm Repair Endovascular Procedures Female Humans Machine Learning Male Middle Aged Nutritional Status Predictive Value of Tests Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome
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Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

The Journal of surgical research 39793306
INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients undergoing endovascular aortic repair (EVAR) for abdominal aortic aneurysms (AAA) was developed using machine learning-based decision tree analysis.
Aged Aged, 80 and over Aortic Aneurysm, Abdominal Decision Trees Endoleak Endovascular Aneurysm Repair Endovascular Procedures Female Humans Machine Learning Male Middle Aged Pulse Wave Analysis Retrospective Studies Risk Assessment Risk Factors Smoking Treatment Outcome
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