Aortic Aneurysm, Abdominal

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Fully automatic volume segmentation using deep learning approaches to assess aneurysmal sac evolution after infrarenal endovascular aortic repair.

Journal of vascular surgery May 23, 2022
OBJECTIVE: Endovascular aortic repair (EVAR) surveillance relies on serial measurements of the maximal diameter despite significant inter- and intraobserver variability. Volumetric measurements are more sensitive; however, their general use has been ...
Treatment Outcome Aortic Aneurysm, Abdominal Aorta, Abdominal Blood Vessel Prosthesis Implantation Endovascular Procedures Humans Artificial Intelligence Retrospective Studies Deep Learning
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Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

BioMed research international Mar 7, 2022
OBJECTIVES: Abdominal aortic aneurysm (AAA), a disease with high mortality, is limited by the current diagnostic methods in the early screening. This study aimed to screen novel and significant biomarkers and construct a diagnostic model for AAA by u...
(1)
Databases, Genetic Aortic Aneurysm, Abdominal Metabolic Networks and Pathways Gene Ontology Humans Neural Networks, Computer Diagnosis, Computer-Assisted
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Deep Learning to Automatically Segment and Analyze Abdominal Aortic Aneurysm from Computed Tomography Angiography.

Cardiovascular engineering and technology Jan 8, 2022
PURPOSE: Although segmentation of Abdominal Aortic Aneurysms (AAA) thrombus is a crucial step for both the planning of endovascular treatment and the monitoring of the intervention's outcome, it is still performed manually implying time consuming ope...
(2)
Humans Deep Learning Aortic Aneurysm, Abdominal Thrombosis Computed Tomography Angiography
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Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 10, 2021
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measureme...
Aged, 80 and over Young Adult Adult Male Middle Aged Retrospective Studies Female Reproducibility of Results Aged Radiographic Image Interpretation, Computer-Assisted Automation Computed Tomography Angiography Aortography Deep Learning Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Abdominal Humans Neural Networks, Computer Databases, Factual
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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports Sep 10, 2021
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Humans Area Under Curve Disease Management Aorta, Abdominal Computed Tomography Angiography Machine Learning Clinical Decision-Making Models, Cardiovascular Algorithms Biomechanical Phenomena Aortic Rupture Prognosis ROC Curve Tomography, X-Ray Computed Aortic Aneurysm, Abdominal
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Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.

Biomechanics and modeling in mechanobiology Jul 31, 2021
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease-carotid artery stenosis (CAS), subclavian artery stenosis (SAS...
(1)
Peripheral Arterial Disease Aortic Aneurysm, Abdominal Models, Biological Regional Blood Flow Carotid Stenosis Subclavian Artery Databases, Factual Sensitivity and Specificity Severity of Illness Index User-Computer Interface Humans Neural Networks, Computer Machine Learning Algorithms
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Validation of natural language processing to determine the presence and size of abdominal aortic aneurysms in a large integrated health system.

Journal of vascular surgery Feb 4, 2021
OBJECTIVE: Previous studies of the natural history of abdominal aortic aneurysms (AAAs) have been limited by small cohort sizes or heterogeneous analyses of pooled data. By quickly and efficiently extracting imaging data from the health records, natu...
Male Clinical Decision-Making Humans Aortic Aneurysm, Abdominal Registries Female Diagnosis, Computer-Assisted Prognosis Image Interpretation, Computer-Assisted Natural Language Processing Delivery of Health Care, Integrated United States Predictive Value of Tests Reproducibility of Results Aged Aged, 80 and over
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Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Journal of vascular surgery Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Predictive Value of Tests Aortic Aneurysm, Abdominal Anatomic Landmarks Radiographic Image Interpretation, Computer-Assisted Humans Automation Software Design Workflow Retrospective Studies Multidetector Computed Tomography Aortography Reproducibility of Results Observer Variation Computed Tomography Angiography Deep Learning
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Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

Vascular Aug 24, 2020
OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.
Foreign-Body Migration Endoleak Blood Vessel Prosthesis Implantation Endovascular Procedures Graft Occlusion, Vascular Blood Vessel Prosthesis Risk Factors Middle Aged Humans Aged Risk Assessment Decision Trees Artificial Intelligence Aged, 80 and over Postoperative Complications Treatment Outcome Aortic Aneurysm, Abdominal Male Prospective Studies Time Factors Support Vector Machine Pattern Recognition, Automated Female
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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology Aug 11, 2020
PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by man...
(2)
Radiographic Image Interpretation, Computer-Assisted Humans Aorta, Abdominal Retrospective Studies Computed Tomography Angiography Aortography Female Imaging, Three-Dimensional Middle Aged Aged Predictive Value of Tests Deep Learning Aged, 80 and over Aortic Aneurysm, Abdominal Male
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