Aortography

Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery 29042101

BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...

Adult Aged Aorta, Thoracic Aortic Aneurysm Aortic Valve Aortic Valve Insufficiency Aortic Valve Stenosis Aortography Bicuspid Aortic Valve Disease Computed Tomography Angiography Cross-Sectional Studies Diagnosis, Computer-Assisted Female Heart Valve Diseases Humans Machine Learning Male Middle Aged Pattern Recognition, Automated Phenotype Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sinus of Valsalva

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Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

Cardiovascular engineering and technology 31218516

PURPOSE: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients' lives due to its ruptur...

Aorta, Abdominal Aortic Aneurysm, Abdominal Aortography Automation Case-Control Studies Computed Tomography Angiography Humans Neural Networks, Computer Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results

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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology 32783134

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...

Aged Aged, 80 and over Aorta, Abdominal Aortic Aneurysm, Abdominal Aortography Computed Tomography Angiography Deep Learning Female Humans Imaging, Three-Dimensional Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies

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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 33309556

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...

Anatomic Landmarks Aortic Aneurysm, Abdominal Aortography Automation Computed Tomography Angiography Deep Learning Humans Multidetector Computed Tomography Observer Variation Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Software Design Workflow

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Artificial intelligence and automatic segmentation of abdominal aortic aneurysm: Past, present, and future.

Journal of vascular surgery 34172198

Aortic Aneurysm, Abdominal Aortography Artificial Intelligence Humans Radiographic Image Interpretation, Computer-Assisted

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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 34518071

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...

Adult Aged Aged, 80 and over Aortic Aneurysm, Abdominal Aortography Automation Computed Tomography Angiography Databases, Factual Deep Learning Female Humans Male Middle Aged Neural Networks, Computer Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Treatment Outcome Young Adult

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A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

Journal of digital imaging 35083618

Feasibility assessment and planning of thoracic endovascular aortic repair (TEVAR) require computed tomography (CT)-based analysis of geometric aortic features to identify adequate landing zones (LZs) for endograft deployment. However, no consensus e...

Aorta, Thoracic Aortography Blood Vessel Prosthesis Blood Vessel Prosthesis Implantation Computed Tomography Angiography Deep Learning Endovascular Procedures Humans Retrospective Studies Tomography, X-Ray Computed 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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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Cardiovascular engineering and technology 38388764

PURPOSE: Aorta segmentation is extremely useful in clinical practice, allowing the diagnosis of numerous pathologies, such as dissections, aneurysms and occlusive disease. In such cases, image segmentation is prerequisite for applying diagnostic algo...

Aorta Aortic Diseases Aortography Computed Tomography Angiography Humans Imaging, Three-Dimensional Machine Learning Markov Chains Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results

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Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements.

Journal of vascular surgery 38325564

OBJECTIVE: This study aims to evaluate a fully automatic deep learning-based method (augmented radiology for vascular aneurysm [ARVA]) for aortic segmentation and simultaneous diameter and volume measurements.

Aged Aged, 80 and over Aortic Aneurysm, Abdominal Aortography Automation Computed Tomography Angiography Datasets as Topic Deep Learning Female Humans Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies

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Explore the latest research on artificial intelligence and machine learning in medicine.

Machine-learning phenotypic classification of bicuspid aortopathy.

Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Artificial intelligence and automatic segmentation of abdominal aortic aneurysm: Past, present, and future.

Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements.

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