AIMC Topic: Aortography

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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Multidetector Computed Tomography Computed Tomography Angiography Transcatheter Aortic Valve Replacement Aortography Deep Learning Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Female Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Male
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Retrospective Studies Female Reproducibility of Results Risk Factors Aged Humans Artificial Intelligence Decision Support Techniques Prognosis Case-Control Studies Computed Tomography Angiography Decision Trees Aortography Denmark Aortic Rupture Predictive Value of Tests Aortic Aneurysm, Abdominal Aged, 80 and over Male Middle Aged Risk Assessment
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Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

Academic radiology Nov 13, 2024
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in aortic computed tomography angiography (CTA) through the application of low tube voltage (60kVp) and a novel deep learning image reconstruction algorit...
Feasibility Studies Radiation Dosage Aorta Phantoms, Imaging Computed Tomography Angiography Middle Aged Deep Learning Contrast Media Radiographic Image Interpretation, Computer-Assisted Aortography Humans Algorithms Prospective Studies Female Aged Male
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Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports.

Annals of vascular surgery Oct 16, 2024
BACKGROUND: Incidental findings of aortic aneurysms (AAs) often go unreported, and established patients are frequently lost to follow-up. Natural language processing (NLP) offers a promising solution to address these issues. While rule-based NLP meth...
Humans Appointments and Schedules Radiology Information Systems Aortic Aneurysm Electronic Health Records Incidental Findings Predictive Value of Tests Aortography Natural Language Processing Workflow Data Mining
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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 Sep 3, 2024
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...
Endovascular Procedures Computed Tomography Angiography Aortography Endovascular Aneurysm Repair Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Blood Vessel Prosthesis Implantation Reproducibility of Results Aged Aged, 80 and over Male Humans Artificial Intelligence Software Retrospective Studies Female
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Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Jul 30, 2024
OBJECTIVE: Segmenting the aorta into zones based on anatomical landmarks is a current trend to better understand interventions for aortic dissection or aneurysm. However, comprehensive reference values for aortic zones are lacking. The aim of this st...
Deep Learning Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Reference Values Healthy Volunteers Female Aorta, Thoracic Humans Aged Aortography Retrospective Studies Adult Tomography, X-Ray Computed Male Republic of Korea Middle Aged
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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...
Humans Machine Learning Retrospective Studies Endovascular Procedures Computed Tomography Angiography Blood Vessel Prosthesis Aortography Endoleak Treatment Outcome Female Predictive Value of Tests Risk Factors Aortic Aneurysm, Abdominal Aged Aorta, Abdominal Aged, 80 and over Blood Vessel Prosthesis Implantation Male
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Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.

Journal of vascular surgery Jun 6, 2024
BACKGROUND: Machine learning techniques have shown excellent performance in three-dimensional medical image analysis, but have not been applied to acute uncomplicated type B aortic dissection (auTBAD) using Society for Vascular Surgery (SVS) and Soci...
Male Middle Aged Disease Progression Deep Learning Time Factors Retrospective Studies Female Humans Reproducibility of Results Aged Aortic Dissection Aortic Aneurysm, Thoracic Computed Tomography Angiography Imaging, Three-Dimensional Aortic Aneurysm Predictive Value of Tests Aortography Acute Disease Radiographic Image Interpretation, Computer-Assisted Automation
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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...
Equipment Design Animals Robotic Surgical Procedures Endovascular Procedures Swine Aortography Robotics
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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Cardiovascular engineering and technology Feb 22, 2024
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...
Aortic Diseases Predictive Value of Tests Aortography Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Markov Chains Reproducibility of Results Aorta Imaging, Three-Dimensional Computed Tomography Angiography
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