AIMC Topic: Aorta, Abdominal

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Automatic Segmentation of Abdominal Aortic Aneurysms From Time-Resolved 3-D Ultrasound Images Using Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Abdominal aortic aneurysms (AAAs) are rupture-prone dilatations of the aorta. In current clinical practice, the maximal diameter of AAAs is monitored with 2-D ultrasound to estimate their rupture risk. Recent studies have shown that 3-D and mechanica...
Female Aged Male Humans Algorithms Imaging, Three-Dimensional Aortic Aneurysm, Abdominal Middle Aged Image Interpretation, Computer-Assisted Aorta, Abdominal Deep Learning Ultrasonography
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Beyond strong labels: Weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs.

Medical image analysis Oct 30, 2024
Deep learning-based automated segmentation of vascular structures in preoperative CT angiography (CTA) images contributes to computer-assisted diagnosis and interventions. While CTA is the common standard, non-contrast CT imaging has the advantage of...
Normal Distribution Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Aorta, Abdominal Computed Tomography Angiography Humans
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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...
Female Risk Factors Aged Humans Machine Learning Retrospective Studies Predictive Value of Tests Aortic Aneurysm, Abdominal Aorta, Abdominal Blood Vessel Prosthesis Implantation Aged, 80 and over Male Treatment Outcome Aortography Endoleak Endovascular Procedures Computed Tomography Angiography Blood Vessel Prosthesis
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Quantifying the calcification of abdominal aorta and major side branches with deep learning.

Clinical radiology Feb 3, 2024
AIM: To explore the possibility of a neural network-based method for quantifying calcifications of the abdominal aorta and its branches.
Humans Deep Learning Calcinosis Aorta, Abdominal Computed Tomography Angiography Renal Artery
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CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture.

European radiology Nov 24, 2023
BACKGROUND: Abdominal aortic aneurysm (AAA) rupture prediction based on sex and diameter could be improved. The goal was to assess whether aortic calcification distribution could better predict AAA rupture through machine learning and LASSO regressio...
Aorta, Abdominal Vascular Calcification Aortic Rupture Male Predictive Value of Tests Aortic Aneurysm, Abdominal Humans Machine Learning Aged Tomography, X-Ray Computed Retrospective Studies Aged, 80 and over Female
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Segmentation of the aorta in systolic phase from 4D flow MRI: multi-atlas vs. deep learning.

Magma (New York, N.Y.) Feb 17, 2023
OBJECTIVE: In the management of the aortic aneurysm, 4D flow magnetic resonance Imaging provides valuable information for the computation of new biomarkers using computational fluid dynamics (CFD). However, accurate segmentation of the aorta is requi...
Magnetic Resonance Imaging Aorta, Abdominal Blood Flow Velocity Humans Deep Learning Image Processing, Computer-Assisted
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Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction.

IEEE transactions on medical imaging Dec 29, 2022
Prediction of abdominal aortic aneurysm (AAA) growth is of essential importance for the early treatment and surgical intervention of AAA. Capturing key features of vascular growth, such as blood flow and intraluminal thrombus (ILT) accumulation play ...
Humans Hemodynamics Deep Learning Aortic Aneurysm, Abdominal Thrombosis Aorta, Abdominal
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Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.

Journal of vascular surgery Oct 31, 2022
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of these AAA and the need for long-term follow-up. We sought to evaluate the outcome of a nurse-naviga...
Humans Natural Language Processing Prospective Studies Aorta, Abdominal Retrospective Studies Vascular Surgical Procedures 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 ...
Humans Artificial Intelligence Retrospective Studies Aorta, Abdominal Blood Vessel Prosthesis Implantation Endovascular Procedures Deep Learning Treatment Outcome Aortic Aneurysm, Abdominal
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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...
Biomechanical Phenomena Computed Tomography Angiography Prognosis ROC Curve Area Under Curve Humans Tomography, X-Ray Computed Aortic Aneurysm, Abdominal Models, Cardiovascular Disease Management Clinical Decision-Making Machine Learning Aortic Rupture Aorta, Abdominal Algorithms
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