AIMC Topic: Aortic Dissection

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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 Mar 16, 2023
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...
Time Factors Treatment Outcome Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Adult Male Middle Aged Deep Learning Endovascular Procedures Vascular Remodeling Computed Tomography Angiography Aortography Endovascular Aneurysm Repair Aorta, Thoracic Aortic Dissection Aortic Aneurysm, Thoracic Humans Blood Vessel Prosthesis Implantation Female Decision Support Techniques Risk Factors Retrospective Studies Aged
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Artificial Intelligence Applications in Aortic Dissection Imaging.

Seminars in roentgenology Jul 30, 2022
Artificial Intelligence Diagnostic Imaging Aortic Dissection Humans
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A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection.

The Canadian journal of cardiology Oct 4, 2021
BACKGROUND: Chest pain is the most common symptom of aortic dissection (AD), but it is often confused with other prevalent cardiopulmonary diseases. We aimed to develop deep-learning models (DLMs) with electrocardiography (ECG) and chest x-ray (CXR) ...
Humans Predictive Value of Tests Radiography, Thoracic Aortic Dissection Algorithms Retrospective Studies Deep Learning Electrocardiography
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Middle Aged Risk Assessment Time Factors Treatment Outcome Aged Adult Dilatation, Pathologic Male Endovascular Procedures Vascular Remodeling Aorta Aortic Rupture Support Vector Machine Aortic Dissection Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Humans Neural Networks, Computer Decision Support Techniques Retrospective Studies Electronic Health Records Clinical Decision-Making Female Risk Factors
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A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Korean journal of radiology Nov 3, 2020
OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).
Body Mass Index Aortic Dissection Aorta Retrospective Studies Computed Tomography Angiography Female Adult Male Middle Aged Humans Deep Learning Imaging, Three-Dimensional
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Radiomic Model for Distinguishing Dissecting Aneurysms from Complicated Saccular Aneurysms on high-Resolution Magnetic Resonance Imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 8, 2020
OBJECTIVE: To build radiomic model in differentiating dissecting aneurysm (DA) from complicated saccular aneurysm (SA) based on high-resolution magnetic resonance imaging (HR-MRI) through machine-learning algorithm.
Humans Diagnosis, Differential Machine Learning Predictive Value of Tests Adult Intracranial Aneurysm Retrospective Studies Image Interpretation, Computer-Assisted Male Female Middle Aged Aortic Dissection Reproducibility of Results Magnetic Resonance Imaging Aged
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Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT.

European radiology Aug 28, 2020
OBJECTIVES: To develop a deep learning-based algorithm to detect aortic dissection (AD) and evaluate the diagnostic ability of the algorithm compared with those of radiologists.
Humans Algorithms Tomography, X-Ray Computed Aortic Dissection Deep Learning Radiologists
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Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology Oct 17, 2019
PURPOSE: This study sought to establish a robust and fully automated Type B aortic dissection (TBAD) segmentation method by leveraging the emerging deep learning techniques.
Aortic Aneurysm Image Interpretation, Computer-Assisted Aortic Dissection Aorta Computed Tomography Angiography Adult Male Middle Aged Deep Learning Humans Retrospective Studies Female Aged Aged, 80 and over
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A machine learning model to classify aortic dissection patients in the early diagnosis phase.

Scientific reports Feb 25, 2019
Aortic dissection is one of the most clinical-challenging and life-threatening cardiovascular diseases associated with high morbidity and mortality. Aortic dissection requires fast diagnosis and timely therapy. Any delay or misdiagnosis can cause sev...
Female Young Adult Adult Humans Middle Aged Male Machine Learning Area Under Curve Algorithms Bayes Theorem Aortic Dissection
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Aortic remodeling after hybrid provisional extension to induce complete attachment aortic repair of chronic residual type I aortic dissection.

The Journal of thoracic and cardiovascular surgery Dec 22, 2018
OBJECTIVES: Our objective was to examine the role of the provisional extension to induce complete attachment (PETTICOAT) aortic dissection repair technique with bare metal stents (BMSs) in abdominal remodeling of residual DeBakey type I aortic dissec...
Chronic Disease Vascular Remodeling Stents Aorta, Thoracic Aortic Dissection Aorta, Abdominal Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Humans Male Retrospective Studies Middle Aged Female Time Factors Aged Treatment Outcome
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