AIMC Topic: Aortic Dissection

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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).
Computed Tomography Angiography Body Mass Index Aortic Dissection Aorta Retrospective Studies Female Adult Male Middle Aged Deep Learning Imaging, Three-Dimensional Humans
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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.
Image Interpretation, Computer-Assisted Aortic Dissection Intracranial Aneurysm Magnetic Resonance Imaging Diagnosis, Differential Predictive Value of Tests Machine Learning Retrospective Studies Female Reproducibility of Results Aged Adult Male Middle Aged Humans
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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.
Deep Learning Humans Radiologists Algorithms Aortic Dissection Tomography, X-Ray Computed
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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.
Middle Aged Deep Learning Image Interpretation, Computer-Assisted Aortic Dissection Aorta Computed Tomography Angiography Aortic Aneurysm Aged Aged, 80 and over Adult Male Humans Retrospective Studies Female
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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...
Humans Middle Aged Young Adult Machine Learning Area Under Curve Adult Algorithms Bayes Theorem Male Female 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...
Aged Treatment Outcome Male Humans Aorta, Thoracic Chronic Disease Retrospective Studies Middle Aged Stents Female Aortic Dissection Time Factors Blood Vessel Prosthesis Implantation Aorta, Abdominal Endovascular Procedures Aortic Aneurysm, Thoracic Vascular Remodeling
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation.

Journal of medical Internet research Jun 10, 2025
BACKGROUND: Mesenteric malperfusion (MMP) is an uncommon but devastating complication of acute aortic dissection (AAD) that combines 2 life-threatening conditions-aortic dissection and acute mesenteric ischemia. The complex pathophysiology of MMP pos...
Middle Aged Risk Assessment Retrospective Studies Deep Learning Female Humans Acute Disease Algorithms Aged Aortic Dissection Male Mesenteric Ischemia
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Role of Artificial Intelligence in Detecting and Classifying Aortic Dissection: Where Are We? A Systematic Review and Meta-Analysis.

Radiology. Cardiothoracic imaging Jun 1, 2025
Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting and classifying aortic dissection (AD) from CT images through a systematic review and meta-analysis. Materials and Methods PubMed, Web of Science, Emba...
Tomography, X-Ray Computed Sensitivity and Specificity Aortic Dissection Aortic Aneurysm Humans Artificial Intelligence
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Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning.

IEEE journal of biomedical and health informatics Jun 1, 2025
Fast virtual stenting (FVS) is a promising preoperative planning aid for thoracic endovascular aortic repair (TEVAR) of aortic dissection. It aims at digitally predicting the reshaped aortic true lumen (TL) under specific operation plans (stent-graft...
Humans Female Aged Aorta, Thoracic Aortic Dissection Aortic Aneurysm, Thoracic Endovascular Procedures Male Middle Aged Deep Learning Stents Endovascular Aneurysm Repair
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ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.

PloS one Jan 1, 2025
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions. However, these methods often face challenges of high computational c...
Hemodynamics Peripheral Arterial Disease Stress, Mechanical Aortic Dissection Neural Networks, Computer Machine Learning Humans Computer Simulation Hydrodynamics Models, Cardiovascular
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