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Aortic Dissection

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Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology 31683252
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.
Adult Aged Aged, 80 and over Aorta Aortic Aneurysm Aortic Dissection Computed Tomography Angiography Deep Learning Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Retrospective Studies
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging 31515752
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Aorta Aortic Dissection Aortic Rupture Contrast Media Female Humans Male Middle Aged Neural Networks, Computer Prospective Studies Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed
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Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT.

European radiology 32857203
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.
Algorithms Aortic Dissection Deep Learning Humans Radiologists Tomography, X-Ray Computed
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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 32992167
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.
Adult Aged Aortic Dissection Diagnosis, Differential Female Humans Image Interpretation, Computer-Assisted Intracranial Aneurysm Machine Learning Magnetic Resonance Imaging Male Middle Aged Predictive Value of Tests Reproducibility of Results Retrospective Studies
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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 33236538
OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).
Adult Aorta Aortic Dissection Body Mass Index Computed Tomography Angiography Deep Learning Female Humans Imaging, Three-Dimensional Male Middle Aged Retrospective Studies
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery 33823266
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).
Adult Aged Aorta Aortic Aneurysm, Thoracic Aortic Dissection Aortic Rupture Blood Vessel Prosthesis Implantation Clinical Decision-Making Decision Support Techniques Dilatation, Pathologic Electronic Health Records Endovascular Procedures Female Humans Male Middle Aged Neural Networks, Computer Retrospective Studies Risk Assessment Risk Factors Support Vector Machine Time Factors Treatment Outcome Vascular Remodeling
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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 34619339
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) ...
Algorithms Aortic Dissection Deep Learning Electrocardiography Humans Predictive Value of Tests Radiography, Thoracic Retrospective Studies
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Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 34892087
Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for developing late complications. Identification of morphologic features for improving risk stratification of these patients requires automated segmentation of...
Aortic Aneurysm, Thoracic Aortic Dissection Deep Learning Humans Retrospective Studies Thrombosis
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A Cascaded Deep Learning Framework for Detecting Aortic Dissection Using Non-contrast Enhanced Computed Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 34891855
Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this study is to synthesize contrast enhanced computed tomography (CE-CT) images from non-contrast CT (NCE-CT) images for detecting aortic dissection. In t...
Aorta Aortic Dissection Deep Learning Humans Tomography, X-Ray Computed
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Artificial Intelligence Applications in Aortic Dissection Imaging.

Seminars in roentgenology 36265987
Aortic Dissection Artificial Intelligence Diagnostic Imaging Humans
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