AIMC Topic: Aortic Aneurysm, Thoracic

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Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.

Journal of cardiac surgery Nov 25, 2019
OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneurysm repair (TAAAR) is helpful for decision-making during the postoperative phase. To find a more efficient method for making a prediction, we perform...
Male Postoperative Complications Aortic Aneurysm, Abdominal Aged Adult Aortic Aneurysm, Thoracic Paraplegia Humans Machine Learning Forecasting Acute Kidney Injury Female
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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...
Aorta, Abdominal Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Aorta, Thoracic Aortic Dissection Endovascular Procedures Vascular Remodeling Middle Aged Time Factors Treatment Outcome Chronic Disease Stents Female Humans Aged Retrospective Studies Male
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Machine learning-aided exploration of relationship between strength and elastic properties in ascending thoracic aneurysm.

International journal for numerical methods in biomedical engineering Apr 10, 2018
Machine learning was applied to classify tension-strain curves harvested from inflation tests on ascending thoracic aneurysm samples. The curves were classified into rupture and nonrupture groups using prerupture response features. Two groups of feat...
Models, Cardiovascular Humans Stress, Mechanical Elasticity Aortic Aneurysm, Thoracic Machine Learning Aorta, Thoracic
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Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.

The Annals of thoracic surgery Dec 21, 2017
BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovascular aortic repair (TEVAR) and open surgical repair (OSR) was performed to determine the appropriate treatment option for descending thoracic aortic a...
Patient Selection Aortic Aneurysm, Thoracic Endovascular Procedures Propensity Score Middle Aged Logistic Models Treatment Outcome Aged, 80 and over Male Retrospective Studies Female Aged Humans
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Current state in tracking and robotic navigation systems for application in endovascular aortic aneurysm repair.

Journal of vascular surgery Oct 14, 2014
OBJECTIVE: This study reviewed the current developments in manual tracking and robotic navigation technologies for application in endovascular aortic aneurysm repair (EVAR).
Humans Animals Surgery, Computer-Assisted Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Aortography Aortic Aneurysm, Abdominal Robotics Equipment Design Time Factors Treatment Outcome
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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...
Male Middle Aged Deep Learning Female Aged Aortic Aneurysm, Thoracic Endovascular Procedures Endovascular Aneurysm Repair Stents Aorta, Thoracic Aortic Dissection Humans
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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 Nov 1, 2021
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...
Retrospective Studies Deep Learning Thrombosis Aortic Dissection Humans Aortic Aneurysm, Thoracic
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Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

Studies in health technology and informatics Oct 27, 2021
This article describes the results of feature extraction from unstructured medical records and prediction of postoperative complications for patients with thoracic aortic aneurysm operations using machine learning algorithms. The datasets from two di...
Machine Learning Algorithms Risk Factors Humans Aortic Aneurysm, Thoracic Russia Postoperative Complications Postoperative Period
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