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Aortic Aneurysm, Thoracic

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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
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...

Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.

The Annals of thoracic surgery
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...

Machine learning-aided exploration of relationship between strength and elastic properties in ascending thoracic aneurysm.

International journal for numerical methods in biomedical engineering
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...

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

Journal of cardiac surgery
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...

Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

Studies in health technology and informatics
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...