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Deep learning techniques for imaging diagnosis and treatment of aortic aneurysm

Frontiers in Cardiovascular Medicine

Objective This study aims to review the application of deep learning techniques in the imaging diagnosis and treatment of aortic aneurysm (AA), focusing on screening, diagnosis, lesion segmentation, surgical assistance, and prognosis prediction. Furthermore, models were able to predict AA progression and patient prognosis with high accuracy.

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Case Report: Kommerell's diverticulum and left aberrant subclavian artery stenosis hybrid treatment with branched aortic stent-graft

Frontiers in Cardiovascular Medicine

Imaging techniques and modeling technology allow a more personalized strategy for each patient. In this case, we present a symptomatic patient with a Kommerell's diverticulum and a left aberrant subclavian artery complicated by proximal stenosis and poststenotic aneurysm.

Stent 75
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Abstract 169: Antiplatelet regimens after pseudoaneurysm embolization with phosphorylcholine coated flow diverters: a series of 180 cases

Stroke: Vascular and Interventional Neurology

IntroductionIndications for flow diversion for the treatment of cerebral aneurysms have increased remarkably in recent years.1 1 This has been particularly useful for aneurysms that are difficult to treat via endosaccular or open approaches, such as pseudoaneurysms.2

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What is 3D Rotational Angiography?

All About Cardiovascular System and Disorders

3D rotational angiography is not that old technique, but a novel technology which can create a volumetric data set of contrast-enhanced CT like images with excellent visualization of soft tissues and airway, with spatial resolution even better than multi-detector CT or cardiac magnetic resonance imaging [1].