Predicting aortic aneurysm ruptures is a complex problem that has been investigated by many research teams over several decades. Work on this issue is notably complex and involves both the mechanical behavior of the artery and the blood flow. Magnetic resonance imaging (MRI) can provide measurements concerning the shape of an organ and the blood that flows through it. Measuring local distortion of the artery wall is the first essential factor to evaluate in a ruptured artery. This paper aims to demonstrate the feasibility of this measure using MRI on a phantom of an abdominal aortic aneurysm (AAA) with realistic shape. The aortic geometry is obtained from a series of cine-MR images and reconstructed using Mimics software. From 4D flow and MRI measurements, the field of velocity is determined and introduced into a computational fluid dynamic (CFD) model to determine the mechanical boundaries applied on the wall artery (pressure and ultimately wall shear stress (WSS)). These factors are then converted into a solid model that enables wall deformations to be calculated. This approach was applied to a silicone phantom model of an AAA reconstructed from a patient's computed tomography-scan examination. The calculated deformations were then compared to those obtained in identical conditions by stereovision. The results of both methods were found to be close. Deformations of the studied AAA phantom with complex shape were obtained within a gap of 12% by modeling from MR data.
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http://dx.doi.org/10.1115/1.4038743 | DOI Listing |
Ther Adv Cardiovasc Dis
January 2025
Department of Cardiac Surgery, LMU University Hospital, Ludwig Maximilian University, Munich, Germany.
Background: Extensive surgical resection of the thoracic aorta in patients with type A aortic dissection (TAAD) is thought to reduce the risk of late aortic wall degeneration and the need for repeat aortic operations.
Objectives: We evaluated the early and late outcomes after aortic root replacement and supracoronary ascending aortic replacement in patients with TAAD involving the aortic root.
Design: Retrospective, multicenter cohort study.
Case Rep Gastrointest Med
January 2025
Gastroenterology and Hepatology Unit, The Canberra Hospital, Australian Capital Territory, Canberra, Australia.
We present a case of an 80-year-old female who presented with chest pain, vomiting and night sweats a few weeks post thoracic endovascular aortic aneurysm repair (TEVAR). A computed tomography (CT) scan demonstrated a type 1B endoleak for which she underwent a repeat TEVAR. Postoperatively, she developed fever, dysphagia, haematemesis and melaena.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
November 2024
Department of Nursing, Karnali Academy of Health Science, Jumla, Nepal.
Infectious aortitis is an uncommon but potentially fatal condition that can lead to aortic dissection or rupture. We describe a case of a 69-year-old female who developed a Stanford type B aortic dissection, presumptively caused by Salmonella, which was successfully managed with thoracic endovascular aneurysm repair (TEVAR) and long-term antibiotics. A literature review of 17 reported cases from 2000 to 2024 of aortic dissection secondary to infectious aortitis was conducted.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: The bolus tracking technique has been used for decades, yet still faces the challenging task of determining the optimal scanning time for individuals. Our study aimed to assess the feasibility of a novel bolus tracking method with a personalized post-trigger delay (PTD) to optimize scanning time and achieve optimized enhancement and contrast homogeneity in aortic computed tomography angiography (CTA).
Methods: Participants undergoing aortic CTA with bolus tracking were prospectively assigned to two different groups: Group A with a fixed 6-second PTD and Group B with a personalized PTD.
ACS Nano
January 2025
Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales 2145, Australia.
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