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Peer-reviewed veterinary case report

Characterizing changes in abdominal aortic aneurysms using principal wall strain ultrasound elastography.

Year:
2025
Authors:
Kedwai BJ et al.
Affiliation:
University of Rochester Medical Center · United States

Abstract

<h4>Introduction</h4>Aortic principal wall strain is a biomechanical parameter correlated with aneurysm growth rate that affects abdominal aortic aneurysm (AAA) stability. Characterize changes in pressure-normalized maximum mean aortic principal wall strain (ερ+¯/PP) using ultrasound elastography (USE).<h4>Methods</h4>Axial ultrasound images of patient AAAs were collected at two consecutive clinic visits. The ερ+¯/PP for each image was calculated using a novel finite element mesh technique. The cohort was separated by index ερ+¯/PP terciles, and the rate of strain change, growth, intervention, and rupture were compared.<h4>Results</h4>31 patients with a median age of 72.0 [65.0, 77.5] at index visits were included, with follow-up imaging taken at an average interval of 6.2 [6.0, 8.3] months. For the whole cohort, maximum ερ+¯/PP decreased from 2.1 [1.1, 2.7] %/mmHg to 1.9 [1.3, 2.6] %/mmHg (<i>p</i> = 0.08), and maximum AAA diameter increased from a median of 4.3 [4.0, 4.7] cm to 4.4 [4.1, 4.9] cm (<i>p</i> = 0.04). The "high-strain" tercile was associated with a strain reduction of -1.3 [-2.5, -1.1] %/mmHg between index and follow-up imaging, as compared to the "low-strain" (-0.1 [-0.6, 0.5] %/mmHg, <i>p</i> < 0.01) and "intermediate-strain" (-0.4 [-0.5, -0.3] %/mmHg, <i>p</i> = 0.04) terciles. There was no difference in the rate of AAA growth, intervention, or rupture between terciles.<h4>Discussion</h4>The present findings indicate that ερ+¯/PP at baseline predicts the degree and direction of ερ+¯/PP change in AAAs over time. These findings offer insight into the natural history of AAA tissue mechanics and demonstrate the potential for a novel ultrasound technique to quantify biomechanical changes in the aortic wall. These findings may aid in the development of patient-specific risk stratification tools informed by biomechanical data in addition to conventional size-based criteria.

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Original publication: https://europepmc.org/article/MED/41030477