Can We Predict Abdominal Aortic Aneurysm (AAA) Progression and Rupture by Non-Invasive Imaging?—A Systematic Review

Abstract

Introduction: The most commonly used predictor of aneurysm behavior in clinical decision

Biomechanics and FE Modelling of Aneurysm: Review and Advances in Computational Models

“…Due to the difficult to reliably predict abdominal aortic aneurysm expansion and rupture in individuals several clinical trials have been performed [25,72]. At the same time, from the computational point of view, literature systematically reports the evidence to support the role of patient-specific biomechanical profiles in the management of patients with AAA both from imaging and FE approach [1,13,81]. In order to accurately predict the risk of rupture of AAA, is necessary to predict the AAA wall strength distribution and the material properties non-invasively.…”

Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference

“…It is unclear why some patients have AAAs with accelerated expansion rates, while others, with identical risk profiles, do not [16]. This makes prediction of the natural growth pattern difficult because aneurysm growth over time does not necessarily follow a common pattern [16] [17]. Significant progress has been made toward patientspecific AAA growth modeling to assess the rupture risk using biological tissue growth and remodeling (G&R) [18] [19].…”