A Predictive Analysis of Wall Stress in Abdominal Aortic Aneurysms Using a Neural Network Model.

ABSTRACT: Rupture risk assessment of abdominal aortic aneurysms (AAAs) by means of quantifying wall stress is a common biomechanical strategy. However, the clinical translation of this approach has been greatly limited due to the complexity associated with the computational tools required for its implementation. Thus, being able to estimate wall stress using nonbiomechanical markers that can be quantified as a direct outcome of clinical image segmentation would be advantageous in improving the potential implementation of said strategy. In the present work, we investigated the use of geometric indices to predict patient-specific AAA wall stress by means of a novel neural network (NN) modeling approach. We conducted a retrospective review of existing clinical images of two patient groups: 98 asymptoma

SUBMITTER: Rengarajan B 

PROVIDER: S-EPMC8420793 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature