A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms.

ABSTRACT: The objective of this work was to perform image-based classification of abdominal aortic aneurysms (AAA) based on their demographic, geometric, and biomechanical attributes. We retrospectively reviewed existing demographics and abdominal computed tomography angiography images of 100 asymptomatic and 50 symptomatic AAA patients who received an elective or emergent repair, respectively, within 1-6 months of their last follow up. An in-house script developed within the MATLAB computational platform was used to segment the clinical images, calculate 53 descriptors of AAA geometry, and generate volume meshes suitable for finite element analysis (FEA). Using a third party FEA solver, four biomechanical markers were calculated from the wall stress distributions. Eight machine learning algorithms

SUBMITTER: Rengarajan B 

PROVIDER: S-EPMC7096253 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature