Growth prediction model for abdominal aortic aneurysms.

ABSTRACT:

Background

The most relevant determinant in scheduling monitoring intervals for abdominal aortic aneurysms (AAAs) is maximum diameter. The aim of the study was to develop a statistical model that takes into account specific characteristics of AAA growth distributions such as between-patient variability as well as within-patient variability across time, and allows probabilistic statements to be made regarding expected AAA growth.

Methods

CT angiography (CTA) data from patients monitored at 6-month intervals with maximum AAA diameters at baseline between 30 and 66 mm were used to develop the model. By extending the model of geometric Brownian motion with a log-normal random effect, a stochastic growth model was developed. An additional set of ultrasound-based growth data was u

SUBMITTER: Ristl R 

PROVIDER: S-EPMC10364708 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature