Development of a statistical model for discrimination of rupture status in posterior communicating artery aneurysms.

ABSTRACT:

Background

Intracranial aneurysms at the posterior communicating artery (PCOM) are known to have high rupture rates compared to other locations. We developed and internally validated a statistical model discriminating between ruptured and unruptured PCOM aneurysms based on hemodynamic and geometric parameters, angio-architectures, and patient age with the objective of its future use for aneurysm risk assessment.

Methods

A total of 289 PCOM aneurysms in 272 patients modeled with image-based computational fluid dynamics (CFD) were used to construct statistical models using logistic group lasso regression. These models were evaluated with respect to discrimination power and goodness of fit using tenfold nested cross-validation and a split-sample approach to mimic external valid

SUBMITTER: Detmer FJ 

PROVIDER: S-EPMC6309378 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature