Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma.

ABSTRACT:

Background and purpose

Relative cerebral blood volume, as measured by T2*-weighted dynamic susceptibility-weighted contrast-enhanced MRI, represents the most robust and widely used perfusion MR imaging metric in neuro-oncology. Our aim was to determine whether differences in modeling implementation will impact the correction of leakage effects (from blood-brain barrier disruption) and the accuracy of relative CBV calculations as measured on T2*-weighted dynamic susceptibility-weighted contrast-enhanced MR imaging at 3T field strength.

Materials and methods

This study included 52 patients with glioma undergoing DSC MR imaging. Thirty-six patients underwent both non-preload dose- and preload dose-corrected DSC acquisitions, with 16 patients undergoing preload dose-corrected ac

SUBMITTER: Hu LS 

PROVIDER: S-EPMC4681640 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature