Unknown

Dataset Information

Multiparameter quantitative histological MRI values in high-grade gliomas: a potential biomarker of tumor progression.


ABSTRACT:

Background

Conventional MRI poorly distinguishes brain parenchyma microscopically invaded by high-grade gliomas (HGGs) from the normal brain. By contrast, quantitative histological MRI (hMRI) measures brain microstructure in terms of physical MR parameters influenced by histochemical tissue composition. We aimed to determine the relationship between hMRI parameters in the area surrounding the surgical cavity and the presence of HGG recurrence.

Methods

Patients were scanned after surgery with an hMRI multiparameter protocol that allowed for estimations of longitudinal relaxation rate (R1) = 1/T1, effective transverse relaxation rate (R2)*=1/T2*, magnetization transfer saturation (MTsat), and proton density. The initial perioperative zone (IPZ) was segmented on the

SUBMITTER: Reuter G 

PROVIDER: S-EPMC7716186 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature