Dynamic Contrast-enhanced MRI Processing Comparison for Distinguishing True Progression From Pseudoprogression in High-grade Glioma.

Background: Treatment-related changes may occur due to radiation and temozolomide in glioblastoma and can mimic tumor progression on conventional MRI. DCE-MRI enables quantification of the extent of blood-brain barrier (BBB) disruption, providing information about areas of suspicious postcontrast T1 enhancement. We compared DCE-MRI processing methods for distinguishing true disease progression from pseudoprogression in high-grade gliomas (HGGs).

Clinical and Imaging Features of Head and Neck Metastasis of High-Grade Glioma: A Single-Center Case Series.

High-grade gliomas are the most frequent primary brain tumors, yet extraneural metastasis is exceedingly rare. This is in part secondary to the relatively poor survival of these patients and likely the shielding effect of the blood-brain barrier. Given the rarity of extraneural metastasis, the pathophysiology and imaging appearance of extraneural metastasis is under-reported and poorly understood.

Quantification of Multi-Compartment Flow with Spectral Diffusion MRI.

Purpose: Estimation of multi-compartment intravoxel 'flow' in in ml/100g/min with multi-b-value diffusion weighted imaging and a multi-Gaussian model in the kidneys.

Theory And Methods: A multi-Gaussian model of intravoxel flow using water transport time to quantify (ml/100g/min) is presented and simulated. Multi-compartment anisotropic DWI signal is simulated with Rician noise and SNR=50 and analyzed with a rigid bi-exponential, a rigid tri-exponential and diffusion spectrum imaging model of intravoxel incoherent motion (spectral diffusion) to study extraction of multi-compartment flow.

The Impact of MRI-Based Advanced Neuroimaging on Neurooncologists' Clinical Decision-Making in Patients With Posttreatment High-Grade Glioma: A Prospective Survey-Based Study.

Advanced MRI-based neuroimaging techniques, such as perfusion and spectroscopy, have been increasingly incorporated into routine follow-up protocols in patients treated for high-grade glioma (HGG), to help differentiate tumor progression from treatment effect. However, these techniques' influence on clinical management remains poorly understood. The purpose of this article was to evaluate the impact of MRI-based advanced neuroimaging on clinical decision-making in patients with HGG after treatment.