scholarly journals Blood–brain barrier permeability measured by contrast‐enhanced MRI in early Alzheimer’s disease

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Lukas Preis ◽  
Arda Can Cetindag ◽  
Kersten Villringer ◽  
Jochen B. Fiebach ◽  
Oliver Peters
Keyword(s):  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Blood Brain ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Brain Barrier Permeability ◽  
Early Alzheimer’S Disease ◽  
Contrast Enhanced Mri

Late changes in blood–brain barrier permeability in a rat tMCAO model of stroke detected by gadolinium-enhanced MRI

2020 ◽  
Vol 42 (10) ◽  
pp. 844-852
Author(s):  
Catherine A. Morgan ◽  
Michel Mesquita ◽  
Maria Ashioti ◽  
John S. Beech ◽  
Steve C. R. Williams ◽  
...  
Keyword(s):  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Blood Brain ◽  
Enhanced Mri ◽  
Brain Barrier Permeability

scholarly journals Measurement of Blood-Brain Barrier Permeability with T1-Weighted Dynamic Contrast-Enhanced MRI in Brain Tumors: A Comparative Study with Two Different Algorithms

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Maurizio Bergamino ◽  
Laura Saitta ◽  
Laura Barletta ◽  
Laura Bonzano ◽  
Giovanni Luigi Mancardi ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Barrier Permeability ◽  
Blood Brain Barrier Permeability ◽  
Dynamic Contrast Enhanced ◽  
Blood Brain ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Brain Barrier Permeability

The purpose of this study was to assess the feasibility of measuring different permeability parameters with T1-weighted dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in order to investigate the blood brain-barrier permeability associated with different brain tumors. The Patlak algorithm and the extended Tofts-Kety model were used to this aim. Twenty-five adult patients with tumors of different histological grades were enrolled in this study. MRI examinations were performed at 1.5 T. Multiflip angle, fast low-angle shot, and axial 3D T1-weighted images were acquired to calculate T1 maps, followed by a DCE acquisition. A region of interest was placed within the tumor of each patient to calculate the mean value of different permeability parameters. Differences in permeability measurements were found between different tumor grades, with higher histological grades characterized by higher permeability values. A significant difference in transfer constant (Ktrans) values was found between the two methods on high-grade tumors; however, both techniques revealed a significant correlation between the histological grade of tumors and their Ktrans values. Our results suggest that DCE acquisition is feasible in patients with brain tumors and that Ktrans maps can be easily obtained by these two algorithms, even if the theoretical model adopted could affect the final results.

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