Table of Contents
ISRN Neuroscience
Volume 2013, Article ID 905279, 6 pages
Clinical Study

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

1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, University of Genoa, 16132 Genoa, Italy
2Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, 16132 Genoa, Italy
3Department of Diagnostic and Interventional Neuroradiology, San Martino University Hospital, 16132 Genoa, Italy
4Department of Pathology, San Martino University Hospital, 16132 Genoa, Italy
5Department of Health Sciences, University of Genoa, 16132 Genoa, Italy

Received 24 December 2012; Accepted 16 January 2013

Academic Editors: C. Bishop and H. Ochi

Copyright © 2013 Maurizio Bergamino et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 () 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 values. Our results suggest that DCE acquisition is feasible in patients with brain tumors and that maps can be easily obtained by these two algorithms, even if the theoretical model adopted could affect the final results.