Literature DB >> 24793824

A review of technical aspects of T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in human brain tumors.

M Bergamino1, L Bonzano2, F Levrero3, G L Mancardi2, L Roccatagliata4.   

Abstract

In the last few years, several imaging methods, such as magnetic resonance imaging (MRI) and computed tomography, have been used to investigate the degree of blood-brain barrier (BBB) permeability in patients with neurological diseases including multiple sclerosis, ischemic stroke, and brain tumors. One promising MRI method for assessing the BBB permeability of patients with neurological diseases in vivo is T1-weighted dynamic contrast-enhanced (DCE)-MRI. Here we review the technical issues involved in DCE-MRI in the study of human brain tumors. In the first part of this paper, theoretical models for the DCE-MRI analysis will be described, including the Toft-Kety models, the adiabatic approximation to the tissue homogeneity model and the two-compartment exchange model. These models can be used to estimate important kinetic parameters related to BBB permeability. In the second part of this paper, details of the data acquisition, issues related to the arterial input function, and procedures for DCE-MRI image analysis are illustrated.
Copyright © 2014 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Blood–brain barrier; Magnetic resonance imaging; Permeability; T(1)-weighted dynamic contrast-enhanced-MRI

Mesh:

Substances:

Year:  2014        PMID: 24793824     DOI: 10.1016/j.ejmp.2014.04.005

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  24 in total

1.  Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma.

Authors:  Jian-Feng Yang; Zhen-Hua Zhao; Yu Zhang; Li Zhao; Li-Ming Yang; Min-Ming Zhang; Bo-Yin Wang; Ting Wang; Bao-Chun Lu
Journal:  World J Gastroenterol       Date:  2016-04-07       Impact factor: 5.742

Review 2.  Blood-brain barrier imaging in human neuropathologies.

Authors:  Ronel Veksler; Ilan Shelef; Alon Friedman
Journal:  Arch Med Res       Date:  2014-11-29       Impact factor: 2.235

3.  Assessment of DCE-MRI parameters for brain tumors through implementation of physiologically-based pharmacokinetic model approaches for Gd-DOTA.

Authors:  Marios Spanakis; Eleftherios Kontopodis; Sophie Van Cauter; Vangelis Sakkalis; Kostas Marias
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

4.  Dynamic Contrast-Enhanced MRI in the Study of Brain Tumors. Comparison Between the Extended Tofts-Kety Model and a Phenomenological Universalities (PUN) Algorithm.

Authors:  Maurizio Bergamino; Laura Barletta; Lucio Castellan; Gianluigi Mancardi; Luca Roccatagliata
Journal:  J Digit Imaging       Date:  2015-12       Impact factor: 4.056

5.  Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma.

Authors:  Vaios Hatzoglou; Jung Hun Oh; Olivia Buck; Xuling Lin; Michelle Lee; Amita Shukla-Dave; Robert J Young; Kyung K Peck; Behroze Vachha; Andrei I Holodny; Christian Grommes
Journal:  J Neurooncol       Date:  2018-08-02       Impact factor: 4.130

6.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

7.  Diagnostic Accuracy of T1-Weighted Dynamic Contrast-Enhanced-MRI and DWI-ADC for Differentiation of Glioblastoma and Primary CNS Lymphoma.

Authors:  X Lin; M Lee; O Buck; K M Woo; Z Zhang; V Hatzoglou; A Omuro; J Arevalo-Perez; A A Thomas; J Huse; K Peck; A I Holodny; R J Young
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-08       Impact factor: 3.825

Review 8.  MRI measurements of Blood-Brain Barrier function in dementia: A review of recent studies.

Authors:  Rajikha Raja; Gary A Rosenberg; Arvind Caprihan
Journal:  Neuropharmacology       Date:  2017-10-28       Impact factor: 5.250

9.  Perfusion weighted imaging using combined gradient/spin echo EPIK: Brain tumour applications in hybrid MR-PET.

Authors:  N Jon Shah; Nuno André da Silva; Seong Dae Yun
Journal:  Hum Brain Mapp       Date:  2019-02-13       Impact factor: 5.038

10.  Advances in Diffusion and Perfusion MRI for Quantitative Cancer Imaging.

Authors:  Mehran Baboli; Jin Zhang; Sungheon Gene Kim
Journal:  Curr Pathobiol Rep       Date:  2019-12-02
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