Literature DB >> 18359598

Brain tumor perfusion: comparison of dynamic contrast enhanced magnetic resonance imaging using T1, T2, and T2* contrast, pulsed arterial spin labeling, and H2(15)O positron emission tomography.

Lutz Lüdemann1, Carsten Warmuth, Michail Plotkin, Annette Förschler, Matthias Gutberlet, Peter Wust, Holger Amthauer.   

Abstract

OBJECTIVES: Different techniques for measuring of perfusion are clinically available, but these are usually applied to healthy brain tissue.
MATERIAL AND METHODS: Five different techniques were used here in 12 patients with brain tumors to investigate the impact of tumor vascularization on the perfusion signal: three qualitative dynamic contrast-enhanced/susceptibility-contrast magnetic resonance imaging (DCE-MRI/DSC-MRI) techniques exploiting T(1), T(2), T(2)(*) contrast, and two quantitative techniques, pulsed arterial spin labeling (PASL) and H(2)(15)O positron emission tomography (H(2)(15)O-PET).
RESULTS: In a first approximation, a linear correlation was found between all five imaging modalities regarding the perfusion signal of both, normal brain tissue and tumor. The estimated values for tumor perfusion differed significantly between the techniques (1=methodical mean in arbitrary units): PASL: 0.83, H(2)(15)O-PET: 0.62, T(1)-DCE: 1.73, T(2)-DCE: 0.69, T(2)(*)-DSC: 0.89.
CONCLUSIONS: The tumor perfusion values, determined with different techniques are not comparable. The T(2)(*)-DSC, here applied with contrast agent presaturation of extravascular space, and PASL depict median perfusion most reliably.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18359598     DOI: 10.1016/j.ejrad.2008.02.012

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  34 in total

Review 1.  Applications of imaging technology in radiation research.

Authors:  MingDe Lin; Edward F Jackson
Journal:  Radiat Res       Date:  2012-03-08       Impact factor: 2.841

Review 2.  Biologic imaging of head and neck cancer: the present and the future.

Authors:  A Srinivasan; S Mohan; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

3.  Effects of inversion and saturation times on relationships between contrast agent concentrations and signal intensities of T1-weighted magnetic resonance images.

Authors:  Mahmood Nazarpoor
Journal:  Radiol Phys Technol       Date:  2010-02-27

Review 4.  Radionuclide imaging of perfusion and hypoxia.

Authors:  George Laking; Pat Price
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

Review 5.  Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.

Authors:  James R Fink; Mark Muzi; Melinda Peck; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2015-08-20       Impact factor: 10.057

6.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

7.  Diagnostic accuracy of dynamic contrast-enhanced MR imaging using a phase-derived vascular input function in the preoperative grading of gliomas.

Authors:  T B Nguyen; G O Cron; J F Mercier; C Foottit; C H Torres; S Chakraborty; J Woulfe; G H Jansen; J M Caudrelier; J Sinclair; M J Hogan; R E Thornhill; I G Cameron
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-22       Impact factor: 3.825

8.  Pixel-by-Pixel Comparison of Volume Transfer Constant and Estimates of Cerebral Blood Volume from Dynamic Contrast-Enhanced and Dynamic Susceptibility Contrast-Enhanced MR Imaging in High-Grade Gliomas.

Authors:  P Alcaide-Leon; D Pareto; E Martinez-Saez; C Auger; A Bharatha; A Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2015-01-29       Impact factor: 3.825

9.  Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

Authors:  Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

Review 10.  New MR sequences (diffusion, perfusion, spectroscopy) in brain tumours.

Authors:  Andrea Rossi; Carlo Gandolfo; Giovanni Morana; Mariasavina Severino; Maria Luisa Garrè; Armando Cama
Journal:  Pediatr Radiol       Date:  2010-04-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.