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Comparison Of T2 And T2*-weighted MR Molecular Imaging Of A Mouse Model Of Glioma
B. Blasiak, Samuel Barnes, T. Foniok, D. Rushforth, J. Matyas, D. Ponjevic, Wladyslaw P. Weglarz, R. Tyson, U. Iqbal, A. Abulrob, G. Sutherland, A. Obenaus, B. Tomanek
Published 2013 · Medicine, Computer Science
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BackgroundStandard MRI has been used for high-grade gliomas detection, albeit with limited success as it does not provide sufficient specificity and sensitivity to detect complex tumor structure. Therefore targeted contrast agents based on iron oxide, that shorten mostly T2 relaxation time, have been recently applied. However pulse sequences for molecular imaging in animal models of gliomas have not been yet fully studied. The aim of this study was therefore to compare contrast-to-noise ratio (CNR) and explain its origin using spin-echo (SE), gradient echo (GE), GE with flow compensation (GEFC) as well as susceptibility weighted imaging (SWI) in T2 and T2* contrast-enhanced molecular MRI of glioma.MethodsA mouse model was used. U87MGdEGFRvIII cells (U87MG), derived from a human tumor, were injected intracerebrally. A 9.4 T MRI system was used and MR imaging was performed on the 10 day after the inoculation of the tumor. The CNR was measured prior, 20 min, 2 hrs and 24 hrs post intravenous tail administration of glioma targeted paramagnetic nanoparticles (NPs) using SE, SWI, GE and GEFC pulse sequences.ResultsThe results showed significant differences in CNR among all pulse sequences prior injection. GEFC provided higher CNR post contrast agent injection when compared to GE and SE. Post injection CNR was the highest with SWI and significantly different from any other pulse sequence.ConclusionsMolecular MR imaging using targeted contrast agents can enhance the detection of glioma cells at 9.4 T if the optimal pulse sequence is used. Hence, the use of flow compensated pulse sequences, beside SWI, should to be considered in the molecular imaging studies.
This paper references
Obtaining blood oxygenation levels from MR signal behavior in the presence of single venous vessels
J. Sedlacik (2007)
Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions
W. Moeller-Hartmann (2001)
Prognostic significance of preoperative MRI scan in gliobliastoma multiforme
MA Hammoud (1996)
Role of extracellular proteins in the dynamics of vasogenic brain edema
T. Kuroiwa (2004)
Superparamagnetic iron oxide contrast agents: physicochemical characteristics and applications in MR imaging
Y. Wang (2014)
Use of D-proline assimilation and CGB medium for screening Brazilian Cryptococcus neoformans isolates.
M. M. Nishikawa (1996)
NaDyF4 Nanoparticles as T2 Contrast Agents for Ultrahigh Field Magnetic Resonance Imaging.
Gautom Kumar Das (2012)
The influence of white matter fibre orientation on MR signal phase and decay
C. Denk (2011)
CXCR4 EXPRESSION IS ELEVATED IN GLIOBLASTOMA MULTIFORME AND CORRELATES WITH AN INCREASE IN INTENSITY AND EXTENT OF PERITUMORAL T2‐WEIGHTED MAGNETIC RESONANCE IMAGING SIGNAL ABNORMALITIES
C. Stevenson (2008)
Imaging Tumor Angiogenesis With Contrast Ultrasound and Microbubbles Targeted to &agr;v&bgr;3
D. Ellegala (2003)
Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 1
E. Haacke (2009)
Single-domain antibody targeted formulations with superparamagnetic nanoparticles for cancer imaging. US: Provisional Patent
N Abulrob (2009)
Vascular permeability factor in brain metastases: correlation with vasogenic brain edema and tumor angiogenesis.
J. Strugar (1994)
Magnetosome-like ferrimagnetic iron oxide nanocubes for highly sensitive MRI of single cells and transplanted pancreatic islets
N. Lee (2011)
Assessment of absolute blood volume in carcinoma by USPIO contrast-enhanced MRI.
G. Gambarota (2006)
Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent.
J. Reichenbach (1997)
Prognostic significance of preoperative MRI scans in glioblastoma multiforme
Maarouf A. Hammoud (2004)
Diffuse glioma growth: a guerilla war
A. Claes (2007)
Intravascular susceptibility contrast mechanisms in tissues
R. Kennan (1994)
MRI susceptometry: Image‐based measurement of absolute susceptibility of MR contrast agents and human blood
R. Weisskoff (1992)
Coating thickness of magnetic iron oxide nanoparticles affects R2 relaxivity
L. LaConte (2007)
Design and fabrication of magnetic nanoparticles for targeted drug delivery and imaging.
O. Veiseh (2010)
Reducing motion artifacts in two-dimensional Fourier transform imaging.
E. Haacke (1986)
Synthesis and surface engineering of iron oxide nanoparticles for biomedical applications.
A. Gupta (2005)
NaDyF 4 nanoparticle as T 2 contrast agent for ultra - high field magnetic resonance imaging
GK Das (2012)
Magnetic resonance imaging characteristics predicts epidermal growth factor receptor amplification status in glioblastomas
M Aghi (2005)
Magnetic Resonance Imaging Characteristics Predict Epidermal Growth Factor Receptor Amplification Status in Glioblastoma
M. Aghi (2005)
Role of pressure gradients and bulk flow in dynamics of vasogenic brain edema.
H. Reulen (1977)
Improving high‐resolution MR bold venographic imaging using a T1 reducing contrast agent
W. Lin (1999)
California 92354, USA. 5 Faculty of Veterinary Medicine 8 Alberta Innovates – Technology Futures, 3608 33 Street NW
NaDyF4 nanoparticle as T2 contrast agent for ultra-high field magnetic resonance imaging
Gk Das (2012)
Imaging tumor angiogenesis with contrast ultrasound and microbubbles targeted to α v ß 3
Db Ellegala (2003)
Population-based studies on incidence, survival rates, and genetic alterations in astrocytic and oligodendroglial gliomas.
H. Ohgaki (2005)
Detection of T(2) changes in an early mouse brain tumor.
B. Blasiak (2010)
Vessel growth and function: depiction with contrast-enhanced MR imaging.
M. Oostendorp (2009)
Flow artifact reduction in MRI: A review of the roles of gradient moment nulling and spatial presaturation
R. Ehman (1990)
Characterisation of tumor vasculature in mouse brain by USPIO contrast-enhanced MRI
G Gambarota (2008)
From iron oxide nanoparticles towards advanced iron-based inorganic materials designed for biomedical applications.
A. Figuerola (2010)
Mechanisms of flow‐induced signal loss in MR angiography
S. Urchuk (1992)
Characterisation of tumour vasculature in mouse brain by USPIO contrast-enhanced MRI
G. Gambarota (2008)
Evaluation of brain tumor vessels specific contrast agents for glioblastoma imaging.
B. Tomanek (2012)
NMR imaging of changes in vascular morphology due to tumor angiogenesis
J. Dennie (1998)
Intravital imaging of tumour vascular networks using multi-photon fluorescence microscopy.
Gillian M. Tozer (2005)
Meningiomas: role of vascular endothelial growth factor/vascular permeability factor in angiogenesis and peritumoral edema.
J. Provias (1997)
Cation Exchange: A Facile Method To Make NaYF4:Yb,Tm-NaGdF4 Core–Shell Nanoparticles with a Thin, Tunable, and Uniform Shell
C. Dong (2012)
Surface functionalization of single superparamagnetic iron oxide nanoparticles for targeted magnetic resonance imaging.
E. Amstad (2009)
Design and fabrication of magnetic nanoparticles for targeted drug delivery and therapy
O Veish (2010)
Veggel FCJM: NaDyF4 nanoparticle as T2 contrast agent for ultra-high field magnetic resonance imaging
GK Das (2012)
The Evolution of Our Understanding on Glioma
A. Martin-Villalba (2008)
Susceptibility weighted imaging at ultra high magnetic field strengths: Theoretical considerations and experimental results
A. Deistung (2008)
Recent advances in iron oxide nanocrystal technology for medical imaging.
C. Corot (2006)
The case for early detection
R Etzioni (2003)
Regulation of phagocyte recruitment and activation by chemotactic cytokines
F. Colotta (1992)
Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 2
S. Mittal (2009)
Respiratory ordered phase encoding (ROPE): a method for reducing respiratory motion artefacts in MR imaging.
D. Bailes (1985)
Improving MR image quality in the presence of motion by using rephasing gradients.
E. Haacke (1987)
Respiratory ordered phase encoding (ROPE): a method for reducing motion artefacts in MR imaging
DR Bailes (1985)
Polish Academy of Sciences, Institute of Nuclear Physics
Motion artifact suppression technique (MAST) for MR imaging.
P. Pattany (1987)
CXCR4 expression mediates glioma cell invasiveness
M. Ehtesham (2006)
Respiratory gating in magnetic resonance imaging at 0.5 Tesla.
V. Runge (1984)
Glioblastoma microvesicles transport RNA and protein that promote tumor growth and provide diagnostic biomarkers
J. Skog (2008)
Single-domain antibody targeted formulations with superparamagnetic nanoparticles for cancer imaging
N Abulrob (2009)
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B. Sharma (2020)
Imaging chemical exchange saturation transfer (CEST) effects following tumor‐selective acidification using lonidamine
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Comparison amongst pulse sequences for enhanced contrast to noise ratio in magnetic resonance imaging.
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Targeting experimental orthotopic glioblastoma with chitosan-based superparamagnetic iron oxide nanoparticles (CS-DX-SPIONs)
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Monoclonal Antibody–Conjugated Superparamagnetic Iron Oxide Nanoparticles for Imaging of Epidermal Growth Factor Receptor–Targeted Cells and Gliomas
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A case of multiple hepatic angiomyolipomas with high 18 F-fluorodeoxyglucose uptake
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