Gd-DTPA relaxivity depends on macromolecular content

Stanisz, Greg J.; Henkelman, R. Mark

doi:10.1002/1522-2594(200011)44:5<665::aid-mrm1>3.0.co;2-m

Cited by 195 publications

(124 citation statements)

References 25 publications

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“…1 There is an inverse relationship between viscosity and T 1 and T 2 [15,16]. It has been shown that Gd-DTPA relaxivity depends on the macromolecular content of the solvent [17]. However, the marked increase in relaxation rates for the Gd 2 O 3 nanoparticles in RPMI can probably not be attributed only to increased viscosity and macromolecular content.…”

Section: Discussionmentioning

confidence: 99%

High proton relaxivity for gadolinium oxide nanoparticles

Engström

Klasson

Pedersen

et al. 2006

Magn Reson Mater Phy

115

110

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Section: Discussionmentioning

confidence: 99%

High proton relaxivity for gadolinium oxide nanoparticles

Engström

Klasson

Pedersen

et al. 2006

Magn Reson Mater Phy

115

110

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“…Relaxivity can alter in vivo from the in vitro values [37] and is probably the largest source of systematic error in DCE-MRI studies, as well as being unavoidable [48][49][50]. In disease, T 10 is often raised, and should be measured explicitly if possible.…”

Section: Shortcomings Of Dce-mri Measurementsmentioning

confidence: 99%

Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values

et al. 2012

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“…11,33 CM in vessels and in the extracellular space shorten local relaxation times and thereby change local signal intensity. 17,43 Separation of the vessel permeabilitydominated extravasation signal from the perfusiondominated bolus signal allows precise determination of both perfusion and vessel permeability when appropriate pharmacokinetic models are used. 48 Dynamic MR images can be acquired using either T 1 -weighted, T 2 -weighted, or T Ã 2 -weighted sequences.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Quantification of Perfusion and Permeability in the Prostate Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging with an Inversion-Prepared Dual-Contrast Sequence

et al. 2009

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The aim of the present study was to quantify both perfusion and extravasation in the prostate to discriminate tumor from healthy tissue, which might be achieved by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using a nonspecific low-molecular-weight contrast medium (CM). To determine extravasation as well as tissue perfusion an inversion-prepared dual-contrast sequence employing a parallel acquisition technique (PAT) was designed for interleaved acquisition of T(1)-weighted images for extravasation measurement and T(2)*-weighted images for determination of the highly concentrated bolus with a sufficiently high temporal and spatial resolution at an acceptable signal-to-noise ratio. Thirteen patients with proven prostate cancer were examined with the sequence using a combined body-array prostate coil. Before pharmacokinetic evaluation the images were intensity-corrected and, if required, motion-corrected. The pharmacokinetic model used to calculate perfusion, permeability, blood volume, interstitial volume, transit time, and vessel size index included two compartments and a correction of delay and dispersion of the arterial input function. The information provided by the dual-contrast sequence allowed application of a more elaborate model for evaluation and enabled quantification of all parameters. Peripheral prostate tumors were found to differ from peripheral healthy prostate tissue in perfusion (1.38 mL/(min cm(3)) vs. 0.23 mL/(min cm(3)), p=0.004), mean transit time (2.88 vs. 4.88 s, p=0.039), and blood volume (1.9 vs. 0.7%, p=0.019). A inversion-prepared dual-contrast sequence acquiring T(1)- and T*(2)-weighted images with sufficient temporal resolution and signal-to-noise ratio was successfully applied in patients with prostate cancer to quantify all pharmacokinetic parameters of inflow and extravasation of a low-molecular-weight inert tracer.

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Gd-DTPA relaxivity depends on macromolecular content

Cited by 195 publications

References 25 publications

High proton relaxivity for gadolinium oxide nanoparticles

High proton relaxivity for gadolinium oxide nanoparticles

Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values

Simultaneous Quantification of Perfusion and Permeability in the Prostate Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging with an Inversion-Prepared Dual-Contrast Sequence

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