Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model

Yankeelov, Thomas E.; Luci, Jeffrey J.; Lepage, Martin; Li, Rui; DeBusk, Laura M.; Lin, Ping Chang; Price, Ronald R.; Gore, John C.

doi:10.1016/j.mri.2005.02.013

Cited by 250 publications

(311 citation statements)

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“…The reference region/tissue (RR) method allows for assessment of tracer kinetic parameters in the tissue of interest without direct sampling of the AIF, by reference to other normal tissues with known (literature) values for the kinetic parameters, or by using one or more such reference tissues to estimate the AIF. The initial RR methods involve a single reference tissue with innovative implementations of the GK model in differential (93) and integral (94) forms. These methods are subsequently extended to include the use of two reference tissues (95), model AIFs (96,97), and approaches to reduce the use of literature values in the reference tissues (98).…”

Section: Reference Region (Rr) Methodsmentioning

confidence: 99%

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Koh

Bisdas

Koh

et al. 2011

Magnetic Resonance Imaging

113

130

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Tracer kinetic methods employed for quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) share common roots with earlier tracer studies involving arterial-venous sampling and other dynamic imaging modalities. This article reviews the essential foundation concepts and principles in tracer kinetics that are relevant to DCE MRI, including the notions of impulse response and convolution, which are central to the analysis of DCE MRI data. We further examine the formulation and solutions of various compartmental models frequently used in the literature. Topics of recent interest in the processing of DCE MRI data, such as the account of water exchange and the use of reference tissue methods to obviate the measurement of an arterial input, are also discussed. Although the primary focus of this review is on the tracer models and methods for T 1 -weighted DCE MRI, some of these concepts and methods are also applicable for analysis of dynamic susceptibility contrastenhanced MRI data.

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Section: Reference Region (Rr) Methodsmentioning

confidence: 99%

Fundamentals of tracer kinetics for dynamic contrast‐enhanced MRI

Koh

Bisdas

Koh

et al. 2011

Magnetic Resonance Imaging

113

130

View full text Add to dashboard Cite

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“…The contrast agent relaxivity at 7.0 T was set to 3.6 mM −1 s −1 . 39 The concentration curve was then fitted to the two-compartment model by use of nonlinear least squares fitting with parameters from the biexponential vascular curve as input. Values of the transfer constant (K trans ), the EES volume fraction (v e ) and the plasma volume fraction (v p ) were calculated.…”

Section: Methodsmentioning

confidence: 99%

Effect of dietary tetradecylthioacetic acid on colon cancer growth studied by dynamic contrast enhanced MRI

Jensen

Berge²,

Bathen³

et al. 2007

Cancer Biology & Therapy

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Purpose: To evaluate the effects of diets supplemented with the modified fatty acid tetradecylthioacetic acid (TTA) and fish protein hydrolysate (FPH) on tumor growth of the human colon cancer cell line SW620, and to investigate the properties of tumor vasculature by dynamic contrast-enhanced MRI in a human tumor xenograft.Experimental Design: SW620 cells were grown in vitro in presence of TTA and palmitic acid and proliferation was measured by thymidine incorporation. The xenograft study in mice was performed with four distinct diets: (a) control diet; (b) diet with TTA; (c) diet with TTA and FPH; and (d) diet with FPH. SW620 cells were injected subcutaneously, and dynamic contrast enhanced (DCE) MRI was performed on a Bruker BioSpec 7T system. The data was analyzed by two-compartment modeling of the contrast enhancement, initial area under the curve (IAUC) and by use of relative signal intensity (RSI) distributions.Results: The in vitro cell studies revealed that TTA reduced tumor cell proliferation as a function of both dose and time. The in vivo tumor growth was significantly reduced for the two groups fed TTA, as compared to the control group. The mean 10 th percentile RSI, v e and IAUC for the TTA group were significant higher than for the control group.Conclusions: This study confirms the growth inhibitory effects of TTA, both in vitro and in vivo, in a colon cancer model. The analysis of DCE-MRI data showed that TTA influences the vascular properties of the tumor in addition to the growth.

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“…In the quantitative approach, pharmacokinetic models are applied to contrast agent concentration data to enable estimates of physiological parameters, including plasma volume (v p ), forward vascular transfer constant (K trans ) and the reverse vascular transfer constant (k ep ). Several pharmacokinetic models have been proposed since the seminal papers by Tofts and Brix [9,10], either requiring a measured/assumed arterial input function (AIF), or neglecting the need for the AIF as in the reference region models [11].…”

Section: Introductionmentioning

confidence: 99%