A new method for imaging perfusion and contrast extraction fraction: Input functions derived from reference tissues

This study describes a new method for analysis of dynamic MR contrast data that greatly increases the time available for data acquisition. The capillary input function, CB(t), is estimated from the rate of contrast agent uptake in a reference tissue such as muscle, based on literature values for perfusion rate, extraction fraction, and extracellular volume. The rate constant for contrast uptake (the product of perfusion rate, F, and extraction fraction, E; F‐E) is then determined in each image pixel using CB(t), extracellular volume (relative to the reference tissue) measured from MR and the tissue concentration of contrast media as a function of time calculated from the MR data. The “reference tissue method” was tested using rats with mammary (n = 10) or prostate (n = 15) tumors implanted in the hindlimb. Dynamic MR images at 4.7 T were acquired before and after Gd‐DTPA intravenous bolus injections to determine F·EGd‐DTPA. Acquisition parameters were optimized for detection of the first pass of the contrast agent bolus, so that “first‐pass analysis” could be used as the “gold standard” for determination of F·E. The accuracy of values of F·E determined using the reference tissue method was determined based on comparison with first‐pass analysis. In some cases, deuterated water (D2O) was injected IV immediately after Gd‐DTPA measurements, and the reference tissue method was used to calculate F, based on the rate of uptake of D2O. Comparison of rate constants for Gd‐DTPA uptake and D2O uptake allowed calculation of EGd‐DTPA. Values for F·EGd‐DTPA, F, and EGd.DTPA were determined for selected regions and on a pixel‐by‐pixel basis. Values for F·E and EGd.DTPA measured using the reference tissue method correlated well (P = .90 with a standard error of ±.016, n = 15) with values determined based on first‐pass contrast media uptake. The reference tissue method has important advantages: (a) A large volume of reference tissue can be used to determine the contrast agent input function with high precision. (b) Data obtained for 20 minutes after injection are used to calculate F or F·E. The greatly increased acquisition time can be used to increase the spatial resolution, field of view or SNR of measurements. The reference tissue method is most useful when the volume of tissue that must be imaged and/or the spatial resolution required precludes use of traditional first‐pass methods.

[1]  G S Karczmar,et al.  In vivo imaging of extraction fraction of low molecular weight mr contrast agents and perfusion rate in rodent tumors , 1997, Magnetic resonance in medicine.

[2]  R Deichmann,et al.  Quantitative magnetic resonance imaging of capillary water permeability and regional blood volume with an intravascular MR contrast agent , 1997, Magnetic resonance in medicine.

[3]  D. Mitchell MR imaging contrast agents — what's in a name? , 1997, Journal of magnetic resonance imaging : JMRI.

[4]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results , 1996, Magnetic resonance in medicine.

[5]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis , 1996, Magnetic resonance in medicine.

[6]  G S Karczmar,et al.  Differentiating between T1 and T2* changes caused by gadopentetate dimeglumine in the kidney by using a double‐echo dynamic MR imaging sequence , 1996, Journal of magnetic resonance imaging : JMRI.

[7]  G S Karczmar,et al.  Dynamic contrast measurements in rodent model tumors. , 1996, Academic radiology.

[8]  E. Manseau,et al.  Expression of vascular permeability factor/vascular endothelial growth factor by melanoma cells increases tumor growth, angiogenesis, and experimental metastasis. , 1996, Cancer research.

[9]  D B Kopans,et al.  Benign and malignant breast lesions: differentiation with echo-planar MR imaging. , 1995, Radiology.

[10]  Ying Wang,et al.  Regional myocardial blood volume and flow: First‐pass MR imaging with polylysine‐Gd‐DTPA , 1995, Journal of magnetic resonance imaging : JMRI.

[11]  O Nalcioglu,et al.  Measurement of vascular volume fraction and blood‐tissue permeability constants with a pharmacokinetic model: Studies in rat muscle tumors with dynamic Gd‐DTPA enhanced MRI , 1994, Magnetic resonance in medicine.

[12]  R. Paola,et al.  Correlation Between Contrast Enhancement in Dynamic Magnetic Resonance Imaging of the Breast and Tumor Angiogenesis , 1994, Investigative radiology.

[13]  W J Manning,et al.  Studies of Gd‐DTPA relaxivity and proton exchange rates in tissue , 1994, Magnetic resonance in medicine.

[14]  K. Uğurbil,et al.  Contrast agents for cerebral perfusion MR imaging , 1994, Journal of magnetic resonance imaging : JMRI.

[15]  M Recht,et al.  Method for the quantitative assessment of contrast agent uptake in dynamic contrast‐enhanced MRI , 1994, Magnetic resonance in medicine.

[16]  T. Foster,et al.  Quantitative MRI of Gd‐DTPA uptake in tumors: Response to photo dynamic therapy , 1994, Magnetic resonance in medicine.

[17]  F Pozza,et al.  Tumor angiogenesis: a new significant and independent prognostic indicator in early-stage breast carcinoma. , 1992, Journal of the National Cancer Institute.

[18]  H. Dvorak,et al.  Vascular Permeability Factor, Fibrin, and the Pathogenesis of Tumor Stroma Formation a , 1992, Annals of the New York Academy of Sciences.

[19]  R. Hotchkiss,et al.  Concurrent quantification of tissue metabolism and blood flow via 2h/31P NMR in vivo. i. assessment of absolute metabolite quantification , 1992, Magnetic resonance in medicine.

[20]  Concurrent quantification of tissue metabolism and blood flow via 2h/31P NMR in Vivo. 11. validation of the deuterium nmr washout method for measuring organ perfusion , 1992, Magnetic resonance in medicine.

[21]  R. Hotchkiss,et al.  Concurrent quantification of tissue metabolism and blood flow via 2h/31P NMR in Viva iii. alterations of muscle blood flow and metabolism during sepsis , 1992, Magnetic resonance in medicine.

[22]  F. Prato,et al.  Quantification of myocardial blood flow and extracellular volumes using a bolus injection of Gd‐DTPA: Kinetic modeling in canine ischemic disease , 1992, Magnetic resonance in medicine.

[23]  J L Evelhoch,et al.  Relative volume‐average murine tumor blood flow measurement via deuterium nuclear magnetic resonance spectroscopy , 1991, Magnetic resonance in medicine.

[24]  Wednesday morning grand ballroom AB papers 309–316. MRA: CNS applications , 1991 .

[25]  P. Tofts,et al.  Measurement of the blood‐brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts , 1991, Magnetic resonance in medicine.

[26]  J. Ackerman,et al.  Quantification of regional blood flow by monitoring of exogenous tracer via nuclear magnetic resonance spectroscopy , 1990, Magnetic resonance in medicine.

[27]  J. Evelhoch,et al.  Deuterium nuclear magnetic resonance imaging of tracer distribution in D2O clearance measurements of tumor blood flow in mice. , 1990, Cancer research.

[28]  R. Edelman,et al.  Clinical magnetic resonance imaging , 1990 .

[29]  H. Merkle,et al.  In Vivo 31P and 1H NMR studies of rat brain tumor pH and blood flow during acute hyperglycemia: Differential effects between subcutaneous and intracerebral locations , 1989 .

[30]  R W Parkey,et al.  In vivo nuclear magnetic resonance imaging of myocardial perfusion using the paramagnetic contrast agent manganese gluconate. , 1989, Journal of the American College of Cardiology.

[31]  S. G. Kim,et al.  Quantitative determination of tumor blood flow and perfusion via deuterium nuclear magnetic resonance spectroscopy in mice. , 1988, Cancer research.

[32]  H. Naritomi,et al.  In vivo measurements of intra- and extracellular Na+ and water in the brain and muscle by nuclear magnetic resonance spectroscopy with shift reagent. , 1987, Biophysical journal.

[33]  P. Bendel T2‐weighted contrasts in rapid low flip‐angle imaging , 1987, Magnetic resonance in medicine.

[34]  R. Jain,et al.  Microvascular permeability of normal and neoplastic tissues. , 1986, Microvascular research.

[35]  G M Bydder,et al.  Gadolinium‐DTPA as a Contrast Agent in MR Imaging—Theoretical Projections and Practical Observations , 1985, Journal of computer assisted tomography.

[36]  R. Brasch,et al.  Characteristics of gadolinium-DTPA complex: a potential NMR contrast agent. , 1984, AJR. American journal of roentgenology.

[37]  N. Lassen,et al.  Tracer kinetic methods in medical physiology , 1979 .

[38]  A. Katchalsky,et al.  Nonequilibrium Thermodynamics in Biophysics , 1965 .

[39]  L. Sapirstein,et al.  Regional blood flow by fractional distribution of indicators. , 1958, The American journal of physiology.

[40]  N B EVERETT,et al.  Distribution of Blood (Fe59) and Plasma (I131) Volumes of Rats Determined by Liquid Nitrogen Freezing , 1956, Circulation research.