Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 47, Issue 3, Pages 601-606Publisher
WILEY
DOI: 10.1002/mrm.10080
Keywords
perfusion; gadolinium; carcinoma; kinetic modeling; capillary permeability; blood volume
Funding
- NINDS NIH HHS [R01 NS36992] Funding Source: Medline
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS036992] Funding Source: NIH RePORTER
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In recent years a number of physiological models have gained prominence in the analysis of dynamic contrast-enhanced T-1-weighted MRI data. However, there remains little evidence to support their use in estimating the absolute values of tissue physiological parameters such as perfusion, capillary permeability, and blood volume. In an attempt to address this issue, data were simulated using a distributed pathway model of tracer kinetics, and three published models were fitted to the resultant concentration-time curves. Parameter estimates obtained from these fits were compared with the parameters used for the simulations. The results indicate that the use of commonly accepted models leads to systematic overestimation of the transfer constant, K-trans, and potentially large underestimates of the blood plasma volume fraction, V-p. In summary, proposals for a practical approach to physiological modeling using MRI data are outlined. (C) 2002 Wiley-Liss, Inc.
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