Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 84, Issue 3, Pages 1404-1415Publisher
WILEY
DOI: 10.1002/mrm.28214
Keywords
AIF; arterial input function; DCE-MRI; pharmacokinetic modeling; preclinical MRI
Funding
- Deutsche Forschungsgemeinschaft [CRC1009 Z-02, EXC 1003]
- Innovative Medical Research of the University of Munster Medical School [BA211708]
- Interdisciplinary Centre for Clinical Research (IZKF, core unit PIX) at the University of Munster
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Purpose Dynamic contrast-enhanced MRI can be used in pharmacokinetic models to quantify functional parameters such as perfusion and permeability. However, precise quantification in preclinical models is challenged by the difficulties to dynamically measure the true arterial blood contrast agent concentration. We propose a novel approach toward a precise and experimentally feasible method to derive the arterial input function from DCE-MRI in mice. Methods Arterial blood was surgically shunted from the femoral artery to the tail vein and led through an extracorporeal circulation that resided on the head of brain tumor-bearing mice inside the FOV of a 9.4T MRI scanner. Dynamic 3D-FLASH scanning was performed after injection of gadobutrol with an effective resolution of 0.175 x 0.175 x 1 mm and a temporal resolution of 4 seconds. Pharmacokinetic modeling was performed using the extended Tofts and two-compartment exchange model. Results Arterial input functions measured inside the extracorporeal circulation showed little noise, small interindividual variance, and typical curve shapes. Ex vivo and mass spectrometry validation measurements documented the influence of shunt flow velocity and hematocrit on estimation of contrast agent concentrations. Modeling of tumors and muscles allowed fitting of the recorded dynamic concentrations, resulting in quantitative plausible parameters. Conclusion The extracorporeal circulation allows deriving the contrast agent dynamics in arterial blood with high robustness and at acceptable experimental effort from DCE-MRI, previously not achievable in mice. It sets the basis for quantitative precise pharmacokinetic modeling in small animals to enhance the translatability of preclinical DCE-MRI measurements to patients.
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