A model selection framework to quantify microvascular liver function in gadoxetate‐enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma
نویسندگان
چکیده
Purpose We introduce a novel, generalized tracer kinetic model selection framework to quantify microvascular characteristics of liver and tumor tissue in gadoxetate-enhanced dynamic contrast-enhanced MRI (DCE-MRI). Methods Our includes hierarchy nested models, from which physiological parameters are derived 2 regimes, corresponding the active transport free diffusion gadoxetate. use simulations show sensitivity parameter estimation temporal resolution, time-series duration, noise. apply 8 healthy volunteers (time-series duration up 24 minutes) 10 patients with hepatocellular carcinoma (6 minutes). Results The regime is preferred 98.6% voxels volunteers, 82.1% patients’ non-tumorous liver, 32.2% voxels. Interpatient variations correspond known co-morbidities. Simulations suggest both datasets have sufficient resolution signal-to-noise ratio, while patient data would be improved by using at least 12 minutes. Conclusions In data, gadoxetate exhibits different kinetics: (a) between regions (b) within due disease and/or heterogeneity. selects interpretation each voxel, without preselecting for region or duplicating time-consuming optimizations models identical functional forms.
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ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 2021
ISSN: ['0740-3194', '1522-2594']
DOI: https://doi.org/10.1002/mrm.28798