Berks, M;
Little, RA;
Watson, Y;
Cheung, S;
Datta, A;
O'Connor, JPB;
Scaramuzza, D;
(2021)
A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma.
Magnetic Resonance in Medicine
, 86
(4)
pp. 1829-1844.
10.1002/mrm.28798.
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Abstract
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 framework includes a hierarchy of nested models, from which physiological parameters are derived in 2 regimes, corresponding to the active transport and free diffusion of gadoxetate. We use simulations to show the sensitivity of model selection and parameter estimation to temporal resolution, time-series duration, and noise. We apply the framework in 8 healthy volunteers (time-series duration up to 24 minutes) and 10 patients with hepatocellular carcinoma (6 minutes). Results: The active transport regime is preferred in 98.6% of voxels in volunteers, 82.1% of patients’ non-tumorous liver, and 32.2% of tumor voxels. Interpatient variations correspond to known co-morbidities. Simulations suggest both datasets have sufficient temporal resolution and signal-to-noise ratio, while patient data would be improved by using a time-series duration of at least 12 minutes. Conclusions: In patient data, gadoxetate exhibits different kinetics: (a) between liver and tumor regions and (b) within regions due to liver disease and/or tumor heterogeneity. Our generalized framework selects a physiological interpretation at each voxel, without preselecting a model for each region or duplicating time-consuming optimizations for models with identical functional forms.
| Type: | Article |
|---|---|
| Title: | A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/mrm.28798 |
| Publisher version: | https://doi.org/10.1002/mrm.28798 |
| Language: | English |
| Additional information: | © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Radiology, Nuclear Medicine & Medical Imaging, gadoxetate, hepatocellular carcinoma, model selection, quantitative DCE‐, MRI, tracer kinetic modeling, DCE-MRI, HEPATOBILIARY PHASE, HEPATIC METASTASES, TRACER KINETICS, BLOOD-FLOW, QUANTIFICATION, PERFUSION, BIOMARKER, CIRRHOSIS, CT |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10133531 |
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