A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma
Little, R. A.
O'Connor, James P B
Parker, G. J. M.
AffiliationDivision of Cancer Sciences, Quantitative Biomedical Imaging Laboratory, University of Manchester, Manchester, UK
MetadataShow full item record
AbstractPurpose: 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.
CitationBerks M, Little RA, Watson Y, Cheung S, Datta A, O’Connor JPB, et al. A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma. Magn Reson Med. 2021 May 11;
JournalMagnetic Resonance in Medicine
- Quantitative Assessment of Liver Function Using Gadoxetate-Enhanced Magnetic Resonance Imaging: Monitoring Transporter-Mediated Processes in Healthy Volunteers.
- Authors: Georgiou L, Penny J, Nicholls G, Woodhouse N, Blé FX, Hubbard Cristinacce PL, Naish JH
- Issue date: 2017 Feb
- Optimal Combination of Features on Gadoxetate Disodium-enhanced MR Imaging for Non-invasive Differential Diagnosis of Hepatocellular Carcinoma: The JAMP-HCC Study.
- Authors: Ichikawa S, Motosugi U, Morisaka H, Kozaka K, Goshima S, Ichikawa T
- Issue date: 2021 Mar 1
- Arterial subtraction images of gadoxetate-enhanced MRI improve diagnosis of early-stage hepatocellular carcinoma.
- Authors: Kim DH, Choi SH, Byun JH, Kang JH, Lim YS, Lee SJ, Kim SY, Won HJ, Shin YM, Kim PN
- Issue date: 2019 Sep
- LI-RADS Version 2017 versus Version 2018: Diagnosis of Hepatocellular Carcinoma on Gadoxetate Disodium-enhanced MRI.
- Authors: Lee SM, Lee JM, Ahn SJ, Kang HJ, Yang HK, Yoon JH
- Issue date: 2019 Sep
- Comparison of hepatocellular carcinoma conspicuity on hepatobiliary phase images with gadoxetate disodium vs. delayed phase images with extracellular cellular contrast agent.
- Authors: Kim SY, Wu EH, Park SH, Wang ZJ, Hope TA, Yee J, Zhao LQ, Chang WC, Yeh BM
- Issue date: 2016 Aug