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Clinical Evidence

Through collaboration with world-leading experts on metabolic diseases, cancer, diabetes and other chronic diseases we have over 40 peer-reviewed publications.

Featured Publications

Pavlides, M., et al. (2017). Multiparametric magnetic resonance imaging for the assessment of nonalcoholic fatty liver disease severity. Liver International, 37(7), 1065-1073.

Pavlides, M., et al. (2016). Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. Journal of Hepatology, 64(2), 308-315.

Banerjee, R., et al. (2014). Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. Journal of Hepatology, 60(1), 69–77.

Clinical Literature

Dillman, J. et al. (2019). Diagnostic performance of quantitative magnetic resonance imaging biomarkers for predicting portal hypertension in children and young adults with autoimmune liver disease. Pediatric Radiology, 49(3), 332–341.

Castera, L., et al. (2019). Noninvasive Assessment of Liver Disease in Patients with Nonalcoholic Fatty Liver Disease. Gastroenterology, 156(5), 1264–1281.

Levick C., et al. (2019). Non-invasive assessment of portal hypertension by multi-parametric magnetic resonance imaging of the spleen: A proof of concept study. PLOS ONE, 14(8), e0221066.

Bradley, C., et al. (2019). Short-term changes observed in multiparametric liver MRI following therapy with direct-acting antivirals in chronic hepatitis C virus patients. European Radiology, 29(6), 3100-3107.

Li, Q., et al. (2018) Current status of imaging in nonalcoholic fatty liver disease. World Journal of Hepatology, 10(8), 530-542.

McDonald, N., et al. (2018). Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study. Scientific Reports, 8(1), 9189.

Breen, D., (2018). Multiparametric magnetic resonance imaging for early detection of diffuse liver disease. Biomarkers in Medicine, 12(2), 105-106.

Hoy, A.M., et al. (2018). Non-invasive assessment of liver disease in rats using multiparametric magnetic resonance imaging: a feasibility study. Biology Open, 7, bio033910.

Eddowes, P., et al. (2017). Utility and cost evaluation of multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease. Alimentary Pharmacology & Therapeutics, 47(5), 631-644.

Pavlides, M., et al. (2017). Multiparametric magnetic resonance imaging for the assessment of nonalcoholic fatty liver disease severity. Liver International, 37(7), 1065-1073.

Pavlides, M., et al. (2016). Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. Journal of Hepatology, 64(2), 308-315.

Levelt, E., et al. (2016). Ectopic and visceral fat deposition in lean and obese patients with Type 2 Diabetes. Journal of the American College of Cardiology, 68(1), 53–63.

Hoad, C. L., et al. (2015). A study of T1 relaxation time as a measure of liver fibrosis and the influence of confounding histological factors. NMR Biomedicine, 28(6), 706–14.

Banerjee, R., et al. (2014). Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. Journal of Hepatology, 60(1), 69–77.

Interventional Clinical Studies

Harrison, S. A., et al. (2020). NGM282 Improves Liver Fibrosis and Histology in 12 Weeks in Patients with Nonalcoholic Steatohepatitis. Hepatology, 71(4), 1198–1212.

Harrison, S. A., et al. (2018). Utility and variability of three non-invasive liver fibrosis imaging modalities to evaluate efficacy of GR-MD-02 in subjects with NASH and bridging fibrosis during a Phase 2 controlled study. PLOS ONE, 13(9), e0203054.

Mole, D. J., et al. (2018). Study Protocol: HepaT1ca -An observational clinical cohort study to quantify liver health in surgical candidates for liver malignancies. BMC Cancer, 18(1), 890.

McKay, A. G., et al. (2016). Patient reported assessment of different diagnostic imaging tests for liver disease – visual representation and ownership of results improves understanding. AASLD, Boston, 22-15 November.

Jayaswal, A., et al. (2019). Liver cT1 predicts clinical outcomes in patients with chronic liver disease. EASL, The International Liver Congress, Vienna, 10-14 April.

Dennis, A., et al. (2018). Non-invasive multi-parametric MRI correlates histological measures of disease activity in NASH. NASH-TAG, Utah, 4-6 January.

Population Studies

Wilman, H., et al. (2019). Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration. Journal of Hepatology, 71(3), 594-602.

McKay, A., et al. (2018). Measurement of liver iron by magnetic resonance imaging in the UK Biobank population. PLOS ONE, 13(12), e0209340.

Mojtahed, A., et al. (2018). Reference range of liver corrected T1 values in a population at low risk for fatty liver disease: a UK Biobank sub-study with an Appendix of interesting cases. Abdominal Radiology, 44(1), 72-84.

Wilman, H.R., et al. (2017). Characterisation of liver fat in the UK Biobank cohort. PLOS ONE, 12(2), e0172921.

Harrison, S.A., et al. (2017) Prospective prevalence study of adult NAFLD/NASH utilising multi-modality imaging compared with liver biopsy. EASL, The International Liver Congress, Amsterdam, 19-23 April.

Health Economics

Blake, L., et al. (2016). Decision analytic model of the diagnostic pathways for patients with suspected non-alcoholic fatty liver disease using non-invasive transient elastography and multiparametric magnetic resonance imaging. BMJ Open, 6(9), e010507.

Eddowes, P., et al. (2017). Utility and cost evaluation of multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease. Alimentary Pharmacology & Therapeutics, 47(5), 631-644.

Technical Validation

Bachtiar, V., et al. (2019). Reliability and Reproducibility of Multiparametric Magnetic Resonance Imaging of the Liver. PLOS ONE, 14(4), e0214921.

Bagur, A., et al. (2019). Magnitude-intrinsic water–fat ambiguity can be resolved with multipeak fat modeling and a multipoint search method. Magnetic Resonance in Medicine, 82(1), 460–475.

Hutton, A., et al. (2018). Validation of a standardized method for liver fat and T2* quantification. PLOS ONE, 13(9), e0204175.

Tunnicliffe, E. M., et al. (2017). A Model for Hepatic Fibrosis: The Competing Effects of Cell Loss and Iron on Shortened Modified Look-Locker Inversion Recovery T1 (shMOLLI-T1) in the Liver. Journal of Magnetic Resonance Imaging, 45(2), 450-462.

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Research