Title | 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 |
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Type | Journal article |
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Authors | Mojtahed, A., Kelly, C.J., Herlihy, A.H., Kin, S., Wilman, H.R., McKay, A., Kelly, M., Milanesi, M., Neubauer, S,, Thomas, E.L., Bell, J.D., Banerjee, R. and Harisinghani, M. |
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Abstract | Purpose: Corrected T1 (cT1) value is a novel MRI-based quantitative metric for assessing a composite of liver inflammation and fibrosis. It has been shown to distinguish between non-alcoholic fatty liver disease (NAFL) and non-alcoholic steatohepatitis. However, these studies were conducted in patients at high risk for liver disease. This study establishes the normal reference range of cT1 values for a large UK population, and assesses interactions of age and gender. Methods: MR data were acquired on a 1.5T system as part of the UK Biobank Imaging Enhancement study. Measures for Proton Density Fat Fraction and cT1 were calculated from the MRI data using a multi-parametric MRI software application. Data that did not meet quality criteria were excluded from further analysis. Inter and intra-reader variability was estimated in a set of data. A cohort at low risk for NAFL was identified by excluding individuals with BMI ≥ 25kg/m2 and PDFF ≥ 5%. Of the 2816 participants with data of suitable quality, 1037 (37%) were classified as at low risk. Results: The cT1 values in the low risk population ranged from 573 to 852 ms with a median of 666 ms and interquartile range from 643-694 ms. Iron correction of T1 was necessary in 36.5% of this reference population. Age and gender had minimal effect on cT1 values. Conclusion: The majority of cT1 values are tightly clustered in a population at low risk for NAFL; suggesting it has the potential to serve as a new quantitative imaging biomarker for studies of liver health and disease. |
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Keywords | Non-alcoholic fatty liver disease |
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| Multiparametric magnetic resonance imaging |
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| Corrected T1 |
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| Quantitative imaging biomarkers |
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Journal | Abdominal Radiology |
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Journal citation | 44 (1), pp. 72-84 |
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ISSN | 2366-004X |
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Year | 2019 |
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Publisher | Springer |
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Publisher's version | |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/s00261-018-1701-2 |
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PubMed ID | 30032383 |
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Publication dates |
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Published online | 21 Jul 2018 |
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Published in print | Jan 2019 |
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License | CC BY 4.0 |
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