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Quantifying Liver Fat Using a Low-Field Unilateral MR System

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Abstract

Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent condition with a large impact on public health, but remains largely undetected among individual patients. MRI proton density fraction (MRI-PDFF) is the gold standard method for measuring liver fat content, but might be regarded as “overkill” for this diffuse liver disease process. There is a pressing current medical need for simpler non-invasive approaches to measure and track liver fat content over time, for which emerging unilateral permanent magnet MR technology is uniquely suited. In this study, we evaluate the potential of the barrel magnet system first described by Utsuzawa and Fukushima in 2017 to quantify liver fat content. We tested this novel unilateral MR system in oil–water emulsions and subsequently with ex vivo tissue samples from normal and fatty duck livers. In oil–water emulsions, the system provided good linear agreement between fat signal amplitudes derived from Bayesian analysis of MR signals and known oil content. Clear differences in water and fat signal amplitudes were also observed between normal and fatty liver samples. The ability to discriminate differences in fat content as little as 5% demonstrates clear potential clinical relevance for medical management of NAFLD using a scaled-up system designed for human studies.

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Raw data are available to interested parties on request.

References

  1. P.B. Duell et al., Nonalcoholic fatty liver disease and cardiovascular risk: a scientific statement from the American Heart Association. Arterioscler. Thromb. Vasc. Biol. 42(6), e168–e185 (2022)

    Article  Google Scholar 

  2. B.J. Perumpail et al., Clinical epidemiology and disease burden of nonalcoholic fatty liver disease. World J. Gastroenterol. 23(47), 8263–8276 (2017)

    Article  Google Scholar 

  3. N.H. Bzowej, Nonalcoholic steatohepatitis: the new frontier for liver transplantation. Curr. Opin. Organ Transplant. 23(2), 169–174 (2018)

    Article  Google Scholar 

  4. Y. Sumida et al., Phase 3 drug pipelines in the treatment of non-alcoholic steatohepatitis. Hepatol. Res. 49(11), 1256–1262 (2019)

    Article  Google Scholar 

  5. A. Tang et al., Accuracy of MR imaging-estimated proton density fat fraction for classification of dichotomized histologic steatosis grades in nonalcoholic fatty liver disease. Radiology 274(2), 416–425 (2015)

    Article  Google Scholar 

  6. C. Caussy et al., Noninvasive, quantitative assessment of liver fat by MRI-PDFF as an endpoint in NASH trials. Hepatology 68(2), 763–772 (2018)

    Article  Google Scholar 

  7. C. Caussy, L. Johansson, Magnetic resonance-based biomarkers in nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Endocrinol. Diabetes Metab. 3(4), e00134 (2020)

    Article  Google Scholar 

  8. O.W. Hamer et al., Fatty liver: imaging patterns and pitfalls. Radiographics 26(6), 1637–1653 (2006)

    Article  Google Scholar 

  9. S.B. Reeder, C.B. Sirlin, Quantification of liver fat with magnetic resonance imaging. Magn. Reson. Imaging Clin. N. Am. 18(3), 337–57 (2010)

    Article  Google Scholar 

  10. V. Capitan et al., Macroscopic heterogeneity of liver fat: an MR-based study in type-2 diabetic patients. Eur. Radiol. 22(10), 2161–2168 (2012)

    Article  Google Scholar 

  11. Q. Li et al., Current status of imaging in nonalcoholic fatty liver disease. World J. Hepatol. 10(8), 530–542 (2018)

    Article  Google Scholar 

  12. A. Bashyam et al., A portable single-sided magnetic-resonance sensor for the grading of liver steatosis and fibrosis. Nat. Biomed. Eng. 5(3), 240–251 (2021)

    Article  Google Scholar 

  13. M. Barahman et al., Point-of-care magnetic resonance technology to measure liver fat: phantom and first-in-human pilot study. Magn. Reson. Med. 88(4), 1794–1805 (2022)

    Article  Google Scholar 

  14. R.S. Lu et al., A novel portable unilateral magnetic resonance magnet for noninvasive quantification of human liver fat. IEEE Trans. Instrum. Meas. 72, 1–8 (2023)

    Article  Google Scholar 

  15. S. Utsuzawa, E. Fukushima, Unilateral NMR with a barrel magnet. J. Magn. Reson. 282, 104–113 (2017)

    Article  ADS  Google Scholar 

  16. J.A. Jackson, L.J. Burnett, J.F. Harmon, Remote (inside-out) Nmr. 3. Detection of nuclear magnetic-resonance in a remotely produced region of homogeneous magnetic-field. J. Magn. Reson. 41(3), 411–421 (1980)

    ADS  Google Scholar 

  17. M.S. Conradi, S.A. Altobelli, Spatial selectivity by shaping the static field: sweet spots and spider legs. Appl. Magn. Reson. (2023). https://doi.org/10.1007/s00723-023-01548-5

    Article  Google Scholar 

  18. B. Blumich et al., The NMR-mouse: construction, excitation, and applications. Magn. Reson. Imaging 16(5–6), 479–484 (1998)

    Article  Google Scholar 

  19. Stan Development Team. Stan modeling language users guide and reference manual. https://mc-stan.org (2023).

  20. S.H. Baete et al., Microstructural analysis of foam by use of NMR R2 dispersion. J. Magn. Reson. 193(2), 286–296 (2008)

    Article  ADS  Google Scholar 

  21. Y. Nakashima, Development of a single-sided nuclear magnetic resonance scanner for the in vivo quantification of live cattle marbling. Appl. Magn. Reson. 46(5), 593–606 (2015)

    Article  Google Scholar 

  22. Y. Nakashima, Non-destructive quantification of lipid and water in fresh tuna meat by a single-sided nuclear magnetic resonance scanner. J. Aquat. Food Prod. Technol. 28(2), 241–252 (2019)

    Article  Google Scholar 

  23. M.D. Hurlimann, Diffusion and relaxation effects in general stray field NMR experiments. J. Magn. Reson. 148(2), 367–378 (2001)

    Article  ADS  Google Scholar 

  24. F. Balibanu et al., Nuclear magnetic resonance in inhomogeneous magnetic fields. J. Magn. Reson. 145(2), 246–258 (2000)

    Article  ADS  Google Scholar 

  25. J.H. Ahn et al., Effect of hepatic steatosis on native T1 mapping of 3T magnetic resonance imaging in the assessment of T1 values for patients with non-alcoholic fatty liver disease. Magn. Reson. Imaging 80, 1–8 (2021)

    Article  Google Scholar 

  26. D. Capitani et al., Portable NMR in food analysis. Chem. Biol. Technol. Agric. (2017). https://doi.org/10.1186/s40538-017-0100-1

    Article  Google Scholar 

  27. T. Toro-Ramos et al., Reliability of the EchoMRI infants system for water and fat measurements in newborns. Obesity (Silver Spring) 25(9), 1577–1583 (2017)

    Article  Google Scholar 

  28. G.Z. Taicher et al., Quantitative magnetic resonance (QMR) method for bone and whole-body-composition analysis. Anal. Bioanal. Chem. 377(6), 990–1002 (2003)

    Article  Google Scholar 

  29. L.A. Colucci et al., Fluid assessment in dialysis patients by point-of-care magnetic relaxometry. Sci. Transl. Med. (2019). https://doi.org/10.1126/scitranslmed.aau1749

    Article  Google Scholar 

  30. A. Bashir, R. Gropler, J. Ackerman, Absolute quantification of human liver phosphorus-containing metabolites in vivo using an inhomogeneous spoiling magnetic field gradient. PLoS One 10(12), e0143239 (2015)

    Article  Google Scholar 

  31. V.O. Boer et al., Lipid suppression for brain MRI and MRSI by means of a dedicated crusher coil. Magn. Reson. Med. 73(6), 2062–2068 (2015)

    Article  Google Scholar 

  32. W. Chen, J.J.H. Ackerman, Spatially-localized NMR spectroscopy employing an inhomogeneous surface-spoiling magnetic field gradient. 1. Phase coherence spoiling theory and gradient coil design. NMR Biomed. 3(4), 147–57 (1990)

    Article  Google Scholar 

  33. D.G. Wiesler et al., Reduction of field of view in MRI using a surface-spoiling local gradient insert. J. Magn. Reson. Imaging 8(4), 981–988 (1998)

    Article  Google Scholar 

  34. L.L. Wald et al., Low-cost and portable MRI. J. Magn. Reson. Imaging 52(3), 686–696 (2020)

    Article  Google Scholar 

  35. R. Heiss et al., Low-field magnetic resonance imaging: a new generation of breakthrough technology in clinical imaging. Investig. Radiol. 56(11), 726–733 (2021)

    Article  Google Scholar 

  36. P.C. McDaniel et al., The MR cap: a single-sided MRI system designed for potential point-of-care limited field-of-view brain imaging. Magn. Reson. Med. 82(5), 1946–1960 (2019)

    Article  Google Scholar 

  37. P. Satya et al., Office-based, single-sided, low-field MRI-guided prostate biopsy. Cureus 14(5), e25021 (2022)

    Google Scholar 

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Authors

Contributions

CVM and MSC conceptualized this study. CVM conducted the experiments and wrote the manuscript text. TB analyzed the experimental data and prepared Figs. 4 and 5. All authors reviewed the manuscript.

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Correspondence to Cornelius von Morze.

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Dr. Conradi is an employee of ABQMR, Inc.

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Prepared for Applied Magnetic Resonance issue on the occasion of Bernhard Blümich’s 70th birthday.

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von Morze, C., Blazey, T. & Conradi, M.S. Quantifying Liver Fat Using a Low-Field Unilateral MR System. Appl Magn Reson 54, 1365–1376 (2023). https://doi.org/10.1007/s00723-023-01595-y

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