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Magnetic resonance imaging technique to quantify biomarkers for chronic liver diseases

https://doi.org/10.20340/vmi-rvz.2024.1.MIM.2

Abstract

Background. Recently, multiparametric magnetic resonance imaging (MRI) techniques have been developed to stratify clinically significant changes in chronic liver diseases (CLD). The advantage of multiparametric MRI is the visualization of the entire organ to eliminate the variability of the results during biopsy and the assessment of the quantitative characteristics of individual parameters of the liver parenchyma. A relatively new direction is the use of multiparametric MRI for the diagnosis of CLD with quantitative determination of fat, iron and fibrous changes in the liver parenchyma.

Aim. To develop a multiparametric MRI technique for the quantitative assessment of biomarkers in CLD.

Object and methods. A multiparametric MR study was performed in 57 patients with CLD using various pulse sequences.

Conclusion. The article reflects the developed multiparametric MRI technique for quantifying biomarkers in CLD, based on data of which it is possible to abandon invasive interventions in the process of diagnosis and monitoring the response to treatment.

About the Authors

Yu. N. Savchenkov
A.I. Burnazyan Federal Medical Biophysical Center; City Clinical Hospital No. 13
Russian Federation

Yuriy N. Savchenkov - Cand. Sci. (Med.), Assistant of the Department of Radiation Diagnostics with a course in Radiology,  23, Marshal Novikov str., Moscow, 123098;

Head of the Department of Radiation Diagnostics, Radiologist, 1/12, Velozavodskaya str., Moscow, 115280


Competing Interests:

-



G. E. Trufanov
V.A. Almazov National Medical Research Center
Russian Federation

Gennadiy E. Trufanov - Dr. Sci. (Med.), Professor, Head of the Department of Radiation Diagnostics and Medical Imaging, 

2, Akkuratova str., St. Petersburg, 197341


Competing Interests:

-



V. A. Fokin
V.A. Almazov National Medical Research Center
Russian Federation

Vladimir A. Fokin - Dr. Sci. (Med.), Professor of the Department of Radiation Diagnostics and Medical Imaging, 

2, Akkuratova str., St. Petersburg, 197341


Competing Interests:

-



A. Yu. Efimtsev
V.A. Almazov National Medical Research Center
Russian Federation

Aleksandr Yu. Efimtsev - Dr. Sci. (Med.), Associate Professor of the Department of Radiation Diagnostics and Medical Imaging,

2, Akkuratova str., St. Petersburg, 197341


Competing Interests:

-



S. E. Arakelov
City Clinical Hospital No. 13; Peoples' Friendship University of Russia
Russian Federation

Sergey E. Arakelov - Dr. Sci. (Med.), Professor, Head of the Department of Family Medicine with a Course of Palliative Care, 6, Miklukho-Maklaya str., Moscow, 117198;

Chief Physician, 1/12, Velozavodskaya str., Moscow, 115280

 


Competing Interests:

-



I. Yu. Titova
City Clinical Hospital No. 13
Russian Federation

Irina Yu. Titova - Deputy Chief Medical Officer,

1/12, Velozavodskaya str., Moscow, 115280


Competing Interests:

-



A. R. Meltonyan
V.A. Almazov National Medical Research Center
Russian Federation

Asya R. Meltonyan - Postgraduate student of the Department of Endocrinology, 

2, Akkuratova str., St. Petersburg, 197341


Competing Interests:

-



References

1. 1 Devarbhavi H., Asrani S.K., Arab J.P., Nartey Y.A., Pose E., Kamath P.S. Global burden of liver disease: 2023 update. J Hepatol. 2023;79(2):516-537. https://doi.org/10.1016/j.jhep.2023.03.017

2. 2 Huang D.Q., Terrault N.A., Tacke F., Gluud L.L., Arrese M., Bugianesi E. et al. Global epidemiology of cirrhosis - aetiology, trends and predictions. Nat Rev Gastroenterol Hepatol. 2023;20(6):388-398. https://doi.org/10.1038/s41575-023-00759-2

3. 3 Radu F., Potcovaru C.G., Salmen T., Filip P.V., Pop C., Fierbințeanu-Braticievici C. The Link between NAFLD and Metabolic Syndrome. Diagnostics (Basel). 2023;13(4):614. https://doi.org/10.3390/diagnostics13040614

4. 4 Younossi Z.M., Golabi P., Paik J.M., Henry A., Van Dongen C., Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023;77(4):1335-1347. https://doi.org/10.1097/HEP.0000000000000004

5. 5 Liu Y.B., Chen M.K. Epidemiology of liver cirrhosis and associated complications: Current knowledge and future directions. World J Gastroenterol. 2022; 28(41):5910-5930. https://doi.org/10.3748/wjg.v28.i41.5910

6. 6 Black A.P., Wallace J., Binka M., Butt Z.A. The challenges of viral hepatitis elimination: a global response to a global problem. BMC Public Health. 2023;23(1):1042. https://doi.org/10.1186/s12889-023-15960-w

7. 7 Adams P.C., Jeffrey G., Ryan J. Haemochromatosis. Lancet. 2023;401(10390):1811-1821. https://doi.org/10.1016/S0140-6736(23)00287-8

8. 8 Heo N.Y., Kim H. Epidemiology and updated management for autoimmune liver disease. Clin Mol Hepatol. 2023;29(1):194–196. https://doi.org/10.3350/cmh.2022.0387

9. 9 Reeder S.B., Sirlin C.B. Quantification of liver fat with magnetic resonance imaging. Magn. Reson. Imaging Clin. 2010;18:337–357. https://doi.org/10.1016/j.mric.2010.08.013

10. 10 Hu F., Yang R., Huang Z., Wang M., Yuan F., Xia C. et al. 3D Multi-Echo Dixon technique for simultaneous assessment of liver steatosis and iron overload in patients with chronic liver diseases: a feasibility study. Quant Imaging Med Surg. 2019;9(6):1014–1024. https://doi.org/10.21037/qims.2019.05.20

11. 11 Van Beers B.E., Garteiser P., Leporq B., Rautou P.E., Valla D. Quantitative Imaging in Difuse Liver Diseases. Semin Liver Dis. 2017;37(3):243-258. https://doi.org/10.1016/j.ajme.2017.06.007

12. 12 Lin H., Wei H., He N., Fu C., Cheng S., Cheng S. et al. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification. Eur Radiol. 2018;28(8):3494-3504. https://doi.org/10.1007/s00330-017-5263-4

13. 13 Lin H., Fu C., Kannengiesser S., Cheng S., Shen J., Dong H. et al. Quantitative analysis of hepatic iron in patients suspected of coexisting iron overload and steatosis using multi-echo single-voxel magnetic resonance spectroscopy: Comparison with fat-saturated multi-echo gradient echo sequence. J Magn Reson Imaging. 2018;48(1):205-213. https://doi.org/10.1002/jmri.25967

14. 14 St Pierre T.G., Clark P.R., Chua-anusorn W., Fleming A.J., Jefrey G.P., Pootrakul P. et al. Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance. Blood. 2005;105(2):855-861. https://doi.org/10.1182/blood-2004-01-0177

15. 15 Lv S., Jiang S., Liu S., Dong Q., Xin Y., Xuan S. Noninvasive Quantitative Detection Methods of Liver Fat Content in Nonalcoholic Fatty Liver Disease. J. Clin. Transl. Hepatol. 2018;6:217-221. https://doi.org/10.14218/JCTH.2018.00021

16. 16 Emara D.M., Reda M.M., Elwazzan D.A. Utility of diffusion weighted imaging (DWI) in assessment of liver fibrosis. Alexandria Journal of Medicine. 2018;54(4):347-352. https://doi.org/10.1016/j.ajme.2017.06.007

17. 17 Javadrashid R., Bavil Olyaei A.S., Tarzamni M.K., Milenković R.M., Masulović D.M., Milićević M. The diagnostic value of diffusion-weighted imaging in differentiating benign from malignant hepatic lesions. Egyptian Liver Journal. 2020;10(1):13. https://doi.org/10.1186/s43066- 020-0020-9

18. 18 Ren H., Liu Y., Lu J., An W., Wang W., Yan T. et al. Evaluating the clinical value of MRI multi-model diffusion-weighted imaging on liver fibrosis in chronic hepatitis B patients. Abdom Radiol (NY). 2021;46(4):1552-1561. https://doi.org/10.1007/s00261-020-02806-x

19. 19 Im W.H., Song J.S., Jang W. Noninvasive staging of liver fibrosis: review of current quantitative CT and MRI-based techniques. Abdom Radiol (NY). 2022;47(9):3051-3067. https://doi.org/10.1007/s00261-021-03181-x


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For citations:


Savchenkov Yu.N., Trufanov G.E., Fokin V.A., Efimtsev A.Yu., Arakelov S.E., Titova I.Yu., Meltonyan A.R. Magnetic resonance imaging technique to quantify biomarkers for chronic liver diseases. Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH). 2024;14(1):159-167. (In Russ.) https://doi.org/10.20340/vmi-rvz.2024.1.MIM.2

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ISSN 2226-762X (Print)
ISSN 2782-1579 (Online)