Non-Invasive Diagnosis of Liver Fibrosis: Modern Instrumental Methods
DOI:
https://doi.org/10.51699/ijhsms.v2i12.3134Keywords:
liver fibrosis, chronic liver diseases, non-invasive diagnostic methods, elastography, liver biopsy, magnetic resonance imaging, ultrasoundAbstract
Liver fibrosis is a dynamic pathological process that develops in chronic liver diseases, the outcome of which can be cirrhosis. Biopsy remains the gold standard for diagnosing hepatic fibrosis, but non-invasive diagnostic methods are currently being actively introduced into clinical practice. Unlike liver biopsy, most noninvasive instrumental tests are simple to perform, accessible, and repeatable, making them more convenient for assessing fibrotic changes over time. The review summarizes the basic principles of methods for non-invasive instrumental assessment of the severity of liver fibrosis, studied and put into practice over recent years. The most widely used methods in clinical practice are based on the principles of elastography, which makes it possible to indirectly determine the density of organ tissue. The techniques are characterized by varying sensitivity and specificity in the diagnosis of fibrosis. The main problems arise when differentiating the stages of the disease. For some methods, restrictions on their use are ascites and excessively developed subcutaneous fat; for others, the high cost of the procedure. Meanwhile, there is every reason to believe that non-invasive techniques can take a major place in the diagnosis of liver fibrosis and replace biopsy in the near future.
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References
Agbim U., Asrani S. Non-invasive assessment of liver fibrosis and prognosis: an update on serum and elastography markers. Expert Rev Gastroenterol Hepatol. 2019;13(4):361–374. DOI: 10.1080/17474124.2019.1579641.
Poynard T., Lenaour G., Vaillant J.C. et al. Liver biopsy analysis has a low level of performance for diagnosis of intermediate stages of fibrosis. Clin Gastroenterol Hepatol. 2012;10(6):657–663 e7. DOI: 10.1016/j.cgh.2012.01.023.
Castera L. Noninvasive assessment of liver fibrosis. Dig Dis. 2015;33(4):498– 503. DOI: 10.1159/000374097.
Yin M., Venkatesh S.K. Ultrasound or MR elastography of liver: which one shall I use? Abdom Radiol (NY). 2018; 43(7):1546–1551. DOI: 10.1007/s00261- 017-1340-z.
Дворяковская Г.М., Ивлева С.А., Дворяковский И.В. и др. Комплексная ультразвуковая диагностика в оценке паренхимы печени и стадий фиброза у детей с аутоиммунным гепатитом. Российский педиатрический журнал. 2016;19(1):4–8. [Dvoryakovskaya G.M., Ivleva S.A., Dvoryakovskiy I.V. et al. Comprehensive ultrasound diagnosis in the evaluation of liver parenchyma and stages of fibrosis in children with autoimmune hepatitis Russian Pediatric J. 2016;19(1):4–8 (in Russ.)]. DOI 10.18821/1560-9561-2016-19-1-4-8.
Жалилова Умида Джумаевна Неинвазивная диагностика фиброза печени: современные инструментальные методы.
Faria S.C., Ganesan K., Mwangi I. et al. MR imaging of liver fibrosis: current state of the art. Radiographics. 2009; 29:1615–1635. DOI: 10.1148/rg.296095512.
Huwart L., Sempoux C., Vicaut E. et al. Magnetic resonance elastography for the noninvasive staging of liver fibrosis. Gastroenterology. 2008; 135:32–40. DOI: 10.1053/j.gastro.2008.03.076.
Singh S., Venkatesh S.K., Wang Z. et al. Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data. Clin Gastroenterol Hepatol. 2015; 13:440–451. DOI:
1016/j.cgh.2014.09.046.
Loomba R., Wolfson T., Ang B. et al. Magnetic resonance elastography predicts advanced fibrosis in patients with nonalcoholic fatty liver disease: a prospective study. Hepatology. 2014; 60:1920–1928. DOI: 10.1002/hep.27362.
Venkatesh S.K., Yin M., Takahashi N. et al. Non-invasive detection of liver fibrosis: MR imaging features vs. MR elastography. Abdom Imaging. 2015; 40:766–775. DOI: 10.1007/s00261-015-0347-6.
Batheja M., Vargas H., Silva A.M. et al. Magnetic resonance elastography (MRE) in assessing hepatic fibrosis: performance in a cohort of patients with histological data. Abdom Imaging. 2015; 40:760–765. DOI: 10.1007/