AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home iLIVER Article
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Open Access

Advances in diagnostic ultrasound techniques for assessing liver steatosis in nonalcoholic fatty liver disease

Zhaoxin Wanga( )Yarong MaaXiaolei WubYingxin LucQiuyun Shed
Beijing University of Chinese Medicine, Beijing 100029, China
Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
Dongguan Hospital of Traditional Chinese Medicine, Dongguan 523000, China
Caoyang Street Community Health Service Center of Shanghai City, Shanghai 200062, China
Show Author Information

Abstract

The incidence of nonalcoholic fatty liver disease (NAFLD), a common chronic liver disease, is increasing yearly. With increasing degrees of liver steatosis, NAFLD can progress to varying degrees of hepatic fibrosis, cirrhosis, and even hepatocellular carcinoma (HCC), with a concomitant increase in the risk of metabolic syndrome and cardiovascular disease. Therefore, early diagnosis and accurate assessment of NAFLD are particularly significant. Although liver biopsy is regarded as the standard for evaluating the degree of hepatic steatosis in NAFLD, it is not frequently utilized due to its invasiveness. Ultrasound technology as a noninvasive diagnostic method has the advantages of operating simplicity and economy. It can effectively diagnose and assess the disease of NAFLD. This article mainly summarizes the current status and progress of research on the assessment of NAFLD and liver steatosis by two main types of ultrasound techniques, semi-quantitative and quantitative ultrasound, as well as other emerging techniques, and briefly describes the strengths and limitations of B-mode ultrasound, controlled attenuation parameters (CAP), and attenuation imaging (ATI) in this field.

References

[1]
Nassir F. NAFLD: Mechanisms, Treatments, and Biomarkers. Biomolecules 2022 Jun 13;12(6):824. https://doi.org/10.3390/biom12060824.
[2]
Kim D, Manikat R, Shaikh A, et al. Depression in nonalcoholic fatty liver disease and all-cause/cause-specific mortality. Eur J Clin Investig 28 Aug. 2023: e14087. https://doi.org/10.1111/eci.14087.
[3]

Sheka AC, Adeyi O, Thompson J, et al. Nonalcoholic steatohepatitis: a review. JAMA 2020;323(12):1175–83. https://doi.org/10.1001/jama.2020.2298.

[4]

Zhou J, Zhou F, Wang W, et al. Epidemiological features of NAFLD from 1999 to 2018 in China. Hepatology 2020 May;71(5):1851–64. https://doi.org/10.1002/hep.31150.

[5]

Del Campo JA, Gallego-Durán R, Gallego P, et al. Genetic and epigenetic regulation in nonalcoholic fatty liver disease (NAFLD). Int J Mol Sci 2018;19(3):911. https://doi.org/10.3390/ijms19030911.

[6]

Khalifa A, Rockey DC. The utility of liver biopsy in 2020. Curr Opin Gastroenterol 2020;36(3):184–91. https://doi.org/10.1097/MOG.0000000000000621.

[7]

Jia Tianli, Huang Li, Ling Xueying, et al. Quantitative MRI of hepatic fat fraction in NAFLD patients. J Clin Radiol 2017;36(11):1643–7.

[8]

Zhang YN, Fowler KJ, Hamilton G, et al. Liver fat imaging—a clinical overview of ultrasound, CT, and MR imaging. Br J Radiol 2018;91(1089):20170959. https://doi.org/10.1259/bjr.20170959.

[9]

Alshagathrh FM, Househ MS. Artificial intelligence for detecting and quantifying fatty liver in ultrasound images: a systematic review. Bioengineering 2022;9(12): 748. https://doi.org/10.3390/bioengineering9120748.

[10]
Committee of Hepatology, Chinese Research Hospital Association, Fatty Liver Expert Committee, et al. Expert recommendations on standardized diagnosis and treatment for fatty liver disease in China (2019 revised edition). Zhonghua Gan Zang Bing Za Zhi. 2019 Oct 20;27(10): 748-753. Chinese. doi: 10.3760/cma.j.issn.1007-3418.2019.10.003.
[11]

Hernaez R, Lazo M, Bonekamp S, et al. Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis. Hepatology 2011; 54(3):1082–90. https://doi.org/10.1002/hep.24452.

[12]

Hamaguchi M, Kojima T, Itoh Y, et al. The severity of ultrasonographic findings in nonalcoholic fatty liver disease reflects the metabolic syndrome and visceral fat accumulation. Off J Am Coll Gastroenterol 2007;102(12):2708–15. https://doi.org/10.1111/j.1572-0241.2007.01526.x.

[13]

Dasarathy S, Dasarathy J, Khiyami A, et al. Validity of real time ultrasound in the diagnosis of hepatic steatosis: a prospective study. J Hepatol 2009;51(6):1061–7. https://doi.org/10.1016/j.jhep.2009.09.001.

[14]

Avramovski P, Avramovska M, Nikleski Z, et al. The predictive value of the hepatorenal index for detection of impaired glucose metabolism in patients with non-alcoholic fatty liver disease. Indian J Gastroenterol 2020;39(1):50–9. https://doi.org/10.1007/s12664-019-01009-7.

[15]

Borges VF, Diniz AL, Cotrim HP, et al. Sonographic hepatorenal ratio: a noninvasive method to diagnose nonalcoholic steatosis. J Clin Ultrasound 2013;41(1):18–25. https://doi.org/10.1002/jcu.21994.

[16]

Isaksen VT, Larsen MA, Goll R, et al. Hepatic steatosis, detected by hepatorenal index in ultrasonography, as a predictor of insulin resistance in obese subjects. BMC Obes 2016;3(1):1–9. https://doi.org/10.1186/s40608-016-0118-0.

[17]

Tapper EB, Loomba R. Noninvasive imaging biomarker assessment of liver fibrosis by elastography in NAFLD. Nat Rev Gastroenterol Hepatol 2018;15(5):274–82. https://doi.org/10.1038/nrgastro.2018.10.

[18]

Eddowes PJ, Sasso M, Allison M, et al. Accuracy of FibroScan controlled attenuation parameter and liver stiffness measurement in assessing steatosis and fibrosis in patients with nonalcoholic fatty liver disease. Gastroenterology 2019;156(6): 1717–30. https://doi.org/10.1053/j.gastro.2019.01.042.

[19]

Fu Yiming, Wang Chunyan, Li Zhongbin, et al. Grading diagnostic efficiency of controlled attenuation parameter on hepatic steatosis of patients with nonalcoholic fatty liver disease. Med J Chin Peoples Lib Army 2022;47(6): 593–8.

[20]

Oeda S, Takahashi H, Imajo K, et al. Accuracy of liver stiffness measurement and controlled attenuation parameter using FibroScan® M/XL probes to diagnose liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease: a multicenter prospective study. J Gastroenterol 2020;55(4):428–40. https://doi.org/10.1007/s00535-019-01635-0.

[21]

Bae JS, Lee DH, Lee JY, et al. Assessment of hepatic steatosis by using attenuation imaging: a quantitative, easy-to-perform ultrasound technique. Eur Radiol 2019: 1–9. https://doi.org/10.1007/s00330-019-06272-y.

[22]

Oeda S, Tanaka K, Oshima A, et al. Diagnostic accuracy of FibroScan and factors affecting measurements. Diagnostics 2020;10(11):940. https://doi.org/10.3390/diagnostics10110940.

[23]

Tada T, Iijima H, Kobayashi N, et al. Usefulness of attenuation imaging with an ultrasound scanner for the evaluation of hepatic steatosis. Ultrasound Med Biol 2019;45(10):2679–87. https://doi.org/10.1016/j.ultrasmedbio.2019.05.033.

[24]

Jang JK, Kim SY, Yoo IW, et al. Diagnostic performance of ultrasound attenuation imaging for assessing low-grade hepatic steatosis. Eur Radiol 2022;32(3):2070–7. https://doi.org/10.1007/s00330-021-08269-y.

[25]

Kwon EY, Kim YR, Kang DM, et al. Usefulness of US attenuation imaging for the detection and severity grading of hepatic steatosis in routine abdominal ultrasonography. Clinical Imaging 2021;76:53–9. https://doi.org/10.1016/j.clinimag.2021.01.034.

[26]

Jeon SK, Lee JM, Joo I, et al. Assessment of the inter-platform reproducibility of ultrasound attenuation examination in nonalcoholic fatty liver disease. Ultrasonography 2022;41(2):355. https://doi.org/10.14366/usg.21167.

[27]

Podrug K, Sporea I, Lupusoru R, et al. Diagnostic performance of 2-D shear-wave elastography with propagation maps and attenuation imaging in patients with nonalcoholic fatty liver disease. Ultrasound Med Biol 2021;47(8):2128–37. https://doi.org/10.1016/j.ultrasmedbio.2021.03.025.

[28]

Guo Y, Dong C, Lin H, et al. Evaluation of non-alcoholic fatty liver disease using acoustic radiation force impulse imaging elastography in rat models. Ultrasound Med Biol 2017;43(11):2619–28. https://doi.org/10.1016/j.ultrasmedbio.2017.06.026.

[29]

Newsome PN, Sasso M, Deeks JJ, et al. FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol 2020;5(4):362–73. https://doi.org/10.1016/S2468-1253(19)30383-8.

[30]

Zhao G, Guo S, Xie Q, et al. Diagnostic accuracy of FibroScan-AST score in nonalcoholic steatohepatitis with significant activity and fibrosis. J Clin Hepatol 2022;38(6):1288–92. https://doi.org/10.3969/j.issn.1001-5256.2022.06.014.

[31]

Kim BK, Tamaki N, Imajo K, et al. Head-to-head comparison between MEFIB, MAST, and FAST for detecting stage 2 fibrosis or higher among patients with NAFLD. J Hepatol 2022;77(6):1482–90. https://doi.org/10.1016/j.jhep.2022.07.020.

iLIVER
Pages 214-218
Cite this article:
Wang Z, Ma Y, Wu X, et al. Advances in diagnostic ultrasound techniques for assessing liver steatosis in nonalcoholic fatty liver disease. iLIVER, 2023, 2(4): 214-218. https://doi.org/10.1016/j.iliver.2023.10.002

273

Views

1

Crossref

Altmetrics

Received: 04 September 2023
Revised: 03 October 2023
Accepted: 23 October 2023
Published: 03 November 2023
© 2023. Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return