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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 37 Issue 12
Dec.  2021
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Article Contents

Value of magnetic resonance imaging-proton density fat fraction and FibroScan in quantitative evaluation of liver fat content in patients with chronic hepatitis B

DOI: 10.3969/j.issn.1001-5256.2021.12.013
Research funding:

Project of Administration of Traditional Chinese Medicine of Guangdong Province of China (20202072);

Special Project of Guangdong Provincial Hospital of Traditional Chinese Medicine in 2019 (Youth Project) (YN2019QL09)

  • Received Date: 2021-04-06
  • Accepted Date: 2021-05-19
  • Published Date: 2021-12-20
  •   Objective  To investigate the value of magnetic resonance imaging-proton density fat fraction (MRI-PDFF) and FibroScan in the quantitative evaluation of liver fat content in patients with chronic hepatitis B (CHB).  Methods  A total of 96 patients with CHB who were hospitalized in Department of Hepatology, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, from February 2017 to July 2020 were enrolled, and all patients were diagnosed based on liver pathological examination. MRI-PDFF and FibroScan were performed before surgery. According to the results of liver biopsy, the patients were divided into non-fatty liver disease group with 44 patients, mild fatty liver disease group with 33 patients, and moderate-to-severe fatty liver disease group with 19 patients. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups; the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups, and the Mann-Whitney U test was used for further comparison between two groups; Bonferroni correction was also performed. The receiver operating characteristic (ROC) curve was plotted to analyze the area under the ROC curve (AUC) of hepatic fat fraction (HFF) and controllable attenuation parameters (CAP) in the diagnosis of fatty liver disease and obtain their sensitivities, specificities, and optimal cut-off values. The intraclass correlation coefficient was used to investigate the consistency of MRI-PDFF data.  Results  The moderate-to-severe fatty liver disease group had a significant increase in MRI-PDFF HFF compared with the non-fatty liver disease group and the mild fatty liver disease group (all P < 0.05), and the mild fatty liver disease group had a significant increase in MRI-PDFF HFF compared with the non-fatty liver disease group(P < 0.05). The moderate-to-severe fatty liver disease group had a significant increase in FibroScan CAP compared with the non-fatty liver disease group and the mild fatty liver disease group (all P < 0.05), and the mild fatty liver disease group had a significant increase in FibroScan CAP compared with the non-fatty liver disease group (P < 0.05). In the diagnosis of mild fatty liver disease, MRI-PDFF HFF had an AUC of 0.901 (P < 0.001), a sensitivity of 90.9%, and a specificity of 82.7% at the optimal cut-off value of 5.1%, and in the diagnosis of moderate-to-severe fatty liver disease, MRI-PDFF HFF had an AUC of 0.972 (P < 0.001), a sensitivity of 96.1%, and a specificity of 89.5% at the optimal cut-off value of 9.7%. In the diagnosis of mild fatty liver disease, FibroScan CAP had an AUC of 0.829 (P < 0.001), a sensitivity of 77.3%, and a specificity of 78.8% at the optimal cut-off value of 258.5 dB/m, and in the diagnosis of moderate-to-severe fatty liver disease, FibroScan CAP had an AUC of 0.830 (P < 0.001), a sensitivity of 76.6%, and a specificity of 78.9% at the optimal cut-off value of 285.5 dB/m.  Conclusion  Both MRI-PDFF and FibroScan can objectively evaluate the degree of fatty liver disease in patients with CHB. MRI-PDFF HFF and FibroScan CAP can be used as noninvasive markers for the quantitative analysis of CHB with hepatic steatosis, and MRI-PDFF HFF tends to have higher diagnostic efficiency.

     

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  • [1]
    Chinese Society of Infectious Diseases, Chinese Medical Association, Chinese Society of Hepatology, Chinese Medical Association. Guidelines for the prevention and treatment of chronic hepatitis B (version 2019)[J]. J Clin Hepatol, 2019, 35(12): 2648-2669. DOI: 10.3969/j.issn.1001-5256.2019.12.007.

    中华医学会感染病学分会, 中华医学会肝病学分会. 慢性乙型肝炎防治指南(2019年版)[J]. 临床肝胆病杂志, 2019, 35(12): 2648-2669. DOI: 10.3969/j.issn.1001-5256.2019.12.007.
    [2]
    YE J, WANG W, FENG S, et al. Precise fibrosis staging with shear wave elastography in chronic hepatitis B depends on liver inflammation and steatosis[J]. Hepatol Int, 2020, 14(2): 190-201. DOI: 10.1007/s12072-020-10017-1.
    [3]
    CHANG JW, LEE HW, KIM BK, et al. Hepatic steatosis index in the detection of fatty liver in patients with chronic hepatitis B receiving antiviral therapy[J]. Gut Liver, 2021, 15(1): 117-127. DOI: 10.5009/gnl19301.
    [4]
    CHEN YC, JENG WJ, HSU CW, et al. Impact of hepatic steatosis on treatment response in nuclesos(t)ide analogue-treated HBeAg-positive chronic hepatitis B: A retrospective study[J]. BMC Gastroenterol, 2020, 20(1): 146. DOI: 10.1186/s12876-020-01289-w.
    [5]
    GUO Z, BLAKE GM, LI K, et al. Liver fat content measurement with quantitative CT validated against MRI proton density fat fraction: A prospective study of 400 healthy volunteers[J]. Radiology, 2020, 294(1): 89-97. DOI: 10.1148/radiol.2019190467.
    [6]
    GANDHA N, WIBAWA LP, JACOEB T, et al. Correlation between psoriasis severity and nonalcoholic fatty liver disease degree measured using controlled attenuation parameter[J]. Psoriasis (Auckl), 2020, 10: 39-44. DOI: 10.2147/PTT.S272286.
    [7]
    MA LX, ZHANG YH, SU BL. Evaluation of liver steatosis and fibrosis in patients of type 2 diabetes mellitus and correlation between liver steatosis and fibrosis by FibroTouch technique[J]. J Chin Clin Med Imaging, 2018, 29(9): 636-639. DOI: 10.12117/jccmi.2018.09.008.

    马丽雪, 张宇虹, 苏本利. 应用FibroTouch技术评价2型糖尿病患者肝脏脂肪变和纤维化程度及二者相关性[J]. 中国临床医学影像杂志, 2018, 29(9): 636-639. DOI: 10.12117/jccmi.2018.09.008.
    [8]
    VITEL A, SPOREA I, MARE R, et al. Association between subclinical left ventricular myocardial systolic dysfunction detected by strain and strain-rate imaging and liver steatosis and fibrosis detected by elastography and controlled attenuation parameter in patients with metabolic syndrome[J]. Diabetes Metab Syndr Obes, 2020, 13: 3749-3759. DOI: 10.2147/DMSO.S268916.
    [9]
    GU Q, CEN L, LAI J, et al. A meta-analysis on the diagnostic performance of magnetic resonance imaging and transient elastography in nonalcoholic fatty liver disease[J]. Eur J Clin Invest, 2021, 51(2): e13446. DOI: 10.1111/eci.13446.
    [10]
    OEDA S, TANAKA K, OSHIMA A, et al. Diagnostic accuracy of fibroscan and factors affecting measurements[J]. Diagnostics (Basel), 2020, 10(11): 940. DOI: 10.3390/diagnostics10110940.
    [11]
    YANG YM, LIU YP, ZHOU DJ, et al. Values of 3.0T MRI PDFF and IP-OP in quantificative evaluation on fatty liver[J]. J Jilin Univ(Med Edit), 2020, 46(4): 875-880. DOI: 10.13481/j.1671-587x.20200434.

    杨逸铭, 刘玉品, 周懂晶, 等. 3.0T MRI PDFF和IP-OP对脂肪肝定量评估的价值[J]. 吉林大学学报(医学版), 2020, 46(4): 875-880. DOI: 10.13481/j.1671-587x.20200434.
    [12]
    ZHOU DJ, HUANG LX, LIU YP, et al. Value of fatty liver disease by 3.0 T magnetic resonance IDEAL-IQ sequence: A quantitative assessment[J]. Chin J Biomed Eng, 2017, 23(1): 55-58. DOI: 10.3760/cma.j.issn.1674-1927.2017.01.013.

    周懂晶, 黄丽霞, 刘玉品, 等. 3.0 T磁共振IDEAL-IQ技术定量评估脂肪肝的价值[J]. 中华生物医学工程杂志, 2017, 23(1): 55-58. DOI: 10.3760/cma.j.issn.1674-1927.2017.01.013.
    [13]
    YE J, WU Y, LI F, et al. Effect of orlistat on liver fat content in patients with nonalcoholic fatty liver disease with obesity: Assessment using magnetic resonance imaging-derived proton density fat fraction[J]. Therap Adv Gastroenterol, 2019, 12: 1756284819879047. DOI: 10.1177/1756284819879047.
    [14]
    ZHAO S, LIU MW, LIU SF, et al. IDEAL-IQ and CT quantitative analysis for accurate quantitative fat content in nonalcoholic fatty liver disease[J]. J Med Imaging, 2019, 29(12): 2162-2166. DOI: 1006-9011(2019) 12-2162-04.

    赵森, 刘梦雯, 刘双锋, 等. 磁共振IDEAL-IQ技术和CT定量分析在非酒精性脂肪肝病的临床应用[J]. 医学影像学杂志, 2019, 29(12): 2162-2166. DOI: 1006-9011(2019) 12-2162-04.
    [15]
    GU Q, CEN L, LAI J, et al. A meta-analysis on the diagnostic performance of magnetic resonance imaging and transient elastography in nonalcoholic fatty liver disease[J]. Eur J Clin Invest, 2021, 51(2): e13446. DOI: 10.1111/eci.13446.
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