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Erschienen in: Abdominal Radiology 11/2017

19.05.2017

Real-time elastography (RTE): a valuable sonography-based non-invasive method for the assessment of liver fibrosis in chronic hepatitis B

verfasst von: Tianyi Wang, Cuiping Shao, Guosheng Zhang, Youqing Xu

Erschienen in: Abdominal Radiology | Ausgabe 11/2017

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Abstract

Purpose

To investigate the diagnostic usefulness of real-time elastography (RTE) for liver fibrosis in chronic hepatitis B (CHB).

Methods

89 CHB patients were enrolled in the cross-sectional study. Ultrasound-guided percutaneous liver biopsies, RTE, and blood testing were performed in all patients. Areas under receiver operating characteristic curves (AUROC) were used to examine the diagnostic performance of liver fibrosis index (LFI) for the assessment of liver fibrosis.

Results

LFI differed significantly across histologic fibrosis stages (P < 0.05), except the comparison between S0 and S1 (P = 0.298). There was a strong positive correlation between LFI and histologic liver fibrosis stage (Spearman r = 0.831, P < 0.001). The cutoff LFI value of >2.74 indicated a sensitivity of 0.766 and a specificity of 0.872 for predicting significant liver fibrosis (S ≥ 2), and the cutoff LFI value of >3.61 indicated a sensitivity of 0.833 and a specificity of 0.878 for predicting early liver cirrhosis (S = 4). LFI showed higher AUROC for discriminating significant liver fibrosis (0.873 vs. 0.614) and early liver cirrhosis (0.923 vs. 0.769) than aspartate aminotransferase-to-platelet ratio index (APRI).

Conclusions

RTE is a valuable sonography-based non-invasive method for assessment of liver fibrosis and has better discrimination power for significant liver fibrosis and early liver cirrhosis than APRI in CHB.
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Metadaten
Titel
Real-time elastography (RTE): a valuable sonography-based non-invasive method for the assessment of liver fibrosis in chronic hepatitis B
verfasst von
Tianyi Wang
Cuiping Shao
Guosheng Zhang
Youqing Xu
Publikationsdatum
19.05.2017
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 11/2017
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-017-1186-4

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