Literature DB >> 28527146

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

Tianyi Wang1, Cuiping Shao1, Guosheng Zhang1, Youqing Xu2.   

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.

Entities:  

Keywords:  Hepatitis B; Liver biopsy; Liver fibrosis; Real-time elastography

Mesh:

Substances:

Year:  2017        PMID: 28527146     DOI: 10.1007/s00261-017-1186-4

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  4 in total

1.  Strain elastography for noninvasive assessment of liver fibrosis: A prospective study with histological comparison.

Authors:  Cheng Fang; Sanjiv Virdee; Joseph Jacob; Olivia Rufai; Kosh Agarwal; Alberto Quaglia; Daniel J Quinlan; Paul S Sidhu
Journal:  Ultrasound       Date:  2019-07-23

2.  Magnetic resonance elastography can predict development of hepatocellular carcinoma with longitudinally acquired two-point data.

Authors:  Shintaro Ichikawa; Utaroh Motosugi; Nobuyuki Enomoto; Hiroshi Onishi
Journal:  Eur Radiol       Date:  2018-07-24       Impact factor: 5.315

3.  Quantitative ultrasound elastography and serum ferritin level in dogs with liver tumors.

Authors:  Somkiat Huaijantug; Paranee Yatmark; Phummarin Phophug; Mookrawee Worapakdee; Alan Phutrakul; Pruksa Julapanthong; Krittin Chuaychoo
Journal:  J Adv Vet Anim Res       Date:  2020-09-13

Review 4.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  4 in total

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