Real-time tissue elastography-based noninvasive prediction model for liver fibrosis in patients with chronic hepatitis B: a prospective study
10.3877/cma.j.issn.1672-6448.2018.01.007
- VernacularTitle:超声实时组织弹性成像无创预测慢性乙型肝炎肝纤维化的前瞻性研究
- Author:
Shihao XU
1
;
Li YING
;
Qiao LI
;
Shuting LIN
;
Jia LI
;
Yuanping HU
Author Information
1. 325015,温州医科大学附属第一医院超声影像科
- Keywords:
Hepatitis B;
chronic;
Liver cirrhosis;
Elasticity imaging techniques
- From:
Chinese Journal of Medical Ultrasound (Electronic Edition)
2018;15(1):31-42
- CountryChina
- Language:Chinese
-
Abstract:
Objective To further improve the value of clinical application of a quantitative analysis method called LF-index (LFI) which based on real-time tissue elastography (RTE). Methods We prospectively enrolled 116 consecutive patients with chronic hepatitis B (CHB) and all patients underwent a liver biopsy and RTE between January 2015 and December 2015 at the First affiliated hospital of Wenzhou Medical University. Univariate and multivariate analyses were performed, and the prediction models for predicting significant fibrosis and cirrhosis were derived from independent predictors. Results (1) In multivariate analyses, spleno-portal index (SPI) (OR=13.956, P=0.002) and LFI (OR=6.283, P=0.023) were confirmed as independent predictors of significant fibrosis. In multivariate analyses of patients with and without cirrhosis, we found significant differences in the γ-Glutamyl transferase (GGT) (OR=1.012, P=0.049), SPI (OR=5.676, P=0.002) and LFI (OR=14.102, P=0.001). (2)A novel model called LFI-SPI score (LSPS) for prediction of significant fibrosis was developed (area under receiver operating characteristic curve [AUROC]=0.87), showing the superiority of diagnostic accuracy than LFI (AUROC=0.76, P=0.0109), aspartate aminotransferase to platelet ratio index (APRI) (AUROC=0.64, P=0.0031), fibrosis-4 index (FIB-4) (AUROC=0.67, P= 0.0044) and Fibroscan (AUROC=0.68, P=0.0021). (3) We also developed a LFI-SPI-GGT score (LSPGS) for predicting cirrhosis, with an AUROC of 0.93. The diagnostic accuracy of LSPGS was similar to that of Fibroscan (AUROC=0.85, P=0.134), and was superior to LFI (AUROC=0.81, P=0.0113), APRI (AUROC=0.67, P<0.0001), and FIB-4 (AUROC=0.72, P=0.0005). Conclusions We developed new formulas, LSPS and LSPGS for predicting significant fibrosis and cirrhosis in this prospective study. LSP score was mainly used for screening of significant liver fibrosis, and LSPG score was mainly used to exclude cirrhosis.
