Copyright
©The Author(s) 2018.
World J Hepatol. Jan 27, 2018; 10(1): 105-115
Published online Jan 27, 2018. doi: 10.4254/wjh.v10.i1.105
Published online Jan 27, 2018. doi: 10.4254/wjh.v10.i1.105
Figure 2 Comparison of performance of the linear discriminant analysis metabonomic models, aspartate aminotransferase to platelet ratio index and fibrosis index based on four factors, in 69 chronic hepatitis C patients from Pernambuco/Brazil.
A and C: Performance of metabonomic models (MM) and APRI to predict SF and C; B: Performance of MM and FIB-4 to predict advanced fibrosis. APRI: Aspartate aminotransferase to platelet ratio index; FIB-4: Fibrosis index based on four factors.
- Citation: Batista AD, Barros CJP, Costa TBBC, Godoy MMG, Silva RD, Santos JC, de Melo Lira MM, Jucá NT, Lopes EPA, Silva RO. Proton nuclear magnetic resonance-based metabonomic models for non-invasive diagnosis of liver fibrosis in chronic hepatitis C: Optimizing the classification of intermediate fibrosis. World J Hepatol 2018; 10(1): 105-115
- URL: https://www.wjgnet.com/1948-5182/full/v10/i1/105.htm
- DOI: https://dx.doi.org/10.4254/wjh.v10.i1.105