Review
Copyright ©2014 Baishideng Publishing Group Inc.
World J Gastroenterol. Dec 28, 2014; 20(48): 18131-18150
Published online Dec 28, 2014. doi: 10.3748/wjg.v20.i48.18131
Table 1 Histology activity index for staging liver fibrosis according to various scores
No fibrosisFibrous portal expansionPortal/periportal fibrosisPortal fibrosis with rare septaAbundant bridging fibrosisMarked bridging with occasional nodulesCirrhosis
Knodell et al[16]F0F1F1F3F3F4F4
Scheuer et al[17]F0F1F2F2F3F3F4
IASL[18]F0F1F2F2F3F3F4
Ishak et al[19]F0F1F2F3F4F5F6
METAVIR[20]F0F1F1F2F3F4F4
Table 2 Principal scoring systems taking into account the parameters used in calculating the scores, etiology of liver disease and sensitivity and specificity values of the tests
TestParametersEtiologySensitivitySpecificity
Age-platelet index (AP)[55]Age, platelet countHCV52%93%
APRI[56]AST/platelet countHCV57%93%
ASPRI[57]Age, spleen diameter, platelet countHBV75%90%
AST/ALT ratio[58]Aspartate aminotransferase, alanine aminotransferaseHBV51%71%
BARD score[59]BMI, AST/ALT ratio, diabetesNAFLD62%66%
Bonacini-index (Cirrhosis discriminant score - CDS)[60]ALT/AST ratio, INR, platelet countHCV46%98%
ELF and simplified ELF index[61]Age, Hyaluronic acid, N-terminal propeptide of type II collagen, and TIMP-1 levelsMixed90%69%
FIB-4[62]Platelet count, AST, ALT, ageHIV/HCV65%97%
Fibro-α score[63]Platelet count, AST, ALT, α-fetoprotein levelHCV90%57%
Fibroindex[64]Platelet count, AST, γ-globulinHCV35%97%
Fibrometer test[65]Platelet count, prothrombin index, AST, α2-macro-globulin, hyaluronan,urea, ageVirusAlcohol80%91%84%92%
Fibrometer NAFLD[66]Glucose, AST, ALT, ferritin, platelet count, body weight, ageNAFLD79%96%
Fibronectin discriminant score[67]Platelet count, AST, Albumin and fibronectin levelsHCV87%75%
FibroQ[68]Age, platelet count, AST, ALT, Prothrombin indexHBV/HCV79%71%
Fibrosis-cirrhosis index[69]Platelet count, Alkaline phosphatase, bilirubin, albumin levelsHCV86%80%
Fibrosis index[70]Platelet count, Albumin levelHCV67%97%
Fibrosis probability index(Sud index)[71]Age, AST, Total cholesterol level, insulin resistance and alcohol intakeHCV73%74%
Fibrosis Routine Test[72]Age, platelet count, AST, α-fetoprotein and albumin levelsHCV83%73%
FibroSpect II[73]hyaluronan, TIMP-1,α2-macroglobulinHCV76%73%
Fibrotest[74]Haptoglobin, α2-macroglobulin, apolipoprotein A1, γGT, bilirubin, genderHCV75%85%
Forns-index[75]Age, platelet count, γGT, cholesterolHCV30%95%
Globulin-albumin ratio[76]Globulin and albumin levelsHCV43%98%
GUCI[77]Platelet count, AST, Prothrombin indexHCV80%78%
HALT-C model[78]Platelet count, TIMP-1 and hyaluronic acid levelsHCV71%80%
Hepascore[79]Bilirubin, γGT, hyaluronan, α2-macroglobulin, age, genderHCV84%71%
King’s score[80]Age, platelet count, AST, INRHCV86%80%
Lok index[81]Platelet count, AST, ALT, INRHCV68%72%
MP3 score[82]MMP-1 and PIIIP levelsHCV60%92%
NAFLD fibrosis score[83]Age, hyperglycemia, BMI, platelet count, albumin, AST/ALT ratio (dual cut-offs)NAFLD77%96%
Pohl index[84]Platelet count, AST, ALTHCV41%99%
Sabadell NIHCED index[85]Age, platelet count, AST, ALT, Prothrombin time, right hepatic lobe atrophy, splenomegaly, and caudate lobe hypertrophyHCV80%96%
Significant fibrosis index[86]Haptoglobin, α2-macroglobulin, TIMP-1, MMP-2, and GGT levelsHBV/HCV71%80%
VITRO score[87]vWF-Ag, platelet countHCV83%79%
Zeng index[88]Age, α2-Macroglobulin, GGT, and hyaluronic acid levelsHBV40%90%
Table 3 Diagnostic reliability acoustic radiation force impulse for liver fibrosis and optimal cut-offs
Ref.Patients analyzed by ARFI (n)EtiologyF2
F3
F = 4
Cut-off m/sSe%Sp%AUROCCut-off m/sSe%Sp%AUROCCut-off m/sSe%Sp%AUROC
Fierbinteanu-Braticevici et al[159]74HCV1.22100710.911.54971000.991.94100980.99
Friedrich-Rust et al[160]81HCV/HBV1.3769920.821.4584860.911.7582910.91
Lupsor et al[161]102HCV1.3468930.861.6179950.912.0080950.94
Yoneda et al[162]54NASH1.77100910.971.91100960.98
Piscaglia et al[156]70Mixed1.63591000.791.6775970.911.8781910.91
Rizzo et al[163]139HCV1.3181700.861.7191860.942.1183860.89
Sporea et al[164]199Mixed1.2789680.891.5680890.881.7193870.93
Sporea et al[154]93Mixed1.4171780.771.6973880.791.81100880.92
Sporea et al[165]911HCV1.3369800.801.4375810.821.5584760.84
Table 4 Results of two meta-analyses on the reliability of acoustic radiation force impulse and optimal cut-offs
Ref.Studies (n)EtiologyF2
F3
F = 4
Cut-off m/sSe%Sp%ROC curveCut-off m/sSe%Sp%ROC curveCut-off m/sSe%Sp%ROCcurve
Friedrich-Rust et al[166]8Mixed1.3479850.8721.5586860.9121.8092860.932
Nierhoff et al[167]36Mixed1.35--0.8411.61--0.8911.87--0.911
Table 5 Diagnostic reliability between acoustic radiation force impulse and transient elastography and optimal cut-offs
Ref.EtiologyTransient elastography
ARFI
F2
F3
F = 4
F2
F3
F = 4
AUROCCu-off kPaAUROCCut-off kPaAUROCCut-off kPaAUROCCut-off m/sAUROCCut-offm/sAUROCCut-offm/s
Friedrich-Rust et al[160]HCV0.840.910.9100.821.370.911.450.911.75
Lupsor et al[161]HCV0.968.10.960.60.9713.10.861.340.901.610.942.00
Yoneda et al[162]NASH--0.999.90.99816.00.971.770.971.99
Rizzo et al[163]HCV0.786.50.808.80.811.00.861.30.941.700.892.00
Sporea et al[164]Mixed0.910.990.771.410.791.690.921.81
Sporea et al[165]HCV0.826.70.879.60.9311.90.811.360.861.470.8851.69
Bota et al[168]Mixed0.871---0.931-0.8511.31--0.9311.80