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©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
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 fibrosis | Fibrous portal expansion | Portal/periportal fibrosis | Portal fibrosis with rare septa | Abundant bridging fibrosis | Marked bridging with occasional nodules | Cirrhosis | |
Knodell et al[16] | F0 | F1 | F1 | F3 | F3 | F4 | F4 |
Scheuer et al[17] | F0 | F1 | F2 | F2 | F3 | F3 | F4 |
IASL[18] | F0 | F1 | F2 | F2 | F3 | F3 | F4 |
Ishak et al[19] | F0 | F1 | F2 | F3 | F4 | F5 | F6 |
METAVIR[20] | F0 | F1 | F1 | F2 | F3 | F4 | F4 |
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
Test | Parameters | Etiology | Sensitivity | Specificity |
Age-platelet index (AP)[55] | Age, platelet count | HCV | 52% | 93% |
APRI[56] | AST/platelet count | HCV | 57% | 93% |
ASPRI[57] | Age, spleen diameter, platelet count | HBV | 75% | 90% |
AST/ALT ratio[58] | Aspartate aminotransferase, alanine aminotransferase | HBV | 51% | 71% |
BARD score[59] | BMI, AST/ALT ratio, diabetes | NAFLD | 62% | 66% |
Bonacini-index (Cirrhosis discriminant score - CDS)[60] | ALT/AST ratio, INR, platelet count | HCV | 46% | 98% |
ELF and simplified ELF index[61] | Age, Hyaluronic acid, N-terminal propeptide of type II collagen, and TIMP-1 levels | Mixed | 90% | 69% |
FIB-4[62] | Platelet count, AST, ALT, age | HIV/HCV | 65% | 97% |
Fibro-α score[63] | Platelet count, AST, ALT, α-fetoprotein level | HCV | 90% | 57% |
Fibroindex[64] | Platelet count, AST, γ-globulin | HCV | 35% | 97% |
Fibrometer test[65] | Platelet count, prothrombin index, AST, α2-macro-globulin, hyaluronan,urea, age | VirusAlcohol | 80%91% | 84%92% |
Fibrometer NAFLD[66] | Glucose, AST, ALT, ferritin, platelet count, body weight, age | NAFLD | 79% | 96% |
Fibronectin discriminant score[67] | Platelet count, AST, Albumin and fibronectin levels | HCV | 87% | 75% |
FibroQ[68] | Age, platelet count, AST, ALT, Prothrombin index | HBV/HCV | 79% | 71% |
Fibrosis-cirrhosis index[69] | Platelet count, Alkaline phosphatase, bilirubin, albumin levels | HCV | 86% | 80% |
Fibrosis index[70] | Platelet count, Albumin level | HCV | 67% | 97% |
Fibrosis probability index(Sud index)[71] | Age, AST, Total cholesterol level, insulin resistance and alcohol intake | HCV | 73% | 74% |
Fibrosis Routine Test[72] | Age, platelet count, AST, α-fetoprotein and albumin levels | HCV | 83% | 73% |
FibroSpect II[73] | hyaluronan, TIMP-1,α2-macroglobulin | HCV | 76% | 73% |
Fibrotest[74] | Haptoglobin, α2-macroglobulin, apolipoprotein A1, γGT, bilirubin, gender | HCV | 75% | 85% |
Forns-index[75] | Age, platelet count, γGT, cholesterol | HCV | 30% | 95% |
Globulin-albumin ratio[76] | Globulin and albumin levels | HCV | 43% | 98% |
GUCI[77] | Platelet count, AST, Prothrombin index | HCV | 80% | 78% |
HALT-C model[78] | Platelet count, TIMP-1 and hyaluronic acid levels | HCV | 71% | 80% |
Hepascore[79] | Bilirubin, γGT, hyaluronan, α2-macroglobulin, age, gender | HCV | 84% | 71% |
King’s score[80] | Age, platelet count, AST, INR | HCV | 86% | 80% |
Lok index[81] | Platelet count, AST, ALT, INR | HCV | 68% | 72% |
MP3 score[82] | MMP-1 and PIIIP levels | HCV | 60% | 92% |
NAFLD fibrosis score[83] | Age, hyperglycemia, BMI, platelet count, albumin, AST/ALT ratio (dual cut-offs) | NAFLD | 77% | 96% |
Pohl index[84] | Platelet count, AST, ALT | HCV | 41% | 99% |
Sabadell NIHCED index[85] | Age, platelet count, AST, ALT, Prothrombin time, right hepatic lobe atrophy, splenomegaly, and caudate lobe hypertrophy | HCV | 80% | 96% |
Significant fibrosis index[86] | Haptoglobin, α2-macroglobulin, TIMP-1, MMP-2, and GGT levels | HBV/HCV | 71% | 80% |
VITRO score[87] | vWF-Ag, platelet count | HCV | 83% | 79% |
Zeng index[88] | Age, α2-Macroglobulin, GGT, and hyaluronic acid levels | HBV | 40% | 90% |
Table 3 Diagnostic reliability acoustic radiation force impulse for liver fibrosis and optimal cut-offs
Ref. | Patients analyzed by ARFI (n) | Etiology | F≥2 | F≥3 | F = 4 | |||||||||
Cut-off m/s | Se% | Sp% | AUROC | Cut-off m/s | Se% | Sp% | AUROC | Cut-off m/s | Se% | Sp% | AUROC | |||
Fierbinteanu-Braticevici et al[159] | 74 | HCV | 1.22 | 100 | 71 | 0.91 | 1.54 | 97 | 100 | 0.99 | 1.94 | 100 | 98 | 0.99 |
Friedrich-Rust et al[160] | 81 | HCV/HBV | 1.37 | 69 | 92 | 0.82 | 1.45 | 84 | 86 | 0.91 | 1.75 | 82 | 91 | 0.91 |
Lupsor et al[161] | 102 | HCV | 1.34 | 68 | 93 | 0.86 | 1.61 | 79 | 95 | 0.91 | 2.00 | 80 | 95 | 0.94 |
Yoneda et al[162] | 54 | NASH | 1.77 | 100 | 91 | 0.97 | 1.91 | 100 | 96 | 0.98 | ||||
Piscaglia et al[156] | 70 | Mixed | 1.63 | 59 | 100 | 0.79 | 1.67 | 75 | 97 | 0.91 | 1.87 | 81 | 91 | 0.91 |
Rizzo et al[163] | 139 | HCV | 1.31 | 81 | 70 | 0.86 | 1.71 | 91 | 86 | 0.94 | 2.11 | 83 | 86 | 0.89 |
Sporea et al[164] | 199 | Mixed | 1.27 | 89 | 68 | 0.89 | 1.56 | 80 | 89 | 0.88 | 1.71 | 93 | 87 | 0.93 |
Sporea et al[154] | 93 | Mixed | 1.41 | 71 | 78 | 0.77 | 1.69 | 73 | 88 | 0.79 | 1.81 | 100 | 88 | 0.92 |
Sporea et al[165] | 911 | HCV | 1.33 | 69 | 80 | 0.80 | 1.43 | 75 | 81 | 0.82 | 1.55 | 84 | 76 | 0.84 |
Table 4 Results of two meta-analyses on the reliability of acoustic radiation force impulse and optimal cut-offs
Table 5 Diagnostic reliability between acoustic radiation force impulse and transient elastography and optimal cut-offs
Ref. | Etiology | Transient elastography | ARFI | ||||||||||
F≥2 | F≥3 | F = 4 | F≥2 | F≥3 | F = 4 | ||||||||
AUROC | Cu-off kPa | AUROC | Cut-off kPa | AUROC | Cut-off kPa | AUROC | Cut-off m/s | AUROC | Cut-offm/s | AUROC | Cut-offm/s | ||
Friedrich-Rust et al[160] | HCV | 0.84 | 0.91 | 0.910 | 0.82 | 1.37 | 0.91 | 1.45 | 0.91 | 1.75 | |||
Lupsor et al[161] | HCV | 0.96 | 8.1 | 0.96 | 0.6 | 0.97 | 13.1 | 0.86 | 1.34 | 0.90 | 1.61 | 0.94 | 2.00 |
Yoneda et al[162] | NASH | - | - | 0.99 | 9.9 | 0.998 | 16.0 | 0.97 | 1.77 | 0.97 | 1.99 | ||
Rizzo et al[163] | HCV | 0.78 | 6.5 | 0.80 | 8.8 | 0.8 | 11.0 | 0.86 | 1.3 | 0.94 | 1.70 | 0.89 | 2.00 |
Sporea et al[164] | Mixed | 0.91 | 0.99 | 0.77 | 1.41 | 0.79 | 1.69 | 0.92 | 1.81 | ||||
Sporea et al[165] | HCV | 0.82 | 6.7 | 0.87 | 9.6 | 0.93 | 11.9 | 0.81 | 1.36 | 0.86 | 1.47 | 0.885 | 1.69 |
Bota et al[168] | Mixed | 0.871 | - | - | - | 0.931 | - | 0.851 | 1.31 | - | - | 0.931 | 1.80 |
- Citation: Soresi M, Giannitrapani L, Cervello M, Licata A, Montalto G. Non invasive tools for the diagnosis of liver cirrhosis. World J Gastroenterol 2014; 20(48): 18131-18150
- URL: https://www.wjgnet.com/1007-9327/full/v20/i48/18131.htm
- DOI: https://dx.doi.org/10.3748/wjg.v20.i48.18131