Chapter 6 Laurent Castera Department of Hepatology, Hopital Beaujon, Assistance Publique-Hôpitaux de Paris, INSERM U773, Clichy, France Prognosis and management of chronic liver diseases greatly depend on the amount and progression of liver fibrosis. For many years, liver biopsy has been considered the “gold standard” for evaluation of hepatic fibrosis [1]. However, liver biopsy is an invasive procedure with rare but potentially life-threatening complications and prone to sampling errors. These limitations as well as the availability of powerful viral tools and new antiviral drugs have rapidly decreased the use of liver biopsy in viral hepatitis and led to the development of noninvasive methodologies for the assessment of fibrosis. Among the currently available noninvasive methods, there are two distinct approaches: (i) a “biologic” approach based on the dosage of serum biomarkers of fibrosis; (ii) a “physical” approach based on the measurement of liver stiffness using transient elastography (TE) [2]. Although complementary, these two approaches are based on differing rationale and conception: TE measures liver stiffness related to elasticity, which corresponds to a genuine and intrinsic physical property of liver parenchyma, whereas serum biomarkers are combinations of several not strictly liver-specific blood parameters optimized to mimic fibrosis stages as assessed by liver biopsy [3]. This chapter reviews the different methods that are currently available for the noninvasive evaluation of cirrhosis and also discusses their advantages and inconveniences for the management of patients with chronic liver disease. Many serum biomarkers have been evaluated for their ability to determine stage of liver fibrosis, mainly in patients with chronic hepatitis C virus infection (for review see [4,5]). Among the proposed markers, the so-called direct markers reflect the deposition or removal of extracellular matrix in the liver. These include glycoproteins such as serum hyaluronate, laminin, and YKL-40, collagens such as procollagen III N-peptide and type IV collagen, collagenases, and their inhibitors such as matrix metalloproteases and tissue inhibitory metalloprotease-1. So-called indirect markers include factors that can be measured in routine blood tests, such as the prothrombin index, platelet count, and ratio of aspartate aminotransferase to alanine aminotransferase (AST : ALT), which indicate alterations in hepatic function. Results from measurements of direct and indirect markers can be combined and used in diagnosis; the FibroTest® (BioPredictive, Paris, France) was the first algorithm that combined these data [6]. Several other scores [7–16] have been proposed – four are protected by patents and commercially available (Table 6.1). Nonproprietary methods use published models, based on routinely available laboratory tests. Table 6.1 Proposed serum biomarkers for noninvasive evaluation of cirrhosis in chronic liver disease. Diagnostic performances for cirrhosis of these different scores are summarized in Table 6.2. The most widely used and validated are the aspartate aminotransferase: platelet ratio index (APRI; a free nonpatented index) and the FibroTest® (a patented test that is not widely available). In a meta-analysis [17], which analyzed results from 6259 HCV patients from 33 studies, the mean area under the receiver operating characteristic curve (AUROC) values from the APRI in diagnosis of cirrhosis were 0.83. Table 6.2 Diagnostic performance of currently available serum biomarkers of fibrosis for cirrhosis (F4) in chronic liver disease. When compared and validated externally in patients with hepatitis C virus infection [18–22], the different patented scores have similar performances for the diagnosis of cirrhosis. In the largest study to date (n = 1307 patients with viral hepatitis) comparing prospectively the most popular patented scores (FibroTest®, FibroMeter®, HepaScore®) with the nonpatented score (APRI), the AUROCs ranged from from 0.77 to 0.86 with no significant difference between the scores [22]. Although nonpatented scores such as FIB-4 and APRI may have slightly lower performance, they are cost-free, easy to calculate, and available almost everywhere. Regarding nonalcoholic fatty liver disease (NAFLD), among the limited number of serum biomarkers available, the NAFLD fibrosis score has been the most studied thus far [14,23–26]. The practical advantages of analyzing serum biomarkers to measure fibrosis include their high applicability (>95%) and inter-laboratory reproducibility [27,28], and their potential widespread availability. However, none are liver specific – their results can be influenced by comorbid conditions and they require critical interpretation of results. For instance, FibroTest® and HepaScore® produce false positive results in patients with Gilbert’s syndrome or hemolysis, because these patients have hyperbilirubinemia [29]. Similarly, acute hepatitis can produce false positive results in the APRI, Forns index, FIB-4, or FibroMeter® tests, which all measure levels of aminotransferases. Liver fibrosis can be staged using TE (FibroScan®, Echosens, Paris, France) [30], which measures the velocity of a low-frequency (50 Hz) elastic shear wave propagating through the liver. This velocity is directly related to tissue stiffness, the elastic modulus (expressed as E = 3ρv2, where v is the shear velocity and ρ is the density of tissue, assumed to be constant). The stiffer the tissue, the faster the shear wave propagates. TE measures liver stiffness in a volume that approximates a cylinder that is 1 cm wide and 4 cm long, 25–65 mm below skin surface. The results are expressed in kilopascals (kPa), and range from 2.5 to 75 kPa; a normal value is around 5 kPa [31–33]. The two index studies suggesting the interest of TE in the assessment of liver fibrosis have been conducted in patients with chronic hepatitis C virus infection [34,35]. Many other groups have confirmed these results since [22,36–38], also in chronic liver diseases other than hepatitis C [39–42], including chronic hepatitis B [43–45], cholestatic liver diseases (primary biliary cirrhosis and primary sclerosing cholangitis) [46], alcoholic liver disease [47,48], and NAFLD [49–51]. As shown in Table 6.3, AUROCs range from 0.90 to 0.99 for the diagnosis of cirrhosis. Table 6.3 Diagnostic performance of transient elastography for cirrhosis (F4) in chronic liver disease. Several meta-analyses [52–55] have confirmed the high diagnostic performance of TE for cirrhosis, with mean AUROC values of 0.94 [54]. In a meta-analysis of 40 studies (32 papers and 8 abstracts), sensitivity and specificity values were 0.83 and 0.89 for patients with cirrhosis, respecively. However, only 9 studies (comprising 1364 patients) had acceptable standards for liver biopsy and TE, which limit the conclusions. It will therefore be important to perform meta-analyses of data from individual patients. TE thus appears to be a reliable method for the diagnosis of cirrhosis, better at excluding than at predicting cirrhosis. For instance, in a population of 1007 patients with different chronic liver diseases, a cutoff value of 14.6 kPa yielded positive and negative predictive values of 74% and 96%, respectively [41]. Interestingly, proposed cutoff values for cirrhosis ranged from 11 kPa in patients with hepatitis B virus infection to 22.7 kPa in patients with alcoholic liver disease. Some researchers have proposed that cutoff values be adapted based on causes of liver disease [41]. However, differences among cutoff values could result from differences in prevalence of cirrhosis among study populations (ranging from 8% to 25%). A cutoff value for one population might not be applicable to another, which has a different prevalence of disease. Most studies used single cutoff values for patients with cirrhosis or advanced fibrosis, but more information can be obtained when values are interpreted as a continuum. For example, when liver stiffness values range from 2.5 to 7 kPa, fibrosis is likely mild or absent, whereas when values are above 13 kPa, cirrhosis is likely [56]. Advantages to TE include a short procedure time (<5 minutes), immediate results, and the ability to perform the test at the bedside or in an outpatient clinic – it is not a difficult procedure to learn. However, the interpretation of TE results should be always in the hands of an expert clinician and should be made with information regarding patient demographics, disease etiology, and essential laboratory parameters as well as manufacturer’s recommendations (number of valid shots ≥10; success rate (the ratio of valid shots to the total number of shots) ≥60%; and interquartile range (IQR, reflecting the variability of measurements) less than 30% of the median liver stiffness measure (LSM) value (IQR/LSM ≤30%) [56].
Non-Invasive Diagnosis Tests
Introduction
Biologic Approach: Serum Biomarkers of Liver Fibrosis
Currently Available Serum Biomarkers
ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; GGT, gamma-glutamyl transpepsidase; INR, international normaized ratio; MMP, matrix metalloproteinase; TIMP, tissue inhibitor of metalloproteinase.
Diagnostic Performances of Serum Biomarkers
Scores
Year
Etiologies
Patients (n)
F4 (%)
Cutoffs
AUROC
Sensitivity (%)
Specificity (%)
+LR
−LR
FibroTest® [6]
2001
HCV
1197
14
>0.74
0.82
63
84
4.0
0.4
APRI [7]
2003
HCV
476
17
<1.0 ≥2.0
0.89
57–89
75–93
3.6–8.1
0.1–0.5
ELF® [8]
2004
HCV
1021
NA
NA
0.89
91
69
2.9
0.4
Lok Index [9]
2005
HCV
1141
38
<0.2 ≥0.5
0.81
40–98
53–99
2.1–40.0
0.04–0.6
Hepascore® [10]
2005
HCV
211
16
>0.84
0.89
71
89
6.5
0.3
GUCI [11]
2005
HCV
179
12
>1.0
0.85
80
78
3.6
0.3
FIB-4 [13]
2007
HCV
847
17*
<1.45 >3.25
0.85
38–74
81–98
3.9–19.0
0.3–0.6
NFS [14]
2007
NAFLD
733
27*
<−1.455 >0.676
0.82
43–77
97–97
10.0–13.3
0.6–0.7
BARD score [15]
2008
NAFLD
669
30*
≥2
0.81
—
—
—
—
HALT-C model [16]
2008
HCV
512
38
<0.2 >0.5
0.81
47–88
45–92
1.6–5.9
0.3–0.6
Fibrometers® [22]
2010
HCV HBV
1204
13.6
NA
0.86
44
95
8.8
0.6
*F3–F4 patients.
AUROC, area under ROC curve; HBV, chronic hepatitis B; HCV, chronic hepatitis C; +LR, positive likelihood ratio; –LR, negative likelihood ratio; NA not availableNAFLD, non fatty alcoholic liver disease.
Advantages and Limitations of Serum Biomarkers
Physical Approach: Measurement of Liver Stiffness
Transient Elastography
Principles and Reproducibility
Diagnostic Performances of Transient Elastography
Authors
Year
Etiologies
Patients (n)
F4 (%)
Cutoffs (kPa)
AUROC
Sensitivity (%)
Specificity (%)
+LR
−LR
Castera et al. [35]
2005
HCV
183
25
12.5
0.95
87
91
9.7
0.1
Ziol et al. [34]
2005
HCV
251
19
14.6
0.87
86
96
23.1
0.1
Corpechot et al. [46]
2006
PBC-PSC
95
16
17.3
0.96
93
95
18.6
0.07
Gomez-Dominguez et al. [40]
2006
Mixed
94
17
16.0
0.94
89
96
22.25
0.11
Ganne-Carrie et al. [41]
2006
Mixed
775
15
14.6
0.95
79
95
15.8
0.11
Foucher et al. [42]
2006
Mixed
354
13
17.6
0.96
77
97
25.66
0.23
Fraquelli et al. [39]
2007
Mixed
200
12
11.9
0.90
91
89
8.27
0.1
Coco et al. [43]
2007
HCV HBV
228
20
14.0
0.96
78
98
39.0
0.22
Lupsor et al. [37]
2008
HCV
324
21
11.9
0.94
87
91
9.7
0.1
Arena et al. [36]
2008
HCV
150
19
14.8
0.98
94
92
11.3
0.1
Yoneda et al. [49]
2008
NAFLD
97
9
17.0
0.99
100
97
33.33
0
Nguyen-Khac et al. [48]
2008
ALD
103
32
19.5
0.92
86
84
5.37
0.16
Nahon et al. [47]
2008
ALD
147
54
22.7
0.87
84
83
5.24
0.19
Marcellin et al. [45]
2009
HBV
173
8
11.0
0.93
93
87
7.0
0.08
Chan et al. [44]
2009
HBV
161
25
9.0
0.93
98
75
3.92
0.02
Wong et al. [51]
2010
NAFLD
246
10
10.3
0.95
92
88
7.5
0.1
Degos et al. [22]
2010
HCV, HBV, HCV-HIV
1307
14
12.9
0.90
72
89
6.8
0.3
Zarski et al. [71]
2012
HCV
382
14
12.9
0.93
77
90
7.7
0.25
ALD, alcoholic liver disease; AUROC, area under ROC curve; HBV, chronic hepatitis B; HCV, chronic hepatitis C; +LR positive likelihood ratio; −LR negative likelihood ratio; NAFLD, non-fatty alcoholic liver disease; PBC-PSC, primary biliary cirrhosis primary sclerosing cholangitis.
Advantages and Limitations of Transient Elastography