Combining non-invasive methods for assessment of liver fibrosis

Potential role of noninvasive biomarkers during liver fibrosis

Various types of liver disease exist, such as hepatitis and alcoholic liver disease. These liver diseases can result in scarring of liver tissue, cirrhosis, and finally liver failure. During liver fibrosis, there is an excess and disorganized accumulation of extracellular matrix (ECM) components which cause the loss of normal liver cell functions. For patients with chronic liver disease, fibrosis prediction is an essential part of the assessment and management. To diagnose liver fibrosis, several invasive and noninvasive markers have been proposed. However, the adoption of invasive markers remains limited due to their inherent characteristics and poor patient acceptance rate. In contrast, noninvasive markers can expedite the clinical decision through informed judgment about disease stage and prognosis. These noninvasive markers are classified into two types: Imaging techniques and serum biomarkers. However, the diagnostic values of biomarkers associated with liver fibrosis have also been analyzed. For example, the serum levels of ECM proteins can react to either matrix accumulation or degradation. During virus-host interactions, several regulatory steps take place to control gene expression, such as the change in cellular microRNA expression profiles. MicroRNAs are a class of non-coding RNAs (18-20 long nucleotides) that function by post-transcriptional regulation of gene expression. Although various noninvasive markers have been suggested in recent years, certain limitations have restricted their clinical applications. Understanding the potential of non-invasive biomarkers as a therapeutic option to treat liver fibrosis is still in progress.

Diagnostic performance of T lymphocyte subpopulations in assessment of liver fibrosis stages in hepatitis C virus patients: simple noninvasive score

BACKGROUND/AIMS

Evaluation of liver fibrosis in patients infected with hepatitis C virus is highly useful for the diagnosis of the disease as well as therapeutic decision. Our aim was to develop and validate a simple noninvasive score for liver fibrosis staging in chronic hepatitis C (CHC) patients and compare its performance against three published simple noninvasive indexes.

MATERIALS AND METHODS

CHC patients were divided into two groups: an estimated group (n=70) and a validated group (n=52). Liver fibrosis was tested in biopsies using the Metavair score system. CD4 and CD8 count/percentage were assayed by fluorescence-activated cell sorting analysis.

RESULTS

The multivariate discriminant analysis selects a function on the basis of absolute values of five biochemical markers: immune fibrosis index (IFI); score=3.07+3.06×CD4/CD8+0.02×α-fetoprotein (U/l)-0.07×alanine aminotransferase ratio-0.005×platelet count (10/l)-1.4×albumin (g/dl). The IFI score produced areas under curve of 0.949, 0.947, and 0.806 for differentiation of all patient categories [significant fibrosis (F2-F4), advanced fibrosis (F3-F4), and cirrhosis (F4)].

CONCLUSION

The IFI score, a novel noninvasive test, can be used easily for the prediction of liver fibrosis stage in CHC patients. Our score was more efficient than aspartate aminotransferase to platelet ratio index, fibrosis index, and fibroQ and more suitable for use in Egyptian hepatitis C virus patients.

Diagnostic potential of serum direct markers and non-invasive fibrosis models in patients with chronic hepatitis B

AIM

  Liver biopsy is recommended in the majority of patients with chronic viral hepatitis for fibrosis evaluation. Because of the disadvantages of liver biopsy, many studies related to non-invasive biomarkers and scores have been performed. In this study, we aimed to assess the diagnostic value of serum direct markers and non-invasive fibrosis models to predict liver fibrosis in the treatment-naive chronic hepatitis B (CHB) patients and to compare their diagnostic performance.

METHODS

  This study included 58 patients with a diagnosis of CHB virus infection and 30 healthy controls. Hyaluronic acid, tissue inhibitor of matrix metalloproteinase 1 and amino-terminal propeptide of type III procollagen were measured by enzyme-linked immunosorbent assay; and the Original European Liver Fibrosis panel, the Enhanced Liver Fibrosis (ELF) panel, PP score, aspartate aminotransferase to platelet ratio index (APRI) and FIB-4 indexes were calculated using the formulas taken from previous publications. Fibrosis stage was determined using Ishak's scoring system.

RESULTS

  The fibrosis stages identified upon liver biopsy was F0 in 12 patients (20.7%), F1-2 in 36 (62.1%) and F3-5 in 10 (17.2%). The diagnostic value of all the non-invasive indices was low to detect mild fibrosis. We demonstrated that the diagnostic accuracy of HA is the best for predicting fibrosis of F3 or more (area under the receiver-operator curve, 0.902). In our study, the results from a combination of tests showed that ELF and APRI had the highest diagnostic value sensitivity of 90%, specificity of 100%, positive predictive value of 100% and negative predictive value of 96.4% for detection of fibrosis of F3 or more.

CONCLUSION

  In CHB patients, combination of ELF and APRI has a better diagnostic value in predicting fibrosis of F3 or more.

Diagnostic value of fibronectin discriminant score for predicting liver fibrosis stages in chronic hepatitis C virus patients

BACKGROUND

Several noninvasive predictive models were developed to substitute liver biopsy for fibrosis assessment.

AIM

To evaluate the diagnostic value of fibronectin which reflect extracellular matrix metabolism and standard liver functions tests which reflect alterations in hepatic functions.

MATERIAL AND METHODS

Chronic hepatitis C (CHC) patients (n = 145) were evaluated using ROC curves and stepwise multivariate discriminant analysis (MDA) and was validated in 180 additional patients. Liver biochemical profile including transaminases, bilirubin, alkaline phosphatase, albumin, complete blood count were estimated. Fibronectin concentration was determined using monoclonal antibody and ELISA.

RESULTS

A novel index named fibronectin discriminant score (FDS) based on fibronectin, APRI and albumin was developed. FDS produced areas under ROC curves (AUC) of 0.91 for significant fibrosis and 0.81 for advanced fibrosis. The FDS correctly classified 79% of the significant liver fibrosis patients (F2-F4) with 87% sensitivity and 75% specificity. The relative risk [odds ratio (OR)] of having significant liver fibrosis using the cut-off values determined by ROC curve analyses were 6.1 for fibronectin, 4.9 for APRI, and 4.2 for albumin. FDS predicted liver fibrosis with an OR of 16.8 for significant fibrosis and 8.6 for advanced fibrosis. The FDS had similar AUC and OR in the validation group to the estimation group without statistically significant difference.

CONCLUSION

FDS predicted liver fibrosis with high degree of accuracy, potentially decreasing the number of liver biopsy required.

Classification and staging of chronic liver disease from multimodal data

Chronic liver disease (CLD) is most of the time an asymptomatic, progressive, and ultimately potentially fatal disease. In this study, an automatic hierarchical procedure to stage CLD using ultrasound images, laboratory tests, and clinical records are described. The first stage of the proposed method, called clinical based classifier (CBC), discriminates healthy from pathologic conditions. When nonhealthy conditions are detected, the method refines the results in three exclusive pathologies in a hierarchical basis: 1) chronic hepatitis; 2) compensated cirrhosis; and 3) decompensated cirrhosis. The features used as well as the classifiers (Bayes, Parzen, support vector machine, and k -nearest neighbor) are optimally selected for each stage. A large multimodal feature database was specifically built for this study containing 30 chronic hepatitis cases, 34 compensated cirrhosis cases, and 36 decompensated cirrhosis cases, all validated after histopathologic analysis by liver biopsy. The CBC classification scheme outperformed the nonhierachical one against all scheme, achieving an overall accuracy of 98.67% for the normal detector, 87.45% for the chronic hepatitis detector, and 95.71% for the cirrhosis detector.

Ultrasound-based hepatic elastography: origins, limitations, and applications

A reliable, noninvasive marker to help clinicians evaluate hepatic fibrosis is urgently needed. The liver biopsy, an imperfect gold standard, has recognized limitations including sampling error and interobserver variability. Hepatic elastography (HE) is a novel sonographic method for assessing liver stiffness and has excellent accuracy in making the diagnosis of minimal fibrosis and cirrhosis. Several conditions intrinsic to the pathology of the liver compromise the positive predictive value of HE for fibrosis alone including acute hepatitis, obstructive cholestasis, and passive congestion. Technical considerations that hinder the performance of elastography include an advanced body mass index, the presence of ascites and narrow intercostal spaces. Despite these limitations, elastography has a role in staging fibrosis, prognosis of disease outcome, surveillance, and treatment decisions. HE is now being used in lieu of liver biopsy to investigate the natural history of chronic liver diseases. Additional studies are required to better define the appropriate role of HE in clinical practice.

Circulating fibronectin isoforms predict the degree of fibrosis in chronic hepatitis C

OBJECTIVE

Hepatic stellate cells only produce fibronectin isoforms in disease states. The isoform-defining domains can be detected in the blood circulation. This study examines whether circulating levels of fibronectin isoforms show a relationship with liver fibrosis on histology in patients with chronic hepatitis C.

MATERIAL AND METHODS

In a prospective study, 50 patients with chronic hepatitis C who underwent a liver biopsy were compared to 50 matched controls and 35 patients with other liver conditions.

RESULTS

Circulating levels of the fibronectin isoforms were significantly higher in patients with chronic hepatitis C compared to healthy controls [oncofetal fibronectin (oFN) 2.45 +/- 0.17 versus 1.76 +/- 0.16 mg/l, P < 0.005; extra domain-A (EDA) 1.05 +/- 0.06 versus 0.86 +/- 0.06 mg/l, P < 0.05; and extra domain-B (EDB) 14.55 +/- 0.74 versus 9.31 +/- 0.58 mg/l, P < 0.001], even though total fibronectin was lower (198.9 +/- 3.5 versus 343.6 +/- 14.5 mg/l, P < 0.001). A correlation with the fibrosis score was found for both oFN (r = 0.46, P < 0.005) and EDA (r = 0.51, P < 0.001). The combination of an elevation in both markers (oFN and EDA) in the upper quartile was associated with a specificity of > 99% for predicting significant fibrosis (stages 2-4) and 95% for predicting advanced fibrosis (stages 3-4). A combination of decreased values in the lowest tertile for both markers had a specificity of 94% for excluding significant fibrosis. Based on these findings, 30% of the patients scheduled for a liver biopsy could be correctly classified as having or not having significant fibrosis. The remainder would have to proceed with a biopsy.

CONCLUSION

Circulating fibronectin isoforms produced by activated stellate cells represent a viable marker for the presence of significant fibrosis or a lack thereof.