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AIM To evaluate the role of real time elastography (ARFI and Hitachi elastography) in noninvasive diagnosis of liver fibrosis in patients with chronic hepatitis
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INTRODUCTION
Establishing liver fibrosis grade in patients with chronic viral hepatitis is very important for the prognostic assessment and in making the decision to initiate antiviral treatment. Although the liver biopsy remains the gold standard, recent studies focused on establishing the role of noninvasive methods in liver fibrosis grading.
Elastography is an imaging method which estimates tissue elasticity. The first elastography method which appeared was Transient Elastography (TE), followed by Real Time Elastography (RT-E) and Acoustic Radiation Force Impulse (ARFI). TE was a method especially developed for noninvasive assessment of liver fibrosis as an alternative to liver biopsy. Unlike these, RT-E and ARFI have multiple applications in diffuse and tumoral pathology.
Transient Elastography (FibroScan) represents a noninvasive method useful in detecting the degree of liver fibrosis. The ultrasound transducer probe is able to generate elastic shear waves that propagate through the liver tissue as well as to measure their speed in the tissue. Wave speed is directly related to tissue stiffness which is expressed in kilopascals [1]. Initially, this method was validated for use and considered for chronic hepatitis management guidelines, then for human immunodeficiency virus/hepatitis C virus (HCV) co-infection and cholestatic liver diseases. FibroScan failures to give reliable results in obese patients were reduced by developing a new XL probe which facilitated an alternative noninvasive method to liver biopsy for liver fibrosis assessment [2].
Acoustic Radiation Force Impulse (ARFI) was proposed as an alternative to FibroScan for the assessment of liver tissue elasticity, using a conventional ultrasound machine. The main advantages of this method are the possibility of producing real-time images and its feasibility in patients with ascites. Preliminary studies show better results for predicting advanced grades of liver fibrosis than for mild to moderate fibrosis where the method is less sensitive [3].
Real Time Elastography (RT-E) estimates relative tissue stiffness based on soft tissue distortion and data are provided as real time color images [4, 5]. This is a real time method that could also be used for patients with ascites. The method is not validated for liver fibrosis assessment as there are few studies published so far. The appearance of the elastography software on the convex probe with high penetration and possibility for elastography to visualize the liver entirely and the development of information elastography measurement information programs open new perspectives in noninvasive assessment of liver pathology by RT-E. There are two recent studies showing good results of the software for quantitative analysis in RT-E equipment.
The aim of this study is to establish the role of elastographic methods (ARFI and RT-E) in liver fibrosis assessment in patients with chronic viral hepatitis. This multicentric prospective trial will be approved by the ethical committee of each centre.
AIM To evaluate the role of real time elastography (ARFI and Hitachi elastography) in noninvasive diagnosis of liver fibrosis in patients with chronic hepatitis.
MATERIAL AND METHODS
Statistical analysis
The diagnostic performance of ARFI and RT-E for liver fibrosis will determine in terms of sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy and area under the receiver operating characteristic curve (AUROC).
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Inclusion criteria
age over 18 years old
Study will include three groups of patients as follows:
There at least one reference method available for patients with chronic hepatitis (Transient elastography/ liver biopsy)
Hepatic cirrhosis diagnosis is established using clinical and paraclinical features (ultrasonography, superior digestive endoscopy)
A written informed consent is given to each patient
Exclusion criteria
500 participants in 3 patient groups
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Central trial contact
Larisa D Sandulescu, MD, PhD
Data sourced from clinicaltrials.gov
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