الفهرس 
ultrasound liver imaging reporting and data system application for screening and surveillance of hepatocellular carcinoma during national mass screening campaign for patients with positive HCV serological test
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Abstract
Background: Hepatitis C virus (HCV) is a major health problem worldwide. In 2015, the global prevalence of HCV infection was 1.0%, with the highest prevalence in the Eastern Mediterranean Region (2.3%) followed by the European one (1.5%).Egypt is the country with the largest HCV (Omran D et al., 2018).Ultrasound is the most widely used imaging tool for hepatocellular carcinoma (HCC) screening and surveillance. Until now, this method has lacked standardized guidelines for interpretation, reporting, and management recommendations (Matsuoka et al., 2011). With imaging occupying a central role in diagnosis, staging, and management decisions, the need for a consistent lexicon and well-defined diagnostic criteria became a must.To fulfill this need and to improve clarity and quality in diagnostic reports, the Liver Imaging Reporting and Data System (LI-RADS).(Elsayes et al., 2017).Objective: To apply the US-LIRADS system to the ultrasound examination done during the national mass screening campaign to obtain better communication with the clinicians for further management of the patients.Methods: seven hundred and sixty three patients with positive HCV serological tests underwent Trans-Abdominal ultrasound using convex array ultrasound transducers. The examination was done in differentplanes with pre-examination preparation (avoid eating eight to twelve hours before examination). Results: Our results demonstrated that There is statistically significant difference in distribution of US LIRADS categories in the study group, as 88 .6% of cases have US category1, 10.5% has category 2 and 0.9% has category 3(P.<0.05).There is statistically significant difference in distribution of visualization score categories in the study group, as 84 .3% of cases have visualization score categoryA,13.9% has category B and 1.8% has category C(P.<0.05)