Endoscopic ultrasonography in differential diagnostics of benign and malignant pathology of the common bile ducts utilising fuzzy mathematical technologies

The study aims to enhance the outcomes of differential diagnosis of obstructive pathology of the common bile duct by leveraging the results of endoscopic ultrasonography (EUS) using hybrid fuzzy decision-making technologies.The main diagnostic methods are endosonography and the hybrid fuzzy decision rule synthesis methodology, developed at Southwest State University in Kursk, Russia.Based on expert assessments of endosonograms depicting common bile duct pathology, and the hybrid fuzzy decision rule synthesis methodology, a hybrid fuzzy model for differential diagnosis of the studied pathology was developed.Mathematical modelling and statistical calculations demonstrated the effectiveness of this differential diagnostic model, providing a confidence level of 0.93 in the desired diagnosis which is an acceptable result when working with poorly formalised initial data.