Introduction: Thermal ablative methods (such as argon plasma coagulation (APC) and soft tip snare coagulation (STSC) are commonly used to treat polyp margins. We aim to appraise the current literature and compare clinical outcomes between patients with treated (with APC vs. STSC) and non-treated endoscopic mucosal resection (EMR) margins.
View Article and Find Full Text PDFEndoscopic ultrasound (EUS) effectively diagnoses malignant and pre-malignant gastrointestinal lesions. In the past few years, artificial intelligence (AI) has shown promising results in enhancing EUS sensitivity and accuracy, particularly for subepithelial lesions (SELs) like gastrointestinal stromal tumors (GISTs). Furthermore, AI models have shown high accuracy in predicting malignancy in gastric GISTs and distinguishing between benign and malignant intraductal papillary mucinous neoplasms (IPMNs).
View Article and Find Full Text PDF1: ESGE recommends the combination of endoscopic ultrasound-guided tissue acquisition (EUS-TA) and endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition as the preferred diagnostic approach for tissue acquisition in patients with jaundice and distal extrahepatic biliary stricture in the absence of a pancreatic mass. 2: ESGE suggests that brushing cytology should be completed along with fluoroscopy-guided biopsies, wherever technically feasible, in patients with perihilar biliary strictures. 3: ESGE suggests EUS-TA for perihilar strictures when ERCP-based modalities yield insufficient results, provided that curative resection is not feasible and/or when cross-sectional imaging has shown accessible extraluminal disease.
View Article and Find Full Text PDF: Subepithelial lesions (SELs) of the gastrointestinal (GI) tract present a diagnostic challenge due to their heterogeneous nature and varied clinical manifestations. Usually, SELs are small and asymptomatic; generally discovered during routine endoscopy or radiological examinations. Currently, endoscopic ultrasound (EUS) is the best tool to characterize gastric SELs.
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