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ESGE Days 2019
Find the ESGE Days abstracts here (full PDF) or here (individual contributions)

Current Issue: December 2019

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network

by Bum-Joo Cho, Chang Seok Bang, Se Woo Park et al.

The development of an artificial intelligence tool that uses convolutional neural networks to classify gastric lesions is described. The system was shown to be less accurate than the best endoscopist, but no difference was seen when it was compared with endoscopists with lower accuracy. Further studies are needed to evaluate the system in a realworld clinical setting for the management of gastric lesions.

Read more here.

Operative technical tricks and 12-month outcomes of diverticular peroral endoscopic myotomy (D-POEM) in patients with symptomatic esophageal diverticula

by Amit Maydeo, Gaurav K. Patil, Ankit Dalal et al.

Series of 25 patients with symptomatic esophageal diverticula treated by diverticular peroral endoscopic myotomy (D-POEM). In all patients complete septotomy was achieved and no major complications were observed. Future studies should focus on long-term follow-up results.

Read more here.

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019

by Raf Bisschops, James E. East, Cesare Hassan et al.

This Guideline is a revision of the previously published 2014 ESGE Guideline addressing the role of advanced endoscopic imaging for detection and differentiation of colorectal neoplasia, in the average risk population and high risk individuals (advanced endoscopic imaging and hereditary syndromes). In addition, the role of advanced imaging techniques in endoscopic treatment and follow-up is addressed. A new section on the upcoming potential role of artificial intelligence and the currently available evidence is added in this version.

Read more here.