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ESGE Days 2019
Find the ESGE Days abstracts here (full PDF) or here (individual contributions)
Current Issue: June 2019
Endoscopic grading of gastric intestinal metaplasia (EGGIM): a multicenter validation study
Gianluca Esposito, Pedro Pimentel-Nunes, Stefano Angeletti et al.
Prospective validation in 250 patients of an endoscopic grading system of gastric intestinal metaplasia (EGGIM), showing that a narrow-band imaging-based EGGIM score of >4 has good diagnostic accuracy (sensitivity 89% and specificity 95%) for identifying high risk patients who need follow-up (operative link on gastric intestinal metaplasia [OLGIM] classification III/IV).
Read more here.
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
Lianlian Wu, Wei Zhou, Xinyue Wan et al.
The authors developed a novel system based on artificial intelligence with deep learning to detect early gastric cancer. The accuracy was found to be 93% and it worked faster than endoscopists. An additional advantage is that it proactively tracks suspicious cancerous lesions and monitors blind spots during gastroscopy.
Read more here.
by Cristiano Spada, Deirdre Mc Namara, Edward Despott et al.
The European Society of Gastrointestinal Endoscopy (ESGE) and United European Gastroenterology (UEG) present a short list of performance measures for small-bowel capsule endoscopy and device-assisted enteroscopy. For each procedure, six key measures and four minor metrics were proposed. A systematic and scientifically based methodology was applied to substantiate the proposed measures using the available evidence where possible. The adoption of these performance measures in all endoscopy services across Europe is recommended.
