First report from International Evaluation of Endoscopic classification JNET: an international multicenter web trial.

Yutaka SaitoSakamoto TakuEvelien DekkerMathieu PiocheAndreas ProbstThierry PonchonHelmut MessmannMario Dinis-RibeiroTakahisa Matsuda Hiroaki IkematsuShoichi SaitoYoshiki WadaYasushi SanoMitsuhiro FujishiroYoshitaka MurakamiHideki IshikawaHaruhiro InoueShinji TanakaHisao Tajirinull null

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2023)

The diagnostic accuracy of the JNET classification was similar between ESGE and JGES and considered to be sufficient for JNET type 1. On the other hand, the accuracy of for Type 2 and 3 is not sufficient, however, JNET 2B lesions should be resected en-bloc due to the risk of cancers and JNET 3 can be treated by surgery due to its high specificity.

Keyphrases

machine learning
deep learning
minimally invasive
clinical trial
study protocol
lymph node
coronary artery bypass
randomized controlled trial
phase ii
phase iii
coronary artery disease
open label
percutaneous coronary intervention