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Diagnostic yield of the Japan NBI Expert Team (JNET) classification for endoscopic diagnosis of superficial colorectal neoplasms in a large-scale clinical practice database.

Shunsuke KobayashiMasayoshi YamadaHiroyuki TakamaruTaku SakamotoTakahisa MatsudaShigeki SekineYoshinori IgarashiYutaka Saito
Published in: United European gastroenterology journal (2019)
The JNET classification proved useful in a clinical setting both for expert and nonexpert endoscopists, as was expected from the original JNET definition, but type 2B requires further investigation using pit pattern diagnosis.
Keyphrases
  • clinical practice
  • machine learning
  • deep learning
  • palliative care
  • ultrasound guided
  • quality improvement
  • endoscopic submucosal dissection