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Predicting cannulation difficulty in endoscopic retrograde cholangiopancreatography using CT image findings: a decision-tree analysis.

Sun Hwa LeeJae Min LeeNa Yeon HanMin Ju KimBeom Jin ParkDeuk Jae SungKi Choon Sim
Published in: Acta radiologica (Stockholm, Sweden : 1987) (2020)
The CT findings-based decision-tree analysis model showed a high accuracy in predicting cannulation difficulty and may be helpful for making pre-ERCP strategy.
Keyphrases
  • ultrasound guided
  • computed tomography
  • extracorporeal membrane oxygenation
  • image quality
  • decision making
  • dual energy
  • deep learning
  • machine learning
  • data analysis