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Validation of secondary peristalsis classification using FLIP panometry in 741 subjects undergoing manometry.

Dustin A CarlsonAlexandra J BaumannJacqueline E PrescottErica N DonnanRena H YadlapatiAbraham R KhanChandra Prakash GyawaliWenjun KouPeter J KahrilasJohn E Pandolfino
Published in: Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society (2021)
The FLIP panometry contractile response patterns reflect a pathophysiologic transition from normal to abnormal esophageal peristaltic function with shared features with primary peristaltic function/dysfunction on HRM. Thus, these patterns of the contractile response to distension can facilitate the evaluation of esophageal motility using FLIP panometry.
Keyphrases
  • skeletal muscle
  • machine learning
  • smooth muscle
  • deep learning
  • oxidative stress
  • escherichia coli
  • staphylococcus aureus
  • clinical evaluation