Enhancing Chicago Classification diagnoses with functional lumen imaging probe—mechanics (FLIP‐MECH)

• Published in: Neurogastroenterology and motility Vol. 36; no. 8; pp. e14841 - n/a
• Main Authors: Halder, Sourav, Yamasaki, Jun, Liu, Xinyi, Carlson, Dustin A., Kou, Wenjun, Kahrilas, Peter J., Pandolfino, John E., Patankar, Neelesh A.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.08.2024
• Subjects: achalasia; Adult; Deep Learning; dysphagia; esophageal biomechanics; esophageal motility disorders; Esophageal Motility Disorders - classification; Esophageal Motility Disorders - diagnosis; Esophageal Motility Disorders - physiopathology; Esophagus; Esophagus - diagnostic imaging; Esophagus - physiopathology; Female; generative AI; Humans; Male; Manometry - methods; Mechanics; Middle Aged; Motility; Synergism; dysphagia; achalasia; generative AI; esophageal motility disorders; esophageal biomechanics
• ISSN: 1350-1925; 1365-2982; 1365-2982
• DOI: 10.1111/nmo.14841

Background Esophageal motility disorders can be diagnosed by either high‐resolution manometry (HRM) or the functional lumen imaging probe (FLIP) but there is no systematic approach to synergize the measurements of these modalities or to improve the diagnostic metrics that have been developed to anal...