Article
Achalasia phenotypes and prediction of peroral endoscopic myotomy outcomes using machine learning.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society - 1 Jul 2024
Takahashi Kazuya, Sato Hiroki, Shimamura Yuto, Abe Hirofumi, Shiwaku Hironari, Shiota Junya, Sato Chiaki, Hamada Kenta, Ominami Masaki, Hata Yoshitaka, Fukuda Hisashi, Ogawa Ryo, Nakamura Jun, Tatsuta Tetsuya, Ikebuchi Yuichiro, Yokomichi Hiroshi, Terai Shuji, Inoue Haruhiro
Abstract excerpt
OBJECTIVES: High-resolution manometry (HRM) and esophagography are used for achalasia diagnosis; however, achalasia phenotypes combining esophageal motility and morphology are unknown. Moreover, predicting treatment outcomes of peroral endoscopic myotomy (POEM) in treatment-naïve patients remains an unmet need. METHODS: In this multicenter cohort study, we included 1824 treatment-naïve patients diagnosed with...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.