AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study

Recruiting N/A Interventional Study
Esophageal Cancer Stage Early Esophageal Cancer
No Placebo Group Every participant receives an active treatment — no one gets a placebo.
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At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Diagnostic
Participants needed
200 (estimated)
Sponsor
Fujian Provincial Hospital · Other
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About This Trial

This study mainly uses an artificial intelligence system to assist in the classification of the depth of invasion of early esophageal squamous cell carcinoma under ultrasound endoscopy, providing a basis for preoperative T staging and diagnosis and treatment decisions.

Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Satisfy ①⑧⑨ and one of the following conditions simultaneously: ②③④⑤⑥⑦ ① Age over 18 years old, ② Esophageal ulcer, ③ low-grade intraepithelial neoplasia, ④ high-grade intraepithelial neoplasia, ⑤ patients with esophageal squamous cell carcinoma, ⑥ white patches of esophageal …
Contacts

Wei Liang, MD

+86 -18120888996

fjsllw@163.com

CONTACT

Yanqin Xu, MD

+86-13599382136

454202013@QQ.COM

CONTACT