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Study identifier: NCT07251114 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Esophageal Cancer Stage · Early Esophageal Cancer  ·  Sponsor: Fujian Provincial Hospital

PhaseNA
Planned participants200
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Wei Liang, MD  ·  +86 -18120888996  ·  fjsllw@163.com

Yanqin Xu, MD  ·  +86-13599382136  ·  454202013@QQ.COM

Always discuss trial participation with your own doctor first.

Locations (5)

Fujian provincial hospitalFuzhou, Fujian, ChinaRecruiting
Affiliated Hospital of Putian UniversityPutian, Fujian, ChinaNot Yet Recruiting
Putian First HospitalPutian, Fujian, ChinaNot Yet Recruiting
Putian Hospital of Traditional Chinese MedicinePutian, Fujian, ChinaNot Yet Recruiting
Xianyou County General HospitalPutian, Fujian, ChinaNot Yet Recruiting

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Source record: clinicaltrials.gov/study/NCT07251114