FindTrial
Sign In

Artificial intelligence-assisted endoscopic ultrasound grading of early esophageal cancer invasion depth: A multicenter, prospective, randomized cohort study

Artificial intelligence-assisted endoscopic ultrasound grading of early esophageal cancer invasion depth: A multicenter, prospective, randomized cohort study

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500112629
Enrollment
Unknown
Registered
2025-11-17
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Early esophageal squamous cell carcinoma

Interventions

Ai-assisted Group:When conducting endoscopic ultrasound to determine the depth of early esophageal lesions, AI-assisted judgment is used
Conventional group:None

Sponsors

Fuzhou University Affiliated Provincial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Meet items 1, 5, and 6, and at least one of items 2, 3, and 4: 1. Age over 18 years; 2. Low-grade intraepithelial neoplasia suspected to be high-risk under endoscopy; 3. High-grade intraepithelial neoplasia; 4. Patients with esophageal squamous cell carcinoma; 5. Have endoscopic treatment records and detailed pathology records; 6. Agree to participate in the study.

Exclusion criteria

Exclusion criteria: 1. Postoperative esophageal cancer surgery; 2. History of chemoradiotherapy for esophageal cancer; 3. Patients with missing data.

Design outcomes

Primary

MeasureTime frame
Invasion Depth;—

Countries

China

Contacts

Public ContactYanqin Xu

Fujian Provincial Hospital

fjsllw@163.com+86 135 9938 2136

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026