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A new AI diagnostic system of ultrasound Image for Digestive Submucosal Tumor

A new AI diagnostic system of ultrasound Image for Digestive Submucosal Tumor

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035787
Enrollment
Unknown
Registered
2020-08-16
Start date
2021-01-12
Completion date
Unknown
Last updated
2023-12-10

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

Conditions

submucosal tumor

Interventions

Gold Standard:Two experienced experts
Index test:mucosa A CAD system

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Patients with submucosal tumors found by endoscopy undergoing ultrasound endoscopic diagnosis; (2) Sufficient light intensity and clean lens; (3) Sign informed consent.

Exclusion criteria

Exclusion criteria: (1) Severe visual blur caused by image jitter; (2) There are obvious reflection points in a large area; (3) There are obvious stains and blood stains on the lens and the surface of the lesion.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy;

Countries

China

Contacts

Public ContactShan Wu

Shanghai Sixth People's Hospital

shanwu724@163.com+86 18801902134

Outcome results

None listed

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