Artificial intelligence for diagnosis of submucosal tumors of the digestive tract by endoscopic ultrasound: a multicenter, case-control, diagnostic study

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000031440

Enrollment

Unknown

Registered

2020-04-01

Start date

2020-04-01

Completion date

Unknown

Last updated

2020-09-28

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

Conditions

Submucosal tumors of the digestive tract

Interventions

Gold Standard:Histopathological examination

Index test:Endoscopic&#32

Ultrasound&#32

Artificial&#32

Intelligence&#32

Diagnostic&#32

System

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients over 18 years old who underwent EUS examinations, including inpatients and outpatients; 2. Patients who agreed to participate in the study and were able to sign written informed consent; 3. Patients who agree to perform histopathological examination in suspected SMT include but are not limited to: clamp biopsy or endoscopic ultrasound-guided fine needle aspiration.

Exclusion criteria

Exclusion criteria: 1. Patients with contra-indications of ultrasound endoscopy; 2. Those who underwent biopsy during the EUS examination but whose pathological diagnosis and pathology report were not confirmed; 3. Those who failed to complete the ultrasound endoscopy under special circumstances.

Design outcomes

Primary

Measure	Time frame
Ultrasound images and videos;White light images and videos;Histopathology report;	—

Countries

China

Contacts

Public ContactNing Zhong

Qilu Hospital of Shandong University

nathan.zhongning@foxmail.com+86 18560086096

Outcome results

None listed

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