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Development and Validation of an Artificial Intelligence-assisted Diagnostic System for Esophageal Lesions Using Endoscopic Ultrasound

Development and Validation of an Artificial Intelligence-assisted Diagnostic System for Esophageal Lesions Using Endoscopic Ultrasound

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106787
Enrollment
Unknown
Registered
2025-07-30
Start date
2025-07-31
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Esophageal Cancer

Interventions

Gold Standard:Pathological results
Index test:Artificial intelligence-assisted endoscopic ultrasound diagnosis system

Sponsors

Tongji University Affiliated Tongji Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age: Patients are 18 years old or above. 2.Lesion Type: Diagnosed with early esophageal cancer or submucosal elevated lesions of the esophagus (such as leiomyoma or gastrointestinal stromal tumor). 3.Imaging Examination: Undergo endoscopic ultrasound examination and agree to participate in the study. 4.Informed Consent: Patients are able to understand the purpose, procedures, and potential risks of the study and sign an informed consent form.

Exclusion criteria

Exclusion criteria: Concurrent Serious Diseases: Patients with severe cardiopulmonary diseases or those unable to tolerate endoscopy. Prior Treatment: Patients who have already undergone surgery, radiotherapy, or chemotherapy. Unsuitable for Endoscopic Ultrasound: Patients with significant esophageal stenosis or risk of perforation. Psychological or Mental Disorders: Patients with conditions that affect their ability to understand and cooperate with the study.

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy;Area under the receiver operating curve;Sensitivity;Specificity;Positive predictive value;Negative predictive value;Speed of recognition;

Countries

China

Contacts

Public ContactSun Huihui

Tongji University Affiliated Tongji Hospital

s-haijie@163.com+86 159 0211 5762

Outcome results

None listed

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