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Development and Validation of An Artificial Intelligence-assisted System for Detection of Precancerous Gastric Lesions and Early Gastric Cancer

Development and Validation of An Artificial Intelligence-assisted System for Detection of Precancerous Gastric Lesions and Early Gastric Cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000031058
Enrollment
Unknown
Registered
2020-03-21
Start date
2020-03-17
Completion date
Unknown
Last updated
2022-01-24

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

Conditions

Early Gastric Cancer

Interventions

Gold Standard:Pathological results
Index test:Artificial&#32
intelligence-assisted&#32
system&#32
for&#32
detection&#32
of&#32
precancerous&#32
gastric&#32
lesions&#32
ande&#32
early&#32
cancer.

Sponsors

Gulou Hospital Affiliated to Medical College of Nanjing University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged 18 years or older undergoing gastroscopy; 2. Patients who can read, understand and sign informed consent; 3. ASA (American Society of Anesthesiology) risk class 1, 2 or 3.

Exclusion criteria

Exclusion criteria: 1. Patients with absolute contraindications to EGD examination; 2. Patients in pregnancy; 3. With a history of previous gastric surgery; 4. Allergic to anaesthetic in previous medical history; 5. With high risk diseases or other special conditions that the researchers think are not suitable for clinical trials.

Design outcomes

Primary

MeasureTime frame
Detection rate of precancerous gastric lesions and early gastric cancer;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactXiaoping Zou

Gulou Hospital Affiliated to Medical College of Nanjing University

zouxp@nju.edu.cn+86 25 83106666 54588

Outcome results

None listed

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