Skip to content

Study on the usefulness of AI for diagnosis of gastric cancer

Multicenter clinical study on the usefulness of artificial intelligence assisted systems for the endoscopic diagnosis of superficial gastric neoplasm

Status
Active, not recruiting
Phases
Phase 3
Study type
Interventional
Source
JPRN
Registry ID
JPRN-jRCTs032210171
Enrollment
310
Registered
2021-06-29
Start date
2021-07-19
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

early gastric cancer, gastric adenoma early gastric cancer, gastric adenoma

Interventions

Endoscopic observation of the stomach during esophagogastroduodenoscopy is performed under the AI-assisted system.

Sponsors

Higuchi Kazutoshi
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Patients who will receive esophagogastroduodenoscopy. 2) Aged 20 years and older on the date of consent. 3) ECOG-PS: 0-1. 4) Patients who have given written consent voluntarily to participate in this study.

Exclusion criteria

Exclusion criteria: 1) Patients with past history of gastrectomy. 2) Patients with bleeding tendency. 3) Patients who take two or more antithrombotic drugs and cannot withdraw antithrombotic drugs for biopsy according to the guideline. 4) Women who are pregnant, possibly pregnant. 5) Patients deemed inappropriate by the investigator.

Design outcomes

Primary

MeasureTime frame
Accuracy rate of diagnosis for superficial gastric neoplasm in non-specialists of endoscopy under the AI-assisted system

Secondary

MeasureTime frame
1) Sensitivity, specificity, positive predictive value, and negative predictive value of diagnosis for superficial gastric neoplasm in non-specialists of endoscopy under the AI-assisted system 2) Sensitivity, specificity, accuracy rate, positive predictive value, and negative predictive value of diagnosis for superficial gastric neoplasm in specialists of endoscopy under the AI-assisted system 3) The number of biopsies 4) Observation time for stomach 5) Probability of AI-system diagnosing superficial gastric neoplasm

Contacts

Public ContactKazutoshi Higuchi

Nippon Medical School Hospital

k-higuchi@nms.ac.jp+81-3-3822-2131

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026