NIPH Clinical Trials Search

JAPANESE
国立保健医療科学院
UMIN ID: UMIN000054533

Registered date:01/06/2024

Early detection of gastric cancer by AI diagnosis of endoscope

Basic Information

Recruitment status Pending
Health condition(s) or Problem(s) studiedEarly gastric cancer
Date of first enrollment2024/06/01
Target sample size1000
Countries of recruitmentJapan
Study typeInterventional
Intervention(s)Upper endoscopy is performed, and in the endoscopy group with AI, biopsy is performed when the examiner or AI, or both recognize the lesion to evaluate the lesion. The duration of the intervention is during one endoscopy, and auxiliary diagnosis with AI can be used repeatedly as necessary during the examination. In the endoscopy group without AI, biopsy is performed only when the examiner determines that it is necessary to evaluate the lesion.

Outcome(s)

Primary OutcomeGastric Cancer Discovery Rate
Secondary OutcomeDifferences in Gastric Cancer Detection Rates Between Endoscopists and Nonspecialists Difference in detection rate depending on the nature of the lesion

Key inclusion & exclusion criteria

Age minimumNot applicable
Age maximumNot applicable
GenderMale and Female
Include criteria
Exclude criteriaPatients who have already been diagnosed with stomach cancer.

Related Information

Contact

public contact
Name Shimpei Shirai
Address 1 Bunkyo-cho, Matsuyama City, Ehime Prefecture Japan 7908524
Telephone 089-924-1111
E-mail shimpei_shirai85@outlook.com
Affiliation Matsuyama Red Cross Hospital Gastroenterology
scientific contact
Name Kouji Ikegami
Address 1 Bunkyo-cho, Matsuyama City, Ehime Prefecture Japan
Telephone 089-924-1111
E-mail kikegami56@aol.com
Affiliation Matsuyama Red Cross Hospital Gastroenterology