Unique ID issued by UMIN | UMIN000058226 |
---|---|
Receipt number | R000066568 |
Scientific Title | A prospective observational study to investigate the usefulness of an artificial intelligence-based endoscopic image diagnosis support system for rare upper gastrointestinal cancers |
Date of disclosure of the study information | 2025/06/20 |
Last modified on | 2025/06/19 18:24:00 |
A prospective observational study to investigate the usefulness of an artificial intelligence-based endoscopic image diagnosis support system for rare upper gastrointestinal cancers
The usefulness of AI endoscopy for rare upper gastrointestinal cancers
A prospective observational study to investigate the usefulness of an artificial intelligence-based endoscopic image diagnosis support system for rare upper gastrointestinal cancers
The usefulness of AI endoscopy for rare upper gastrointestinal cancers
Japan |
Recurrent cancer after radiation therapy
Esophagogastric junction cancer/Barrett's cell carcinoma
Cancer in the mucosa behind achalasia
Undifferentiated gastric cancer without Helicobacter pylori infection
Gastroenterology |
Malignancy
NO
Using the upper endoscopy image diagnosis support program (EW10-EG02) for detection installed in the endoscopic image diagnosis support system (CAD EYE), we will verify the performance (mainly sensitivity) of the following four rare types of cancer.
Efficacy
Detection rate of CAD EYE (LCI-CADe and BLI-CADe) for known upper gastrointestinal cancers
Characteristics of known lesions detected/not detected by LCI-CADe or BLI-CADe
Survey items
CAD EYE detection results
Information about lesions (number, location [direction, circumferential distribution, etc.], shape (protruding, flat, depressed), etc.)
Pathology results
Other information (patient information, surgeon information, endoscopic examination information, etc.)
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Patients scheduled to undergo upper gastrointestinal endoscopy for the following cancers or suspected cancer lesions at our university
- Recurrent cancer after radiation therapy
- Esophagogastric junction cancer/Barrett's cell carcinoma
- Cancer in the mucosa behind achalasia
- Undifferentiated gastric cancer not infected with Helicobacter pylori
- Patients who the principal investigator judges to be unsuitable as study subjects
- Patients who are unable to consent
- Minors
- Patients who do not undergo treatment at their own facility
40
1st name | TAKAO |
Middle name | |
Last name | MAEKITA |
School of Medicine, Wakayama Medical University
Department of 2nd Internal Medicine
6410012
811-1 Kimiidera, Wakayama, Wakayama
+81-73-447-2300
maekita@wakayama-med.ac.jp
1st name | TAKAO |
Middle name | |
Last name | MAEKITA |
School of Medicine, Wakayama Medical University
Department of 2nd Internal Medicine
6410012
811-1 Kimiidera, Wakayama, Wakayama
+81-73-447-2300
maekita@wakayama-med.ac.jp
School of Medicine, Wakayama Medical University
Nothing
Other
School of Medicine, Wakayama Medical University
811-1 Kimiidera, Wakayama, Wakayama
+81-73-447-2300
maekita@wakayama-med.ac.jp
NO
2025 | Year | 06 | Month | 20 | Day |
Unpublished
Preinitiation
2025 | Year | 06 | Month | 19 | Day |
2025 | Year | 07 | Month | 01 | Day |
2028 | Year | 03 | Month | 31 | Day |
Study design: Prospective study
Target number of cases: 40 cases
Primary item: Detection rate of CAD EYE (LCI-CADe and BLI-CADe) for known upper gastrointestinal cancer
Secondary item: Characteristics of known lesions detected/not detected by LCI-CADe or BLI-CADe
Survey items are:
- CAD EYE detection results
- Information on lesions (number, location [direction, circumferential location, etc.], shape (protruding, flat, depressed), etc.)
- Pathological results
- Other information (patient information, surgeon information, endoscopic examination information, etc.)
2025 | Year | 06 | Month | 19 | Day |
2025 | Year | 06 | Month | 19 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066568