| Unique ID issued by UMIN | UMIN000060215 |
|---|---|
| Receipt number | R000068874 |
| Scientific Title | Evaluation of the Usefulness of an AI-Assisted Endoscopic Ultrasonography Program for the Detection of Solid Pancreatobiliary Lesions: A Prospective Multicenter Observational Study |
| Date of disclosure of the study information | 2026/02/01 |
| Last modified on | 2025/12/26 16:45:31 |
Evaluation of the Usefulness of an AI-Assisted Endoscopic Ultrasonography Program for the Detection of Solid Pancreatobiliary Lesions: A Prospective Multicenter Observational Study
Evaluation of the Usefulness of an AI-Assisted Endoscopic Ultrasonography Program for the Detection of Solid Pancreatobiliary Lesions: A Prospective Multicenter Observational Study
Evaluation of the Usefulness of an AI-Assisted Endoscopic Ultrasonography Program for the Detection of Solid Pancreatobiliary Lesions: A Prospective Multicenter Observational Study
Evaluation of the Usefulness of an AI-Assisted Endoscopic Ultrasonography Program for the Detection of Solid Pancreatobiliary Lesions: A Prospective Multicenter Observational Study
| Japan |
Solid lesions in the pancreaticobiliary region and adjacent organs detectable by endoscopic ultrasonography (EUS), including the hepatic hilum, duodenum, and lymph nodes
| Hepato-biliary-pancreatic medicine |
Malignancy
NO
The objective of this study is to prospectively evaluate the detection performance of an AI-assisted endoscopic ultrasonography system (EUS-AI) for solid pancreaticobiliary lesions. Specifically, in patients with solid pancreaticobiliary lesions for whom EUS-guided tissue acquisition (EUS-TA) is planned to establish a definitive diagnosis, we will record and assess whether the AI system detects the target lesion during real-time EUS observation. Based on these data, the tumor detection rate of EUS-AI will be calculated.
In addition, secondary analyses will be performed to investigate the impact of lesion location, lesion size, disease entity, operator experience, and pathological diagnosis on AI-based lesion detection. This study is designed as a pilot investigation to clarify the performance of EUS-AI in detecting solid lesions on EUS images under real-world clinical conditions, with the aim of facilitating future improvements in diagnostic accuracy and potential applications in endoscopist training.
Efficacy
Detection rate of EUS-AI for solid pancreaticobiliary lesions scheduled for EUS-guided tissue acquisition (EUS-TA)
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
1.Adult patients aged 20 years or older at the time of obtaining informed consent.
2.Patients with suspected solid lesions in the pancreaticobiliary region or adjacent organs detectable by endoscopic ultrasonography (EUS), including the hepatic hilum, duodenum, and lymph nodes, for whom EUS-guided tissue acquisition (EUS-TA) was planned to establish a definitive diagnosis.
This includes cases in which EUS observation was performed regardless of whether EUS-TA was ultimately carried out.
3.Patients in whom EUS observation with concomitant use of EUS-AI can be performed as part of routine clinical practice.
4.Patients who have received a sufficient explanation of the purpose and content of this study and have provided written informed consent of their own free will.
1.Patients in whom EUS examination is deemed difficult due to poor general condition and inability to undergo sedation.
2.Patients who have previously undergone EUS-AI for the same target lesion and are scheduled to undergo EUS-guided tissue acquisition (EUS-TA) for purposes such as tumor panel testing.
3.Patients who are judged by the principal investigator or sub-investigators to be inappropriate for inclusion in this study.
700
| 1st name | Hiroyuki |
| Middle name | |
| Last name | Isayama |
Graduate School of Medicine, Juntendo University
Department of Gastroenterology
113-8421
2-1-1 Hongo, Bunkyo-Ku, Tokyo, Japan
03-3813-3111
sho-takahashi@juntendo.ac.jp
| 1st name | Sho |
| Middle name | |
| Last name | Takahashi |
Graduate School of Medicine, Juntendo University
Department of Gastroenterology
113-8421
2-1-1 Hongo, Bunkyo-Ku, Tokyo, Japan
03-3813-3111
sho-takahashi@juntendo.ac.jp
Juntendo University
none
Other
Graduate School of Medicine, Juntendo University
2-1-1 Hongo, Bunkyo-Ku, Tokyo, Japan
03-3813-3111
sho-takahashi@juntendo.ac.jp
NO
順天堂大学医学部附属順天堂医院(東京都)
| 2026 | Year | 02 | Month | 01 | Day |
Unpublished
Preinitiation
| 2025 | Year | 11 | Month | 01 | Day |
| 2025 | Year | 12 | Month | 26 | Day |
| 2026 | Year | 02 | Month | 01 | Day |
| 2030 | Year | 03 | Month | 31 | Day |
| 2030 | Year | 03 | Month | 31 | Day |
This study is a prospective multicenter observational study. During routine clinical endoscopic ultrasonography (EUS) examinations, observations are performed with the concomitant use of an AI-assisted lesion detection program (EUS-AI). Patients with solid pancreaticobiliary lesions for whom EUS-guided tissue acquisition (EUS-TA) is planned are included, and whether the AI system detects the target lesion during EUS observation is recorded and evaluated. No intervention is performed, and all diagnostic and therapeutic decisions are made at the discretion of the attending physician.
| 2025 | Year | 12 | Month | 26 | Day |
| 2025 | Year | 12 | Month | 26 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000068874