Clinical Research on a Novel Deep-learning Based System in Pancreatic Endoscopic Ultrasound Scanning
Clinical Research on Navigation and Quality Control System of Pancreatic Ultrasound Endoscopy Based on Deep Learning
1 other identifier
interventional
200
1 country
1
Brief Summary
The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in pancreatic ultrasound endoscopic scanning.The main questions it aims to answer are as follows: 1.The comparison of the image recognition accuracy between the artificial intelligence system and the ultrasound endoscopist; 2. Whether the artificial intelligence system can improve the efficiency of the pancreatic scanning for the ultrasound endoscopist. Participants will undergo pancreatic EUS with or without the assistance of the artificial intelligence system.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
March 17, 2023
CompletedFirst Posted
Study publicly available on registry
March 31, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2025
CompletedFebruary 12, 2025
November 1, 2024
3.5 years
March 17, 2023
February 7, 2025
Conditions
Outcome Measures
Primary Outcomes (2)
Accuracy
The number of correctly classified images divided by the total number of images.
2 year
The completeness for standard station scanning
This was calculated as the number of stations successfully scanned divided by the total number of stations that should have been scanned.
2 year
Secondary Outcomes (4)
Cohen's kappa coefficient.
2 year
The completeness of anatomical landmarks
2 year
The completeness for standard stations and anatomical landmarks per individual
2 year
Operation time
2 year
Study Arms (2)
AI-assisted group
EXPERIMENTALSubjects will undergo EUS examination with the assistance of artificial intelligence(AI) system.
Non-assisted group
NO INTERVENTIONSubjects will undergo EUS examination without the assistance of artificial intelligence(AI) system.
Interventions
Patients will undergo EUS examination with the assistance of artificial intelligence(AI) system.
Eligibility Criteria
You may qualify if:
- \. Age ≥18 years old, \<80 years old 2.Patients who need endoscopic ultrasonography of pancreas; 3. Agree to participate in this study and sign the informed consent form.
You may not qualify if:
- Subjects who meet any of the following criteria cannot be selected for this trial:
- First. The patient's physical condition does not meet the requirements of conventional endoscopic ultrasonography:
- Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc.
- Anesthesia assessment failed
- Pregnancy or breastfeeding
- In the acute stage of chemical and corrosive injury, it is very easy to cause perforation
- Recent acute coronary syndrome or clinically unstable ischemic heart attack
- Heart disease patients with right-to-left shunt, patients with severe pulmonary hypertension (pulmonary artery pressure\> 90mmHg),patients with uncontrolled systemic hypertension and patients with adult respiratory distress syndrome.
- Second. Disagree to participate in this study.
- Third. There are other problems that do not meet the requirements of this research or that affect the results of the research:
- Pancreatic disease has undergone surgery or radiotherapy and chemotherapy beforehand;
- Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Third Xiangya Hospital of Central South University
Changsha, Hunan, 410013, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Xiaoyan Wang, Doctor
The Third Xiangya Hospital of Central South University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 17, 2023
First Posted
March 31, 2023
Study Start
January 1, 2021
Primary Completion
June 30, 2024
Study Completion
June 30, 2025
Last Updated
February 12, 2025
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will not share
Some data underlying this trial cannot be shared publicly due to protection of participant's privacy.