Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety

January 20, 2021 updated by: Renmin Hospital of Wuhan University

A Multicentric Validation Study on the Effectiveness and Safety of Artificial Intelligence Assisted System in Clinical Application of Retrograde Cholangiopancreatography

In this study, the investigators proposed a prospective study about the effectiveness of artificial intelligence system for Retrograde cholangiopancreatography. The subjects would be include in an analyses groups. The AI-assisted system helps endoscopic physicians estimate the difficulty of Endoscopic retrograde cholangiopancreatography for choledocholithiasis and make recommendations based on guidelines and difficulty scores. The investigators used the stone removal times, success rate of stone extraction and Operating time to reflect the difficulty of the operation, and evaluated whether the results of the AI system were correct.

Study Overview

Detailed Description

Endoscopy is a routine and reliable method for the diagnosis of digestive tract diseases.Common endoscopy are gastroscopy, colonoscopy, capsule endoscopy and enteroscopy, ultrasonic gastroscopy, after ercp and other related technology, can be used in early gastric cancer and peptic ulcer, esophageal varices, the stomach before lesion, intestinal polyps and adenomas and colorectal lesions, inflammatory bowel disease, pancreas disease, biliary tract disease diagnosis and follow-up.At present, digestive endoscopy almost covers the diagnosis of the vast majority of diseases of the digestive tract, and diseases of the digestive system that cannot be directly seen by endoscopy can also be realized through endoscopic-based technologies such as endoscopy and ERCP (here the investigators collectively refer to endoscopy), so as to achieve the coverage of the whole digestive system.It can be seen that digestive endoscopy is of great significance for the diagnosis of digestive diseases and the development of digestive field.

With the popularization of these related technologies, the number of endoscopy increased rapidly, which further increased the workload of endoscopists. The operation of endoscopy by high-load endoscopists would reduce the quality of endoscopy, which is prone to problems such as incomplete examination coverage and incomplete detection of lesions.In digestive endoscopy, there are some problems in China, such as lack of endoscopic physicians and uneven distribution, and the quality of endoscopy is not up to standard. These problems need to be solved urgently in order to relieve the pain of patients, save medical resources, save the time and money of patients, and ensure the quality of patients' medical treatment.

In 2015, the proposal of deep learning brought great changes to the field of artificial intelligence, which made the development of artificial intelligence leap to a new level.Computer vision is a science that studies how to make machines "see". Through deep learning, camera and computer can replace human eyes to carry out machine vision such as target recognition, tracking and measurement.Interdisciplinary cooperation in the field of medical imaging and computer vision is also one of the research hotspots in recent years. At present, it is mainly applied to the automatic identification and detection of lesions and quality control, and has achieved good results. It can assist doctors to find lesions, make disease diagnosis and standardize doctors' operations, so as to improve the quality of doctors' operations.With mature technical support, it has a good prospect and application value to develop endoscopic operating system for lesion detection and quality control based on artificial intelligence methods such as deep learning.

In this study, the investigators proposed a prospective study about the effectiveness of artificial intelligence system for Retrograde cholangiopancreatography. The subjects would be include in an analyses groups. The AI-assisted system helps endoscopic physicians estimate the difficulty of Endoscopic retrograde cholangiopancreatography for choledocholithiasis and make recommendations based on guidelines and difficulty scores. The investigators used the stone removal times, success rate of stone extraction and Operating time to reflect the difficulty of the operation, and evaluated whether the results of the AI system were correct.

Study Type

Observational

Enrollment (Anticipated)

150

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430000
        • Renmin Hospital
    • Shanghai
      • Shanghai, Shanghai, China, 200433
        • Changhai Hospital
      • Shanghai, Shanghai, China, 200072
        • People'S Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients who meet the admission criteria for endoscopic examination.

Description

Inclusion Criteria:

  • Who needs ERCP and its related tests are needed to further define the characteristics of digestive tract diseases
  • Able to read, understand and sign informed consent
  • The investigator believes that the subject can understand the process of the clinical study, is willing and able to complete all the study procedures and follow-up visits, and cooperate with the study procedures
  • Patients with a natural duodenal papilla

Exclusion Criteria:

  • Has participated in other clinical trials, signed informed consent and is in the follow-up period of other clinical trials
  • Has drug or alcohol abuse or mental disorder in the last 5 years
  • Women who are pregnant or lactating
  • Subjects with previous biliary sphincterotomy
  • The investigator determined that subjects were not suitable for ERCP and related tests
  • A high-risk disease or other special condition that the investigator considers inappropriate for the subject to participate in a clinical trial
  • Patients with known more severe pancreatic head carcinoma
  • Patients with acute pancreatitis within 3 days
  • Biliary stent replacement or removal did not occur after pancreatic angiography as expected
  • Acute cardiovascular and cerebrovascular diseases

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Other
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of stone removal operations
Time Frame: A year
The number of times that the stoning balloon and the stoning net were pulled out of the lumen during the stoning process.
A year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
the accuracy of the measurement
Time Frame: A year
The diameter of the stone (or the width of the lower end of the bile duct) measured by the machine is consistent with the doctor's degree.Accurate DuDu = | machine measurement results - the doctor gold standard measurement results | / doctor gold standard measurements.
A year
Stone clearance success rate
Time Frame: A year
Whether the stones have been removed successfully
A year
the sensitivity of the prediction of the stone
Time Frame: A year
That is, the sensitivity of the machine to predict the number of stones.Sensitivity = the number of calculi correctly predicted by the machine/the number of actual calculi.
A year
the operate time
Time Frame: During surgery
Refers to the time from the successful intubation of the duodenal papilla guide wire to the beginning of endoscopic withdrawal.
During surgery
the removal stone time
Time Frame: During surgery
Refers to the time from the successful intubation of the duodenal papilla guide wire to the beginning of endoscopic withdrawal.
During surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Honggang Yu, Doctor, Wuhan University Renmin Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2020

Primary Completion (Anticipated)

July 1, 2021

Study Completion (Anticipated)

December 31, 2021

Study Registration Dates

First Submitted

January 15, 2021

First Submitted That Met QC Criteria

January 20, 2021

First Posted (Actual)

January 22, 2021

Study Record Updates

Last Update Posted (Actual)

January 22, 2021

Last Update Submitted That Met QC Criteria

January 20, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • EA-19-006-08

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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