A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
A Single Center Study on the Effectiveness and Safety of Polyp Detection and Polyp Classification With Artificial Intelligence
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yu Honggang, MD
- Phone Number: +86 13871281899
- Email: yuhonggang1968@163.com
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430060
- Recruiting
- Renmin Hospital of Wuhan University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- male or female aged 18 or above;
- colonoscopy and related examinations should be performed to further clarify the characteristics of digestive tract diseases;
- be able to read, understand and sign the informed consent;
- the researcher 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 > 1cm lesion detected by colonoscopy, requiring magnification staining or surgical resection.
Exclusion Criteria:
- have participated in other clinical trials, signed the informed consent and have been in the follow-up period of other clinical trials;
- drug or alcohol abuse or psychological disorder in the last 5 years;
- pregnant or nursing women;
- subjects with previous history of intestinal surgery;
- the researcher considers that the subject is not suitable for colonoscopy and related examination;
- high-risk diseases or other special conditions that the investigator considers inappropriate for the subject to participate in the clinical trial.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of evaluating the feasibility of selective-ESD
Time Frame: 2019.12.24-2020.12.31
|
Calculate the accuracy of ai's judgment on whether ESD should be implemented.Accuracy is: the machine over a period of time to judge the results are consistent with the pathological lesion number of molecules, all lesions detected by a period of time for the denominator expressed as a percentage.The gold standard is the pathological results of diagnostic treatment.
After the specimen was removed, the area suspected by endoscopists of early cancer was marked with Indian ink for pathological recovery.The specimens were then placed in formalin and fixed for 24 hours until the ink was a little dry.Even if the specimen is cut into 2mm-wide shapes, the suspected area can be identified by Indian ink staining under a microscope.The doctor suspected cancer patients were followed up for 60 days.
|
2019.12.24-2020.12.31
|
|
Accuracy of Vision location
Time Frame: 2019.12.24-2020.12.31
|
Calculate the accuracy of the machine in locating the field of vision.The accuracy was as follows: the visual field localization results of the machine on the ESD intraoperative lesion screen captures were the numerator consistent with the number of visual fields determined by multiple endoscopists, and the number of visual fields of all localization in the same operation was the denominator, and the result was expressed as a percentage.The consistent results of visual field positioning by multiple endoscopic physicians watching the operation video were the gold standard.Patients with suspected cancer were followed up for 60 days, and the most serious pathological diagnosis within 60 days was taken as the diagnosis of the patient's disease.Patients whose doctors deemed no risk were followed until the end of colonoscopy.
|
2019.12.24-2020.12.31
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Consistent of classification among different endoscopists
Time Frame: 2019.12.24-2020.12.31
|
Consistent of classification among different endoscopists
|
2019.12.24-2020.12.31
|
|
Consistent of classification between diagnostic system and endoscopists
Time Frame: 2019.12.24-2020.12.31
|
Consistent of classification between diagnostic system and endoscopists
|
2019.12.24-2020.12.31
|
|
Consistent of vision positioning between diagnostic system and endoscopists
Time Frame: 2019.12.24-2020.12.31
|
Consistent of vision positioning between diagnostic system and endoscopists
|
2019.12.24-2020.12.31
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Yu Honggang, MD, Wuhan University Renmin Hospital
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- EA-19-003
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.