A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence

Artificial Intelligence Clinical Trial

Official title:

A Single Center Study on the Effectiveness and Safety of Polyp Detection and Polyp Classification With Artificial Intelligence

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04216901
• Other study ID #: EA-19-003
• Status: Recruiting
• Start date: December 24, 2019
• Est. completion date: June 30, 2021

Study information

• Verified date: October 2020
• Source: Renmin Hospital of Wuhan University
• Contact: Yu Honggang, MD
• Phone: +86 13871281899
• Email: yuhonggang1968[@]163.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This is an artificial intelligence-based optical endoscopic polyp diagnosis system that can assist endoscopic doctors in diagnosing polyps and improve the quality of training in clinical Settings.

Description:

Large sessile and laterally spreading colorectal lesions(LSLs) are increasingly encountered during colonoscopy. LSLs have an increased risk of harbouring invasive cancer and can be challenging to excise endoscopically. Wide-field endoscopic mucosal resection (WF-EMR) is widely used in treating LSLs. In the East, meanwhile endoscopic submucosal dissection (ESD) is the dominant technique due to its ability to achieve en bloc resection in over 80% of cases. Many papers have demonstrated that selective-esd has the highest economic benefit. The key is to find a reliable way to select.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 70
• Est. completion date: June 30, 2021
• Est. primary completion date: December 31, 2020
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

1. male or female aged 18 or above;

2. colonoscopy and related examinations should be performed to further clarify the characteristics of digestive tract diseases;

3. be able to read, understand and sign the informed consent;

4. 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;

5. patients with > 1cm lesion detected by colonoscopy, requiring magnification staining or surgical resection.

Exclusion Criteria:

1. have participated in other clinical trials, signed the informed consent and have been in the follow-up period of other clinical trials;

2. drug or alcohol abuse or psychological disorder in the last 5 years;

3. pregnant or nursing women;

4. subjects with previous history of intestinal surgery;

5. the researcher considers that the subject is not suitable for colonoscopy and related examination;

6. high-risk diseases or other special conditions that the investigator considers inappropriate for the subject to participate in the clinical trial.

Related Conditions & MeSH terms

• Artificial Intelligence
• Colonic Diseases

Intervention

Diagnostic Test:
• Endoscopists refer to AI for diagnosis
The AI will provide a pathological prediction of the lesion during colonoscopy.

Locations

Country	Name	City	State
China	Renmin Hospital of Wuhan University	Wuhan	Hubei

Sponsors (1)

Lead Sponsor	Collaborator
Renmin Hospital of Wuhan University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Accuracy of evaluating the feasibility of selective-ESD	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
Primary	Accuracy of Vision location	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	Consistent of classification among different endoscopists	Consistent of classification among different endoscopists	2019.12.24-2020.12.31
Secondary	Consistent of classification between diagnostic system and endoscopists	Consistent of classification between diagnostic system and endoscopists	2019.12.24-2020.12.31
Secondary	Consistent of vision positioning between diagnostic system and endoscopists	Consistent of vision positioning between diagnostic system and endoscopists	2019.12.24-2020.12.31