Clinical Trials Logo

Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05751824
Other study ID # EA-23-01
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date February 26, 2023
Est. completion date December 31, 2029

Study information

Verified date March 2023
Source Renmin Hospital of Wuhan University
Contact Honggang Yu, phD
Phone 13871281899
Email yuhonggang1969@163.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

In this study, we proposed a prospective study about the effect of the automatic surveillance system on surveillance rate of colorectal postpolypectomy patients. The enrolled patients were divided into group A with intelligent surveillance system, group B with manual reminder, and group C with natural state. The surveillance among the three groups were compared.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 867
Est. completion date December 31, 2029
Est. primary completion date December 31, 2028
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Male or female aged 18 years or older who undergo colonoscopy. Exclusion Criteria: - 1)No pathological result. - 2) No or invalid contact information. - 3) The surveillance interval cannot be determined according to the surveillance guidelines, including poor bowel preparation, colorectal cancer or suspicious malignance, surgery or colorectal ESD history, those who fail to complete colonoscopy due to unbearable, pathological indications of not polyps, hamartoma or lymphoma polyps, history of ulcerative colitis, and so on. - 4) Has participated in other clinical trials, signed the informed consent form and is in the surveillance period of other clinical trials. - 5) Have drug or alcohol abuse or psychological disorder in the past five years. - 6)Pregnancy. - 7)Not suitable for recruitment after investigator evaluation because of other high-risk conditions.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
AI based automatic surveillance (AS) system (ENDOANGEL-AS)
An automatic surveillance (AS) system to accurately identify post-polypectomy patients, assign surveillance intervals for different risks of patients and proactively follow up with patients at certain times.
Manually remind the patients to review.
Medical staff remind patients to review by telephone.

Locations

Country Name City State
China Jiangmen Central Hospital Jiangmen Guangdong
China Renmin Hospital of Wuhan University Wuhan Hubei

Sponsors (2)

Lead Sponsor Collaborator
Renmin Hospital of Wuhan University Jiangmen Central Hospital

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary surveillance rate The numerator is the number of patients with surveillance, and the denominator is the number of all colorectal postpolypectomy patients requiring surveillance. From enrollment to study completion, assessed up to 3 years.
Secondary Advance Surveillance Rate The numerator is the number of patients with surveillance in advance, and the denominator is the number of all colorectal postpolypectomy patients requiring surveillance. From enrollment to study completion, assessed up to 3 years.
Secondary On-time Surveillance Rate The numerator is the number of patients with on-time surveillance, and the denominator is the number of all colorectal postpolypectomy patients requiring surveillance. From enrollment to study completion, assessed up to 3 years.
Secondary Delayed Surveillance Rate The numerator is the number of patients with delayed surveillance, and the denominator is the number of all colorectal postpolypectomy patients requiring surveillance. From enrollment to study completion, assessed up to 3 years.
Secondary The accuracy of identifing post-polypectomy patients The numerator is the number of patients correctly identified into post-polypectomy patients, and the denominator is the number of patients undergoing colonoscopy. At the time of enrollment.
Secondary The accuracy of classifying risk levels The numerator is the number of patients correctly classified by automated surveillance system, and the denominator is the number of all enrolled colorectal postpolypectomy patients. At the time of enrollment.
Secondary The accuracy of assigning surveillance intervals The numerator is the number of patients correctly assigned by automated surveillance system, and the denominator is the number of all enrolled colorectal postpolypectomy patients. At the time of enrollment.
Secondary lesion progression rate The numerator is the number of patients with lesion progression, and the denominator is the number of all surveillance colorectal postpolypectomy patients. From enrollment to study completion, assessed up to 3 years.
Secondary lesion persistence rate The numerator is the number of patients with lesion persistence, and the denominator is the number of all surveillance colorectal postpolypectomy patients. From enrollment to study completion, assessed up to 3 years.
Secondary lesion regression rate The numerator is the number of patients with lesion regression, and the denominator is the number of all surveillance colorectal postpolypectomy patients. From enrollment to study completion, assessed up to 3 years.
Secondary The incidence rate of colorectal cancer The numerator is the number of patients with colorectal cancer in surveillance colonoscopy, and the denominator is the number of all surveillance colorectal postpolypectomy patients. From enrollment to study completion, assessed up to 3 years.
See also
  Status Clinical Trial Phase
Completed NCT04589078 - Polyp REcognition Assisted by a Device Interactive Characterization Tool - The PREDICT Study
Completed NCT03857438 - Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
Completed NCT04735055 - Artificial Intelligence Prediction for the Severity of Acute Pancreatitis
Not yet recruiting NCT05452993 - Screening for Diabetic Retinopathy in Pharmacies With Artificial Intelligence Enhanced Retinophotography N/A
Not yet recruiting NCT04337229 - Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques N/A
Completed NCT05687318 - A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment N/A
Recruiting NCT06051682 - Optimization of the Diagnosis of Bone Fractures in Patients Treated in the Emergency Department by Using Artificial Intelligence for Reading Radiological Images in Comparison With Traditional Reading by the Emergency Doctor. N/A
Not yet recruiting NCT06039917 - Effect of the Automatic Surveillance System on Surveillance Rate of Patients With Gastric Premalignant Lesions N/A
Not yet recruiting NCT06362629 - AI App for Management of Atopic Dermatitis N/A
Recruiting NCT06164002 - A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials N/A
Recruiting NCT06059378 - Real-life Implementation of an AI-based Optical Diagnosis N/A
Completed NCT05517889 - Repeatability and Stability of Healthy Skin Features on OCT
Completed NCT04816981 - AI-EBUS-Elastography for LN Staging N/A
Completed NCT05006092 - Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE) N/A
Recruiting NCT04535466 - Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Enrolling by invitation NCT04719117 - Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety
Completed NCT04399590 - Comparing the Number of False Activations Between Two Artificial Intelligence CADe Systems: the NOISE Study
Recruiting NCT04126265 - Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps N/A
Recruiting NCT06255808 - Development of Assist Tool for Breast Examination Using the Principle of Ultrasonic Sensor
Recruiting NCT04131530 - Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence