Multi-center Validation of a Deep Learning Based Bowel Preparation Evaluation System

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

1400 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-10-09

Study Completion Date

2020-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

A deep learning based system to calculate the proportion of Boston Bowel Prep Scale (BBPS) score of 0-1 during withdrawal phase has been constructed previously. This multi-center study is going to perform a prospective observational study to validate the threshold of the adequate proportion.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Multi-center and Multi-modal Deep Learning Study of Gastric Cancer

NCT05001321

Stomach Neoplasms

UNKNOWN

Predicting the Efficacy of Neoadjuvant Therapy in Patients With Locally Advanced Rectal Cancer Using an AI Platform Based on Multi-parametric MRI

NCT05523245

Rectal Cancer

RECRUITING

Post Radiotherapy MRI Based AI System to Predict Radiation Proctitis for Pelvic Cancers

NCT04918992

Pelvic Cancer

UNKNOWN

AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy

NCT06035250

Gastric Cancer Image Pathology

RECRUITING

Post-Neoadjuvant Treatment MRI Based AI System to Predict pCR for Rectal Cancer

NCT04278274

Rectal Cancer

UNKNOWN

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Inadequate bowel preparation is insufficient for identification of polyps greater than 5 mm. However, bowel preparation assessment involved subjectivity and uncertainty. We constructed a deep learning based system to calculate the proportion of Boston Bowel Prep Scale (BBPS) score of 0-1 during withdrawal phase and performed a prospective observational study to validate the threshold of the adequate proportion.The multi-center study is aimed to verify the extrapolation and robustness of the scoring threshold based on artificial intelligence intestinal cleanliness evaluation system explored in the early stage, and propose a more accurate and quantifiable threshold for evaluating the eligibility of intestinal preparation.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Adenoma Bowel Preparation

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CROSSOVER

Study Time Perspective

CROSS_SECTIONAL

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Observational group

Patients received bowel preparation and colonoscopy. The withdrawal phase video was saved and their lesions detection was record.

Observational group

Intervention Type OTHER

Patient receive the standard bowel preparation strategy and routine colonoscopy

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Observational group

Patient receive the standard bowel preparation strategy and routine colonoscopy

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Male or female aged 18 years or above;
* Ability to read, understand and sign informed consent forms;
* The researchers believe that the subjects can understand the process of the clinical study and are willing and able to complete all the study procedures and follow-up visits to cooperate with the study procedures.

Exclusion Criteria

* Patients with contraindications to colonoscopy (obstruction or perforation, severe acute inflammatory bowel disease, toxic megacolon, severe heart failure, severe heart failure, etc.);
* Patients with galactosemia;
* Pregnant or lactating women;
* Patients used lactulose, a stimulant, or laxative within 7 days;
* Patients refused to sign informed consent forms.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes