Colorectal Polyp
Conditions
Keywords
Colorectal neoplasia, Polypectomy, Artificial intelligence
Brief summary
This study has three main purposes：screening: the first purpose is to evaluate the diagnostic value of combintion of the life risk factors and immunochemical fecal occult blood test (FIT) on detection of colorectal neoplasia in Chinese population; resection: the second objective is to investigate the complete resection rate of colorectal adenoma and risk factors of incomplete resection in China; identification and classification: the third objective is to initially establish an artificial intelegence-assissted recognition and classification system of polyp based on deep learning.
Detailed description
This study is a multi-center cross-sectional survey and diagnostic test led by the National Clinical Research Center for Digestive Disease (Shanghai) (Department of Gastroenterology, Changhai Hospital, Naval Medical University), which is conducted at about 175 digestive endoscopy centers nationwide in China, with the expectation of including 12,000 patients (10,000 screenig and 2,000 adenoma resection). The basic characteristics of patients, bowel preparation method and quality, and related information of colonoscopy are recorded in detail. According to the research purpose, the whole project can be divided into three sections. 1. Screening section: All patients receive FIT test and colonoscopy, whose age, sex, family history, smoking history, body mass index (BMI), diabetes and other risk factors are collected by researchers through pad, equipped with a specially designed database and app. Using colonoscopy results as the gold standard, the risk prediction model for the Chinese population is explored, and the optimal strategy of colonoscopy practice for the Chinese established initially. 2. Resection section: During the polypectomy, for all pathologically confirmed or NBI-predicted adenomas with size\<10mm, 1-2 biopsies were randomly performed on the edge after resection to determine the completion rate of the polypectomy. 3. Identification and classification section: For Patients regardless of cancer diagnosis or polypectomy, if there is polyp, observation of narrow band imaging (NBI) with or without magnification is required, with 4 white light and NBI images collected and reserved, respectively. If there is magnifying endoscopy, another 4 endoscopic images of magnification are also required. Endoscopists are invited to predict the pathology of polyps according to the NBI International Colorectal Endoscopic (NICE) classification principle and endoscopic images, and upload the pathological results and endoscopic images within 2-4 week after colonoscopy.
Interventions
DIAGNOSTIC_TESTFIT test and colonoscopy
All included patients received FIT test and then colonoscopy, with the risk factors of CRC recorded. The diagnostic performance of predicting model (based on FIT and risk factors) and colonoscopy were compared.
DIAGNOSTIC_TESTPolypectomy and biopsy
All included patients received polypectomy, and then biopsy is performed on the edge of resection for patients with \< 10 mm adenoma (confirmed by pathology or predicted by NBI images), with the complete resection rate of polyps being calculated.
DIAGNOSTIC_TESTClassification
Pathology of polyps is classified by endoscopists through NICE principle and the performance of classification between endoscopists and computer is compared.
Sponsors
175 medical centers in China
Changhai Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
1. Age between 18 to 75 years old and patients with or without alarming gastrointestinal symptoms were analyzed separately. 2. 3-4 L polyethylene glycol and foaming agent are used for bowel preparation. 3. Withdrawal time ≥6mins (excluding the time of biopsy)
Exclusion criteria
1. A history of acute myocardial infarction (within 6 months), severe heart, liver, kidney dysfunction, or mental illness. 2. Patients taking anticoagulants such as aspirin and warfarin, or who have coagulopathy. 3. Patients with inflammatory bowel disease and colon polyposis. 4. History of colonic procedure (including surgery, polypectomy, EMR, and ESD) in the screening section 5. Diameter of polyp greater than 1cm, lateral developmental lesions (LST), colon cancer, lesions requiring ESD and surgery 6. Patients participating in other clinical trials now or within 60 days. 7. Intestinal obstruction.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Detection of colorectal neoplasia | 24 hours | Colorectal neoplasia included CRCs, adenomas, sessile serrated adenomas/polyps, traditional serrated adenomas/polyps, and hyperplastic polyps ≥10 mm, which were recommended to have a shorter surveillance interval after polypectomy |
Secondary
| Measure | Time frame |
|---|---|
| Complete resection rate of polypectomy | 24 hours |
| Specificity and sensitivity of endoscopists and artificial intelligence-assisted system in classifying polyps | 24 hours |
Countries
China
Outcome results
None listed