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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03712059
Other study ID # NCPC
Secondary ID
Status Completed
Phase
First received
Last updated
Start date November 1, 2018
Est. completion date September 30, 2020

Study information

Verified date December 2021
Source Changhai Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Completed
Enrollment 12000
Est. completion date September 30, 2020
Est. primary completion date August 30, 2020
Accepts healthy volunteers No
Gender All
Age group 18 Years to 75 Years
Eligibility 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.

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
FIT 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.
Polypectomy 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.
Classification
Pathology of polyps is classified by endoscopists through NICE principle and the performance of classification between endoscopists and computer is compared.

Locations

Country Name City State
China Changhai Hospital, Second Military Medical University Shanghai

Sponsors (2)

Lead Sponsor Collaborator
Changhai Hospital 175 medical centers in China

Country where clinical trial is conducted

China, 

References & Publications (15)

Chiu HM, Ching JY, Wu KC, Rerknimitr R, Li J, Wu DC, Goh KL, Matsuda T, Kim HS, Leong R, Yeoh KG, Chong VH, Sollano JD, Ahmed F, Menon J, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. A Risk-Scoring System Combined With a Fecal Immunochemical Test Is Effective in Screening High-Risk Subjects for Early Colonoscopy to Detect Advanced Colorectal Neoplasms. Gastroenterology. 2016 Mar;150(3):617-625.e3. doi: 10.1053/j.gastro.2015.11.042. Epub 2015 Nov 25. — View Citation

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017 Feb 2;542(7639):115-118. doi: 10.1038/nature21056. Epub 2017 Jan 25. Erratum in: Nature. 2017 Jun 28;546(7660):686. — View Citation

Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216. — View Citation

Gupta N, Bansal A, Rao D, Early DS, Jonnalagadda S, Wani SB, Edmundowicz SA, Sharma P, Rastogi A. Prevalence of advanced histological features in diminutive and small colon polyps. Gastrointest Endosc. 2012 May;75(5):1022-30. doi: 10.1016/j.gie.2012.01.020. Epub 2012 Mar 9. — View Citation

Hassan C, Pickhardt PJ, Kim DH, Di Giulio E, Zullo A, Laghi A, Repici A, Iafrate F, Osborn J, Annibale B. Systematic review: distribution of advanced neoplasia according to polyp size at screening colonoscopy. Aliment Pharmacol Ther. 2010 Jan 15;31(2):210-7. doi: 10.1111/j.1365-2036.2009.04160.x. Epub 2009 Oct 8. Review. — View Citation

Hassan C, Pickhardt PJ, Rex DK. A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening. Clin Gastroenterol Hepatol. 2010 Oct;8(10):865-9, 869.e1-3. doi: 10.1016/j.cgh.2010.05.018. Epub 2010 Jun 1. — View Citation

Hayashi N, Tanaka S, Hewett DG, Kaltenbach TR, Sano Y, Ponchon T, Saunders BP, Rex DK, Soetikno RM. Endoscopic prediction of deep submucosal invasive carcinoma: validation of the narrow-band imaging international colorectal endoscopic (NICE) classification. Gastrointest Endosc. 2013 Oct;78(4):625-32. doi: 10.1016/j.gie.2013.04.185. Epub 2013 Jul 30. — View Citation

Hewett DG, Kaltenbach T, Sano Y, Tanaka S, Saunders BP, Ponchon T, Soetikno R, Rex DK. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology. 2012 Sep;143(3):599-607.e1. doi: 10.1053/j.gastro.2012.05.006. Epub 2012 May 15. — View Citation

McGill SK, Evangelou E, Ioannidis JP, Soetikno RM, Kaltenbach T. Narrow band imaging to differentiate neoplastic and non-neoplastic colorectal polyps in real time: a meta-analysis of diagnostic operating characteristics. Gut. 2013 Dec;62(12):1704-13. doi: 10.1136/gutjnl-2012-303965. Epub 2013 Jan 7. — View Citation

Pohl H, Srivastava A, Bensen SP, Anderson P, Rothstein RI, Gordon SR, Levy LC, Toor A, Mackenzie TA, Rosch T, Robertson DJ. Incomplete polyp resection during colonoscopy-results of the complete adenoma resection (CARE) study. Gastroenterology. 2013 Jan;144(1):74-80.e1. doi: 10.1053/j.gastro.2012.09.043. Epub 2012 Sep 25. Erratum in: Gastroenterology. 2021 Oct;161(4):1347. — View Citation

Pohl H. Polyp resection - lessons learned. Endoscopy. 2013 Dec;45(12):1030-1. doi: 10.1055/s-0033-1358830. Epub 2013 Nov 28. — View Citation

Rees CJ, Rajasekhar PT, Wilson A, Close H, Rutter MD, Saunders BP, East JE, Maier R, Moorghen M, Muhammad U, Hancock H, Jayaprakash A, MacDonald C, Ramadas A, Dhar A, Mason JM. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut. 2017 May;66(5):887-895. doi: 10.1136/gutjnl-2015-310584. Epub 2016 Apr 19. — View Citation

Sung JJ, Ng SC, Chan FK, Chiu HM, Kim HS, Matsuda T, Ng SS, Lau JY, Zheng S, Adler S, Reddy N, Yeoh KG, Tsoi KK, Ching JY, Kuipers EJ, Rabeneck L, Young GP, Steele RJ, Lieberman D, Goh KL; Asia Pacific Working Group. An updated Asia Pacific Consensus Recommendations on colorectal cancer screening. Gut. 2015 Jan;64(1):121-32. doi: 10.1136/gutjnl-2013-306503. Epub 2014 Mar 19. — View Citation

Wong MC, Lam TY, Tsoi KK, Hirai HW, Chan VC, Ching JY, Chan FK, Sung JJ. A validated tool to predict colorectal neoplasia and inform screening choice for asymptomatic subjects. Gut. 2014 Jul;63(7):1130-6. doi: 10.1136/gutjnl-2013-305639. Epub 2013 Sep 17. — View Citation

Yeoh KG, Ho KY, Chiu HM, Zhu F, Ching JY, Wu DC, Matsuda T, Byeon JS, Lee SK, Goh KL, Sollano J, Rerknimitr R, Leong R, Tsoi K, Lin JT, Sung JJ; Asia-Pacific Working Group on Colorectal Cancer. The Asia-Pacific Colorectal Screening score: a validated tool that stratifies risk for colorectal advanced neoplasia in asymptomatic Asian subjects. Gut. 2011 Sep;60(9):1236-41. doi: 10.1136/gut.2010.221168. Epub 2011 Mar 14. — View Citation

* Note: There are 15 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Detection of colorectal neoplasia 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 24 hours
Secondary Complete resection rate of polypectomy 24 hours
Secondary Specificity and sensitivity of endoscopists and artificial intelligence-assisted system in classifying polyps 24 hours
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