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Recruiting NCT06773832

NCT06773832 AI in Predicting Polyp Pathology and Endoscopic Classification

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Clinical Trial Summary
NCT ID NCT06773832
Status Recruiting
Phase
Sponsor Peking Union Medical College Hospital
Condition Colorectal Polyps
Study Type OBSERVATIONAL
Enrollment 400 participants
Start Date 2025-01
Primary Completion 2026-12

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
Real-time Artificial Intelligence Model for Diagnosing Colorectal Polyp Pathology and Endoscopic Classification

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 400 participants in total. It began in 2025-01 with a primary completion date of 2026-12.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

Background: Colonoscopy with optical diagnosis based on the appearance of polyps can guide the selection of endoscopic treatment methods, reduce unnecessary polypectomy procedures and the need for tissue pathological diagnosis, and formulate follow-up strategies in a timely manner \[1\]. This approach significantly alleviates the economic burden on patients and the healthcare system and can effectively ease the tension on clinical resources \[2\]. Various endoscopic polyp classification methods, including Pit Pattern \[3\], NICE \[4\], WASP \[5\], and MS \[6\], are used to determine pathological types. However, mastering these classification methods requires endoscopists to undergo extensive training, and due to the inherent flaws in each method, no single endoscopic classification method can accurately diagnose all types of polyps to meet the requirements of optical diagnosis. This limitation has hindered the widespread application of optical diagnosis in clinical practice \[7\]. The application of artificial intelligence technology in this field, known as computer-aided diagnosis (CADx), has seen rapid development in recent years. Numerous large-scale, prospective studies have demonstrated that the accuracy of CADx technology for optical diagnosis of minute lesions (\<5mm) has essentially met the threshold set by European and American endoscopy societies for optical diagnosis \[8,9\]. However, the diagnostic efficacy of CADx for polyps ≥5mm remains unclear. Moreover, current research is mostly limited to distinguishing between common adenomas and hyperplastic polyps, with little attention given to serrated lesions, which are also precancerous lesions and progress even more rapidly, and are more challenging for endoscopists to assess. These reasons prevent CADx from being widely applied in clinical practice for real-time accurate judgment of polyp pathological types.

Eligibility Criteria

Inclusion Criteria: 1. Outpatients or inpatients undergoing routine colonoscopy screening at the endoscopy centers of multicenter hospitals; 2. Aged 18 years or older; 3. Have understanding of the study content and have signed the informed consent form. Exclusion Criteria: 1. Gastroparesis or gastric outlet obstruction; 2. Known or suspected intestinal obstruction or perforation; 3. Severe chronic renal failure (creatinine clearance less than 30 mL/minute); 4. Severe congestive heart failure (New York Heart Association Class III or IV); 5. Currently pregnant or breastfeeding; 6. Toxic colitis or megacolon; 7. Poorly controlled hypertension (systolic blood pressure greater than 180 mmHg and/or diastolic blood pressure greater than 100 mmHg); 8. Moderate or massive active gastrointestinal bleeding (\>100 mL/day); 9. Significant psychiatric or psychological illness; 10. Allergy to medications used for bowel preparation; 11. Patients who have undergone colorectal surgery.

Contact & Investigator

Central Contact

Wenmo Hu, MD

✉ huwenmo1995@126.com

📞 86+15101581963

Principal Investigator

Dong Wu, MD

PRINCIPAL INVESTIGATOR

Peking Union Medical College Hospital

Frequently Asked Questions

Who can join the NCT06773832 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Colorectal Polyps. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06773832 currently recruiting?

Yes, NCT06773832 is actively recruiting participants. Contact the research team at huwenmo1995@126.com for enrollment information.

Where is the NCT06773832 trial being conducted?

This trial is being conducted at Beijing, China.

Who is sponsoring the NCT06773832 clinical trial?

NCT06773832 is sponsored by Peking Union Medical College Hospital. The principal investigator is Dong Wu, MD at Peking Union Medical College Hospital. The trial plans to enroll 400 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology