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Artificial Intelligent recognition of colorectal polyps by electronic staining endoscopy in children: a diagnostic test.

Pediatric colorectal polyp care

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000033837
Enrollment
Unknown
Registered
2020-06-14
Start date
2020-08-01
Completion date
Unknown
Last updated
2020-06-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pediatric colorectal polyps

Interventions

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manifestations

Sponsors

Xi'an Children's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1. Children aged 0 ~ 18 years who underwent colonoscopy and diagnosed with colorectal polyps 2. Children with complete clinical data, including clear picture data of colonoscopy, histopathology of polyp, etc; 3. The informed consent (including the informed consent for colonoscopy, biopsy and endoscopic polypectomy) was signed by the parents of the children.

Exclusion criteria

Exclusion criteria: 1. Patients with cardiopulmonary disease or other serious basic diseases; 2. Patients with acute active intestinal inflammatory disease; 3. Patients with Peutz-Jeghers Syndrome (PJS); 4. Patients with coagulation dysfunction and bleeding tendency; 5. Patients with severe spinal deformity; 6. Patients with poor compliance; 7. Patients who are participating in other clinical observation trials or have participated in other clinical trials within 60 days; 8. Patients who are not suitable for clinical study according to clinical researchers.

Design outcomes

Primary

MeasureTime frame
The sensitivity of AI-assisted endoscopic recognition system for polyp nature diagnosis;Specificity of AI assisted endoscopic recognition system for polyp property diagnosis;Accuracy of AI assisted endoscopic recognition system in polyp nature diagnosis;Positive predictive value of AI-assisted endoscopic recognition system for polyp nature diagnosis;Negative predictive value of AI-assisted endoscopic recognition system for polyp nature diagnosis;

Countries

China

Contacts

Public ContactYing Fang

Xi'an Children's Hospital

970910576@qq.com+86 18602907819

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026