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A study to evaluate the effectiveness of artificial intelligence system for detecting lymph nodes metastasis of colorectal adenocarcinoma

A prospective, multicenter study on the accuracy of artificial intelligence assisted diagnosis system in detecting lymph nodes metastasis of colorectal adenocarcinoma (NOS)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100050101
Enrollment
Unknown
Registered
2021-08-16
Start date
2021-08-16
Completion date
Unknown
Last updated
2022-04-25

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

Conditions

colorectal adenocarcinoma (NOS)

Interventions

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(NOS).
Gold Standard:The common diagnosis of two or more chief pathologists is used as the reference standard for diagnosis, and the immunohistochemical results are used as the diagnostic standard for contro

Sponsors

The Affiliated Hospital of Qingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. All participants will be enrolled in the diagnostic trial after signing the informed consent. 2. Potential participants are patients considered colorectal cancer in imaging or endoscopic biopsy. 3. The potential participants are patients undergoing tumor resection. 4. Participants will be invited to participate in this diagnostic trial after tumor resection and before pathological diagnosis.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
diagnostic accuracy;

Secondary

MeasureTime frame
area under receiver operating curve;free-response ROC curve;

Countries

China

Contacts

Public ContactJiang Yanxia

The Affiliated Hospital of Qingdao University

chingyx93@126.com+86 18661808213

Outcome results

None listed

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