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A prognostic assessment system for colorectal cancer based on digital pathology imaging and deep learning methodologies

A prognostic assessment system for colorectal cancer based on digital pathology imaging and deep learning methodologies

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089249
Enrollment
Unknown
Registered
2024-09-04
Start date
2024-09-08
Completion date
Unknown
Last updated
2024-09-09

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

Conditions

Colorectal Cancer

Interventions

trainning set :None
validation set:None
testing set:None

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: (1) Stage II or III colorectal cancer; (2) radical surgery; (3) Follow-up for 3 years.

Exclusion criteria

Exclusion criteria: (1) Non-curative surgery; (2) death due to other causes (non-bowel cancer-related) within 3 years; (3) Lost to follow-up within 3 years.

Design outcomes

Primary

MeasureTime frame
disease-specific survival;—

Countries

China

Contacts

Public ContactDan Jiang

Department of Pathology, West China Hospital, Sichuan University

danjiang@scu.edu.cn+86 189 8060 0875

Outcome results

None listed

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