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Development and validation of pathology-based artificial intelligence diagnostic model for lymph node metastasis of bladder cancer

Development and validation of pathology-based artificial intelligence diagnostic model for lymph node metastasis of bladder cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200061501
Enrollment
Unknown
Registered
2022-06-27
Start date
2022-07-01
Completion date
Unknown
Last updated
2023-04-03

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

Conditions

Bladder cancer

Interventions

Gold Standard:Pathologic diagnosis
Index test:Artificial&#32
intelligence&#32
diagnosis

Sponsors

Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with bladder cancer underwent radical cystectomy + pelvic lymph node dissection; 2. Complete clinical and pathological data.

Exclusion criteria

Exclusion criteria: 1. Complicated with other tumors; 2. Incomplete clinical and pathological data.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactLin Tianxin

Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University

lintx@mail.sysu.edu.cn+86 13724008338

Outcome results

None listed

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