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Development and validation of intelligent prediction model for recurrence of bladder cancer based on multimodal

Development and validation of intelligent prediction model for recurrence of bladder cancer based on multimodal

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092874
Enrollment
Unknown
Registered
2024-11-25
Start date
2024-12-01
Completion date
Unknown
Last updated
2024-12-02

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

Conditions

bladder cancer

Interventions

Case series :none

Sponsors

Peking University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.Patients with bladder cancer undergoing radical cystectomy OR TURBT; 2.Confirmed by pathological examination as urothelial carcinoma; 3.Complete postoperative specimens (Formalin Fixed Paraffin Embedded OR Hematoxylin-eosin staining); 4.Perform pelvic enhanced CT scan (including CTU) 20 days before surgery; 5.Complete clinical pathological data and follow-up prognosis results.

Exclusion criteria

Exclusion criteria: 1.The target lesion has undergone biopsy or excision surgery before CT scan; 2.Received preoperative neoadjuvant chemotherapy or radiotherapy before CT scan; 3.Poor quality of pathological sections, such as fading, deformation; 4.Incomplete pathological data; 5.Simultaneously merging with other tumor diseases.

Design outcomes

Primary

MeasureTime frame
Recurrence time;

Countries

China

Contacts

Public ContactShen Zefeng

Peking University Shenzhen Hospital

szefeng120@163.com+86 13922874626

Outcome results

None listed

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