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Building an Artificial Intelligence Model for Prostate Cancer Prediction Based on Multimodal Data

Building an Artificial Intelligence Model for Prostate Cancer Prediction Based on Multimodal Data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600131808
Enrollment
Unknown
Registered
2026-09-07
Start date
2025-08-01
Completion date
Unknown
Last updated
2026-09-14

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

Conditions

Prostate carcinoma

Interventions

Gold Standard:Biopsy pathology
Index test:AI model

Sponsors

Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
45 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Males aged between 45 and 80 years with clinically suspected prostate cancer; 2.Those who underwent prostate magnetic resonance imaging (MRI) at Peking Union Medical College Hospital; 3.Those who underwent prostate ultrasonography at Peking Union Medical College Hospital; 4.Those who underwent prostate-targeted biopsy with or without systematic biopsy at Peking Union Medical College Hospital;

Exclusion criteria

Exclusion criteria: 1.A history of pelvic radiotherapy; 2.A history of transuretheral surgery; 3.Use of novel endocrine drugs or antineoplastic drugs within the past 3 months; 4.Previous diagnosis of prostate cancer; 5.Incomplete imaging or clinical data;

Design outcomes

Primary

MeasureTime frame
The area under the curve;—

Countries

China

Contacts

Public ContactZhien Zhou

Peking Union Medical College Hospital

zhouzhien@sina.com+86 10 6915 2520

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Sep 19, 2026