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Application of deep learning in the identification and prognosis of benign and malignant lesions of prostate

Application of deep learning in the identification and prognosis of benign and malignant lesions of prostate

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105499
Enrollment
Unknown
Registered
2025-07-04
Start date
2025-07-14
Completion date
Unknown
Last updated
2025-07-07

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

Conditions

Prostate cancer

Interventions

Case series:none

Sponsors

The Third People's Hospital of Mianyang
Lead Sponsor

Eligibility

Sex/Gender
Male

Inclusion criteria

Inclusion criteria: (1) Routine detection of serum prostate specific antigen (PSA) levels before surgery; (2) Standard multi-parameter magnetic resonance imaging before surgery; (3) No clinical treatment of prostate disease was performed before MRI examination; (4) Pathological biopsy was performed within 1 month of MRI examination to confirm the diagnosis of prostate cancer.Cancer, and all have a clear Gleason score.

Exclusion criteria

Exclusion criteria: (1) Large motion artifacts and poor MRI image quality; (2) Combined with the medical history of other tumors.

Design outcomes

Primary

MeasureTime frame
prostate gleason grades;Accuracy;Area Under the Curve;95% Confidence Interval;—

Secondary

MeasureTime frame
Clinical data;—

Countries

China

Contacts

Public ContactFan Li

The Third People's Hospital of Mianyang

lifan1788@126.com+86 187 8113 0558

Outcome results

None listed

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