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Prospective Multicentre Evaluation of an AI-Based Prostate MRI Analysis Tool for the Detection of Clinically Significant Prostate Cancer Using Histopathology as Reference Standard

Prospective Multicentre Evaluation of an AI-Based Prostate MRI Analysis Tool for the Detection of Clinically Significant Prostate Cancer Using Histopathology as Reference Standard

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00041150
Enrollment
240
Registered
2026-07-29
Start date
2026-09-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

C61

Interventions

Group 1: Patients with suspected prostate cancer will be recruited during routine clinical care at the participating urology departments. After providing written informed consent, all participants wil

Sponsors

Universitätsklinikum Düsseldorf
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Consecutive patients with suspected prostate cancer scheduled for prostate mpMRI and potential biopsy according to current guidelines. Patients will be recruited in the department of urology at the different study sites.

Exclusion criteria

Exclusion criteria: Non-interpretable examinations (PI-QUAL 1). Patients who have undergone surgery or radiotherapy for prostate cancer. Discrepancies and incorrect MR report (filtered out by expert). No signed informed consent. Contraindication for MRI or biopsy.

Design outcomes

Primary

MeasureTime frame
The primary endpoint is the diagnosis of clinically significant prostate cancer (csPCa) (ISUP Grade Group = 2) based on a PI-RADS score = 3, using the histopathological results of the subsequent biopsy as the reference standard.

Secondary

MeasureTime frame
The secondary endpoint is the number of clinically significant prostate cancers detected in comparison with the PI-RADS classification.

Countries

Germany

Contacts

Public ContactMatthias Boschheidgen

Universitätsklinikum Düsseldorf

matthias.boschheidgen@med.uni-duesseldorf.de+492118117752

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Aug 10, 2026