Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer

Recruiting now

Conditions studied: Prostate Cancer

In brief

The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging). To be validated the model should be evaluated on: * Specificity (SP): is the probability of a negative test result, conditioned on the individual truly being negative * Sensitivity (SN): is the probability of a positive test result, conditioned on the individual truly being positive

Key facts

Study ID

NCT06773598

Run by

IRCCS Azienda Ospedaliero-Universitaria di Bologna

People needed

1100

Starts

2024-05-21

Expected to finish

2028-11-01

Last updated by the study team

2025-01-14

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Participants aged 18 at the time of examination
• Obtaining informed consent
• Presence of one or more lesions classified as PI-RADSv2.1 ≥ 1 at a prostate RMmp at the IRCCS Azienda Ospedaliero-Universitaria in Bologna
• Indication for TRUS biopsy by fusion technique integrated with systematic biopsy at the IRCCS Azienda Ospedaliero-Universitaria in Bologna

You may not qualify if…

• Previous prostate surgery or hormone therapy
• Technically sub-optimal investigations for the presence of artifacts (hip prosthesis, movement of the endorectal probe, etc.)

Where it is running

• IRCCS Azienda Ospedaliero-Universitaria di Bologna — Bologna, Italy (enrolling)

Full record on ClinicalTrials.gov

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