RECRUITINGOBSERVATIONAL
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
Validation of a Machine Learning Model Based on Multiparametric MR for the Prediction of Clinically Significant Prostate Cancer
About This Trial
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
Who May Be Eligible (Plain English)
Who May Qualify:
- Participants aged 18 at the time of examination
- Obtaining willing to sign a consent form
- 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
Who Should NOT Join This Trial:
- Previous prostate surgery or hormone therapy
- Technically sub-optimal investigations for the presence of artifacts (hip prosthesis, movement of the endorectal probe, etc.)
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
* 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
Exclusion Criteria:
* Previous prostate surgery or hormone therapy
* Technically sub-optimal investigations for the presence of artifacts (hip prosthesis, movement of the endorectal probe, etc.)
Locations (1)
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Italy