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

RECRUITINGSponsored by IRCCS Azienda Ospedaliero-Universitaria di Bologna
Actively Recruiting
SponsorIRCCS Azienda Ospedaliero-Universitaria di Bologna
Started2024-05-21
Est. completion2028-10
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06773598

Summary

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

Eligibility

Age: 18 Years+Healthy volunteers accepted
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.)

Conditions2

CancerProstate Cancer

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