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

NCT06773598 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1100

Last updated 2025-01-14

No results posted yet for this study

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

Conditions

Sponsors & Collaborators

  • IRCCS Azienda Ospedaliero-Universitaria di Bologna

    lead OTHER

Principal Investigators

  • Caterina Gaudiano, MD · IRCCS Azienda Ospedaliero-Universitaria di Bologna

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-21
Primary Completion
2028-10-31
Completion
2028-11-30

Countries

  • Italy

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06773598 on ClinicalTrials.gov