Actively Recruiting
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
Led by IRCCS Azienda Ospedaliero-Universitaria di Bologna · Updated on 2025-01-14
1100
Participants Needed
1
Research Sites
232 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participants aged 18 at the time of examination
- Obtaining informed consent
- Presence of one or more lesions classified as PI-RADSv2.1 63 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 will not qualify if you...
- Previous prostate surgery or hormone therapy
- Technically sub-optimal investigations for the presence of artifacts (hip prosthesis, movement of the endorectal probe, etc.)
AI-Screening
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Trial Site Locations
Total: 1 location
1
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Italy, 40138
Actively Recruiting
Research Team
C
Caterina Gaudiano, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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