Hybrid Intelligence for Trustable Diagnosis and Patient Management of Prostate Cancer (HIT-PIRADS)
Northwestern University
Summary
The purpose of this study is to develop a new way to diagnose prostate cancer through the use of artificial intelligence. The goal is for this new method to reduce delays in diagnoses and to avoid invasive procedures such as biopsies.
Description
The overall goal of this project is to create a diagnosis and patient management strategy (called HIT-PIRADS) for prostate cancer (PCa) that will significantly increase positive predictive value (PPV) for clinically significant PCa detection while minimizing unnecessary prostate biopsies and related morbidities. Due to its interpretable nature and bias correction paradigm, the AI system will generate predictions that physicians can trust. One of the immediate outcomes of the system will be a reproducible risk scoring system that can be used in community hospitals and locales without MRI-subspe…
Eligibility
- Age range
- 18–89 years
- Sex
- Male
- Healthy volunteers
- No
Inclusion Criteria: * Elevated PSA (4.0-10.0 ng/ml) or abnormal digital rectal exam with PSA of 2.00-10.00 ng/ml as indicated in the patient's lab report. * Patients must be biopsy naïve, confirmed with patient or medical record. * Patients must be male, ≥18 and ≤ 89 years of age. * Patient must have a life expectancy ≥10 years, determined by PI. * Patients must exhibit an ECOG performance status of 0-2, as noted in their medical record. Exclusion Criteria: * Patients who are on a 5-α-reductase inhibitor within 12 months of enrollment, as confirmed by medical record. * Patients who have had…
Location
- National Institutes of HealthBethesda, Maryland