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Artificial Intelligence & Prostate Cancer
Sponsor: IRCCS San Raffaele
Summary
This is a single center, blinded (the mpMRI will be read by expert personnel not aware of the patient's diagnosis ), retrospective study. A total of 200 patients with suspicious prostate cancer (PCa) who underwent, between January 2014 and January 2022, mpMRI of the prostate and subsequent prostate biopsy will identified. All mpMRI images will be retrospectively collected and evaluated using the Quantib Prostate software. In particular, 200 mpMRI with endorectal coil will be read by the expert radiologist and by the Quantib prostate (Quantib B.V. Rotterdam, The Netherlands) software, thus evaluating the predictive characteristics of Quantib Prostate for the identification of suspicious lesions. The sensitivity, specificity, negative predictive value, positive predictive value and accuracy of Quantib Prostate vs. radiologist in detecting csPCa will be evaluated using the biopsy report as reference standard.
Official title: The Role of Artificial Intelligence in the Assessment of Multiparametric Resonance of the Prostate in Prostate Cancer Patients
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2023-03-08
Completion Date
2024-09-02
Last Updated
2026-05-18
Healthy Volunteers
Not specified
Conditions
Interventions
Quantib prostate (Quantib B.V. Rotterdam, The Netherlands) software
Quantib Prostate is an AI-driven solution that provides an intuitive workflow for assessment of prostate MRI. The product integrates essential prostate MRI reading features into one workflow making it easy for the user to read, assess and report each patient case from within the same software interface. With automatic forwarding in place, the software preprocesses the MRI right after scanning. This allows the user to access calculations and analysis immediately when they open the software interface. Thanks to these features, the professional may experience an accelerated workflow, making it easier to manage their heavier workload.
Locations (1)
IRCCS Ospedale San Raffaele
Milan, MI, Italy