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    • The Added Value of Artificial Intelligence Using Quantib Prostate for the Detection of Prostate Cancer at Multiparametric Magnetic Resonance Imaging.

    Tommaso Russo,Leonardo Quarta,Francesco Pellegrino, Michele Cosenza, Enrico Camisassa, Salvatore Lavalle, Giovanni Apostolo, Paolo Zaurito,Simone Scuderi,Francesco Barletta, Clara Marzorati,Armando Stabile,Francesco Montorsi, Francesco De Cobelli,Giorgio Brembilla,Giorgio Gandaglia,Alberto Briganti

    La radiologia medica（2025）

    IRCCS San Raffaele Scientific Institute

    Cited 0|Views0
    Abstract
    Artificial intelligence (AI) has been proposed to assist radiologists in reporting multiparametric magnetic resonance imaging (mpMRI) of the prostate. We evaluate the diagnostic performance of radiologists with different levels of experience when reporting mpMRI with the support of available AI-based software (Quantib Prostate). This is a single-center study (NCT06298305) involving 110 patients. Those with a positive mpMRI (PI-RADS ≥ 3) underwent targeted plus systematic biopsy (TBx plus SBx), while those with a negative mpMRI but a high clinical suspicion of prostate cancer (PCa) underwent SBx. Three readers with different levels of experience, identified as R1, R2, and R3 reviewed all mpMRI. Inter-reader agreement among the three readers with or without the assistance of Quantib Prostate as well as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy for the detection of clinically significant PCa (csPCa) were assessed. 102 patients underwent prostate biopsy and the csPCa detection rate was 47
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    Key words
    Prostate cancer,Artificial intelligence,mpMRI,Machine learning
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