Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.
For prostate cancer detection on prostate multiparametric MRI (mpMRI), the Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) and computer-aided diagnosis (CAD) systems aim to widely improve standardization across radiologists and centers. Our goal was to evaluate CAD assistance in prostate cancer detection compared with conventional mpMRI interpretation in a diverse dataset acquired from five institutions tested by nine readers of varying experience levels, in total representing 14 globally spread institutions. Index lesion sensitivities of mpMRI-alone were 79% (whole prostate (WP)), 84% (peripheral zone (PZ)), 71% (transition zone (TZ)), similar to CAD at 76% (WP, p=0.39), 77% (PZ, p=0.07), 79% (TZ, p=0.15). Greatest CAD benefit was in TZ for moderately-experienced readers at PI-RADSv2 <3 >(84% vs mpMRI-alone 67%, p=0.055). Detection agreement was unchanged but CAD-assisted read times improved (4.6 vs 3.4 minutes, p
Published In/Presented At
Gaur, S., Lay, N., Harmon, S. A., Doddakashi, S., Mehralivand, S., Argun, B., Barrett, T., Bednarova, S., Girometti, R., Karaarslan, E., Kural, A. R., Oto, A., Purysko, A. S., Antic, T., Magi-Galluzzi, C., Saglican, Y., Sioletic, S., Warren, A. Y., Bittencourt, L., Fütterer, J. J., … Turkbey, B. (2018). Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation. Oncotarget, 9(73), 33804–33817. https://doi.org/10.18632/oncotarget.26100
Medicine and Health Sciences
Department of Medicine, Department of Medicine Fellows and Residents, Fellows and Residents