Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.

Published online

Journal Article

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<0.001). At PI-RADSv2 ≥ 3, CAD improved patient-level specificity (72%) compared to mpMRI-alone (45%, p<0.001). PI-RADSv2 and CAD-assisted mpMRI interpretations have similar sensitivities across multiple sites and readers while CAD has potential to improve specificity and moderately-experienced radiologists' detection of more difficult tumors in the center of the gland. The multi-institutional evidence provided is essential to future prostate MRI and CAD development.

Full Text

Duke Authors

Cited Authors

  • Gaur, S; Lay, N; Harmon, SA; Doddakashi, S; Mehralivand, S; Argun, B; Barrett, T; Bednarova, S; Girometti, R; Karaarslan, E; Kural, AR; Oto, A; Purysko, AS; Antic, T; Magi-Galluzzi, C; Saglican, Y; Sioletic, S; Warren, AY; Bittencourt, L; Fütterer, JJ; Gupta, RT; Kabakus, I; Law, YM; Margolis, DJ; Shebel, H; Westphalen, AC; Wood, BJ; Pinto, PA; Shih, JH; Choyke, PL; Summers, RM; Turkbey, B

Published Date

  • September 18, 2018

Published In

Volume / Issue

  • 9 / 73

Start / End Page

  • 33804 - 33817

PubMed ID

  • 30333911

Pubmed Central ID

  • 30333911

Electronic International Standard Serial Number (EISSN)

  • 1949-2553

Digital Object Identifier (DOI)

  • 10.18632/oncotarget.26100

Language

  • eng

Conference Location

  • United States