Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.
Authors
Gaur, Sonia
Lay, Nathan
Harmon, Stephanie A
Doddakashi, Sreya
Mehralivand, Sherif
Argun, Burak
Bednarova, Sandra
Girometti, Rossanno
Karaarslan, Ercan
Kural, Ali Riza
Oto, Aytekin
Purysko, Andrei S
Antic, Tatjana
Magi-Galluzzi, Cristina
Saglican, Yesim
Sioletic, Stefano
Warren, Anne Y
Bittencourt, Leonardo
Fütterer, Jurgen J
Gupta, Rajan T
Kabakus, Ismail
Law, Yan Mee
Margolis, Daniel J
Shebel, Haytham
Westphalen, Antonio C
Wood, Bradford J
Pinto, Peter A
Shih, Joanna H
Choyke, Peter L
Summers, Ronald M
Turkbey, Baris
Publication Date
2018-09-18Journal Title
Oncotarget
ISSN
1949-2553
Publisher
Impact Journals, LLC
Volume
9
Issue
73
Pages
33804-33817
Language
eng
Type
Article
Physical Medium
Electronic-eCollection
Metadata
Show full item recordCitation
Gaur, S., Lay, N., Harmon, S. A., Doddakashi, S., Mehralivand, S., Argun, B., Barrett, T., et al. (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
Abstract
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.
Keywords
PI-RADSv2, computer-aided diagnosis, multiparametric MRI, prostate cancer, tumor detection
Embargo Lift Date
2100-01-01
Identifiers
External DOI: https://doi.org/10.18632/oncotarget.26100
This record's URL: https://www.repository.cam.ac.uk/handle/1810/282846
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