Journal Article

DKFZ-2019-02710

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png External validation of novel MRI-based models for prostate cancer prediction.

Püllen, L. ; Radtke, J. P.DKFZ* ; Wiesenfarth, M.DKFZ* ; Roobol, M. J. ; Verbeek, J. F. M. ; Wetter, A. ; Guberina, N. ; Pandey, A. ; Hüttenbrink, C. ; Tschirdewahn, S. ; Pahernik, S. ; Hadaschik, B. A. ; Distler, F. A.

2020
Wiley-Blackwell39962 Oxford

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Please use a persistent id in citations: doi:10.1111/bju.14958

Abstract: To validate three novel risk models (RM) combining mpMRI and clinical parameters to predict significant prostate cancer (sPC) through an external cohort, including the recently updated European Randomised Study of Screening for PC (ERSPC) risk-calculator.We retrospectively analyzed 307 men who underwent mpMRI prior to transperineal ultrasound fusion biopsy between 10/2015 and 07/2018 at two German centers. mpMRI was rated by PI-RADSv2.0 and sPC was defined as ISUP Gleason grade group ≥2.The prediction performance of the three models (MRI-ERSPC-3/4, RM by Radtke et al. and RM by Distler et al.) were compared using ROC-curve-analyses with area under the curve (AUC), calibration curve analyses and decision curves to assess net-benefit.ROC-AUCs of the three novel models (MRI-ERSPC-3/4; Radtke's RM and Distler's RM were 0.82; 0.85 and 0.83, respectively). Calibration curve analyses showed the best intercept for MRI-ERSPC-3 and -4 of 0.35 and 0.76. Net benefit analyses indicated clear benefit of MRI-ERSPC-3/4-RM compared to the other two validated models. The MRI-ERSPC-RC-3/4 demonstrated a discrimination benefit for a risk threshold of up to 15% for sPC as compared to the other RMs.In our external validation of three novel prostate cancer risk calculators, which include mpMRI-findings in their models, head-to-head comparison of these models indicated that especially MRI-ERSPC-3/4 can help to reduce unnecessary biopsies.

Note: 2020 Mar;125(3):407-416

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Contributing Institute(s):

1. E010 Radiologie (E010)
2. C060 Biostatistik (C060)

Research Program(s):

1. 319H - Addenda (POF3-319H) (POF3-319H)

Appears in the scientific report 2020

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Database coverage:
; BIOSIS Previews ; Current Contents - Clinical Medicine ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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