Abnormal findings on multiparametric prostate magnetic resonance imaging predict subsequent biopsy upgrade in patients with low risk prostate cancer managed with active surveillance - Abstract

PURPOSE: To determine the ability of multiparametric MR imaging to predict disease progression in patients with prostate cancer managed by active surveillance.

METHODS: Sixty-four men with biopsy-proven prostate cancer managed by active surveillance were included in this HIPPA compliant, IRB approved study. We reviewed baseline MR imaging scans for the presence of a suspicious findings on T2-weighted imaging, MR spectroscopic imaging (MRSI), and diffusion-weighted MR imaging (DWI). The Gleason grades at subsequent biopsy were recorded. A Cox proportional hazard model was used to determine the predictive value of MR imaging for Gleason grades, and the model performance was described using Harrell's C concordance statistic and 95% confidence intervals (CIs).

RESULTS: The Cox model that incorporated T2-weighted MR imaging, DWI, and MRSI showed that only T2-weighted MR imaging and DWI are independent predictors of biopsy upgrade (T2; HR = 2.46; 95% CI 1.36-4.46; P = 0.003-diffusion; HR = 2.76; 95% CI 1.13-6.71; P = 0.03; c statistic = 67.7%; 95% CI 61.1-74.3). There was an increasing rate of Gleason score upgrade with a greater number of concordant findings on multiple MR sequences (HR = 2.49; 95% CI 1.72-3.62; P < 0.001).

CONCLUSIONS: Abnormal results on multiparametric prostate MRI confer an increased risk for Gleason score upgrade at subsequent biopsy in men with localized prostate cancer managed by active surveillance. These results may be of help in appropriately selecting candidates for active surveillance.

Written by:
Flavell RR, Westphalen AC, Liang C, Sotto CC, Noworolski SM, Vigneron DB, Wang ZJ, Kurhanewicz J.   Are you the author?
Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-372, Box 0628, San Francisco, CA, USA.

Reference: Abdom Imaging. 2014 Apr 17. Epub ahead of print.
doi: 10.1007/s00261-014-0136-7


PubMed Abstract
PMID: 24740760

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