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Can multiparametric MRI replace Roach equations in staging prostate cancer before external beam radiation therapy? | LitMetric

Can multiparametric MRI replace Roach equations in staging prostate cancer before external beam radiation therapy?

Eur J Radiol

Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Azienda Ospedaliero-Universitaria Santa Maria della Misericordia - via Colugna, 50-33100, Udine, Italy. Electronic address:

Published: December 2016

Purpose: To investigate the agreement between Roach equations (RE) and multiparametric magnetic resonance imaging (mpMRI) in assessing the T-stage of prostate cancer (PCa).

Materials And Methods: Seventy-three patients with biopsy-proven PCa and previous RE assessment prospectively underwent mpMRI on a 3.0T magnet before external beam radiation therapy (EBRT). Using Cohen's kappa statistic, we assessed the agreement between RE and mpMRI in defining the T-stage (≥T3 vs.T≤2) and risk category according to the National comprehensive cancer network criteria (≤intermediate vs. ≥high). We also calculated sensitivity and specificity for ≥T3 stage in an additional group of thirty-seven patients with post-prostatectomy histological examination (mpMRI validation group).

Results: The agreement between RE and mpMRI in assessing the T stage and risk category was moderate (k=0.53 and 0.56, respectively). mpMRI changed the T stage and risk category in 21.9% (95%C.I. 13.4-33-4) and 20.5% (95%C.I. 12.3-31.9), respectively, prevalently downstaging PCa compared to RE. Sensitivity and specificity for ≥T3 stage in the mpMRI validation group were 81.8% (95%C.I. 65.1-91.9) and 88.5% (72.8-96.1).

Conclusion: RE and mpMRI show moderate agreement only in assessing the T-stage of PCa, translating into an mpMRI-induced change in risk assessment in about one fifth of patients. As supported by high sensitivity/specificity for ≥T3 stage in the validation group, the discrepancy we found is in favour of mpMRI as a tool to stage PCa before ERBT.

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Source
http://dx.doi.org/10.1016/j.ejrad.2016.10.023DOI Listing

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