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    Publication Date: 2018-02-14
    Description: Background Partin tables represent the most widely used predictive tool for prostate cancer stage at prostatectomy but with potential limitations. Purpose To develop a new PartinMR model for organ-confined prostate cancer (OCPCA) by incorporating Partin table and mp-MRI with a support vector machine (SVM) analysis. Study Type Retrospective. Population In all, 541 patients with biopsy-confirmed prostate cancer underwent mp-MRI. Field Strength T 2 -weighted, diffusion-weighted imaging with a 3.0T MR scanner. Assessment Candidate predictors included age, prostate-specific antigen, clinical stage, biopsy Gleason score (GS), and mp-MRI findings, ie, tumor location, Prostate Imaging and Reporting and Data System (PI-RADS) score, diameter (D-max), and 6-point MR stage. The PartinMR model with combination of a Partin table and mp-MRI findings was developed using SVM and 5-fold crossvalidation analysis. Statistical Tests The predicted ability of the PartinMR model was compared with a standard Partin and a modified Partin table (mPartin) which used for mp-MRI staging. Statistical tests were made by area under receiver operating characteristic curve (AUC), adjusted proportional hazard ratio (HR), and a cost-effective benefit analysis. Results The rate of OCPCA at prostatectomy was 46.4% (251/541). Using MR staging, mPartin table (AUC, 0.814, 95% confidence interval [CI]: 0.779–0.846, P  = 0.001) is appreciably better than the Partin table (AUC, 0.730, 95% CI: 0.690–0.767). Contrarily, adding all MR variables, the PartinMR model (AUC, 0.891, 95% CI: 0.884–0.899, P  〈 0.001) outperformed any other scheme, with 79.3% sensitivity, 75.7% specificity, 79% positive predictive value, and 76.0% negative predictive value for OCPCA. MR stage represented the most influential predictor of extracapsular extension (HR, 2.77, 95% CI: 1.54–3.33), followed by D-max (2.01, 95% CI: 1.31–2.68), biopsy GS (1.64, 95% CI: 1.35–2.12), and PI-RADS score (1.21, 95% CI: 1.01–1.98). Data Conclusion The new PartinMR model is superior to the conventional Partin table for OCPCA. Clinical implications of mp-MRI for prostate cancer stage must be confirmed in further trials. Level of Evidence : 3 Technical Efficacy : Stage 2 J. Magn. Reson. Imaging 2018.
    Print ISSN: 1053-1807
    Electronic ISSN: 1522-2586
    Topics: Medicine
    Published by Wiley-Blackwell
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