title: Accuracy of 3-Tesla magnetic resonance imaging for the staging of prostate cancer in comparison to the Partin tables.
abstract: BACKGROUND
  An accurate prediction of final pathological stage is essential for proper patient selection to determine who will experience maximum benefit from radical prostatectomy. In this context, the Partin tables represent one of the most widely used statistical prediction tools.
  
  
  OBJECTIVE
  To compare the accuracy in predicting pathological stage in patients intended for radical prostatectomy between 3-Tesla (T) magnetic resonance imaging (MRI) and the Partin tables in a prospective trial.
  
  
  METHODS
  27 men with staging results from 3T MRI using a phased-array coil were compared in terms of staging accuracy with whole-mount-section histopathologic analyses as the standard of reference. Probabilities for pathological stages were estimated according to the Partin tables. Spearman rank correlation and discriminant analysis were calculated to assess relationships.
  
  
  RESULTS
  Histopathological evaluation revealed organ-confined disease (OC) in 21 (77.8%) and extracapsular extension (ECE) in six (22.2%) men. Three-Tesla MRI staging was accurate in all patients with OC and in four out of the six men with ECE. Accuracy of local staging was 85.2% (23 of 27). Sensitivity was 66.7% (95% confidence interval [CI] 0.223-0.957) and specificity 100% (95% CI 0.839-1) for the detection of ECE. Findings of MRI and the Partin tables showed a Spearman rho of 0.780 vs. 0.254 for OC and 0.780 vs. 0.363 for ECE, respectively. Compared to the Partin tables, MRI revealed standardized canonical discriminant function coefficients of 0.992 (P<0.001) vs. 0.205 (P=0.432) for OC and 0.965 (P<0.001) vs. 0.329 (P=0.197) for ECE, respectively.
  
  
  CONCLUSIONS
  3T MRI showed a high accuracy for the staging of clinically localized prostate cancer, and it was significantly more accurate in predicting the final pathological stage than the Partin tables.
authors.affiliation: Department of Urology, Medical University of Graz, Graz, Austria. herbert.augustin@medunigraz.at
authors.forename: H
authors.initials: H
authors.lastname: Augustin
authors.forename: G A
authors.initials: GA
authors.lastname: Fritz
authors.forename: T
authors.initials: T
authors.lastname: Ehammer
authors.forename: M
authors.initials: M
authors.lastname: Auprich
authors.forename: K
authors.initials: K
authors.lastname: Pummer
mesh_terms: D019540:Area Under Curve; D016002:Discriminant Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009367:Neoplasm Staging / Q000379:methods / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D011471:Prostatic Neoplasms / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity