External Validation of the Updated Partin Tables in a Cohort of French and Italian Men

Naeem Bhojani, Laurent Salomon, Umberto Capitanio, Nazareno Suardi, Shahrokh F. Shariat, Claudio Jeldres, Laurent Zini, Daniel Pharand, François Péloquin, Philippe Arjane, Claude C. Abbou, Alexandre De La Taille, Francesco Montorsi, Pierre I. Karakiewicz

Research output: Contribution to journalArticlepeer-review


Purpose: To test the discrimination and calibration properties of the newly developed 2007 Partin Tables in two European cohorts with localized prostate cancer. Methods: Data on clinical and pathologic characteristics were obtained for 1,064 men treated with radical prostatectomy at the Creteil University Health Center in France (n = 839) and at the Milan University Vita-Salute in Italy (n = 225). Overall discrimination was assessed with receiver operating characteristic curve analysis, which quantified the accuracy of stage predictions for each center. Calibration plots graphically explored the relationship between predicted and observed rates of extracapsular extension (ECE), seminal vesicle invasion (SVI) and lymph node invasion (LNI). Results: The rates of ECE, SVI, and LNI were 28%, 14%, and 2% in the Creteil cohort vs. 11%, 5%, and 5% in the Milan cohort. In the Creteil cohort, the accuracy of ECE, SVI, and LNI prediction was 61%, 71%, and 82% vs. 66%, 92% and 75% for the Milan cohort. Important departures were recorded between Partin Tables' predicted and observed rates of ECE, SVI, and LNI within both cohorts. Conclusions: The 2007 Partin Tables demonstrated worse performance in European men than they originally did in North American men. This indicates that predictive models need to be externally validated before their implementation into clinical practice.

Original languageEnglish
Pages (from-to)347-352
Number of pages6
JournalInternational Journal of Radiation Oncology Biology Physics
Issue number2
Publication statusPublished - Feb 1 2009


  • Prognosis
  • Prostate cancer
  • Staging

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation


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