Irish Journal of Medical Science

, Volume 179, Issue 2, pp 187–195

Novel predictive tools for Irish radical prostatectomy pathological outcomes: development and validation

  • D. M. Fanning
  • F. Yue
  • J. M. Fitzpatrick
  • R. W. G. Watson
Original Article

DOI: 10.1007/s11845-009-0393-6

Cite this article as:
Fanning, D.M., Yue, F., Fitzpatrick, J.M. et al. Ir J Med Sci (2010) 179: 187. doi:10.1007/s11845-009-0393-6



We developed and validated prostate cancer predictive models for Irish patients, allowing individualised predictions of radical prostatectomy pathological outcomes.


Retrospective review of the Irish Prostate Cancer Research Consortium database from 2003 to 2008 was performed. Two predictive models were formulated: a replica of the Partin tables (n = 169) and a look-up table based on PSA and biopsy Gleason Score (n = 253). Clinico-pathological parameters were compared to the Partin data set. Internal validation was performed.


In total, 70% of patients were at clinical stage T1c. 5.8% had a PSA less than 4.1 ng/ml, whereas 25% of the Partin patients had a PSA in this range. Maximal predictive accuracy was seen for seminal vesicle invasion (area under the curve = 72%). Prediction of extra-prostatic extension and lymph node involvement was only equivalent to that of a chance phenomenon.


Our current results do not support the introduction of the formulated predictive models into routine clinical practice.


NomogramPrognosisProstate cancerProstatectomyTumour staging

Copyright information

© Royal Academy of Medicine in Ireland 2009

Authors and Affiliations

  • D. M. Fanning
    • 1
  • F. Yue
    • 1
    • 2
  • J. M. Fitzpatrick
    • 3
  • R. W. G. Watson
    • 1
  1. 1.UCD School of Medicine and Medical Science, Conway Institute of Biomolecular and Biomedical ResearchUniversity College DublinDublin 4Ireland
  2. 2.UCD School of Mathematical SciencesUniversity College DublinDublin 4Ireland
  3. 3.UCD School of Medicine and Medical ScienceMater Misericordiae University HospitalDublin 7Ireland