Novel predictive tools for Irish radical prostatectomy pathological outcomes: development and validation.
OBJECTIVE
We developed and validated prostate cancer predictive models for Irish patients, allowing individualised predictions of radical prostatectomy pathological outcomes.


METHODS
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.


RESULTS
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.


CONCLUSIONS
Our current results do not support the introduction of the formulated predictive models into routine clinical practice.
Fanning
D M
DM
UCD School of Medicine and Medical Science, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland. deirdre.fanning@ucd.ie
Yue
F
F
Fitzpatrick
J M
JM
Watson
R W G
RW
D000328:Adult; D000368:Aged; D019540:Area Under Curve; D016001:Confidence Intervals; D006305:Health Status Indicators; D006801:Humans; D007494:Ireland; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D049451:Nomograms; D011237:Predictive Value of Tests; D011379:Prognosis; D017430:Prostate-Specific Antigen / Q000032:analysis*; D011468:Prostatectomy / Q000379:methods*; D011471:Prostatic Neoplasms / Q000175:diagnosis / Q000473:pathology / Q000601:surgery*; D012372:ROC Curve; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D016896:Treatment Outcome
D017430:Prostate-Specific Antigen