Validation of a Nomogram Predicting the Probability of Lymph Node Invasion among Patients Undergoing Radical Prostatectomy and an Extended Pelvic Lymphadenectomy

Alberto Briganti, Felix K H Chun, Andrea Salonia, Giuseppe Zanni, Vincenzo Scattoni, Luc Valiquette, Patrizio Rigatti, Francesco Montorsi, Pierre I. Karakiewicz

Research output: Contribution to journalArticle

Abstract

Introduction: Our goal was to develop and internally validate a nomogram for prediction of lymph node invasion (LNI) in patients with clinically localized prostate cancer undergoing extended pelvic lymphadenectomy (ePLND). Methods: 602 consecutive patients (mean age 65.8 years) underwent an ePLND, where 10 or more nodes were removed. PSA was 1.1-49.9 (median 7.2). Clinical stages were: T1c in 55.6%, T2 in 41.4% and T3 in 3%. Biopsy Gleason sums were: 6 or less in 66%, 7 in 25.4%, 8-10 in 8.6%. Multivariate logistic regression models tested the association between all of the above predictors and LNI. Regression-based coefficients were used to develop a nomogram predicting LNI and 200 bootstrap resamples were used for internal validation. Results: Mean number of lymph nodes removed was 17.1 (range 10-40). LNI was detected in 66 patients (11.0%). Univariate predictive accuracy for total PSA, clinical stage and biopsy Gleason sum was 63%, 58% and 73%, respectively. A nomogram based on clinical stage, PSA and Biopsy Gleason sum demonstrated bootstrap-corrected predictive accuracy of 76%. Conclusions: A nomogram based on pre-treatment PSA, clinical stage and biopsy Gleason sum can highly accurately predict LNI at ePLND.

Original languageEnglish
Pages (from-to)1019-1027
Number of pages9
JournalEuropean Urology
Volume49
Issue number6
DOIs
Publication statusPublished - Jun 2006

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Keywords

  • Lymph node invasion
  • Nomogram
  • Pelvic lymphadenectomy
  • Prostate cancer

ASJC Scopus subject areas

  • Urology

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