Probability of lymph node involvement in men with prostate cancer
Throughout the last three decades, a lot of prediction tools were produced to predict the chance of lymph node involvement in prostate cancer patients. Nearly all prediction tools used pre-operative PSA, gleason score and clinical T-stage as inputvariables. More recent models also use amount of biopsy cores taken and percentage or amount of positive/negative biopsy cores. 
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Composite
Model author
Version
1.22
Revision date
2018-03-13
Specialty
MeSH terms
  • Lymphadenectomy
  • Prostate Cancer
  • Partin Nomogram
  • Gleason Score
  • Prostate Specific Antigen
  • Lymph Nodes
  • Lymph Node Dissection
  • Nomograms
  • Status
    public
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    Supporting Publications

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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    Underlying models
    Briganti 2012 Nomogram: "Prediction of Lymph Node Involvement in patients with prostate cancer"
    Research authors: Alberto Briganti, Allesandro Larcher, Firas Abdollah, Umberto Capitanio, Andrea Gallina, Nazareno Suardi, Marco Bianchi, Maxine Sun, Massimo Freschi, Andrea Salonia, Pierre I Karakiewicz, Patrizio Rigatti, Francesco Montorsi
    Yale formula (update of the Roach formula).
    Research authors: James B. Yu, Danil V. Makarov, Cary Gross
    Partin Tables update 2016: Lymph node involvement
    Research authors: Jeffrey T. Tosoian, Meera Chappidi, Zhaoyong Feng, Elizabeth B. Humphreys, Misop Han, Christian P. Pavlovich, Jonathan I. Epstein, Alan W. Partin, Bruce J. Trock
    MSKCC Nomogram: Probability of lymph node involvement in prostate cancer patients (includes biopsy cores)
    Research authors: Source: Memorial Sloan Kettering Cancer Center (US)
    Winter nomogram: Predicting lymph node involvement through sentinel guided pelvic lymph node dissection (SPLND)
    Research authors: Alexander Winter, T. Kneib, M. Rohde, R.P. Henke, F. Wawroschek