Probability of lymph node involvement in men with prostate cancer

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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.

Details Files & References

Composite

Model author

Evidencio Community

Version

1.22

Revision date

2018-03-13

Specialty

Unspecified

MeSH terms

Lymphadenectomy

Prostate Cancer

Partin Nomogram

Gleason Score

Prostate Specific Antigen

Lymph Nodes

Lymph Node Dissection

Nomograms

Status

public

Related files

No related files available

Supporting Publications

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Results

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Result interpretation

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

★ ★

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