Literature DB >> 18938046

Multi-institutional external validation of seminal vesicle invasion nomograms: head-to-head comparison of Gallina nomogram versus 2007 Partin tables.

Kevin C Zorn1, Umberto Capitanio, Claudio Jeldres, Philippe Arjane, Paul Perrotte, Shahrokh F Shariat, David I Lee, Arieh L Shalhav, Gregory P Zagaja, Sergey A Shikanov, Ofer N Gofrit, Alan E Thong, David M Albala, Leon Sun, Pierre I Karakiewicz.   

Abstract

PURPOSE: The Partin tables represent one of the most widely used prostate cancer staging tools for seminal vesicle invasion (SVI) prediction. Recently, Gallina et al. reported a novel staging tool for the prediction of SVI that further incorporated the use of the percentage of positive biopsy cores. We performed an external validation of the Gallina et al. nomogram and the 2007 Partin tables in a large, multi-institutional North American cohort of men treated with robotic-assisted radical prostatectomy. METHODS AND MATERIALS: Clinical and pathologic data were prospectively gathered from 2,606 patients treated with robotic-assisted radical prostatectomy at one of four North American robotic referral centers between 2002 and 2007. Discrimination was quantified with the area under the receiver operating characteristics curve. The calibration compared the predicted and observed SVI rates throughout the entire range of predictions.
RESULTS: At robotic-assisted radical prostatectomy, SVI was recorded in 4.2% of patients. The discriminant properties of the Gallina et al. nomogram resulted in 81% accuracy compared with 78% for the 2007 Partin tables. The Gallina et al. nomogram overestimated the true rate of SVI. Conversely, the Partin tables underestimated the true rate of SVI.
CONCLUSION: The Gallina et al. nomogram offers greater accuracy (81%) than the 2007 Partin tables (78%). However, both tools are associated with calibration limitations that need to be acknowledged and considered before their implementation into clinical practice.

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Year:  2008        PMID: 18938046     DOI: 10.1016/j.ijrobp.2008.06.1913

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  4 in total

Review 1.  Predictive and prognostic models in radical prostatectomy candidates: a critical analysis of the literature.

Authors:  Giovanni Lughezzani; Alberto Briganti; Pierre I Karakiewicz; Michael W Kattan; Francesco Montorsi; Shahrokh F Shariat; Andrew J Vickers
Journal:  Eur Urol       Date:  2010-08-06       Impact factor: 20.096

Review 2.  Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework.

Authors:  Andrew J Vickers; Angel M Cronin
Journal:  Semin Oncol       Date:  2010-02       Impact factor: 4.929

3.  Prediction models in cancer care.

Authors:  Andrew J Vickers
Journal:  CA Cancer J Clin       Date:  2011-06-23       Impact factor: 508.702

4.  Comparison of three different tools for prediction of seminal vesicle invasion at radical prostatectomy.

Authors:  Giovanni Lughezzani; Kevin C Zorn; Lars Budäus; Maxine Sun; David I Lee; Arieh L Shalhav; Gregory P Zagaya; Sergey A Shikanov; Ofer N Gofrit; Alan E Thong; David M Albala; Leon Sun; Angel Cronin; Andrew J Vickers; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2012-05-02       Impact factor: 20.096

  4 in total

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