Literature DB >> 18485398

Validation of pretreatment nomograms for predicting indolent prostate cancer: efficacy in contemporary urological practice.

Fei Dong1, Michael W Kattan, Ewout W Steyerberg, J Stephen Jones, Andrew J Stephenson, Fritz H Schröder, Eric A Klein.   

Abstract

PURPOSE: Many patients diagnosed with low grade and early stage prostate cancer have indolent disease and may not benefit from immediate therapy. In patients referred for biopsy following community screening we validated the Kattan and Steyerberg nomograms for predicting indolent disease in a contemporary urological practice.
MATERIALS AND METHODS: A total of 296 patients who underwent prostate biopsy and radical prostatectomy at a single institution were identified for nomogram validation. All patients had clinically localized, stage T1c or T2a and biopsy Gleason score 6 prostate cancer. Clinical and biopsy pathological information was compared to surgery pathology results for nomogram validation with indolent disease defined as surgical Gleason score 6 or less, tumor volume less than 0.5 cc and organ confined disease. Nomogram performance was assessed by the ROC curve.
RESULTS: Of the patients 27.4% had pathologically indolent disease at prostatectomy. Based on pretreatment variables the Kattan and Steyerberg nomograms were able to predict indolent disease with similar discrimination levels (AUC 0.777 and 0.772, respectively).
CONCLUSIONS: Two previously described nomograms performed equally well for predicting indolent disease. These data further establish the role of validated nomograms for clinical decision making for managing screening detected prostate cancer.

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Year:  2008        PMID: 18485398     DOI: 10.1016/j.juro.2008.03.053

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  18 in total

Review 1.  Management of low (favourable)-risk prostate cancer.

Authors:  H Ballentine Carter
Journal:  BJU Int       Date:  2011-12       Impact factor: 5.588

2.  Preoperative nomograms incorporating magnetic resonance imaging and spectroscopy for prediction of insignificant prostate cancer.

Authors:  Amita Shukla-Dave; Hedvig Hricak; Oguz Akin; Changhong Yu; Kristen L Zakian; Kazuma Udo; Peter T Scardino; James Eastham; Michael W Kattan
Journal:  BJU Int       Date:  2011-09-20       Impact factor: 5.588

3.  Selective detection of histologically aggressive prostate cancer: an Early Detection Research Network Prediction model to reduce unnecessary prostate biopsies with validation in the Prostate Cancer Prevention Trial.

Authors:  Stephen B Williams; Simpa Salami; Meredith M Regan; Donna P Ankerst; John T Wei; Mark A Rubin; Ian M Thompson; Martin G Sanda
Journal:  Cancer       Date:  2011-10-17       Impact factor: 6.860

4.  Prediction of prostate cancer by deep learning with multilayer artificial neural network.

Authors:  Takumi Takeuchi; Mami Hattori-Kato; Yumiko Okuno; Satoshi Iwai; Koji Mikami
Journal:  Can Urol Assoc J       Date:  2018-10-15       Impact factor: 1.862

Review 5.  Formalized prediction of clinically significant prostate cancer: is it possible?

Authors:  Carvell T Nguyen; Michael W Kattan
Journal:  Asian J Androl       Date:  2012-02-27       Impact factor: 3.285

6.  Why can't nomograms be more like Netflix?

Authors:  Andrew J Vickers; Paul Fearn; Peter T Scardino; Mike W Kattan
Journal:  Urology       Date:  2009-10-30       Impact factor: 2.649

7.  Canary Prostate Active Surveillance Study: design of a multi-institutional active surveillance cohort and biorepository.

Authors:  Lisa F Newcomb; James D Brooks; Peter R Carroll; Ziding Feng; Martin E Gleave; Peter S Nelson; Ian M Thompson; Daniel W Lin
Journal:  Urology       Date:  2009-09-16       Impact factor: 2.649

Review 8.  Early prostate-specific antigen changes and the diagnosis and prognosis of prostate cancer.

Authors:  George Botchorishvili; Mika P Matikainen; Hans Lilja
Journal:  Curr Opin Urol       Date:  2009-05       Impact factor: 2.309

9.  Overdetection, overtreatment and costs in prostate-specific antigen screening for prostate cancer.

Authors:  E A M Heijnsdijk; A der Kinderen; E M Wever; G Draisma; M J Roobol; H J de Koning
Journal:  Br J Cancer       Date:  2009-11-10       Impact factor: 7.640

10.  Prostate cancer--to screen, or not to screen, is that the question?

Authors:  Charles J Rosser
Journal:  BMC Urol       Date:  2008-12-23       Impact factor: 2.264

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