Literature DB >> 14501725

A nomogram to predict seminal vesicle invasion by the extent and location of cancer in systematic biopsy results.

Hideshige Koh1, Michael W Kattan, Peter T Scardino, Kazuho Suyama, Norio Maru, Kevin Slawin, Thomas M Wheeler, Makoto Ohori.   

Abstract

PURPOSE: We determined whether systematic biopsy results increases the accuracy of standard clinical information in predicting seminal vesicle invasion (SVI).
MATERIALS AND METHODS: We analyzed a retrospective cohort of 763 patients with clinical stages T1c-T3 prostate cancer who were diagnosed by systematic biopsy and treated with radical prostatectomy. We recorded the location of each biopsy core and measured the length of cancer and total length of each core. Using logistic regression analysis we constructed and internally validated a nomogram to predict SVI.
RESULTS: A total of 60 patients (7.9%) had SVI. Cancer was present in a biopsy core from the base in 437 patients, of whom 12.8% had SVI compared with only 1.2% of the 326 without cancer at the base. None of the 275 patients with prostate specific antigen (PSA) 10 ng/ml or less and no cancer at the base had SVI. On multivariate analysis serum PSA (p <0.0005), primary Gleason grade (p = 0.028) and percent cancer at the base (p <0.005) were the only significant predictors of SVI. The predictive accuracy of a standard model that included only stage, grade and PSA was maximally enhanced by including the percent cancer at the base (p = 0.0013). A nomogram that incorporated this variable produced probabilities of SVI that differed from the standard model by +/- 10% in 68% of the cases.
CONCLUSIONS: The presence and amount of cancer in systematic needle biopsy cores from the base of the prostate strongly predicts the presence of SVI. Systematic biopsy results enhance the accuracy of nomograms to predict SVI.

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Year:  2003        PMID: 14501725     DOI: 10.1097/01.ju.0000085074.62960.7b

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


  20 in total

Review 1.  Histopathology reporting of prostate needle biopsies. 2005 update.

Authors:  Rodolfo Montironi; Remigio Vela Navarrete; Antonio Lopez-Beltran; Roberta Mazzucchelli; Gregor Mikuz; Aldo V Bono
Journal:  Virchows Arch       Date:  2006-04-22       Impact factor: 4.064

Review 2.  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

3.  Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Authors:  Ying Huang; Sumit Isharwal; Alexander Haese; Felix K H Chun; Danil V Makarov; Ziding Feng; Misop Han; Elizabeth Humphreys; Jonathan I Epstein; Alan W Partin; Robert W Veltri
Journal:  BJU Int       Date:  2010-09-28       Impact factor: 5.588

4.  Predictive models for newly diagnosed prostate cancer patients.

Authors:  William T Lowrance; Peter T Scardino
Journal:  Rev Urol       Date:  2009

Review 5.  Nomograms in oncology: more than meets the eye.

Authors:  Vinod P Balachandran; Mithat Gonen; J Joshua Smith; Ronald P DeMatteo
Journal:  Lancet Oncol       Date:  2015-04       Impact factor: 41.316

Review 6.  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

7.  Seminal vesicle invasion in prostate cancer: evaluation by using multiparametric endorectal MR imaging.

Authors:  Fatma Nur Soylu; Yahui Peng; Yulei Jiang; Shiyang Wang; Christine Schmid-Tannwald; Ila Sethi; Scott Eggener; Tatjana Antic; Aytekin Oto
Journal:  Radiology       Date:  2013-02-25       Impact factor: 11.105

Review 8.  Risk stratification of prostate cancer: integrating multiparametric MRI, nomograms and biomarkers.

Authors:  Matthew J Watson; Arvin K George; Mahir Maruf; Thomas P Frye; Akhil Muthigi; Michael Kongnyuy; Subin G Valayil; Peter A Pinto
Journal:  Future Oncol       Date:  2016-07-12       Impact factor: 3.404

9.  African-american race is a predictor of seminal vesicle invasion after radical prostatectomy.

Authors:  Kosj Yamoah; Amy Walker; Elaine Spangler; Charnita M Zeigler-Johnson; Bruce Malkowicz; David I Lee; Adam P Dicker; Timothy R Rebbeck; Priti Lal
Journal:  Clin Genitourin Cancer       Date:  2014-10-25       Impact factor: 2.872

Review 10.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

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