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


Authors: Koh, H.; Kattan, M. W.; Scardino, P. T.; Suyama, K.; Maru, N.; Slawin, K.; Wheeler, T. M.; Ohori, M.
Article Title: A nomogram to predict seminal vesicle invasion by the extent and location of cancer in systematic biopsy results
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.
Keywords: adult; human tissue; aged; middle aged; retrospective studies; major clinical study; cancer localization; validation process; cancer staging; cancer grading; diagnostic accuracy; prostate specific antigen; cohort analysis; retrospective study; biopsy; prostate cancer; cancer invasion; prostatic neoplasms; prostate; prostatectomy; needle biopsy; prostate biopsy; neoplasm invasiveness; seminal vesicle; logistic regression analysis; seminal vesicles; genital neoplasms, male; humans; prognosis; human; male; priority journal; article
Journal Title: Journal of Urology
Volume: 170
Issue: 4 Pt. 1
ISSN: 0022-5347
Publisher: Elsevier Science, Inc.  
Date Published: 2003-10-01
Start Page: 1203
End Page: 1208
Language: English
DOI: 10.1097/01.ju.0000085074.62960.7b
PUBMED: 14501725
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 12 September 2014 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Peter T Scardino
    671 Scardino
  2. Makoto Ohori
    50 Ohori
  3. Michael W Kattan
    218 Kattan