title: Is there any clinical parameter able to predict prostate cancer after initial diagnosis of atypical small acinar proliferation?
abstract: BACKGROUND
  Tissue samples from prostate biopsy may contain atypical small acinar proliferation (ASAP): present guidelines recommend a repeat biopsy policy. This study attempted to identify clinical patterns that help predict cancer detection at second biopsy.
  
  
  METHODS
  From 1999 to 2005, 1,274 patients underwent a prostate biopsy: in 5.9% ASAP was found, and patients underwent a second biopsy. Uni- and multivariate analysis compared the clinical patterns of cancer patients with the no cancer group at second biopsy.
  
  
  RESULTS
  Univariate analysis showed significant differences in PSA ratio density, prostate volume, final PSA values and Delta PSA; at multivariate logistic regression analysis, only PSA ratio (OR = 0.743, 95% CI 0.620-0.891) and prostate volume (OR = 0.960, 95% CI 0.924-0.998) were predictive of malignancy.
  
  
  CONCLUSIONS
  In our experience, PSA ratio and prostate volume seem to be independent predictors of prostate cancer at re-biopsy.
authors.affiliation: Department of Medical-Surgical Specialties and Public Health, Section of Urology and Andrology, University of Perugia, Perugia, Italy. luigi.mearini@tin.it
authors.forename: Luigi
authors.initials: L
authors.lastname: Mearini
authors.forename: Elisabetta
authors.initials: E
authors.lastname: Costantini
authors.forename: Guido
authors.initials: G
authors.lastname: Bellezza
authors.forename: Antonio
authors.initials: A
authors.lastname: Cavaliere
authors.forename: Alessandro
authors.initials: A
authors.lastname: Zucchi
authors.forename: Vittorio
authors.initials: V
authors.lastname: Bini
authors.forename: Massimo
authors.initials: M
authors.lastname: Porena
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001706:Biopsy; D049109:Cell Proliferation; D006801:Humans; D008297:Male; D008495:Medical Oncology / Q000379:methods; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D017430:Prostate-Specific Antigen / Q000096:biosynthesis; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D012372:ROC Curve; D012044:Regression Analysis; D012680:Sensitivity and Specificity
chemical_list: D017430:Prostate-Specific Antigen