title: Systematic biopsy-based staging of prostate cancer: scientific background, individual variables, combination of parameters, and current integrative models.
abstract: Staging of the prostate cancer remains the mainstay of treatment decisions and prognostication. Multiple staging tests, which are currently available, fail to provide optimal staging accuracy in the management of prostate cancer. Systemic biopsy can provide useful data regarding bilaterality, Gleason grade, cancer map, perineural infiltration, tumor volume, percentage cancer and microvessel density. We have reviewed existing literature on systematic biopsy in this review. We have further discussed the role of neural network technology in integrating this information.
authors.affiliation: The Division of Urology, University of Florida, College of Medicine, Gainesville 32601, USA.
authors.forename: P
authors.initials: P
authors.lastname: Narayan
authors.forename: A
authors.initials: A
authors.lastname: Tewari
mesh_terms: D001706:Biopsy; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009367:Neoplasm Staging; D016571:Neural Networks, Computer; D011467:Prostate / Q000000981:diagnostic imaging / Q000473:pathology; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology*; D014463:Ultrasonography