Can J Urol 2017 Apr;24(2):8721-8727
Center for Clinical Effectiveness, Office of the Chief Quality Officer, Baylor Scott and White Health, Dallas, Texas, USA.
: To test with actual data a new decision algorithm derived by probability modeling of the number of positive cores, for deciding insignificant versus significant prostate cancer, based on prostate volume, Gleason score, tumor length on biopsy cores, and number of positive cores.Materials And Methods
: A dataset of 59 cancer-involved autopsied prostate glands from patients aged 42 to 92 years with prostate volumes of 22 cc to 95 cc was used. An 18 core-systematic biopsy was performed on the first 47 patients, and saturation biopsy protocol of 36 cores was performed on the remainder. Read More