OBJECTIVES: To assess the relationship between tumor volume, gland volume, number of sectors submitted to biopsy, and prostatic biopsy detection rate. METHODS: Using a three-dimensional mathematical model of the prostate, we assessed detection rates achieved with 4-, 6-, 8-, 10-, and 12-sector biopsies for glands ranging from 20 to 100 cc and peripheral zone tumors ranging from 0.3 to 1.4 cc. RESULTS: Quadrant and sextant biopsy approaches only yielded from 6.2% to 13.4% and 8.6% to 18.3%, respectively, of lesions in a 40-cc gland. Conversely, 10- and 12-sector approaches yielded, respectively, from 19.8% to 48.8% and 25.4% to 62% of lesions for the same gland size. When assessed according to the density of sampling, one biopsy core used for every 1 .5 to 3.5 cc of prostatic tissue detected 42.5% of 0.5-cc lesions. For the same lesion size, the density of sampling per biopsy core was then decreased to intervals extending from 3.6 to 7.5 cc, 7.6 to 12.5 cc, and 12.6 to 25 cc. These sampling density intervals yielded, respectively, 25.0%, 15.8%, and 9.8% detection rates. CONCLUSIONS: On the basis of our results, a gland volume-based biopsy algorithm is likely to result in improved detection of clinically significant prostate cancer.
OBJECTIVES: To assess the relationship between tumor volume, gland volume, number of sectors submitted to biopsy, and prostatic biopsy detection rate. METHODS: Using a three-dimensional mathematical model of the prostate, we assessed detection rates achieved with 4-, 6-, 8-, 10-, and 12-sector biopsies for glands ranging from 20 to 100 cc and peripheral zone tumors ranging from 0.3 to 1.4 cc. RESULTS: Quadrant and sextant biopsy approaches only yielded from 6.2% to 13.4% and 8.6% to 18.3%, respectively, of lesions in a 40-cc gland. Conversely, 10- and 12-sector approaches yielded, respectively, from 19.8% to 48.8% and 25.4% to 62% of lesions for the same gland size. When assessed according to the density of sampling, one biopsy core used for every 1 .5 to 3.5 cc of prostatic tissue detected 42.5% of 0.5-cc lesions. For the same lesion size, the density of sampling per biopsy core was then decreased to intervals extending from 3.6 to 7.5 cc, 7.6 to 12.5 cc, and 12.6 to 25 cc. These sampling density intervals yielded, respectively, 25.0%, 15.8%, and 9.8% detection rates. CONCLUSIONS: On the basis of our results, a gland volume-based biopsy algorithm is likely to result in improved detection of clinically significant prostate cancer.
Authors: C Brossner; A Winterholer; M Roehlich; E Dlouhy-Schütz; V Serra; M Sonnleithner; K H Grubmüller; K Pummer; E Schuster Journal: World J Urol Date: 2003-06-03 Impact factor: 4.226