Background. Among patients with clinically localized prostate cancer,
preoperative prediction of tumor volume and pathologic stage has been
unreliable. This study examines the application of transrectal ultraso
und-guided sextant biopsies to predict the extent of disease. Methods.
One hundred and two patients with clinically resectable prostate canc
er were evaluated by systematic sextant biopsies. Radical prostatectom
y specimens were embedded totally as whole mounts, tumor areas were ou
tlined, and volume was measured using a digital scanner. The number of
positive sextant biopsies was compared with age, race, preoperative p
rostate specific antigen (PSA), PSA density, DNA ploidy, pathologic st
age, capsular and seminal vesicle involvement, prostate and tumor volu
me, and Gleason score. Stepwise logistic regression was used to determ
ine if pathologic stage or tumor size could be predicted by these para
meters. Results. The number of positive sextant biopsies correlated wi
th traditional prognostic indicators. When patients with three or fewe
r positive biopsies were compared with those with four or more positiv
e sextant biopsies, significant differences were identified relative t
o preoperative PSA (P < 0.001), tumor volume (P < 0.001), pathologic s
tage (P < 0.001), Gleason score (P < 0.001), seminal vesicle involveme
nt (P < 0.001), and capsular penetration (P < 0.001). There were no si
gnificant differences based on age, race, DNA ploidy, and overall pros
tate volume. Logistic regression showed that patients with four or mor
e positive sextant biopsies and high Gleason score had a greater likel
ihood of pT3 classification. Likewise, the probabilities of a tumor vo
lume less than 0.5 ml could be predicted by the number of positive sex
tant biopsies and PSA alone. The number of positive sextant biopsies w
as the only factor that could predict a tumor volume greater than 4.0
ml. Conclusion. The number of positive sextant biopsies appears to be
an important prognostic indicator of pathologic (pT) classification an
d tumor volume. This information is valuable in selecting the treatmen
t strategy for patients with prostate cancer.