Introduction: Routine systematic prostate biopsy still is recommended beside targeted biopsies, since without it, a significant proportion of prostate cancer (PCa) will be missed. Out of the various methods, we investigated two in a head-to-head comparison: the volumetric-optimized software-supported (VOT) and the conventional cognitive freehand (CFT) ultrasound-guided systematic prostate biopsy. Methods: This is a retrospective analysis within a consecutive cohort of men undergoing prostate biopsy between 2014 and 2023. Baseline characteristics, diagnostic performance in detecting PCa with corresponding relative risks, have been assessed. Results: A total of 573 patients have been included into analysis: 135 in the CFT and 438 in the VOT group. In the CFT group, 25 (18.5%) showed positive with significant PCa (defined as Gleason Score ≥7), and in the VOT group 125 (28.5%), respectively. The relative risk for the diagnosis of significant cancer was statistically significantly higher in the VOT compared to the CFT group with a relative risk of 1.54 (95% CI from 1.05 to 2.26), whereas the relative risk for insignificant cancer was almost identical. Conclusion: Our results showed that VOT has better diagnostic performance than CFT in detecting significant PCa (defined as Gleason Score ≥7). Taking the study limitations into consideration, the corroboration of our results in other cohorts would promote their generalizability.

1.
van der Leest
M
,
Cornel
E
,
Israel
B
,
Hendriks
R
,
Padhani
AR
,
Hoogenboom
M
, et al
.
Head-to-head comparison of transrectal ultrasound-guided prostate biopsy versus multiparametric prostate resonance imaging with subsequent magnetic resonance-guided biopsy in biopsy-naive men with elevated prostate-specific antigen: a large prospective multicenter clinical study
.
Eur Urol
.
2019
;
75
(
4
):
570
8
.
2.
Kasivisvanathan
V
,
Rannikko
AS
,
Borghi
M
,
Panebianco
V
,
Mynderse
LA
,
Vaarala
MH
, et al
.
MRI-Targeted or standard biopsy for prostate-cancer diagnosis
.
N Engl J Med
.
2018
;
378
(
19
):
1767
77
.
3.
Rouvière
O
,
Puech
P
,
Renard-Penna
R
,
Claudon
M
,
Roy
C
,
Mège-Lechevallier
F
, et al
.
Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study
.
Lancet Oncol
.
2019
;
20
(
1
):
100
9
.
4.
von Elm
E
,
Altman
DG
,
Egger
M
,
Pocock
SJ
,
Gøtzsche
PC
,
Vandenbroucke
JP
;
STROBE Initiative
.
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies
.
BMJ
.
2007
;
335
(
7624
):
806
8
.
5.
Austin
PC
.
Balance diagnostics for comparing the distribution of baselinecovariates between treatment groups in propensity-scorematched samples
.
Stat Med
.
2009
;
28
(
25
):
3083
107
.
6.
R Core Team
.
R: A language and environment for statistical computing
.
Vienna, Austria
:
R Foundation for Statistical Computing
;
2024
. Available from: https://www.R-project.org/
7.
Kasivisvanathan
V
,
Stabile
A
,
Neves
JB
,
Giganti
F
,
Valerio
M
,
Shanmugabavan
Y
, et al
.
Magnetic resonance imaging-targeted biopsy versus systematic biopsy in the detection of prostate cancer: a systematic review and meta-analysis
.
Eur Urol
.
2019
;
76
(
3
):
284
303
.
8.
Drost
FJH
,
Osses
D
,
Nieboer
D
,
Bangma
CH
,
Steyerberg
EW
,
Roobol
MJ
, et al
.
Prostate magnetic resonance imaging, with or without magnetic resonance imaging-targeted biopsy, and systematic biopsy for detecting prostate cancer: a cochrane systematic review and meta-analysis
.
Eur Urol
.
2020
;
77
(
1
):
78
94
.
9.
Deniffel
D
,
Perlis
N
,
Ghai
S
,
Girgis
S
,
Healy
GM
,
Fleshner
N
, et al
.
Prostate biopsy in the era of MRI-targeting: towards a judicious use of additional systematic biopsy
.
Eur Radiol
.
2022
;
32
(
11
):
7544
54
.
10.
Yamada
Y
,
Ukimura
O
,
Kaneko
M
,
Matsugasumi
T
,
Fujihara
A
,
Vourganti
S
, et al
.
Moving away from systematic biopsies: image-guided prostate biopsy (in-bore biopsy, cognitive fusion biopsy, MRUS fusion biopsy) -literature review
.
World J Urol
.
2021
;
39
(
3
):
677
86
.
11.
Jahnen
M
,
Amiel
T
,
Wagner
T
,
Kirchhoff
F
,
Büchler
JW
,
Düwel
C
, et al
.
Does experience change the role of systematic biopsy during MRI-fusion biopsy of the prostate
.
World J Urol
.
2023
;
41
(
10
):
2699
705
.
12.
Cornford
P
,
van den Bergh
RCN
,
Briers
E
,
Van den Broeck
T
,
Brunckhorst
O
,
Darraugh
J
, et al
.
EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on prostate Cancer: 2024 update. Part I – screening, diagnosis, and local treatment with curative intent
.
Eur Urol
.
2024
;
86
(
2
):
148
63
.
13.
Greer
MD
,
Shih
JH
,
Lay
N
,
Barrett
T
,
Bittencourt
L
,
Borofsky
S
, et al
.
Interreader variability of prostate imaging reporting and data system version 2 in detecting and assessing prostate cancer lesions at prostate MRI
.
AJR Am J Roentgenol
.
2019
;
212
(
6
):
1197
205
.
14.
Shukla-Dave
A
,
Hricak
H
.
Role of MRI in prostate cancer detection
.
NMR Biomed
.
2014
;
27
(
1
):
16
24
.
15.
Girometti
R
,
Giannarini
G
,
Peruzzi
V
,
Amparore
D
,
Pizzolitto
S
,
Zuiani
C
.
MRI-informed prostate biopsy: what the radiologist should know on quality in biopsy planning and biopsy acquisition
.
Eur J Radiol
.
2023
;
164
:
110852
.
16.
Trecarten
S
,
Sunnapwar
AG
,
Clarke
GD
,
Liss
MA
.
Prostate MRI for the detection of clinically significant prostate cancer: update and future directions
.
Adv Cancer Res
.
2024
;
161
:
71
118
.
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