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X
- •Foreword
- •Preface
- •Contents
- •Contributors
- •Imaging
- •Personal Preference
- •Introduction
- •Traditional Radical Therapies
- •Active Surveillance
- •Why Consider Focal Therapy?
- •Cancer Treatment Needs
- •Functional Outcomes
- •Conclusion
- •Introduction
- •Focal Therapy Candidates
- •The Index Lesion Theory
- •Further Prospective
- •Conclusions
- •References
- •Introduction
- •Renal Mass Biopsy
- •Approach
- •Cryoablation
- •Treatment Temperature
- •Radiofrequency Ablation
- •Treatment Temperature
- •Intraoperative Monitoring
- •Cryoablation
- •Radiofrequency Ablation
- •Recommended Imaging Follow-Up Protocol
- •Emerging New Ablative Modalities
- •Microwave Ablation
- •Irreversible Electroporation
- •Radiation Therapy
- •Oncological Outcomes
- •Local Recurrence-Free Survival
- •Overall Survival
- •Cryoablation Versus Radiofrequency Ablation
- •Complications
- •Conclusion
- •References
- •Introduction
- •Informed Consent
- •Why Focal Therapy?
- •References
- •References
- •Introduction
- •Conclusions
- •References
- •Introduction
- •Conclusions
- •References
- •Introduction
- •Prostate MRI
- •Robotic Surgery
- •Conclusion
- •References
- •Introduction
- •References
- •Introduction
- •Conclusions
- •References
- •Decipher
- •Oncotype DX
- •Prolaris
- •Limitations
- •Conclusion
- •References
- •Background
- •Androgen Manipulation
- •Conclusion
- •References
- •Introduction
- •Genomic Biomarkers
- •Genomic Heterogeneity
- •Targeted Biopsy Outcomes
- •Outcomes After Active Surveillance
- •Outcomes After Radical Prostatectomy
- •Conclusions
- •References
- •Introduction
- •Early Prostate MRI Consensus Meetings
- •PI-RADS v2
- •PI-RADS v2.1
- •PI-RADS Vs. Likert Score
- •MRI-Targeted Biopsies
- •Reporting Cancer Recurrence
- •MRI After Focal Therapy
- •Conclusion
- •References
- •MR Segmentation
- •US Segmentation
- •MR-US Registration/Fusion
- •Conclusion
- •References
- •Introduction
- •Ultrasound Elastography
- •Strain Elastography
- •Shear Wave Elastography
- •Patient Factors During FB
- •Discussion
- •Learning Curve
- •Core Number Optimization
- •Transrectal Versus Transperineal
- •Future Directions
- •Acoustic Radiation Force Impulse (ARFI) Imaging
- •Quantitative Ultrasound
- •Micro-Ultrasound
- •Multiparametric Ultrasound
- •Conclusions
- •References
- •Multi-Parametric Magnetic Resonance Imaging
- •References
- •Introduction
- •Cognitive Fusion
- •In-Bore MRI-Guided Biopsy
- •Software-Based Image Coregistration
- •Registration Algorithms
- •Biopsy Needle Tracking
- •Biopsy Approach
- •Commercial Systems
- •Electromagnetic Tracking
- •Mechanical Position Encoders
- •Image-Based Tracking
- •Discussion
- •Conclusion
- •References
- •Introduction
- •Complications
- •Urinary Retention
- •Bleeding
- •Conclusion
- •References
- •Introduction
- •Institutional Examples
- •Setting
- •Results
- •Discussion
- •Summary
- •References
- •Introduction
- •PET-Guided Targeted Prostate Biopsy
- •Gallium-68 (68Ga)-Radiolabeled PSMA Ligands
- •Fluorine-18 (18F)-Radiolabeled PSMA Ligands
- •Gastrin-Releasing Peptide Receptor (GRPR)
- •Future Outlook
- •Conclusion
- •References
- •Introduction
- •Approach
- •Sampling
- •Core Length
- •Histologic Submission
- •BxChip™
- •Reporting Results
- •References
- •Introduction
- •Location: Treatment Factors
- •References
- •Introduction
- •Focal Therapy Nomenclature
- •Nerve-Sparing (Unilateral or Bilateral)
- •Hemi-Ablation
- •Anterior Hockey-Stick Ablation (Anterior Three-Fourth)
- •Posterior Hockey-Stick Ablation (Posterior Three-Fourth)
- •Targeted Focal Therapy
- •Quadrant (Zonal) Ablation
- •Conclusions
- •References
- •Introduction
- •Cryotherapy
- •Irreversible Electroporation (IRE)
- •Transurethral Ultrasound Ablation (TULSA)
- •High-Intensity Focused Ultrasound (HIFU)
- •Surgery (Partial Prostatectomy)
- •Evolving Frontiers
- •Conclusion
- •References
- •Background
- •Procedure Selection
- •Patients’ Selection
- •Anesthesia
- •Perioperative Protocols
- •Procedure
- •Postoperative Period
- •Outcomes
- •Procedure Feasibility
- •Adverse Events
- •Outcomes
- •Conclusion
- •References
- •Clinical Background
- •Radiotherapy Techniques
- •Clinical Evidence About High-Dose Rate Interventional Radiotherapy (HDR IRT)
- •Clinical Evidence About Low-Dose Rate Interventional Radiotherapy (LDR IRT)
- •Clinical Evidence About Focal External Beam Radiotherapy (ERT)
- •Discussion
- •References
- •28: Focal Cryotherapy
- •Introduction
- •Focal Cryotherapy Procedure
- •Contemporary Focal Cryotherapy Series
- •Primary Focal Cryoablation
- •Salvage Focal Cryotherapy
- •Surveillance
- •Future Developments
- •Imaging
- •Cryotechnology
- •Immune Enhancer
- •References
- •Background
- •Energy Principles: Basic Science
- •Conclusion
- •References
- •Introduction
- •Early Studies
- •Phase 1 Clinical Trial (“Subtotal” Ablation)
- •Phase II (“TACT”) Clinical Trial (“Whole Gland” Ablation)
- •Patient Selection
- •Preoperative Imaging Planning
- •Intraoperative Considerations
- •Follow-Up Routine Post-Focal TULSA
- •Summary
- •References
- •Vapor 1 Study Results
- •References
- •Introduction
- •Robotic HIFU
- •Safety Features
- •Robotic HIFU Procedure
- •Intraoperative Monitoring
- •Built-in Contrast-Enhanced Transrectal Ultrasound
- •Postoperative Care
- •Follow-up
- •Oncologic Outcomes
- •Functional Outcomes
- •Complications
- •Conclusions
- •References
- •Indications
- •Contraindications
- •Preprocedure Workup
- •Technique
- •Outcomes
- •Complications
- •Controversies
- •Conclusion
- •References
- •Introduction
- •Posttreatment MRI Findings
- •High-Intensity Focused Ultrasound (HIFU)
- •Focal Laser Ablation (FLA)
- •Irreversible Electroporation (IRE)
- •Focal Cryotherapy (FC)
- •Photodynamic Therapy (PDT)
- •Future Perspectives
- •Conclusion
- •References
- •Introduction
- •Oncological Outcomes
- •Biochemical Recurrence
- •Functional Outcomes
- •Perioperative Complications
- •Urinary
- •Sexual
- •Bowel
- •Decision Regret
- •Conclusion
- •References
- •36: Assessing Functional Outcomes After Focal Therapy
- •High-Intensity Focused Ultrasound (HIFU)
- •Cryotherapy
- •Irreversible Electroporation (IRE)
- •Focal Brachytherapy
- •Focal Laser Ablation (FLA)
- •Photodynamic Therapy (PDT)
- •Microwave Ablation
- •Partial Prostatectomy
- •Bipolar Radiofrequency Ablation (bRFA)
- •Prostatic Artery Embolization (PAE)
- •Urinary Function
- •IPSS
- •EPIC
- •ICIQ-SF
- •Erectile Function
- •IIEF
- •EPIC
- •Safety Outcomes
- •Clavien-Dindo
- •CTCAE
- •Physical/Mental Outcomes
- •SF-12
- •Monitoring Patients After Focal Therapy
- •References
- •Introduction
- •PSA Nadir
- •PSA Density
- •Other Molecular Biomarkers
- •Follow-Up Protocols After FT
- •References
- •Introduction
- •Postbrachytherapy Treatment Changes
- •Post High-Intensity Focused Ultrasound (HIFU) Treatment Changes
- •Post Cryotherapy Treatment Changes
- •Post Laser Ablation Changes
- •Post Photodynamic Therapy Changes
- •Post Irreversible Electroporation Changes
- •Interstitial Microwave Thermal Therapy
- •Radiofrequency Ablation
- •References
- •39: Salvage Treatment Following Focal Therapy
- •Introduction
- •Salvage Treatment Modalities
- •Repeat Ablation
- •Salvage Radical Treatment
- •Salvage Radical Prostatectomy
- •Salvage Radiotherapy
- •References
- •Introduction
- •Ensuring Appropriate Quality
- •Conclusion
- •References
- •Patient Selection
- •Posttreatment Follow-Up
- •Conclusions
- •References
- •Index

18 Multiparametric MRI/TRUS Fusion Biopsy, Outcomes, andCommercial Systems
203
Athens, Greece) is similar to Artemis, yet utilizes
a custom-made mechanical stepper xed to the
operating table to manipulate the TRUS probe as
opposed to a self-articulating mechanical arm.
Probe and needle motion are tracked via two
built-in encoders; these encoders track the motion
of the probe in two dimensions: depth in/out and
rotation. The workow of this platform is very
similar to many of the other platforms: preprocedural MRI is obtained, and biopsy procedure consists of performing a sweep of the
prostate with the TRUS probe from cranial to
caudal, registering MRI data with real-time
TRUS data via rigid registration, and carrying out
targeted biopsies of specic regions within the
prostate considered suspicious on MRI.Uniquely,
this system is only equipped to perform biopsies
via the transperineal route, in which biopsy needles are guided through a grid mounted to the
mechanical stepper; however, ultrasound image
guidance is still performed transrectally. As a
potential limitation to this platform, users must
familiarize themselves with not only the software
but also the mechanics of handling the TRUS
probe along xed degrees of movement and rotation while simultaneously trying to align the needle with the virtual needle guide on the screen.
Most of the work with this system has been
undertaken by Hadaschik et al. in Heidelberg,
Germany. In an initial study with 106 men, the
cancer detection rate was 59.4% (63/106
patients), and MRI correlated positively with histopathology in 71 of 103 patients (68.9%) [54].
On a per-core analysis, lesion-targeted cores had
a signicantly higher positivity rate than nontargeted cores (101/410 [24.6%] vs. 179/2051
[8.7%], p< 0.0001). Finally, the group reported
an average procedural targeting error of
1.7±1.7mm for the rst 2461 biopsy cores taken
(comparing the virtually planned biopsy
trajectory with the manually documented 3D
needle position of each biopsy core). Further
work showed targeted biopsy cancer detection
rates of 82.6% (86/104), 67% (11/149), and 15%
(14/94) for patients with highly suspicious, questionably suspicious, and non-suspicious lesions
detected on multiparametric 3Tesla MRI, respectively [77]. On a core-by-core analysis, targeted
cores detected signicantly more cancer than
systematic biopsies (386/1281 [30%] vs.
523/6326 [8.2%], p<0.01). While initial work is
promising, additional studies with this system are
required to fully validate its accuracy and utility
in clinical practice.
Additionally, the iSR’obot Mona Lisa developed by Biobot Surgical Pte Ltd. in Singapore
has been approved for use in the United States
and European Union to allow for a robotic arm
guiding TRUS probe mobilization and transperineal fusion biopsy needle guidance for targeted
biopsy. There have been limited publications
reporting the use of this more recently approved
fusion biopsy platform, but with the transition in
many centers in the United States toward transperineal biopsy, this platform is designed to allow
for TP biopsy as well as post-biopsy TP procedural guidance. The goal is to use such platforms
for biopsy and then be able to direct TP ablative
procedures using the same image guidance as
warranted and suitable when the pathology of the
biopsy procedure is available and reviewed. For
this system, ablative procedures such as TP cryoablation, irreversible electroporation, and potentially high dose rate brachytherapy may benet
from imaging guidance and colocalization with
MRI and prior biopsy sampling that was mapped
for precise treatment guidance.
The BioJet platform (BK Ultrasound,
Peabody, Massachusetts, USA; DK Technologies,
Barum, Germany), similar to Artemis, employs
the use of a mechanical arm with angle-sensing
encoders for tracking of the TRUS probe.
Targeted biopsy can be performed via the transrectal or transperineal routes; however, the system is currently equipped with only rigid
registration algorithms [78]. In a small proof-ofconcept study consisting of 20 patients, Shoji
et al. found an overall cancer detection rate of
70% (14/20); the cancer detection rate was signicantly higher for targeted biopsy cores utilizing the BioJet system relative to systematic
biopsy (31.8% vs. 6.7%, p < 0.0001) [78].
However, the authors of the study pointed out
that the shapes of the prostate contour on MRI
and TRUS were pointedly different, and contours
had to be fused manually with several adjust-

204
S. Rais-Bahrami et al.
ments. In a study examining 72 total lesions in 39
men, one report found strong agreement between
cancer detection via the BioJet platform and
higher global Prostate Imaging Reporting and
Data System (PI-RADS) score for the dominant
lesion found on mpMRI (positive cancer:
4.0 ± 1.3 vs. negative cancer: 2.6 ± 0.8,
p<0.0006) [79]. Using a global PI-RADS score
cutoff ≥4, a sensitivity of 85%, specicity of
82%, and negative predictive value of 92% were
achieved. However, in a recent study in a prospective paired cohort of 50 patients with visible
targets on MRI, Valerio etal. found similar cancer detection rates on a per-patient level between
cognitive fusion biopsy, directed targeted biopsies with the BioJet platform, and systematic
transperineal template mapping biopsy (32
patients, 64%; 34 patients, 68%; and 38 patients,
76%, respectively, p > 0.05) [80]. At a patient
level, BioJet-based targeted biopsy did nd more
clinically signicant disease relative to visually
directed (cognitive) targeted biopsy, but this
increased yield was not statistically signicant
(22% vs. 14%, p=0.48). Therefore, more highpowered studies may be necessary to demonstrate signicant differences in the detection of
clinically signicant cancer with the BioJet platform relative to other biopsy methods.
Image-Based Tracking
The Urostation platform (Koelis, Grenoble,
France), now developed into their Trinity sys-
tem, initially utilized widely across clinical centers in Europe and now increasingly used in the
United States, is a platform, in which tracking of
the TRUS probe and needles is conducted with
TRUS-TRUS registration. Thus, additional hardware, such as an electromagnetic eld generator
or robotic arms, is not necessary. The process
begins with the acquisition of prostate MRI as in
other fusion platforms. At the time of the biopsy
procedure, a 3D panorama TRUS volume is
obtained via a sweep of the prostate, and this
model is fused to pre-procedural MRI data using
elastic registration. Then, after each biopsy core
is taken, a 3D TRUS image is acquired with the
needle in place and registered to the original
sweep TRUS volume to conrm proper needle
placement. Similar to UroNav, this platform is
advantageous as the biopsies are performed utilizing a standard freehand approach. However,
one important drawback is that needles must be
held in place without movement for 3–5 s to
allow for 3D TRUS acquisition in order to acquire
an accurate needle location. As technology
improves, real-time 3D US image acquisition
may make the process seamless.
Initial studies with phantom models conducted by Ukimura et al. at the University of
Southern California (USC) in Los Angeles,
California, USA, demonstrated an accuracy of
84% (24/27 lesions hit) with this platform and a
mean procedural targeting error of
2.09± 1.28 mm [56]. In a study of 80 patients
with 115 MRI suspicious lesions, the hit rate for
the Urostation platform was 97% (112/115
lesions with conrmed biopsy inside target), and
60/115 (52%) targets were positive for cancer
[81]. Mozer etal., in a prospective study utilizing
the Urostation platform in 152 biopsy-naïve men,
found that the proportion of positive cores and
proportion of men with csPCa were signicantly
higher with the targeted-core protocol relative to
a systematic 12-core protocol (p < 0.001 and
p = 0.03, respectively). The novel iterations of
this system continue to maintain an integrated
TRUS and image fusion system to allow for a
composite hardware and software system allowing for all fusion targeted biopsy with a single
apparatus.
Discussion
MRI/TRUS fusion technology has revolutionized
the way we visualize, diagnose, and manage
prostate cancer. To this day, the prostate remains
the only solid-organ malignancy that is still standardly biopsied “blindly” for diagnosis. The current standard of care remains to direct 10–12
cores to various distributed regions within the
prostate, with the intention of identifying cancer,
if present. Though systematic in fashion, the
biopsies are, in essence, random as they are not

18 Multiparametric MRI/TRUS Fusion Biopsy, Outcomes, andCommercial Systems
205
directed toward specic targets within the prostate. Previously, imaging for prostate cancer has
been a challenge due to its deep location within
the pelvis, the complexity of prostatic zonal anatomy, and its commonly multifocal nature.
However, major strides in mpMRI capabilities
over the last few decades have allowed for precise characterization of cancerous lesions within
the prostate; when this valuable information is
integrated into fusion platforms, it allows the
operator to perform targeted biopsies with high
accuracy in the specic location(s) in which there
are image-identied lesions. Furthermore, this
information can be stored and utilized in the
future for various purposes, such as re-targeting
the exact same location or planning focal therapy.
Thus, fusion technology sheds light on the prostate and allows urologists to actually “see” and
target foci of malignancy with greater condence,
and allows tissue sampling with image colocalization to provide better certainty of diagnosis,
risk stratication, and treatment decision
making.
Software-based MRI/TRUS fusion-targeted
biopsy, in general, detects more csPCa with fewer
tissue sample cores than standard systematic
biopsy [82–85]. A major criticism of systematic
biopsy is the tendency to indiscriminately identify more clinically insignicant, low-risk cancers that prove to be clinically less relevant to
quality of life and longevity. Therefore, fusion
biopsy may allow for more accurate risk stratication and, subsequently, more patient-specic,
optimized treatment guidance. Additionally, the
clinical utility of fusion technology in various
scenarios is apparent, such as in patients with a
history of prior negative TRUS biopsies yet continued prostate cancer suspicion through biomarker testing, monitoring of patients on active
surveillance, and targeting of lesions in areas of
the prostate that are traditionally missed or undergraded via systematic biopsy. Nevertheless, additional studies are warranted to further dene the
specic patient population that benets the most
from these fusion biopsy approaches [86].
Despite substantial progress in such a short
time, there are many questions that still remain
unanswered. At this time, most who have inte-
grated fusion platforms into their practice perform systematic biopsy in addition to targeted
biopsy. This is done, in part, to compare the two
forms of biopsy head-to-head in the same patient,
yet also because there still remains a proportion
of patients in which systematic biopsy reveals
clinically signicant disease missed by targeted
fusion biopsy. Therefore, it is yet to be determined if targeted biopsy can be used alone primarily, or as an adjunctive strategy with
systematic biopsy [40]. Additionally, there is signicant difculty in interpreting the risk of csPCa
based on mpMRI to determine if subsequent
biopsy procedures would be of value, regardless
of previous biopsy status: biopsy naive, prior
biopsy of benign tissue, or on active surveillance
for biopsy proven prostate cancer [87–91].
With respect to the available software-based
platforms to guide targeted biopsy, evidence suggests they offer clinical and operational utility
over cognitive and in-bore biopsy approaches to
targeted prostate biopsy. However, developing
technologies of in-bore lower eld strength pointof- care MRI may emerge as another outpatient
clinic-based alternative. Additionally, amongst
the software fusion platforms, there has been a
paucity of clinical trials comparing the different
platforms for performance head-to-head largely
deriving similar results in individual or combined
datasets of biopsy results. Retrospective analyses
effectively comparing the outcomes with each
platform are quite difcult, as denitions, clinical
parameters, workow, and technique vary tremendously from institution to institution and
study to study (for instance, variations in patient
populations, mpMRI acquisition, MR imaging
interpretation, fusion biopsy technique, denition of clinically signicant cancer, etc.) [92].
Conclusion
Due to the proven success of use, the use of
software- based MRI/TRUS fusion targeted
biopsy platforms has become signicantly more
widespread in the USA and abroad. However, it
is yet to be determined exactly what role fusion
biopsy will play in the future as to replacing or

206
S. Rais-Bahrami et al.
being standardly added to the long-standing systematic biopsy as guideline-based care.
Additionally, not all patients are suitable for MRI
or may have MRI-invisible lesions despite harboring csPCa, which may be a foray into PETbased diagnosis for such patients and a fusion of
PET and TRUS for biopsy tissue diagnosis.
These ofce-based procedures empower the
urologist to specically target lesions in the prostate; however, the entire process, from MR imaging interpretation to registration of a 3D
ultrasound with MRI to accurate targeting of a
“bullseye” displayed on the screen, requires several unique skillsets and a multidisciplinary team
with proven experience in addition to ongoing
quality assurance evaluation [93]. Though it
always remains a question to dene whether
technological progress provides a favorable cost/
benet value, changes in the prostate cancer
screening paradigm have driven clinicians to be
more judicious in their approach to patient selection for biopsy, which has decreased overtreatment of indolent prostate cancers which was
pervasive in prior practice patterns. Improvements
in imaging have facilitated this, and fusion technology will help integrate imaging ndings to
improve cancer diagnosis for those patients who
would benet most.
References
1. Egawa S, Wheeler TM, Greene DR, Scardino
PT. Unusual hyperechoic appearance of prostate
cancer on transrectal ultrasonography. Br J Urol.
1992;69(2):169–74.
2. Kongnyuy M, George AK, Rastinehad AR, Pinto
PA. Magnetic resonance imaging-ultrasound fusionguided prostate biopsy: review of technology, techniques, and outcomes. Curr Urol Rep. 2016;17(4):32.
3. Logan JK, Rais-Bahrami S, Turkbey B, Gomella A,
Amalou H, Choyke PL, etal. Current status of magnetic resonance imaging (MRI) and ultrasonography
fusion software platforms for guidance of prostate
biopsies. BJU Int. 2014;114(5):641–52.
4. Marks L, Young S, Natarajan S. MRI-ultrasound
fusion for guidance of targeted prostate biopsy. Curr
Opin Urol. 2013;23(1):43–50.
5. Haffner J, Lemaitre L, Puech P, Haber GP, Leroy X,
Jones JS, et al. Role of magnetic resonance imaging before initial biopsy: comparison of magnetic
resonance imaging-targeted and systematic biopsy
for signicant prostate cancer detection. BJU Int.
2011;108(8 Pt 2):E171–8.
6. Park BK, Park JW, Park SY, Kim CK, Lee HM, Jeon
SS, et al. Prospective evaluation of 3-T MRI performed before initial transrectal ultrasound-guided
prostate biopsy in patients with high prostatespecic antigen and no previous biopsy. AJR Am J
Roentgenol. 2011;197(5):W876–81.
7. Wysock JS, Rosenkrantz AB, Huang WC, Stifelman
MD, Lepor H, Deng FM, etal. A prospective, blinded
comparison of magnetic resonance (MR) imagingultrasound fusion and visual estimation in the performance of MR-targeted prostate biopsy: the PROFUS
trial. Eur Urol. 2014;66(2):343–51.
8. Puech P, Rouviere O, Renard-Penna R, Villers A,
Devos P, Colombel M, etal. Prostate cancer diagnosis: multiparametric MR-targeted biopsy with cognitive and transrectal US-MR fusion guidance versus
systematic biopsy–prospective multicenter study.
Radiology. 2013;268(2):461–9.
9. Delongchamps NB, Peyromaure M, Schull A, Beuvon
F, Bouazza N, Flam T, et al. Prebiopsy magnetic
resonance imaging and prostate cancer detection:
comparison of random and targeted biopsies. J Urol.
2013;189(2):493–9.
10. Tonttila PP, Lantto J, Paakko E, Piippo U, Kauppila
S, Lammentausta E, et al. Prebiopsy multiparametric magnetic resonance imaging for prostate cancer
diagnosis in biopsy-naive men with suspected prostate cancer based on elevated prostate-specic antigen
values: results from a randomized prospective blinded
controlled trial. Eur Urol. 2015;69(3):419–25.
11. Cool DW, Zhang X, Romagnoli C, Izawa JI, Romano
WM, Fenster A.Evaluation of MRI-TRUS fusion versus cognitive registration accuracy for MRI-targeted,
TRUS-guided prostate biopsy. AJR Am J Roentgenol.
2015;204(1):83–91.
12. Izadpanahi MH, Elahian A, Gholipour F, Khorrami
MH, Zargham M, Mohammadi Sichani M, et al.
Diagnostic yield of fusion magnetic resonance-guided
prostate biopsy versus cognitive-guided biopsy
in biopsy-naive patients: a head-to-head randomized controlled trial. Prostate Cancer Prostatic Dis.
2021;24(4):1103–9.
13. Kwak JT, Hong CW, Pinto PA, Williams M, Xu S,
Kruecker J, et al. Is visual registration equivalent
to semiautomated registration in prostate biopsy?
Biomed Res Int. 2015;2015:394742.
14. Chang E, Jones TA, Natarajan S, Sharma D,
Simopoulos D, Margolis DJ, etal. Value of tracking
biopsy in men undergoing active surveillance of prostate cancer. J Urol. 2018;199(1):98–105.
15. Dix DB, McDonald AM, Gordetsky JB, Nix JW,
Thomas JV, Rais-Bahrami S. How would MRItargeted prostate biopsy alter radiation therapy
approaches in treating prostate cancer? Urology.
2018;122:139–46.
16. Fang AM, Burns ZR, Nocera AP, Cardan RA, Nix JW,
Porter KK, etal. Stereotactic body radiation therapy
with simultaneous integrated boost for prostate can-

18 Multiparametric MRI/TRUS Fusion Biopsy, Outcomes, andCommercial Systems
207
cer: does MRI-targeted biopsy alter the boost eld?
Can J Urol. 2021;28(5):10817–23.
17. Priester A, Fan RE, Shubert J, Rusu M, Vesal S, Shao
W, et al. Prediction and mapping of intraprostatic
tumor extent with articial intelligence. Eur Urol
Open Sci. 2023;13(54):20–7.
18. Penzkofer T, Tuncali K, Fedorov A, Song SE,
Tokuda J, Fennessy FM, et al. Transperineal inbore 3-T MR imaging-guided prostate biopsy: a
prospective clinical observational study. Radiology.
2015;274(1):170–80.
19. Robertson NL, Emberton M, Moore CM. MRItargeted prostate biopsy: a review of technique and
results. Nat Rev Urol. 2013;10(10):589–97.
20. Quentin M, Blondin D, Arsov C, Schimmoller L,
Hiester A, Godehardt E, et al. Prospective evaluation of magnetic resonance imaging guided inbore prostate biopsy versus systematic transrectal
ultrasound guided prostate biopsy in biopsy naive
men with elevated prostate specic antigen. J Urol.
2014;192(5):1374–9.
21. Roethke M, Anastasiadis AG, Lichy M, Werner M,
Wagner P, Kruck S, etal. MRI-guided prostate biopsy
detects clinically signicant cancer: analysis of a
cohort of 100 patients after previous negative TRUS
biopsy. World J Urol. 2012;30(2):213–8.
22. Schimmoller L, Blondin D, Arsov C, Rabenalt R,
Albers P, Antoch G, etal. MRI-guided in-bore biopsy:
differences between prostate cancer detection and
localization in primary and secondary biopsy settings.
AJR Am J Roentgenol. 2016;206(1):92–9.
23. Hambrock T, Hoeks C, van de Kaa Hulsbergen C,
Scheenen T, Futterer J, Bouwense S, etal. Prospective
assessment of prostate cancer aggressiveness using
3-T diffusion-weighted magnetic resonance imagingguided biopsies versus a systematic 10-core transrectal ultrasound prostate biopsy cohort. Eur Urol.
2012;61(1):177–84.
24. Recchimuzzi DZ, Diaz de Leon A, Pedrosa I,
Travalini D, Latin H, Goldberg K, etal. Direct MRIguided in-bore targeted biopsy of the prostate: a stepby- step how to and lessons learned. Radiographics.
2024;44(2):e230142.
25. Kongnyuy M, Frye T, George AK, Kilchevsky A,
Iyer A, Kadakia M, et al. A case of in-bore transperineal MRI-guided prostate biopsy of a patient
with ileal pouch-anal anastomosis. Case Rep Urol.
2015;2015:676930.
26. Pinto F, Totaro A, Palermo G, Calarco A, Sacco E,
D’Addessi A, etal. Imaging in prostate cancer staging: present role and future perspectives. Urol Int.
2012;88(2):125–36.
27. Chiragzada S, Hellman E, Michael D, Narayanan R,
Nacev A, Kumar D. Initial phantom studies for an
ofce-based low-eld MR system for prostate biopsy.
Int J Comput Assist Radiol Surg. 2021;16(5):741–8.
28. Xu S, Kruecker J, Turkbey B, Glossop N, Singh AK,
Choyke P, et al. Real-time MRI-TRUS fusion for
guidance of targeted prostate biopsies. Comput Aided
Surg. 2008;13(5):255–64.
29. Muller BG, Kaushal A, Sankineni S, Lita E, Hoang
AN, George AK, etal. Multiparametric magnetic resonance imaging-transrectal ultrasound fusion-assisted
biopsy for the diagnosis of local recurrence after
radical prostatectomy. Urol Oncol. 2015;33(10):425.
e1–6.
30. Okoro C, George AK, Siddiqui MM, Rais-Bahrami S,
Walton-Diaz A, Shakir NA, etal. Magnetic resonance
imaging/transrectal ultrasonography fusion prostate
biopsy signicantly outperforms systematic 12-core
biopsy for prediction of total magnetic resonance
imaging tumor volume in active surveillance patients.
J Endourol. 2015;29(10):1115–21.
31. Raskolnikov D, George AK, Rais-Bahrami S, Turkbey
B, Shakir NA, Okoro C, etal. Multiparametric magnetic resonance imaging and image-guided biopsy to
detect seminal vesicle invasion by prostate cancer. J
Endourol. 2014;28(11):1283–9.
32. Gold SA, Shih JH, Rais-Bahrami S, Bloom JB,
Vourganti S, Singla N, etal. When to biopsy the seminal vesicles: a validated multiparametric magnetic
resonance imaging and target driven model to detect
seminal vesicle invasion of prostate cancer. J Urol.
2019;201(5):943–9.
33. Baumgartner EM, Porter KK, Nix JW, Rais-Bahrami
S, Gordetsky JB.Detection of extraprostatic disease
and seminal vesicle invasion in patients undergoing
magnetic resonance imaging-targeted prostate biopsies. Transl Androl Urol. 2018;7(Suppl 4):S392–6.
34. Rosenkrantz AB, Verma S, Choyke P, Eberhardt SC,
Eggener SE, Gaitonde K, et al. Prostate magnetic
resonance imaging and magnetic resonance imaging targeted biopsy in patients with a prior negative
biopsy: a consensus statement by AUA and SAR.J
Urol. 2016;196(6):1613–8.
35. Sidana A, Watson MJ, George AK, Rastinehad AR,
Vourganti S, Rais-Bahrami S, et al. Fusion prostate biopsy outperforms 12-core systematic prostate
biopsy in patients with prior negative systematic
biopsy: a multi-institutional analysis. Urol Oncol.
2018;36(7):341.e1–7.
36. Glaser ZA, Porter KK, Thomas JV, Gordetsky JB,
Rais-Bahrami S. MRI ndings guiding selection of
active surveillance for prostate cancer: a review of
emerging evidence. Transl Androl Urol. 2018;7(Suppl
4):S411–9.
37. Kasivisvanathan V, Rannikko AS, Borghi M,
Panebianco V, Mynderse LA, Vaarala MH, etal. MRItargeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med. 2018;378(19):1767–77.
38. Sonn GA, Chang E, Natarajan S, Margolis DJ,
Macairan M, Lieu P, etal. Value of targeted prostate
biopsy using magnetic resonance-ultrasound fusion in
men with prior negative biopsy and elevated prostatespecic antigen. Eur Urol. 2014;65(4):809–15.
39. Vourganti S, Rastinehad A, Yerram NK, Nix J, Volkin
D, Hoang A, et al. Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect
prostate cancer in patients with prior negative transrectal ultrasound biopsies. J Urol. 2012;188(6):2152–7.

208
S. Rais-Bahrami et al.
40. Salami SS, Ben-Levi E, Yaskiv O, Ryniker L, Turkbey
B, Kavoussi LR, et al. In patients with a previous
negative prostate biopsy and a suspicious lesion on
magnetic resonance imaging, is a 12-core biopsy still
necessary in addition to a targeted biopsy? BJU Int.
2015;115(4):562–70.
41. Fascelli M, George AK, Frye T, Turkbey B, Choyke
PL, Pinto PA.The role of MRI in active surveillance
for prostate cancer. Curr Urol Rep. 2015;16(6):42.
42. Hu JC, Chang E, Natarajan S, Margolis DJ, Macairan
M, Lieu P, et al. Targeted prostate biopsy in select
men for active surveillance: do the Epstein criteria
still apply? J Urol. 2014;192(2):385–90.
43. Stamatakis L, Siddiqui MM, Nix JW, Logan J, RaisBahrami S, Walton-Diaz A, etal. Accuracy of multiparametric magnetic resonance imaging in conrming
eligibility for active surveillance for men with prostate cancer. Cancer. 2013;119(18):3359–66.
44. Abdi H, Pourmalek F, Zargar H, Walshe T, Harris AC,
Chang SD, etal. Multiparametric magnetic resonance
imaging enhances detection of signicant tumor in
patients on active surveillance for prostate cancer.
Urology. 2015;85(2):423–8.
45. Sonn GA, Filson CP, Chang E, Natarajan S, Margolis
DJ, Macairan M, et al. Initial experience with electronic tracking of specic tumor sites in men undergoing active surveillance of prostate cancer. Urol Oncol.
2014;32(7):952–7.
46. Lai WS, Gordetsky JB, Thomas JV, Nix JW, RaisBahrami S. Factors predicting prostate cancer
upgrading on magnetic resonance imaging-targeted
biopsy in an active surveillance population. Cancer.
2017;123(11):1941–8.
47. Walton Diaz A, Shakir NA, George AK, Rais-Bahrami
S, Turkbey B, Rothwax JT, etal. Use of serial multiparametric magnetic resonance imaging in the management of patients with prostate cancer on active
surveillance. Urol Oncol. 2015;33(5):202.e1–7.
48. Volkin D, Turkbey B, Hoang AN, Rais-Bahrami S,
Yerram N, Walton-Diaz A, et al. Multiparametric
magnetic resonance imaging (MRI) and subsequent
MRI/ultrasonography fusion-guided biopsy increase
the detection of anteriorly located prostate cancers.
BJU Int. 2014;114(6b):E43–9.
49. Nix JW, Turkbey B, Hoang A, Volkin D, Yerram N,
Chua C, et al. Very distal apical prostate tumours:
identication on multiparametric MRI at 3 tesla. BJU
Int. 2012;110(11 Pt B):E694–700.
50. Sankineni S, George AK, Brown AM, Rais-Bahrami
S, Wood BJ, Merino MJ, et al. Posterior subcapsular prostate cancer: identication with mpMRI and
MRI/TRUS fusion-guided biopsy. Abdom Imaging.
2015;40(7):2557–65.
51. Kongnyuy M, Sidana A, George AK, Muthigi A, Iyer
A, Fascelli M, etal. The signicance of anterior prostate lesions on multiparametric magnetic resonance
imaging in African-American men. Urol Oncol.
2016;34(6):254.e15–21.
52. Wang S, Burtt K, Turkbey B, Choyke P, Summers
RM.Computer aided-diagnosis of prostate cancer on
multiparametric MRI: a technical review of current
research. Biomed Res Int. 2014;2014:789561.
53. Sonn GA, Margolis DJ, Marks LS.Target detection:
magnetic resonance imaging-ultrasound fusion-guided
prostate biopsy. Urol Oncol. 2014;32(6):903–11.
54. Hadaschik BA, Kuru TH, Tulea C, Rieker P, Popeneciu
IV, Simpfendorfer T, etal. A novel stereotactic prostate biopsy system integrating pre-interventional magnetic resonance imaging and live ultrasound fusion. J
Urol. 2011;186(6):2214–20.
55. Natarajan S, Marks LS, Margolis DJ, Huang J,
Macairan ML, Lieu P, etal. Clinical application of a
3D ultrasound-guided prostate biopsy system. Urol
Oncol. 2011;29(3):334–42.
56. Ukimura O, Desai MM, Palmer S, Valencerina S,
Gross M, Abreu AL, etal. 3-dimensional elastic registration system of prostate biopsy location by realtime 3-dimensional transrectal ultrasound guidance
with magnetic resonance/transrectal ultrasound image
fusion. J Urol. 2012;187(3):1080–6.
57. Nyarangi-Dix J, Wiesenfarth M, Bonekamp D,
Hitthaler B, Schütz V, Dieffenbacher S, et al.
Combined clinical parameters and multiparametric
magnetic resonance imaging for the prediction of
extraprostatic disease-a risk model for patient-tailored
risk stratication when planning radical prostatectomy. Eur Urol Focus. 2020;6(6):1205–12.
58. Gordetsky J, Rais-Bahrami S, Epstein JI.Pathological
ndings in multiparametric magnetic resonance imaging/ultrasound fusion-guided biopsy: relation to prostate cancer focal therapy. Urology. 2017;105:18–23.
59. Scheltema MJ, Tay KJ, Postema AW, de Bruin DM,
Feller J, Futterer JJ, etal. Utilization of multiparametric prostate magnetic resonance imaging in clinical
practice and focal therapy: report from a Delphi consensus project. World J Urol. 2017;35(5):695–701.
60. Kaneko M, Fukuda N, Nagano H, Yamada K, Yamada
K, Konishi E, etal. Articial intelligence trained with
integration of multiparametric MR-US imaging data
and fusion biopsy trajectory-proven pathology data
for 3D prediction of prostate cancer: a proof-ofconcept study. Prostate. 2022;82(7):793–803.
61. Stangl-Kremser J, Ramaswamy A, Hu
JC. Transperineal vs. transrectal biopsy to
reduce postinterventional sepsis. Curr Opin Urol.
2023;33(3):193–9.
62. Loeb S, Vellekoop A, Ahmed HU, Catto J, Emberton
M, Nam R, etal. Systematic review of complications
of prostate biopsy. Eur Urol. 2013;64(6):876–92.
63. Wagenlehner FM, van Oostrum E, Tenke P, Tandogdu
Z, Cek M, Grabe M, et al. Infective complications
after prostate biopsy: outcome of the global prevalence study of infections in urology (GPIU) 2010 and
2011, a prospective multinational multicentre prostate
biopsy study. Eur Urol. 2013;63(3):521–7.
64. Nam RK, Saskin R, Lee Y, Liu Y, Law C, Klotz LH,
etal. Increasing hospital admission rates for urological complications after transrectal ultrasound guided
prostate biopsy. J Urol. 2013;189(1 Suppl):S12–7;
discussion S7–8.

18 Multiparametric MRI/TRUS Fusion Biopsy, Outcomes, andCommercial Systems
209
65. Grummet JP, Weerakoon M, Huang S, Lawrentschuk
N, Frydenberg M, Moon DA, etal. Sepsis and ‘superbugs’: should we favour the transperineal over the
transrectal approach for prostate biopsy? BJU Int.
2014;114(3):384–8.
66. Hu JC, Assel M, Allaf ME, Ehdaie B, Vickers
AJ, Cohen AJ, et al. Transperineal versus transrectal magnetic resonance imaging-targeted and
systematic prostate biopsy to prevent infectious
complications: the PREVENT randomized trial. Eur
Urol. 2024;86(1):61–8. https://doi.org/10.1016/j.
eururo.2023.12.015.
67. Womble PR, Linsell SM, Gao Y, Ye Z, Montie
JE, Gandhi TN, et al. A statewide intervention to
reduce hospitalizations after prostate biopsy. J Urol.
2015;194(2):403–9.
68. Hong CW, Rais-Bahrami S, Walton-Diaz A, Shakir
N, Su D, George AK, etal. Comparison of magnetic
resonance imaging and ultrasound (MRI-US) fusionguided prostate biopsies obtained from axial and sagittal approaches. BJU Int. 2015;115(5):772–9.
69. Rastinehad AR, Abboud SF, George AK, Frye T, Ho
R, Chelluri R, etal. Reproducibility of multiparametric MRI and fusion-guided prostate biopsy: multiinstitutional external validation by a propensity score
matched cohort. J Urol. 2016;193(4):e90–1.
70. Turkbey B, Xu S, Kruecker J, Locklin J, Pang
Y, Bernardo M, et al. Documenting the location
of prostate biopsies with image fusion. BJU Int.
2011;107(1):53–7.
71. Mauri G, De Beni S, Forzoni L, D'Onofrio S,
Kolev V, Lagana MM, et al. Virtual navigator
automatic registration technology in abdominal
application. Conf Proc IEEE Eng Med Biol Soc.
2014;2014:5570–4.
72. Di Mauro E, Solbiati M, De Beni S, Forzoni L,
D’Onofrio S, Solbiati L. Virtual navigator real-time
ultrasound fusion imaging with positron emission
tomography for liver interventions. Conf Proc IEEE
Eng Med Biol Soc. 2013;2013:1406–9.
73. Uematsu T, Takahashi K, Nishimura S, Watanabe
J, Yamasaki S, Sugino T, et al. Real-time virtual
sonography examination and biopsy for suspicious
breast lesions identied on MRI alone. Eur Radiol.
2015;26(4):1064–72.
74. Oshima T, Nakase J, Numata H, Takata Y, Tsuchiya
H. Ultrasonography imaging of the anterolateral
ligament using real-time virtual sonography. Knee.
2016;23(2):198–202.
75. Miyagawa T, Ishikawa S, Kimura T, Suetomi T,
Tsutsumi M, Irie T, et al. Real-time virtual sonography for navigation during targeted prostate biopsy
using magnetic resonance imaging data. Int J Urol.
2010;17(10):855–60.
76. Kaye DR, Stoianovici D, Han M.Robotic ultrasound
and needle guidance for prostate cancer management:
review of the contemporary literature. Curr Opin
Urol. 2014;24(1):75–80.
77. Kuru TH, Roethke MC, Seidenader J, Simpfendorfer
T, Boxler S, Alammar K, et al. Critical evalu-
ation of magnetic resonance imaging targeted,
transrectal ultrasound guided transperineal fusion
biopsy for detection of prostate cancer. J Urol.
2013;190(4):1380–6.
78. Shoji S, Hiraiwa S, Endo J, Hashida K, Tomonaga
T, Nakano M, et al. Manually controlled targeted
prostate biopsy with real-time fusion imaging of
multiparametric magnetic resonance imaging and
transrectal ultrasound: an early experience. Int J Urol.
2015;22(2):173–8.
79. Tewes S, Hueper K, Hartung D, Imkamp F, Herrmann
TR, Weidemann J, etal. Targeted MRI/TRUS fusionguided biopsy in men with previous prostate biopsies
using a novel registration software and multiparametric MRI PI-RADS scores: rst results. World J Urol.
2015;33(11):1707–14.
80. Valerio M, McCartan N, Freeman A, Punwani S,
Emberton M, Ahmed HU. Visually directed vs.
software-based targeted biopsy compared to transperineal template mapping biopsy in the detection
of clinically signicant prostate cancer. Urol Oncol.
2015;33(10):424.e9–16.
81. Rud E, Baco E, Eggesbo HB. MRI and ultrasoundguided prostate biopsy using soft image fusion.
Anticancer Res. 2012;32(8):3383–9.
82. Valerio M, Donaldson I, Emberton M, Ehdaie B,
Hadaschik BA, Marks LS, etal. Detection of clinically signicant prostate cancer using magnetic resonance imaging-ultrasound fusion targeted biopsy: a
systematic review. Eur Urol. 2015;68(1):8–19.
83. Siddiqui MM, Rais-Bahrami S, Turkbey B, George
AK, Rothwax J, Shakir N, etal. Comparison of MR/
ultrasound fusion-guided biopsy with ultrasoundguided biopsy for the diagnosis of prostate cancer.
JAMA. 2015;313(4):390–7.
84. Rastinehad AR, Turkbey B, Salami SS, Yaskiv
O, George AK, Fakhoury M, et al. Improving
detection of clinically signicant prostate cancer: magnetic resonance imaging/transrectal
ultrasound fusion guided prostate biopsy. J Urol.
2014;191(6):1749–54.
85. Salami SS, Vira MA, Turkbey B, Fakhoury M,
Yaskiv O, Villani R, et al. Multiparametric magnetic resonance imaging outperforms the prostate
cancer prevention trial risk calculator in predicting clinically signicant prostate cancer. Cancer.
2014;120(18):2876–82.
86. Frye TP, Pinto PA, George AK. Optimizing
patient population for MP-MRI and fusion biopsy
for prostate cancer detection. Curr Urol Rep.
2015;16(7):50.
87. Wang NN, Zhou SR, Chen L, Tibshirani R, Fan RE,
Ghanouni P, etal. The Stanford prostate cancer calculator: development and external validation of online
nomograms incorporating PIRADS scores to predict
clinically signicant prostate cancer. Urol Oncol.
2021;39(12):831.e19–27.
88. Truong M, Wang B, Gordetsky JB, Nix JW, Frye TP,
Messing EM, et al. Multi-institutional nomogram
predicting benign prostate pathology on magnetic

210
S. Rais-Bahrami et al.
resonance/ultrasound fusion biopsy in men with a
prior negative 12-core systematic biopsy. Cancer.
2018;124(2):278–85.
89. Bjurlin MA, Renson A, Rais-Bahrami S, Truong M,
Rosenkrantz AB, Huang R, etal. Predicting benign
prostate pathology on magnetic resonance imaging/ultrasound fusion biopsy in men with a prior
negative 12-core systematic biopsy: external validation of a prognostic nomogram. Eur Urol Focus.
2019;5(5):815–22.
90. Patel HD, Koehne EL, Shea SM, Bhanji Y, Gerena M,
Gorbonos A, etal. Risk of prostate cancer for men
with prior negative biopsies undergoing magnetic
resonance imaging compared with biopsy-naive men:
a prospective evaluation of the PLUM cohort. Cancer.
2022;128(1):75–84.
91. Brinkley GJ, Fang AM, Rais-Bahrami
S. Integration of magnetic resonance imaging
into prostate cancer nomograms. Ther Adv Urol.
2022;14:17562872221096386.
92. Rastinehad AR, Durand M. A comparison of
magnetic resonance imaging and ultrasonography (MRI/US)-fusion guided prostate biopsy
devices: too many uncontrolled variables. BJU Int.
2016;117(3):392–400.
93. Tay KJ, Gupta RT, Rastinehad AR, Tsivian E,
Freedland SJ, Moul JW, etal. Navigating MRI-TRUS
fusion biopsy: optimizing the process and avoiding technical pitfalls. Expert Rev Anticancer Ther.
2016;16(3):303–11.

Comparison ofOutcomes
withTransperineal Versus
Transrectal Image-Targeted
Prostate Biopsy
JodieMcDonald, GiancarloMarra, PaoloGontero,
andJeremyGrummet
19
Introduction
Despite advances in biochemical and radiological investigations for prostate cancer (PCa), diagnosis, and subsequent treatment require a
histopathological diagnosis via prostate biopsy.
Approximately 20,000 patients undergo prostate
biopsy annually in Australia alone [1], making it
one of the most commonly performed diagnostic
surgical procedures. Therefore, it is essential that
prostate biopsy is safe, accessible, and accurately
diagnoses cancers that may have a clinical impact
on patients’ life expectancy—clinically signicant (cs) PCa. Multiparametric (mp) magnetic
resonance imaging (MRI) has revolutionised the
workup of PCa by not only to allow clinicians to
avoid an unnecessary biopsy when negative but
also to visualise and subsequently target lesions
on biopsy. Image-guided biopsy diagnoses more
csPCa compared with non-targeted biopsy and
diagnoses less clinically insignicant PCa [2, 3].
This has informed international guidelines, which
recommend patients receive a prebiopsy mpMRI
J. McDonald (*)
Department of Urology, St Vincents Hospital
Melbourne, Melbourne, VIC, Australia
G. Marra · P. Gontero
Molinette Hospital, Turin, Italy
e-mail: paolo.gontero@unito.it
J. Grummet
Department of Surgery, Central Clinical School,
Monash University, Melbourne, VIC, Australia
and subsequent targeted biopsy, with or without
concurrent systematic biopsy [4, 5].
Biopsy cores may be obtained via either the
transrectal (TR) or transperineal (TP) approach.
TR biopsy has been the traditional approach, but
accumulating evidence has shown advantages for
the TP route.
Systematic prostate biopsy performed via the
transrectal (TR) route involves the operator sampling between 10 and 12 untargeted cores under
TR ultrasound (US) guidance. TR biopsy continues to be commonly performed around the world
due to its easy accessibility and ability to be performed in an outpatient setting under local anaesthesia (LA). The biopsy needle passes through
the rectal wall with every core taken, and postprocedure sepsis is estimated to occur in approximately 1.5–3.3% [6, 7]. It has been observed that
there is a lower pathogenic bacterial load in the
biopsy tissue following TP biopsy compared with
TR biopsy, indicating that the rectal passage of
the TR trocar inoculates rectal ora into the prostate and may explain the difference in postprocedure sepsis [8]. The use of either targeted
antibiotics, tailored by patients’ rectal swabs, or
empiric quinolone antibiotic prophylaxis prior to
TR biopsy is common practice, and have been
supported by several international guidelines [4,
5]. There are, however, growing concerns relat-
ing to increasing quinolone-resistant rectal ora,
which some studies demonstrate are harboured
by almost half of the patients [9].
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
T. J. Polascik et al. (eds.), Imaging and Focal Therapy of Early Prostate Cancer,
https://doi.org/10.1007/978-3-031-66754-1_19
211

212
J. McDonald et al.
The transperineal (TP) approach avoids the
rectum and its associated ora and accesses the
prostate via the perineal skin, systematically
sampling the same number of cores recommended for transrectal biopsies [10]. Patients
receive a rst-generation cephalosporin as antibiotic prophylaxis, with the risk of sepsis approaching zero [11]. Some recent studies are showing a
similar rate of infection with no prophylaxis at all
[12]. The angle of biopsy needle penetration is
parallel to the long axis of the prostate, which
allows for superior access to the anterior and apical prostate [13]. As demonstrated by studies
looking at MRI in-bore biopsies, these areas are
the most likely to be missed via TRUS biopsy
[14]. Historically, the disadvantage of TP biopsy
was thought to be its requirement to be performed
under general anaesthesia (GA) in an operating
room setting. This resource burden has contributed to the slow uptake of this technique globally; however, recent large studies have
demonstrated that performing TP biopsy under
LA is feasible, with similar outcomes compared
to the standard GA approach in regards to postoperative pain scores and complication rates [15,
16], as well as diagnosis of csPCa [17].
Image-targeted biopsy can be achieved via
three main techniques: cognitive fusion, where
the operator has visualised the lesion on mpMRI
and subsequently targets the suspicious area with
TRUS guidance; MRI-US fusion, which uses
various commercial software algorithms to
superimpose the mpMRI images with the intraoperative TRUS and guide the urologist preforming the biopsy; and in-bore fusion, which takes
place within the MRI room itself, and the biopsy
and MRI are performed simultaneously. Many of
the commercial software products available for
MRI-US fusion were initially developed based
on the TR approach but are now also available for
the TP route.
With the growing use of prostate-specic
membrane antigen (PSMA) positron emission
tomography (PET), PSMA PET-targeted biopsy
is an emerging technique. PSMA PET is currently utilised to stage biopsy-conrmed PCa but
also has high diagnostic accuracy when identifying high-risk PCa [19]. Small studies have looked
at PSMA PET in the pre-biopsy population and
subsequent PSMA PET/MRI-guided biopsy with
promising results [20]. Minimal data exist comparing outcomes between TP and TR approaches
in a PSMA PET-guided population and will not
be a focus of this chapter.
Detection ofClinically Signicant
Cancer
Several studies have examined the difference in
diagnosis of csPCa between image-targeted TP
and TR approaches. Pepe et al. were the rst
group to perform and compare cognitive TP and
MRI-US fusion TR biopsies in the same patients
[21]. The detection of csPCa (Gleason ≥3+4=7,
in >2 cores) was higher in the TP group vs. the
TR group (89.1% vs. 78.1%), and the TP
approach diagnosed signicantly more csPCa in
the anterior zone compared to the TR approach
(86.7% vs. 46.7% P = 0.0001). Further to this,
Pepe etal. published another series showing that
the TP approach diagnosed signicantly more
csPCa in the anterior zone compared to the TR
approach (93.3% vs. 25%, P=0.0001) [22]. Ber
and colleagues performed targeted biopsy with
MRI-US fusion via both TR and TP approaches
in the same patient and reported signicantly
higher detection of csPCa in the TP approach (32
patients) versus the TR-fusion approach (20
patients), with the absolute difference for detection of csPCa being 15.6 (90% CI 27.9–3.2) in
favour of TP-fusion (P = 0.029). This was
reported over all subgroups assessing size, location, PI-RADS, PSA, and biopsy history [23].
Reinforcing these results, a large multicentre
retrospective cohort study looked at over 5000
patients and found that targeted biopsy via the TP
route was an independent predictor of diagnosing
csPCa (1.19, 95% CI 1.12–1.50), and had a
higher likelihood of detecting apical (OR 4.81,
95% CI 1.03–6.27), transitional zone (OR 2.67,
95% CI 1.42–5.0) and anterior zone tumours (OR
5.62, 95% CI 1.74–8.13) [24]. Similarly, a
matched analysis by Koparal et al. retrospectively assessed 508 patients undergoing TR and
276 patients undergoing TP MRI-US fusion
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