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18 Multiparametric MRI/TRUS Fusion Biopsy, Outcomes, andCommercial Systems
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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 workow 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 specic 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 signicantly 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±1.7mm 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 3Tesla MRI, respec­tively [77]. On a core-by-core analysis, targeted
cores detected signicantly 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 benet 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 sig­nicantly 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-
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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%, specicity 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 etal. 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 signicant disease relative to visually directed (cognitive) targeted biopsy, but this increased yield was not statistically signicant (22% vs. 14%, p=0.48). Therefore, more high­powered studies may be necessary to demon­strate signicant differences in the detection of clinically signicant 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 conrm 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 conrmed biopsy inside target), and 60/115 (52%) targets were positive for cancer [81]. Mozer etal., 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 signicantly 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
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directed toward specic 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 specic location(s) in which there are image-identied 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 condence, and allows tissue sampling with image colocal­ization to provide better certainty of diagnosis, risk stratication, 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 [8285]. A major criticism of systematic biopsy is the tendency to indiscriminately iden­tify more clinically insignicant, 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 strati­cation and, subsequently, more patient-specic, 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 dene the specic patient population that benets 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 signicant 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 sig­nicant difculty 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 [8791].
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 difcult, as denitions, clinical parameters, workow, 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, deni­tion of clinically signicant cancer, etc.) [92].

Conclusion

Due to the proven success of use, the use of software- based MRI/TRUS fusion targeted biopsy platforms has become signicantly 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
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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 ofce-based procedures empower the urologist to specically 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 dene whether technological progress provides a favorable cost/ benet 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 benet most.

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Comparison ofOutcomes withTransperineal Versus Transrectal Image-Targeted Prostate Biopsy
JodieMcDonald, GiancarloMarra, PaoloGontero, andJeremyGrummet
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 signi­cant (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 insignicant 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
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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-specic membrane antigen (PSMA) positron emission tomography (PET), PSMA PET-targeted biopsy is an emerging technique. PSMA PET is cur­rently utilised to stage biopsy-conrmed 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 ofClinically Signicant 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 signicantly more csPCa in the anterior zone compared to the TR approach (86.7% vs. 46.7% P = 0.0001). Further to this, Pepe etal. published another series showing that the TP approach diagnosed signicantly 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 signicantly 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