1. Introduction
Prostate cancer (PCa) remains the second-most frequently diagnosed malignancy and the fifth leading cause of cancer-related mortality in men worldwide [
1]. Its clinical course is highly variable, ranging from indolent tumors suitable for active surveillance to aggressive disease requiring immediate treatment. This heterogeneity highlights the need to accurately distinguish clinically significant prostate cancer (csPCa), usually defined as ISUP-grade group ≥ 2, from low-risk disease that may not require immediate intervention. Overdiagnosis of insignificant cancer can lead to overtreatment, exposing patients to unnecessary risks and side effects [
2,
3].
Multiparametric magnetic resonance imaging (mpMRI) has become a cornerstone in the diagnostic workup of PCa, enabling non-invasive detection, localization, and risk stratification of prostate lesions. mpMRI demonstrates high sensitivity for detecting csPCa, especially in lesions exceeding 10 mm in diameter, and has contributed to a paradigm shift in biopsy guidance strategies [
4]. When suspicion arises due to elevated prostate-specific antigen (PSA) levels or an abnormal digital rectal examination (DRE), mpMRI is now a widely accepted next diagnostic step [
5,
6].
MRI-targeted biopsy (MRI-TB)—whether performed via cognitive guidance, MRI–ultrasound fusion software, or direct in-bore techniques—has been shown to improve the detection of csPCa and reduce the diagnosis of ISUP grade 1 cancers, thereby mitigating the risk of overtreatment when compared to conventional systematic biopsy (SB) [
7,
8,
9,
10]. Accordingly, both the American Urological Association (AUA) and European Association of Urology (EAU) recommend performing MRI-TB in patients with suspicious lesions on MRI, both in biopsy-naïve patients and in those with previous negative biopsies [
5,
6].
Despite the advantages of MRI-TB, the role of systematic biopsy (SB) remains contentious. While SB may increase the detection of insignificant cancers and lead to overtreatment [
11,
12], it may also uncover csPCa that is missed by targeted approaches [
7]. This has led to ongoing debate about the added value of combining MRI-TB with SB, especially in the context of imaging-guided precision medicine.
To address this controversy, we conducted a retrospective study at our institution where transperineal MRI–US fusion-guided biopsies are routinely performed combined with systematic sampling to ensure maximal detection of csPCa. In this study, we evaluated the diagnostic accuracy and histological outcomes of targeted biopsy, systematic biopsy, and their combination in detecting PCa and csPCa. We also examined the correlation between PI-RADS scores and biopsy results, providing insight into the real-world accuracy of mpMRI-guided diagnostics. Our findings aim to clarify the relative contributions of targeted and systematic biopsy approaches and inform clinical decision making in prostate cancer diagnostics.
2. Materials and Methods
We retrospectively analyzed 356 patients who underwent transperineal MRI-TB and SB at our hospital between 2020 and 2023. Patients with an elevated PSA level or suspicious DRE and having at least one lesion Prostate Imaging-Reporting and Data System (PI-RADS) score of ≥3 were included in the study. All mpMRI examinations were interpreted by certified radiologists, specializing in genitourinary radiology. PI-RADS v2.1 scores were assigned prospectively as part of the clinical routine. All mpMRI examinations were performed on 3 Tesla scanners (Siemens Healthineers or GE Healthcare) using a standardized protocol in accordance with PI-RADS v2.1 recommendations. Sequences included high-resolution T2-weighted imaging (T2WI) in sagittal, axial, and coronal planes; diffusion-weighted imaging (DWI) with b-values of 0, 100, and 1000 and calculated 1500 s/mm
2; and dynamic contrast-enhanced (DCE) imaging with 12 temporal phases (1 every 15 s) after two baseline acquisitions. The acquisition parameters are summarized in
Supplementary Table S1. All scans used identical parameters across patients to ensure reproducibility. Additionally, patients with previous negative biopsy or in active surveillance were also included. All lesions detected by MRI were biopsied via the transperineal approach using the KOELIS MRI-US fusion platform (Koelis Trinity, Meyland, France). The systematic biopsies were performed with the transperineal approach in the same session, without avoiding the target lesions. The systematic biopsy protocol was uniform across patients but adjusted for prostate volume. For prostates ≤ 80 g, 16 cores were obtained—4 from the anterior region and 4 from the posterior region of each lobe. For prostates > 80 g and longer than 3 cm in longitudinal dimension, an additional 4 basal cores per lobe were taken, resulting in 24 total cores. This sampling strategy ensured adequate representation of both anterior and posterior regions, as well as basal areas in larger glands. The interval between mpMRI and biopsy ranged from 2 to 5 months, with no intervening therapy during this period.
The following baseline and clinical characteristics were noted for all eligible: age, PSA, prostate volume (PV), PSA density (PSAD), number of lesions, MRI location of lesions, MRI size of lesions, and PI-RADS score of the lesions. The following histopathological data were collected: Gleason score and ISUP grade total of each lesion and separated by MRI-TB and SB.
For this study, csPCa was defined by the presence of a Gleason score of 3 + 4 (ISUP 2) or higher. The ISUP grades were assigned according to the 2014 ISUP Consensus Conference, as follows: ISUP1 = Gleason score 6, ISUP 2 = 3 + 4, ISUP 3 = 4 + 3, ISUP 4 = Gleason score 8, and ISUP 5 = Gleason scores 9–10 [
13]. The MRI-TB was performed using the Koelis system under sedation and outpatient regimen.
Statistical analyses were performed to evaluate the diagnostic performance of MRI–US fusion-TB, SB, and the combination of both techniques for prostate cancer detection. Descriptive statistics were used to summarize the patient demographics and lesion characteristics, including the median and interquartile range (IQR) for continuous variables and frequencies with percentages for categorical variables. The Wilcoxon rank sum test, Pearson’s chi-squared test, and Fisher’s exact test were used to check for statistical significance as appropriate.
For group comparisons, Pearson’s chi-squared test was used to assess differences in detection rates of prostate cancer, PCa and csPCa, between TB and SB. The sensitivity, specificity, and overall accuracy of each biopsy approach were calculated using the combined result of the TB and SB as the reference standard. Receiver operating characteristic (ROC) curve analysis was also performed to evaluate and compare the discriminatory performance of TB and SB for cancer detection.
The ISUP grade concordance between targeted and systematic biopsies was analyzed to determine the proportion of lesions with identical grades, upgrades (ISUP higher in TB), or downgrades (ISUP higher in SB). These are reported as absolute counts and percentages.
Subgroup analyses were performed by stratifying lesions according to the following clinical indications: patients under active surveillance (AS) and patients undergoing diagnostic biopsy. All statistical tests were two-tailed, and a p-value of <0.05 was considered statistically significant.
All analyses were performed using R statistical software, version 4.5.0 (R Foundation for Statistical Computing, Vienna, Austria,
https://www.R-project.org, accessed on 13 May 2025).
3. Results
A total of 356 patients underwent MRI–US fusion-targeted biopsy (TB) and systematic biopsy (SB), with a combined total of 452 lesions analyzed. The baseline clinical and imaging characteristics of the 452 lesions are summarized in
Table 1.
3.1. Study Cohort Characteristics
The median age of the overall population was 68 years (IQR: 62–74). PSA density had a median value of 0.11 ng/mL/cm3 (IQR: 0.07–0.17), and serum PSA levels had a median of 6.1 ng/mL (IQR: 4.6–8.4). Age, PSA, and PSA density did not differ significantly between patients under active surveillance and those undergoing initial biopsy (all p > 0.05).
In the overall cohort, 290 lesions (64%) were from patients with only one suspicious lesion, while 162 lesions (36%) were from patients with two lesions on MRI.
Regarding prior biopsy status, 255 lesions (56%) came from patients without previous biopsy, and 108 lesions (24%) were from patients with a prior negative biopsy. Notably, 89 lesions (20%) were from patients under active surveillance, all of whom had previously confirmed PCa.
The following are reported in terms of lesion risk stratification by PI-RADS score:
PI-RADS 3: 88 lesions (20%);
PI-RADS 4: 309 lesions (68%);
PI-RADS 5: 55 lesions (12%).
There were no significant differences in PI-RADS distribution between patients under surveillance and the rest of the cohort (p = 0.7).
Lesions were also categorized by simplified anatomical location, as follows:
No statistically significant differences were observed between groups in terms of the simplified location of the lesion (p = 0.5).
Of the 452 lesions analyzed, 323 (71%) were diagnosed as prostate cancer (PCa). Among these, 223 lesions (49%) were classified as clinically significant PCa (csPCa), defined as an ISUP grade ≥ 2, while 100 lesions (22%) were non-clinically significant (ISUP 1). The remaining 129 lesions (29%) were benign.
When stratified by clinical context, lesions from patients under active surveillance had a higher overall cancer detection rate, with 82 of 89 lesions (92%) showing PCa compared to 66% (241/363) in patients undergoing initial or repeat diagnostic biopsy (p < 0.001). However, the proportion of csPCa among positive cases was similar between the groups, as follows: 65% (53/82) in the AS group and 71% (170/241) in the diagnostic group (p = 0.3). These findings suggest that despite a prior cancer diagnosis, a substantial proportion of active surveillance patients harbored csPCa at re-biopsy, supporting the continued role of combined biopsy techniques in this subgroup.
3.2. Cancer Detection Rates of Targeted and Systematic Biopsies
Targeted biopsy detected PCa in 286 of 452 lesions (63%), while systematic biopsy identified PCa in 260 of 452 lesions (58%). Although TB had a slightly higher detection rate, the difference was not statistically significant (p = 0.077).
For csPCa, TB detected 191 lesions (42%), significantly more than the 151 lesions (33%) identified by SB (
p = 0.023), indicating greater efficacy of the targeted approach in detecting clinically relevant disease (
Table 2).
3.2.1. Diagnostic Performance
The diagnostic performance of each biopsy technique for detecting csPCa was evaluated using the combined results of both the targeted and systematic biopsies as the reference standard. As shown in
Table 3, targeted biopsy demonstrated a sensitivity of 93.7%, a specificity of 66.4%, and an overall accuracy of 79.9%. In comparison, systematic biopsy yielded a sensitivity of 85.7%, a specificity of 69.9%, and an accuracy of 77.6%. These results highlight the higher sensitivity and overall diagnostic accuracy of targeted biopsy, while systematic biopsy provided a marginally higher specificity.
The ROC analysis for the detection of prostate cancer showed an area under the curve (AUC) of 0.778 for SB and 0.801 for TB, with TB demonstrating higher discriminatory ability for cancer detection (
Figure 1).
3.2.2. Additional Value of Systematic Biopsy
While MRI–US fusion-targeted biopsy demonstrated superior sensitivity and clinically significant cancer detection overall, systematic biopsy still provided relevant diagnostic benefit. Among all lesions, 37 (8.2%) were diagnosed exclusively by systematic biopsy and would have been missed had only targeted sampling been performed.
Moreover, the ISUP grade comparison between the biopsy methods revealed that for 79 lesions (24%), the ISUP grade was higher on systematic biopsy than on targeted biopsy. Importantly, 32 lesions (9.9%) were classified as csPCa, indicating the role of systematic biopsy in detecting not only additional cancers but also tumors of higher prognostic relevance that may alter clinical management (
Figure 2).
3.3. Correlation Between PI-RADS Score and Detection of Clinically Significant Cancer
A statistically significant correlation was found between the PI-RADS score on mpMRI and the likelihood of detecting clinically significant prostate cancer (csPCa) (
p < 0.001). Among the 88 lesions scored as PI-RADS 3, csPCa was identified in 23% (20/88). This rate increased markedly for PI-RADS 4 lesions, with 53% (163/309) harboring csPCa, and was the highest among the PI-RADS 5 lesions, where 73% (40/55) were clinically significant. These findings confirm the strong predictive value of the PI-RADS classification system for stratifying cancer risk and guiding biopsy decisions. The diagnostic accuracy of mpMRI is shown in
Table 4. An example of a PI-RADS 4 lesion detected on mpMRI and confirmed as csPCa on biopsy is shown in
Figure 3.
4. Discussion
The integration of mpMRI into the diagnostic pathway for PCa has significantly improved the detection of csPCa while reducing the overdiagnosis of indolent disease [
4,
7,
10,
14]. Our findings support this paradigm shift, demonstrating that MRI–US fusion-guided TB outperforms SB in detecting csPCa, with a sensitivity of 93.7% versus 85.7%, as well as an overall accuracy of 79.9% versus 77.6%, respectively. These findings are consistent with prior evidence, including the PRECISION randomized trial, which showed that an MRI-directed pathway with targeted biopsy increases csPCa detection and reduces the diagnosis of ISUP grade 1 cancers compared with standard biopsy [
10,
15].
Despite the superior performance of TB, SB continues to play a complementary role. In our cohort, 8.2% of csPCa cases were detected exclusively by SB, and 9.9% of lesions were upgraded in ISUP grade by SB compared to TB. These findings are consistent with a growing body of evidence highlighting the risk of omitting systematic sampling. A large prospective study found that systematic biopsies provided an incremental csPCA detection of 10.4% in biopsy-naïve patients [
16]. A recent review summarized that the added value of systematic biopsy ranges from 5 to 16% across various studies [
17]. This incremental value is crucial, as a meta-analysis calculated that an MRI-guided biopsy-only approach would miss 19% of all prostate cancers and, more importantly, 10% of clinically significant cases [
18]. Our results are in line with previous studies that emphasize that SB can identify significant lesions missed by TB, particularly multifocal or anterior lesions [
9,
12,
17,
19,
20,
21,
22,
23,
24]. The European Association of Urology (EAU) and American Urological Association (AUA) guidelines continue to recommend combined biopsy approaches in certain clinical contexts [
5,
6].
The correlation between PI-RADS scores and csPCa detection observed in our study further validates the predictive value of mpMRI. The detection rate of csPCa increased from 23% in PI-RADS 3 lesions to 73% in PI-RADS 5 lesions, mirroring trends reported in earlier prospective studies [
8,
25]. This supports the use of mpMRI not only for lesion localization but also for risk stratification and biopsy decision making [
26,
27]. This interpretation is consistent with the PROMIS study, which—using pre-biopsy mpMRI—demonstrated high sensitivity and negative predictive value for csPCa and supported the role of mpMRI to safely avoid unnecessary biopsies when imaging is negative [
15]. Nonetheless, csPCa was still present in a notable proportion of PI-RADS 3 lesions (23%), highlighting that mpMRI is not infallible and that systematic sampling retains diagnostic value in patients with low-to-intermediate imaging scores. This is particularly true when clinical risk factors are elevated; multivariable analyses have consistently shown that factors such as PSA density and age are significantly associated with csPCa detection on biopsy [
11,
16,
26,
27].
The clinical implications of these findings extend beyond initial diagnosis, particularly for treatment planning and active surveillance. Systematic biopsy plays a crucial role in identifying multifocal disease that may not be visible on MRI, and missing these secondary lesions can lead to treatment failure [
17]. Our inclusion of patients under AS adds valuable insight into this subgroup. Notably, 65% of AS patients with positive biopsies harbored csPCa, underscoring the importance of continued monitoring and the potential role of mpMRI and combined biopsy in re-evaluation. These findings align with current EAU and AUA guidelines, which recommend mpMRI in AS protocols to guide re-biopsy decisions [
5,
6].
The transperineal approach used in our study offers additional advantages, including reduced infection risk and improved access to anterior lesions, as supported by the recent literature [
28,
29,
30]. Moreover, the use of MRI–US fusion software enhances targeting precision, although inter-reader variability and operator experience remain challenges [
31,
32].
Beyond diagnostic performance, MRI-targeted strategies have also been associated with fewer biopsy cores and complications, contributing to more patient-centered and cost-effective care [
14,
19]. Future diagnostic algorithms may benefit from integrating mpMRI findings with clinical risk factors such as PSA density and lesion location to personalize the use of SB and reduce unnecessary sampling without compromising cancer detection [
5,
11,
14].
A key methodological aspect of our work is that the primary analysis was performed at the lesion level rather than the patient level. Lesion-based analysis enables a detailed evaluation of how individual imaging features correlate with histopathologic outcomes. However, this approach has limitations. In lesion-based comparisons, TB is performed for each MRI-identified lesion, whereas SB is performed once per patient. In patients with multiple lesions, this asymmetry can lead to an overestimation of TB performance and, conversely, lower apparent sensitivity and accuracy for SB.
In addition, targeted biopsy was always performed before systematic biopsy, which may have introduced a subtle operator bias. While systematic cores were obtained independently, the awareness of lesion location following TB may have unintentionally influenced sampling during SB, potentially increasing its detection yield. However, this reflects a real-world workflow used in many institutions.
5. Conclusions
MRI–US fusion-guided targeted biopsy significantly improves the detection of clinically significant prostate cancer compared to systematic biopsy alone. However, systematic biopsy continues to provide complementary diagnostic value, identifying additional csPCa cases and upgrading tumor grades in a meaningful subset of patients. The combination of both techniques offers the most comprehensive diagnostic yield, particularly in biopsy-naïve patients and those under active surveillance.
The strong association between PI-RADS score and csPCa detection supports mpMRI as a reliable triage tool. Nevertheless, the residual risk of missed disease, variability in imaging interpretation, and limitations of targeted sampling highlight the importance of maintaining a combined diagnostic approach, especially in equivocal cases.
Incorporating mpMRI and MRI–US fusion-guided biopsy into routine clinical practice represents a paradigm shift toward precision diagnostics in prostate cancer. Future prospective studies should evaluate long-term oncologic outcomes associated with different biopsy strategies and help define which patient subgroups may safely forgo systematic sampling without compromising diagnostic accuracy.
Author Contributions
Conceptualization, V.R., M.C., M.M., I.A. and C.N.; Methodology, V.R., M.C., I.A., J.P., M.C.-C. and C.N.; Software, J.P. and M.C.-C.; Validation, V.R., M.C., I.A., R.S. and C.N.; Formal analysis, M.C.-C.; Investigation, V.R., M.C., M.M., I.A., R.S., J.P., L.R.-C., B.S., M.C.-C. and C.N.; Resources, V.R., M.C., M.M., I.A., R.S., J.P., L.R.-C., B.S., M.C.-C. and C.N.; Data curation, J.P.; Writing—original draft, V.R.; Writing—review & editing, V.R., M.C., R.S. and C.N.; Visualization, V.R., M.M. and C.N.; Supervision, C.N.; Project administration, C.N. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Ethical review and approval were waived for this study because it was a retrospective analysis of anonymized data collected as part of routine clinical care. No intervention outside standard diagnostic practice was performed, and patient identifiers were removed prior to analysis. According to institutional and national guidelines, studies using fully anonymized retrospective data without direct patient involvement are exempt from formal ethical approval.
Informed Consent Statement
Patient consent was waived because this was a retrospective study using anonymized data obtained from standard clinical procedures. No identifiable patient information was collected or reported, and the study posed no additional risk to participants. According to institutional policy and applicable national regulations, informed consent is not required for research involving fully anonymized retrospective data.
Data Availability Statement
The data presented in this study are not publicly available due to privacy and ethical restrictions. Access to anonymized datasets may be provided by the corresponding author upon reasonable request and pending institutional approval.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
PCa | Prostate Cancer |
csPCa | Clinically Significant Prostate Cancer |
ISUP | International Society of Urological Pathology |
mpMRI | Multiparametric Magnetic Resonance Imaging |
PSA | Prostate-Specific Antigen |
DRE | Digital Rectal Examination |
MRI | Magnetic Resonance Imaging |
MRI-TB | Magnetic Resonance Imaging–Targeted Biopsy |
SB | Systematic Biopsy |
EAU | European Association of Urology |
AUA | American Urological Association |
MRI–US | Magnetic Resonance Imaging–Ultrasound |
TB | Targeted Biopsy |
PV | Prostate Volume |
PSAD | PSA Density |
PI-RADS | Prostate Imaging Reporting and Data System |
IQR | Interquartile Range |
AS | Active Surveillance |
TRUS | Transrectal Ultrasound |
References
- Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef]
- Bell, K.J.L.; Del Mar, C.; Wright, G.; Dickinson, J.; Glasziou, P. Prevalence of incidental prostate cancer: A systematic review of autopsy studies. Int. J. Cancer 2015, 137, 1749–1757. [Google Scholar] [CrossRef]
- Moyer, V.A. Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement. Ann. Intern. Med. 2012, 2, 120–134. [Google Scholar] [CrossRef] [PubMed]
- Drost, F.J.H.; Osses, D.F.; Nieboer, D.; Steyerberg, E.W.; Bangma, C.H.; Roobol, M.J.; Schoots, I.G. Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer. Cochrane Database Syst. Rev. 2019, 4, CD012663. [Google Scholar] [CrossRef] [PubMed]
- Cornford, P.; Tilki, D.; van den Bergh, R.C.N.; Eberli, D.; De Meerleer, G.; De Santis, M.; Gillessen, S.; Henry, A.M.; van Leenders, G.J.L.H.; Oldenburg, J.; et al. EAU-EANM-ESTRO-ESUR-ISUP-SIOG-Guidelines-on-Prostate-Cancer-2025. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer: Limited Update March 2025; European Association of Urology: Arnhem, The Netherlands, 2025. [Google Scholar]
- Wei, J.T.; Barocas, D.; Carlsson, S.; Coakley, F.; Eggener, S.; Etzioni, R.; Fine, S.W.; Han, M.; Kim, S.K.; Kirkby, E.; et al. Early Detection of Prostate Cancer: AUA/SUO Guideline Part II: Considerations for a Prostate Biopsy. J. Urol. 2023, 210, 54–63. [Google Scholar] [CrossRef] [PubMed]
- Kasivisvanathan, V.; Stabile, A.; Neves, J.B.; Giganti, F.; Valerio, M.; Shanmugabavan, Y.; Clement, K.D.; Sarkar, D.; Philippou, Y.; Thurtle, D.; 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, 284–303. [Google Scholar] [CrossRef]
- Bratan, F.; Niaf, E.; Melodelima, C.; Chesnais, A.L.; Souchon, R.; Mège-Lechevallier, F.; Colombel, M.; Rouvière, O. Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: A prospective study. Eur. Radiol. 2013, 23, 2019–2029. [Google Scholar] [CrossRef]
- Exterkate, L.; Wegelin, O.; Barentsz, J.O.; van der Leest, M.G.; Kummer, J.A.; Vreuls, W.; de Bruin, P.C.; Bosch, J.L.H.R.; van Melick, H.H.E.; Somford, D.M. Is There Still a Need for Repeated Systematic Biopsies in Patients with Previous Negative Biopsies in the Era of Magnetic Resonance Imaging-targeted Biopsies of the Prostate? Eur. Urol. Oncol. 2020, 3, 216–223. [Google Scholar] [CrossRef]
- Kasivisvanathan, V.; Rannikko, A.S.; Borghi, M.; Panebianco, V.; Mynderse, L.A.; Vaarala, M.H.; Briganti, A.; Budäus, L.; Hellawell, G.; Hindley, R.G.; et al. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N. Engl. J. Med. 2018, 378, 1767–1777. [Google Scholar] [CrossRef]
- Padhani, A.R.; Barentsz, J.; Villeirs, G.; Rosenkrantz, A.B.; Margolis, D.J.; Turkbey, B.; Thoeny, H.C.; Cornud, F.; Haider, M.A.; Macura, K.J.; et al. PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway. Radiology 2019, 292, 464–474. [Google Scholar] [CrossRef]
- Stranne, J.; Mottet, N.; Rouvière, O. Systematic Biopsies as a Complement to Magnetic Resonance Imaging–targeted Biopsies: “To Be or Not To Be”? Eur. Urol. 2023, 83, 381–384. [Google Scholar] [CrossRef] [PubMed]
- JLHvan Leenders, G.; van der Kwast, T.H.; Grignon, D.J.; Evans, A.J.; Kristiansen, G.; Kweldam, C.F.; Litjens, G.; McKenney, J.K.; Melamed, J.; Mottet, N.; et al. The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma. Am. J. Surg. Pathol. 2020, 44, e87–e99. [Google Scholar] [CrossRef] [PubMed]
- Stabile, A.; Dell’Oglio, P.; Gandaglia, G.; Fossati, N.; Brembilla, G.; Cristel, G.; Dehò, F.; Scattoni, V.; Maga, T.; Losa, A.; et al. Not All Multiparametric Magnetic Resonance Imaging–targeted Biopsies Are Equal: The Impact of the Type of Approach and Operator Expertise on the Detection of Clinically Significant Prostate Cancer. Eur. Urol. Oncol. 2018, 1, 120–128. [Google Scholar] [CrossRef] [PubMed]
- Ahmed, H.U.; El-Shater Bosaily, A.; Brown, L.C.; Gabe, R.; Kaplan, R.; Parmar, M.K.; Collaco-Moraes, Y.; Ward, K.; Hindley, R.G.; Freeman, A.; et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): A paired validating confirmatory study. Lancet 2017, 389, 815–822. [Google Scholar] [CrossRef]
- Leow, J.J.; Koh, S.H.; Chow, M.W.L.; Loke, W.; Salada, R.; Hong, S.K.; Yeow, Y.; Lee, C.H.; Tan, C.H.; Tan, T.W. Can we omit systematic biopsies in patients undergoing MRI fusion-targeted prostate biopsies? Asian J. Androl. 2023, 25, 43–49. [Google Scholar] [CrossRef]
- Malewski, W.; Milecki, T.; Tayara, O.; Poletajew, S.; Kryst, P.; Tokarczyk, A.; Nyk, Ł. Role of Systematic Biopsy in the Era of Targeted Biopsy: A Review. Curr. Oncol. 2024, 31, 5171–5194. [Google Scholar] [CrossRef]
- Wegelin, O.; van Melick, H.H.E.; Hooft, L.; Bosch, J.L.H.R.; Reitsma, H.B.; Barentsz, J.O.; Somford, D.M. Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique? Eur. Urol. 2017, 71, 517–531. [Google Scholar] [CrossRef]
- Schoots, I.G.; Roobol, M.J.; Nieboer, D.; Bangma, C.H.; Steyerberg, E.W.; Hunink, M.G.M. Magnetic Resonance Imaging-targeted Biopsy May Enhance the Diagnostic Accuracy of Significant Prostate Cancer Detection Compared to Standard Transrectal Ultrasound-guided Biopsy: A Systematic Review and Meta-analysis. Eur. Urol. 2015, 68, 438–450. [Google Scholar] [CrossRef]
- Valerio, M.; Donaldson, I.; Emberton, M.; Ehdaie, B.; Hadaschik, B.A.; Marks, L.S.; Mozer, P.; Rastinehad, A.R.; Ahmed, H.U. Detection of clinically significant prostate cancer using magnetic resonance imaging-ultrasound fusion targeted biopsy: A systematic review. Eur. Urol. 2015, 68, 8–19. [Google Scholar] [CrossRef]
- Takahashi, T.; Nakashima, M.; Maruno, K.; Hazama, T.; Yamada, Y.; Kikkawa, K.; Umeoka, S.; Tamaki, M.; Ito, N. Comparative Evaluation of Detection Rates for Clinically Significant Prostate Cancer Using MRI-Targeted Biopsy Alone Versus in Combination with Systematic Biopsies: Development of a Risk-Stratification Scoring System. Prostate 2024, 85, 265–272. [Google Scholar] [CrossRef]
- Elkhoury, F.F.; Felker, E.R.; Kwan, L.; Sisk, A.E.; Delfin, M.; Natarajan, S.; Marks, L.S. Comparison of Targeted vs Systematic Prostate Biopsy in Men Who Are Biopsy Naive: The Prospective Assessment of Image Registration in the Diagnosis of Prostate Cancer (PAIREDCAP) Study. JAMA Surg. 2019, 154, 811–818. [Google Scholar] [CrossRef] [PubMed]
- Sheweita, M.; Blaney, L.; Oxley, J.; Kopcke, D.; Bolomytis, S.; Burn, P.; Andreou, A.; Heron, J.; Persad, R.; Burns-Cox, N.; et al. Multicentre assessment of transperineal targeted prostate biopsy performed as part of a targeted and systematic biopsy diagnostic strategy in men without previous prostate biopsies. BJUI Compass 2025, 6, e70020. [Google Scholar] [CrossRef] [PubMed]
- Noh TIl Shim, J.S.; Kang, S.H.; Cheon, J.; Kang, S.G. Diagnostic performance of transperineal prostate targeted biopsy alone according to the PI-RADS score based on bi-parametric magnetic resonance imaging. Front. Oncol. 2023, 13, 1142022. [Google Scholar]
- Weinreb, J.C.; Barentsz, J.O.; Choyke, P.L.; Cornud, F.; Haider, M.A.; Macura, K.J.; Margolis, D.; Schnall, M.D.; Shtern, F.; Tempany, C.M.; et al. PI-RADS Prostate Imaging—Reporting and Data System: 2015, Version 2. Eur. Urol. 2016, 69, 16–40. [Google Scholar] [CrossRef]
- Wei, C.; Szewczyk-Bieda, M.; Bates, A.S.; Donnan, P.T.; Rauchhaus, P.; Gandy, S.; Ragupathy, S.K.A.; Singh, P.; Coll, K.; Serhan, J.; et al. Multicenter Randomized Trial Assessing MRI and Image-guided Biopsy for Suspected Prostate Cancer: The MULTIPROS Study. Radiology 2023, 308, e221428. [Google Scholar] [CrossRef]
- Riskin-Jones, H.H.; Raman, A.G.; Kulkarni, R.; Arnold, C.W.; Sisk, A.; Felker, E.; Lu, D.S.; Marks, L.S.; Raman, S.S. Performance of MR fusion biopsy, systematic biopsy and combined biopsy on prostate cancer detection rate in 1229 patients stratified by PI-RADSv2 score on 3T multi-parametric MRI. Abdom. Radiol. 2025, 50, 3784–3793. [Google Scholar] [CrossRef]
- Murphy, D.G.; Grummet, J.P. Planning for the post-antibiotic era-why we must avoid TRUS-guided biopsy sampling. Nat. Rev. Urol. 2016, 13, 559–560. [Google Scholar] [CrossRef]
- Grummet, J.; Pepdjonovic, L.; Huang, S.; Anderson, E.; Hadaschik, B. Transperineal vs. transrectal biopsy in MRI targeting. Transl. Androl. Urol. 2017, 6, 368–375. [Google Scholar] [CrossRef]
- Diamand, R.; Guenzel, K.; Mjaess, G.; Lefebvre, Y.; Ferriero, M.; Simone, G.; Fourcade, A.; Fournier, G.; Bui, A.P.; Taha, F.; et al. Transperineal or Transrectal Magnetic Resonance Imaging–targeted Biopsy for Prostate Cancer Detection. Eur. Urol. Focus 2024, 10, 805–811. [Google Scholar] [CrossRef]
- Stabile, A.; Giganti, F.; Rosenkrantz, A.B.; Taneja, S.S.; Villeirs, G.; Gill, I.S.; Allen, C.; Emberton, M.; Moore, C.M.; Kasivisvanathan, V. Multiparametric MRI for prostate cancer diagnosis: Current status and future directions. Nat. Rev. Urol. 2020, 17, 41–61. [Google Scholar] [CrossRef]
- Yu, L.P.; Du, Y.Q.; Sun, Y.R.; Qin, C.P.; Yang, W.B.; Huang, Z.X.; Xu, T. Value of cognitive fusion targeted and standard systematic transrectal prostate biopsy for prostate cancer diagnosis. Asian J. Androl. 2024, 26, 479–483. [Google Scholar] [CrossRef]
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