Next Article in Journal
Myositis “Diaphragm Cramp” as a Potential Cause of Respiratory Arrests in Infants. Comment on Salfi, N.C.M. et al. Fatal Deterioration of a Respiratory Syncytial Virus Infection in an Infant with Abnormal Muscularization of Intra-Acinar Pulmonary Arteries: Autopsy and Histological Findings. Diagnostics 2024, 14, 601
Next Article in Special Issue
Do 5-Alpha Reductase Inhibitors Influence the Features of Suspicious Lesions on Magnetic Resonance Imaging and Targeted Biopsy Results for Prostate Cancer Diagnosis?
Previous Article in Journal
Does Timing of Radiation Therapy Impact Wound Healing in Patients Undergoing Metastatic Spine Surgery?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Interpreting Prostate MRI Reports in the Era of Increasing Prostate MRI Utilization: A Urologist’s Perspective

by
Kevin Miszewski
1,*,
Katarzyna Skrobisz
2,
Laura Miszewska
3 and
Marcin Matuszewski
1
1
Department of Urology, Gdańsk Medical University, Mariana Smoluchowskiego 17 Street, 80-214 Gdańsk, Poland
2
Department of Radiology, Gdańsk Medical University, Mariana Smoluchowskiego 17 Street, 80-214 Gdańsk, Poland
3
Student Scientific Association, Gdańsk Medical University, Mariana Smoluchowskiego 17 Street, 80-214 Gdańsk, Poland
*
Author to whom correspondence should be addressed.
Diagnostics 2024, 14(10), 1060; https://doi.org/10.3390/diagnostics14101060
Submission received: 17 April 2024 / Revised: 16 May 2024 / Accepted: 16 May 2024 / Published: 20 May 2024

Abstract

:
Multi-parametric prostate MRI (mpMRI) is crucial for diagnosing, staging, and assessing treatment response in individuals with prostate cancer. Radiologists, through an accurate and standardized interpretation of mpMRI, stratify patients who may benefit from more invasive treatment or exclude patients who may be harmed by overtreatment. The integration of prostate MRI into the diagnostic pathway is anticipated to generate a substantial surge in the demand for high-quality mpMRI, estimated at approximately two million additional prostate MRI scans annually in Europe. In this review we examine the immediate impact on healthcare, particularly focusing on the workload and evolving roles of radiologists and urologists tasked with the interpretation of these reports and consequential decisions regarding prostate biopsies. We investigate important questions that influence how prostate MRI reports are handled. The discussion aims to provide insights into the collaboration needed for effective reporting.

1. Introduction

Prostate cancer (PCa) is one of the most prevalent malignancies affecting men worldwide, with a significant impact on morbidity and mortality [1]. In the quest for more accurate diagnostic and prognostic tools, multiparametric magnetic resonance imaging (mpMRI) has emerged as a valuable asset in urology practice [2]. Multiple trials revealed the great potential of mpMRI for performing pre-biopsy diagnosis [3]. In the era before MRI became a standard practice, random systematic biopsies were associated with alarmingly high false-negative rates, reaching up to 76% [3]. The introduction of MRI represents a substantial shift, offering patients a valuable tool to steer clear of the potentially severe consequences associated with biopsies and improving the detection rates of clinically significant prostate cancer (CSPCa) and lower rates of detection of clinically insignificant cancer [4]. As a result, the latest 2023 European Association of Urology (EAU) guidelines recommend prostate MRI in asymptomatic men with PSA 3–10 ng/mL and normal DRE [2]. However, incorporation of prostate MRI in the diagnostic pathway will lead to an increase in demand for high-quality mpMRI in Europe and the USA [5,6]. This is predicted to equate annually to approximately two million additional prostate MRI scans [7]. Research conducted by Davies et al. [8] in 2019 has indicated that multiparametric MRI (mpMRI) availability surpasses 90% across diverse regions in the United Kingdom, highlighting the extensive accessibility of MRI services despite certain regional variances. Nevertheless, the status of accessibility in less developed countries remains uncertain. The current widespread utilization of pre-biopsy prostate MRI has a significant impact on healthcare, specifically in its immediate effects on the workload and roles of radiologists and urologists responsible for interpreting these reports and making decisions about prostate biopsies. Interpreting prostate MRI images requires a specialized skill set. As the number of scans increases, the demand for radiologists with expertise in prostate MRI interpretation also grows. Ensuring a sufficient number of qualified radiologists is essential to maintain the accuracy and reliability of prostate MRI reports. A comprehensive array of reporting and data standards, with a specific emphasis on cancer imaging, has been meticulously developed, organized, and overseen by the American College of Radiology (ACR) [9]. These standards, collectively known as RADS, encompass well-known frameworks such as PI-RADS, BI-RADS, LI-RADS, and numerous others. It is crucial to recognize that all these RADS serve as dynamic resources undergoing continuous updates with new versions regularly released to ensure their relevance and applicability in the rapidly evolving field of medical imaging [10]. The initial effort to standardize prostate MRI reporting commenced with the release of the Prostate Imaging Reporting and Data System (PI-RADS) guidelines version 1 in 2012 [10]. These guidelines delineated the essential technical prerequisites and standard criteria for reporting prostate mpMRI findings. As evidence accumulated through their widespread use, the PI-RADS guidelines underwent subsequent refinements in 2015 (version 2.0) and further improvements in 2019 (version 2.1) [11,12]. These introduced a five-point assessment scale to assess the probability of a correlation between the findings obtained from mpMRI and the presence of CSPCa at a specific anatomical site. Prior research has confirmed the effectiveness of positive mpMRI results in detecting CSPCa [13,14] Due to its widespread use and acknowledged utility, the Prostate MRI Quality Subcommittees of the European Society of Urogenital Radiology (ESUR) and the European Association of Urology Section of Urologic Imaging (ESUI) formulated consensus-based criteria for prostate MRI acquisition, reporting, and training [15]. However, the practical implementation of PIRADS reporting in routine clinical practice presents a multifaceted challenge, encompassing interpretative complexity, interobserver variability [16,17], and the need for continuous training and refinement. In this era of precision medicine, where tailored treatments are becoming the norm, the dialog between radiologists and urologists must evolve to meet the demands of a rapidly advancing field. The goal is clear: to ensure that every patient receives the most accurate diagnosis, appropriate treatment, and the best possible outcome. We investigate the key questions that shape the landscape of prostate MRI reporting and highlight the crucial role played by the radiologist–urologist partnership. The discussion encompasses the complexities of prostate MRI reporting in practice, striving to provide insights into optimal practices for accurate and comprehensive reporting.

2. Should MRI Reports Be Structured or Presented in Free-Text Format?

Traditionally, radiologists have favored the expressive flexibility of free-text reporting, allowing them to articulate nuanced observations and individualized insights. However, the inherent complexity and subtle nature of prostate imaging necessitate a meticulous and standardized approach to reporting, making structured reporting (SR) an attractive proposition for streamlining the communication of diagnostic information. In the Magnetta [18] paper, it was demonstrated that after implementing SR, improvements in consistency, completeness, clarity, and clinical impact of the reports were observed, alongside a reduced perceived need to contact the interpreting radiologist for further clarification. Furthermore, structured reporting templates improved the sensitivity of prostate MRI for CSPCa in the peripheral zone from 53 to 70% [19] Faggioni et al.’s [20] survey findings indicate that the implementation of radiological SR offers distinct advantages over conventional reporting. Noteworthy strengths identified by respondents encompass heightened report reproducibility, enhanced communication channels between radiologists and referring clinicians, and the facilitation of more concise reports. However, the survey results reveal a striking trend, indicating that radiological SR is either not utilized at all or adopted by less than 50% of the radiological staff in many centers. This underutilization implies a de facto reluctance among radiologists to transition from conventional reporting to the adoption of SR in their daily practice. This hesitancy may be attributed to perceived disadvantages and current limitations associated with radiological SR. Respondents highlighted two main weaknesses: the risk of excessive report simplification in complex cases and the perceived rigidity of reporting templates. These concerns contribute to the prevailing resistance towards embracing SR in routine radiological reporting. The perspective of urologists underscores the critical importance of standardized reporting. Beyond the imperative of diagnostic accuracy, clinicians place a premium on linguistic clarity in radiology reports [21,22]. Extensive research has consistently demonstrated that urologists prefer SR within the PIRADS framework [23,24]. The evidence presented here highlights the potential for structured reports to not only streamline reporting practices but also contribute to better patient outcomes, reduced variability in reporting, and improved training for new radiologists. Furthermore, the structured format enables data extraction for research purposes, which can support ongoing clinical studies and quality improvement initiatives [25].

3. How Many Lesions Should Ideally Be Described within a PI-RADS Report?

Urologists, tasked with interpreting and utilizing PIRADS reports for clinical decision-making, often find themselves navigating through a multitude of lesions, a scenario that can inadvertently lead to decision fatigue. The sheer volume of lesions, coupled with the inclusion of those with lower clinical significance, may compromise the precision and efficiency of decision-making processes. In the PI-RADS 2.1 paper [26], comprehensive guidelines have been delineated for the structured reporting of lesions. According to these guidelines, a maximum of four lesions, each carrying a PI-RADS assessment score of 3, 4, or 5, can be assigned within each sector map. Addressing scenarios where the total number of lesions exceeds four, the reporting process is refined to encompass only the four lesions displaying the highest likelihood of CSPCa. In some quarters, the consensus suggests that a PI-RADS report should typically encompass a maximum of three lesions, reflecting a pragmatic approach to clinical decision-making. Such an approach aligns with the belief that an excessive enumeration of lesions may introduce complexity into the interpretation process, potentially overwhelming clinicians and impeding the identification of CSPCa. In their research, Spilseth et al. [23] found that radiologists and urologists most frequently indicated that three lesions are the maximum number of lesions that should be reported, though, surprisingly, urologists were more likely than radiologists to indicate that five or more lesions should be included. However, it is essential to acknowledge that the medical community is not unequivocal in its stance on this matter. Within the societies of urologists and radiologists, diverse opinions and practices prevail. Some advocate for a more inclusive approach, contending that a comprehensive enumeration of all detectable lesions, regardless of quantity, may provide valuable information for patient management and follow-up.

4. Is It Appropriate for Radiologists to Utilize Terms Such as “PIRADS 3/4” in Their Reports Even When These Specific PIRADS Scores Are Not Explicitly Designated?

While such terminology might offer a degree of flexibility in reporting, it simultaneously poses challenges in terms of diagnostic precision. The ambiguity inherent in these combined scores can complicate the decision-making process for prostate biopsies, potentially leading to under- or overdiagnosis of clinically significant lesions. Within the spectrum of PI-RADS scores, a significant divide emerges between PI-RADS 3 and PI-RADS 4 findings, leading to distinct clinical implications. PI-RADS 3 represents a category recognized for its ongoing debate in clinical practice, largely due to its association with a higher rate of false-positive results in prostate biopsies [27]. In the MRI-FIRST, PRECISION, and 4M trials, biopsy-naïve patients with PI-RADS 3 lesions exhibited CSPCa of 7–15% when undergoing targeted biopsies [28,29,30]. In the FUTURE trial, biopsy-naïve patients with PI-RADS 3 lesions had a CSPCa of 8.7% when undergoing targeted biopsies [31]. On the contrary, PI-RADS 4 is a designation that raises heightened concern, as it signifies a substantial likelihood of harboring a neoplasm or malignancy within the prostate gland. Westphalen et al. [32], who evaluated the positive predictive value of MRI-directed biopsy for detection of CSPca in 3449 men with positive MRI scans showed positive predictive value for CSPCa detection of 49% (95% CI 40–58%, IQR 27–48%) for PI-RADS 4. These studies demonstrate a significant distinction between PIRADS 3 and 4. However, the radiology community faces a substantial challenge. The utilization of vague terms like PIRADS 3/4 is not their fault; the PIRADS system lacks the flexibility to effectively describe various lesions, particularly those in the transitional zone. In the paper authored by Messina [33], the issue of ambiguous PI-RADS reporting was tackled by introducing a novel subcategorization of PI-RADS 3 scoring. This new subcategorization comprises PI-RADS 3 and 3up findings, which are further divided into two distinct groups: PI-RADS 3B, which necessitates immediate biopsy based on clinical data; and PI-RADS 3FU, indicating the need for follow-up with additional MRI assessments. A different approach to addressing this challenge has arisen with the development of computer-aided diagnosis (CAD) systems. Ferierro et al. [34]. highlighted the utility of these systems, revealing that radiologists acknowledged the advantages of computational analysis in approximately 15.3% of cases where the PI-RADS Score was ≤3. In the majority of these instances, T2 hypointensity was indistinct, yet a positive Malignancy Attention index map provided by the CAD system assisted radiologists in distinguishing suspicious foci from benign stromal nodules.
In conclusion, it is evident that the judicious use of standardized PIRADS scores and clear, precise reporting practices remains paramount in prostate MRI reporting. While the temptation to employ vague terms may exist, the potential risks associated with such practices underscore the importance of adhering to established reporting guidelines. In cases where uncertainty or challenges arise in adhering strictly to the PIRADS criteria, the importance of engaging in multidisciplinary team discussions and fostering close collaborative relationships between radiology and urology cannot be overstated.

5. Should Radiologists Routinely Incorporate TNM (Tumor, Node, Metastasis) Staging Criteria in Their Reports?

The TNM staging system for PCa, originally introduced in 1992 [35], holds a pivotal role in precisely characterizing the overall cancer burden, assessing the extent of disease spread at the point of diagnosis, and categorizing patients into prognostic groups. The present method for preoperative risk assessment in PCa relies on nomograms like the D’Amico criteria, Partin tables, or the EAU risk groups. These tools were originally formulated and validated based on the clinical stage determined through digital rectal examination (DRE) [36,37,38]. However, research indicates a significant discordance between clinical DRE staging and the final pathological findings. In a study conducted by Philip et al. involving 408 men, it was revealed that DRE exhibited a 60% under-staging rate for individuals with a histological diagnosis of cancer. Remarkably, nearly 40% of patients initially categorized as having a normal DRE (T1c) were ultimately classified as T2 or T3 in the final pathology [39]. Another investigation demonstrated a substantial 70% upstaging from clinical T2a disease to T2c disease upon examination of final pathology [40]. Furthermore, DRE exhibited poor correlation in accurately delineating the location and extent of the disease. These findings carry significant clinical implications as the current guidelines for nerve-sparing prostatectomy, as outlined by the EAU, rely on indications and contraindications derived from trials where patient selection was predominantly informed by DRE staging [41]. Nerve-sparing surgery is generally restricted to patients with organ-confined disease. Extension of PCa outside the prostatic capsule requires dissection of the neurovascular bundle, for nerve-sparing surgery would increase the risk of positive surgical margins [41]. In contrast to EAU guidelines, MRI-based staging altered the eligibility for nerve-sparing prostatectomy in 27% of cases, leading to a shift towards less nerve-sparing surgery in the majority [42]. This highlights the crucial role of MRI in refining treatment decisions and underscores the potential for more intensified treatment in about 1 out of 4 patients when relying on MRI rather than DRE for clinical tumor staging. However, the low specificity of mp-MRI for the detection of stage ≥T3a tumors, and thus its increased risk of over-staging, shows the technique is still not perfect [43]. Extraprostatic extension (T3a), invasion into seminal vesicles (T3b), and infiltration into neighboring structures (T4) are associated with a less favorable prognosis. They also increase the risk of positive surgical margins and biochemical recurrence following initial therapy [44]. A 2016 meta-analysis of 75 total studies found that pooled data for Extraprostatic Extension (EPE) showed sensitivity and specificity of 57% and 91%, respectively, and pooled sensitivity and specificity for SVI (seminal vesicle involvement) were 58% and 96%, respectively, concluding that MRI has high specificity but poor sensitivity for local PCa staging [45]. Recognizing the local extent of disease advancement is crucial as it can influence the scope of surgical intervention, the efficacy of surgical treatment, and the evaluation of alternative therapeutic options. Druskin et al. noted the presence of positive surgical margins in areas identified by preoperative MRI as indicative of extracapsular extension (ECE). These observations imply that urologists should be mindful of the potential necessity for a broader resection in cases where preoperative MRIs suggest locally advanced disease [46]. In a study conducted by Haug et al. [47], the implementation of pre-biopsy MRI was demonstrated to influence treatment decisions in PCa in Norway. This resulted in a decline in the number of locally advanced high-risk patients undergoing surgery, with a preference for radiotherapy. Additionally, a significant reduction in positive surgical margins for pT3 tumors was observed during the same period. These findings suggest an improvement in patient selection between radiotherapy and surgery and enhanced treatment planning, particularly for patients with Gleason Grade (GG) ≥ 3 [48]. Continual endeavors are underway to advance the staging methods for PCa. For instance, there has been a recent publication that specifically centers around the adaptation of the EAU risk group models to integrate mpMRI alongside DRE. This integrated model demonstrates promising prospects for refined risk stratification, exhibiting a heightened precision in predicting progression compared to the conventional EAU risk group classification [48].
These findings substantiate the notion that the incorporation of prostate MRI reports alongside TNM staging offers valuable staging insights that can significantly contribute to informed clinical decision-making. In accordance with Zhang’s [24] research, it was observed that urologists displayed a higher degree of satisfaction with reports incorporating TNM staging as opposed to reports containing solely PIRADS information.

6. Is There a Significant Impact on the Diagnostic Accuracy When Radiologists Include a Sector Map of the Prostate in a PIRADS Report?

Historically, radiologists have relied on subjective descriptions or general anatomical regions to denote the location of abnormalities within the prostate. This conventional approach, often described using vague terms such as “right posterior peripheral zone” or “left mid-gland”, lacks precision. In recent years, a growing body of evidence underscores the value of sector mapping in MRI reports for PCa assessment. PI-RADS v2 introduced a 39-sector prostate mapping system, comprising 36 sectors designated for the prostate, 2 for the seminal vesicles, and 1 for the external urethral sphincter. It was designed to enhance precision in localizing targeted biopsy procedures [11,49]. PI-RADS v2.1 has introduced two additional regions located in the peripheral zone (PZ) at the level of the base: the right and left posterior PZ medial. This brings the total number of sectors to 41. In contrast to the recommendations set forth by PI-RADS v.2, it is noteworthy that radiologists generally exhibit a notable reluctance towards the utilization of a sector map as the preferred method for lesion localization in clinical practice [50]. However, amidst the excitement surrounding mp-MRI, a crucial aspect often finds itself relegated to the periphery of radiological discourse—the cognitive prostate biopsy. Cognitive prostate biopsy remains an indispensable tool in the armamentarium of urologists for PCa diagnosis. Despite the emergence of more advanced techniques, such as fusion biopsy, cognitive biopsy maintains its significance primarily due to its widespread availability and accessibility. While fusion biopsy offers enhanced precision through the fusion of mpMRI with real-time ultrasound guidance, cognitive biopsy remains an essential option, especially in settings where access to specialized equipment or expertise may be limited. Urologists can readily perform cognitive biopsies using conventional transrectal ultrasound (TRUS) guidance and sector maps without the need for dedicated fusion platforms. The current literature, including systematic reviews and meta-analyses, does not show a clear superiority of one image-guided technique over another [31]. Arsov et al. [51] discovered that there was no noteworthy distinction in the detection of both overall PCa (37% vs. 39%) and CSPCa (29% vs. 32%) between in-bore MRI biopsy and MRI-TRUS fusion biopsy. Yaxley et al. [52] similarly observed no superiority of in-bore MRI biopsy over cognitive TRUS biopsy in identifying overall PCa and CSPCa. In a prospective trial conducted by Hamid et al. [53], there were no significant differences in the rates of overall PCa and CSPCa detection between cognitive and MRI-TRUS fusion techniques.
In conclusion, while fusion biopsy techniques continue to gain traction and offer valuable insights in PCa diagnosis, cognitive biopsy remains an indispensable and resilient methodology. Moreover, cognitive biopsy remains a feasible alternative in situations where advanced imaging resources may be scarce. It is noteworthy that radiologists frequently conduct prostate biopsies and, due to their proficiency in reading MR images, are less reliant on a sector map.

7. To What Degree Does the Inclusion of PSA Density and Prostate Volume Enhance the Clinical Utility and Precision of a PIRADS Report?

Prostate-specific antigen (PSA) has long been a cornerstone in the early detection of PCa, serving as a valuable biomarker for assessing disease risk. However, the traditional use of PSA levels alone as a sole criterion for recommending prostate biopsy has been a subject of debate due to its limitations, including false positives and the potential for overdiagnosis [54]. In recent years, PSA density has emerged as a promising adjunctive tool that offers a more refined and personalized approach to patient qualification for prostate biopsy [55]. Prostate-specific antigen density, calculated as the PSA level divided by the prostate volume (PV) as determined by imaging (usually transrectal ultrasound or MRI), provides a more complex understanding of PSA dynamics within the context of the individual patient’s prostate size. This metric addresses a fundamental limitation of using PSA levels alone, as it accounts for variations in prostate size that can significantly affect PSA concentration. One of the key advantages of incorporating PSA density into the qualification process for prostate biopsy is its ability to reduce unnecessary biopsies among patients with elevated PSA levels but smaller prostates. The IMRIE study [56], which retrospectively examined 2642 men, revealed that incorporating the standard PSAd (≥0.15 ng/mL/cc) into the MRI-pathway resulted in increased sensitivity and negative predictive value (NPV) for Gleason Grade (GG) ≥ 2 (87.3–96.6% and 87.5–90.6%). Furthermore, the utilization of a PSA density of 0.12 ng/mL2 further improved sensitivity and NPV in this context. In a patient-centered analysis [57], the detection of CSPCa was enhanced by 7% for PI-RADS 3, 17% for PI-RADS 4, and 15% for PI-RADS 5 when employing a PSAd cutoff of ≥0.1 ng/mL/cc. In a study conducted by Vourganti et al., no high-grade cancers were detected in patients with a PSA density of less than 0.15 ng/mL2. Furthermore, the research revealed that only PSA density (with a significance level of p = 0.0026) and MRI suspicion level (with a significance level of p = 0.0334) were notable factors for predicting the outcomes of biopsies [58]. Nevertheless, these assessments cannot be formulated without the measurement of PV. Ultrasonography, exemplified by techniques such as Transabdominal Ultrasound (TAUS) and Transrectal Ultrasonography (TRUS), is frequently employed in clinical settings. Notably, TRUS stands out as the predominant modality, commonly utilized as the primary tool for estimating PV [59]. MRI has also been widely adopted for the assessment of PV [60], owing to its established precision in measurement, making it the most accurate method in this regard [61,62]. PI-RADS v2.1 has delineated guidelines to ensure a consistent and systematic method of calculating PV in the ellipsoid formulation. PI-RADS v2.1 recommends that both maximum AP and longitudinal diameters be placed on the mid-sagittal T2W image and that the maximum transverse diameter be placed on the axial T2W image to optimize accuracy in the measurement of PV when using the ellipsoid formulation [12]. Evidence suggests that MRI, characterized by superior precision, can significantly impact PSA density calculations made during outpatient visits, consequently altering risk categorization and influencing the choice of biopsy.
The studies mentioned above unequivocally illustrate the valuable contribution of PSA density and PV when employed alongside PI-RADS in guiding clinical decision-making. Its primary usefulness appears to be in the context of pre-biopsy evaluations, where men identified as having a low probability of CSPCa based on their PI-RADS score and PSA density may be spared unnecessary biopsies. The incorporation of PSA density into the interpretation of prostate MRI findings is a logical progression towards improving diagnostic precision. In addition to risk stratification, PV plays a crucial role in determining the optimal number of needle cores needed for an effective non-targeted prostate biopsy [63]. Therefore, it is imperative for radiologists to consistently include PSA density based on MRI measurements of the prostate in their reports. Nevertheless, incorporating PSA density into MR reports may face challenges, as some MR protocols lack a sagittal sequence necessary for calculating PV, and not all requests include the PSA level.

8. Should Radiologists Actively Engage in Advising Urologists about the Necessity of Prostate Biopsy Based on Their Interpretations of PI-RADS Reports?

While radiologists possess specialized expertise in interpreting imaging data, the urology community may express reservations regarding such active advising, primarily due to their extensive clinical knowledge and experience in the field of prostate health. Urologists often emphasize in surveys the necessity of indicating the percentage likelihood that a lesion represents cancer and specifying whether a lesion is suitable for targeted biopsy [23]. Within the PIRADS 2.1 framework, the term “foremost lesion” has been introduced to designate the index lesion, emphasizing the imperative of its unequivocal identification [12]. The index lesion is determined based on the highest PI-RADS score. In instances where two or more lesions share an identical highest score, priority is accorded to the lesion demonstrating EPE. Notably, if a smaller lesion exhibits EPE, even in the presence of larger lesions, it is specifically designated as the index lesion. In the absence of EPE among lesions with the same highest score, the index lesion is established as the largest one [26]. This information can serve as an additional piece of the diagnostic puzzle, potentially aiding urologists in making more informed decisions. Radiologists’ insights regarding lesion characteristics, size, and location can provide valuable context for urologists to consider when determining whether a prostate biopsy is necessary or which technique of biopsy to choose; for example, transperineal fusion biopsy for lesions in the apex of the prostate is often unavailable for systemic biopsy.

9. Conclusions

To bridge the gap between two perspectives, it is essential for radiologists and urologists to establish effective communication channels and collaborative protocols. Open dialog and mutual respect for each other’s expertise can lead to a more comprehensive and patient-centered approach to PCa diagnosis and treatment decisions.

Funding

This research received no external funding.

Institutional Review Board Statement

The Ethics Committee of the Medical University of Gdańsk waived the need for ethics approval and the need to obtain consent for the collection, analysis and publication of the retrospectively obtained and anonymized data for this non-interventional study.

Informed Consent Statement

Patient consent was waived due to the nature of this study being a review paper. This study involves the analysis and synthesis of previously published data, and no new data collection involving human participants was conducted. Therefore, the requirement for informed consent is not applicable.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study. All data discussed in this review are from previously published sources, which are appropriately cited within the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  2. Mottet, N.; van den Bergh, R.C.N.; Briers, E.; Van den Broeck, T.; Cumberbatch, M.G.; De Santis, M.; Fanti, S.; Fossati, N.; Gandaglia, G.; Gillessen, S.; et al. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur. Urol. 2021, 79, 243–262. [Google Scholar] [CrossRef] [PubMed]
  3. Schröder, F.H.; Hugosson, J.; Roobol-Bouts, M.J.; Tammela, T.L.J.; Ciatto, S.; Nelen, V.; Kwiatkowski, M.; Lujan, M.; Lilja, H.; Zappa, M.; et al. Screening and prostate-cancer mortality in a randomized European study. N. Engl. J. Med. 2009, 360, 1320–1328. [Google Scholar] [CrossRef] [PubMed]
  4. Schoots, I.G.; Roobol, M.J.; Nieboer, D.; Bangma, C.H.; Steyerberg, E.W.; Hunink, M.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] [PubMed]
  5. Rosenkrantz, A.B.; Hemingway, J.; Hughes, D.R.; Duszak, R.; Allen, B.; Weinreb, J.C. Evolving Use of Prebiopsy Prostate Magnetic Resonance Imaging in the Medicare Population. J. Urol. 2018, 200, 89–94. [Google Scholar] [CrossRef]
  6. Bertolo, R.; Vittori, M.; Cipriani, C.; Maiorino, F.; Forte, V.; Iacovelli, V.; Petta, F.; Sperandio, M.; Marani, C.; Panei, M.; et al. Diagnostic pathway of the biopsy-naïve patient suspected for prostate cancer: Real-life scenario when multiparametric Magnetic Resonance Imaging is not centralized. Progrès Urol. 2021, 31, 739–746. [Google Scholar] [CrossRef] [PubMed]
  7. Ferlay, J.; Colombet, M.; Soerjomataram, I.; Dyba, T.; Randi, G.; Bettio, M.; Gavin, A.; Visser, O.; Bray, F. Cancer incidence and mortality patterns in Europe: Estimates for 40 countries and 25 major cancers in 2018. Eur. J. Cancer 2018, 103, 356–387. [Google Scholar] [CrossRef] [PubMed]
  8. Davies, C.; Castle, J.; Stalbow, K.; Haslam, P. Prostate mpMRI in the UK: The state of the nation. Clin. Radiol. 2019, 74, 894.e11–894.e18. [Google Scholar] [CrossRef]
  9. Davenport, M.S.; Chatfield, M.; Hoang, J.; Maturen, K.E.; Obuchowski, N.; Tse, J.R.; Weinreb, J.; Kaur, D.; Attridge, L.; Kurth, D. Larson ACR-RADS programs current state and future opportunities: Defining a governance structure to enable sustained success. J. Am. Coll. Radiol. 2022, 19, 782–791. [Google Scholar] [CrossRef]
  10. Barentsz, J.O.; Richenberg, J.; Clements, R.; Choyke, P.; Verma, S.; Villeirs, G.; Rouviere, O.; Logager, V.; Fütterer, J.J. ESUR prostate MR guidelines 2012. Eur. Radiol. 2012, 22, 746–757. [Google Scholar] [CrossRef]
  11. 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] [PubMed]
  12. Turkbey, B.; Rosenkrantz, A.B.; Haider, M.A.; Padhani, A.R.; Villeirs, G.; Macura, K.J.; Tempany, C.M.; Choyke, P.L.; Cornud, F.; Margolis, D.J.; et al. Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur. Urol. 2019, 76, 340–351. [Google Scholar] [CrossRef] [PubMed]
  13. Porpiglia, F.; Manfredi, M.; Mele, F.; Cossu, M.; Bollito, E.; Veltri, A.; Cirillo, S.; Regge, D.; Faletti, R.; Passera, R.; et al. Diagnostic pathway with multiparametric magnetic resonance imaging versus standard pathway: Results from a randomized prospective study in biopsy-naïve patients with suspected prostate cancer. Eur. Urol. 2017, 72, 282–288. [Google Scholar] [CrossRef] [PubMed]
  14. Ahmed, H.U.; Bosaily AE, S.; 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] [PubMed]
  15. de Rooij, M.; Israel, B.; Tummers, M.; Ahmed, H.U.; Barrett, T.; Giganti, F.; Hamm, B.; Logager, V.; Padhani, A.; Panebianco, V.; et al. ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: Quality requirements for image acquisition, interpretation and radiologists’ training. Eur. Radiol. 2020, 30, 5404–5416. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  16. Smith, C.P.; Turkbey, B. PI-RADS v2: Current standing and future outlook. Turk. J. Urol. 2018, 44, 189–194. [Google Scholar] [CrossRef] [PubMed]
  17. Sonn, G.A.; Fan, R.E.; Ghanouni, P.; Wang, N.N.; Brooks, J.D.; Loening, A.M.; Daniel, B.L.; To’O, K.J.; Thong, A.E.; Leppert, J.T. Prostate Magnetic Resonance Imaging Interpretation Varies Substantially Across Radiologists. Eur. Urol. Focus 2019, 5, 592–599. [Google Scholar] [CrossRef]
  18. Magnetta, M.J.; Donovan, A.L.; Jacobs, B.L.; Davies, B.J.; Furlan, A. Evidence-Based Reporting: A Method to Optimize Prostate MRI Communications with Referring Physicians. Am. J. Roentgenol. 2018, 210, 108–112. [Google Scholar] [CrossRef] [PubMed]
  19. Shaish, H.; Feltus, W.; Steinman, J.; Hecht, E.; Wenske, S.; Ahmed, F. Impact of a structured reporting template on adherence to prostate imaging reporting and data system version 2 and on the diagnostic performance of prostate mri for clinically significant prostate cancer. J. Am. Coll. Radiol. 2018, 15, 749–754. [Google Scholar] [CrossRef]
  20. Faggioni, L.; Coppola, F.; Ferrari, R.; Neri, E.; Regge, D. Usage of structured reporting in radiological practice: Results from an Italian online survey. Eur. Radiol. 2016, 27, 1934–1943. [Google Scholar] [CrossRef] [PubMed]
  21. Johnson, A.J.; Ying, J.; Swan, J.; Williams, L.S.; E Applegate, K.; Littenberg, B. Improving the quality of radiology reporting: A physician survey to define the target. J. Am. Coll. Radiol. 2004, 1, 497–505. [Google Scholar] [CrossRef]
  22. McLoughlin, R.F.; So, C.B.; Gray, R.R.; Brandt, R. Radiology reports: How much descriptive detail is enough? Am. J. Roentgenol. 1995, 165, 803–806. [Google Scholar] [CrossRef]
  23. Spilseth, B.; Ghai, S.; Patel, N.U.; Taneja, S.S.; Margolis, D.J.; Rosenkrantz, A.B. A Comparison of radiologists’ and urologists’ opinions regarding prostate mri reporting: Results from a survey of specialty societies. Am. J. Roentgenol. 2018, 210, 101–107. [Google Scholar] [CrossRef]
  24. Zhong, J.; Qin, W.; Li, Y.; Wang, Y.; Huan, Y.; Ren, J. Comparison of Urologist Satisfaction for Different Types of Prostate MRI Reports: A Large Sample Investigation. Korean J. Radiol. 2020, 21, 1326–1333. [Google Scholar] [CrossRef]
  25. Cramer, J.A.; Eisenmenger, L.B.; Pierson, N.S.; Dhatt, H.S.; Heilbrun, M.E. Structured and templated reporting: An overview. Appl. Radiol. 2014, 43, 18–21. [Google Scholar] [CrossRef]
  26. Scott, R.; Misser, S.K.; Cioni, D.; Neri, E. PI-RADS v2.1: What has changed and how to report. S. Afr. J. Radiol. 2021, 25, 13. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  27. Schoots, I.G. MRI in early prostate cancer detection: How to manage indeterminate or equivocal PI-RADS 3 lesions? Transl. Androl. Urol. 2018, 7, 70–82. [Google Scholar] [CrossRef]
  28. Rouvière, O.; Puech, P.; Renard-Penna, R.; Claudon, M.; Roy, C.; Mège-Lechevallier, F.; Decaussin-Petrucci, M.; Dubreuil-Chambardel, M.; Magaud, L.; Remontet, L.; et al. Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy naive patients (MRI-FIRST): A prospective, multicentre, paired diagnostic study. Lancet Oncol. 2019, 20, 100–109. [Google Scholar] [CrossRef]
  29. 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]
  30. van der Leest, M.; Cornel, E.; Israël, B.; Hendriks, R.; Padhani, A.R.; Hoogenboom, M.; Zamecnik, P.; Bakker, D.; Setiasti, A.Y.; Veltman, J.; et al. Head-to-head comparison of transrectal ultrasound-guided prostate biopsy versus multiparametric prostate resonance imaging with subsequent magnetic resonance-guided biopsy in biopsy-naïve men with elevated prostate-specific antigen: A large prospective multicenter clinical study. Eur. Urol. 2019, 75, 570–578. [Google Scholar] [CrossRef]
  31. Wegelin, O.; Exterkate, L.; van der Leest, M.; Kummer, J.A.; Vreuls, W.; de Bruin, P.C.; Bosch, J.; Barentsz, J.O.; Somford, D.M.; van Melick, H.H. The FUTURE trial: A multicenter randomised controlled trial on target biopsy techniques based on magnetic resonance imaging in the diagnosis of prostate cancer in patients with prior negative biopsies. Eur. Urol. 2019, 75, 582–590. [Google Scholar] [CrossRef] [PubMed]
  32. Westphalen, A.C.; McCulloch, C.E.; Anaokar, J.M.; Arora, S.; Barashi, N.S.; Barentsz, J.O.; Bathala, T.K.; Bittencourt, L.K.; Booker, M.T.; Braxton, V.G.; et al. Variability of the positive predictive value of pi-rads for prostate mri across 26 centers: Experience of the society o abdominal radiology prostate cancer disease-focused panel. Radiology 2020, 296, 76–84. [Google Scholar] [CrossRef] [PubMed]
  33. Messina, E.; Pecoraro, M.; Laschena, L.; Bicchetti, M.; Proietti, F.; Ciardi, A.; Leonardo, C.; Sciarra, A.; Girometti, R.; Catalano, C.; et al. Low cancer yield in PIRADS 3 upgraded to 4 by dynamic contrastenhanced MRI: Is it time to reconsider scoring categorization? Eur. Radiol. 2023, 33, 5828–5839. [Google Scholar] [CrossRef]
  34. Ferriero, M.; Anceschi, U.; Bove, A.M.; Bertini, L.; Flammia, R.S.; Zeccolini, G.; DE Concilio, B.; Tuderti, G.; Mastroianni, R.; Misuraca, L.; et al. Fusion US/MRI prostate biopsy using a computer aided diagnostic (CAD) system. Minerva Urol. Nephrol. 2021, 73, 616–624. [Google Scholar] [CrossRef] [PubMed]
  35. American Joint Committee on Cancer. AJCC Cancer Staging Manual, 8th ed.; American College of Surgeons: Chicago, IL, USA, 2007. [Google Scholar]
  36. D’Amico, A.V.; Whittington, R.; Malkowicz, S.B.; Schultz, D.; Blank, K.; Broderick, G.A.; Tomaszewski, J.E.; Renshaw, A.A.; Kaplan, I.; Beard, C.J.; et al. Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer. JAMA 1998, 280, 969–974. [Google Scholar] [CrossRef] [PubMed]
  37. Partin, A.W.; A Mangold, L.; Lamm, D.M.; Walsh, P.C.; I Epstein, J.; Pearson, J.D. Contemporary update of prostate cancer staging nomograms (Partin Tables) for the new millennium. Urology 2001, 58, 843–848. [Google Scholar] [CrossRef] [PubMed]
  38. Professionals S-O. EAU Guidelines: Prostate Cancer. Uroweb n.d. Available online: https://uroweb.org/guideline/prostate-cancer/#4 (accessed on 22 October 2023).
  39. Philip, J.; Roy, S.D.; Ballal, M.; Foster, C.S.; Javlé, P. Is a digital rectal examination necessary in the diagnosis and clinical staging of early prostate cancer? BJU Int. 2005, 95, 969–971. [Google Scholar] [CrossRef] [PubMed]
  40. Obek, C.A.N.; Louis, P.; Civantos, F.; Soloway, M.S. Soloway Comparison of digital rectal examination and biopsy results with the radical prostatectomy specimen. J. Urol. 1999, 161, 494–498. [Google Scholar] [CrossRef]
  41. Sokoloff, M.H.; Brendler, C.B. Indications and contraindications for nerve-sparing radical prostatectomy. Urol. Clin. N. Am. 2001, 28, 535–543. [Google Scholar] [CrossRef]
  42. Draulans, C.; Everaerts, W.; Isebaert, S.; Gevaert, T.; Oyen, R.; Joniau, S.; Lerut, E.; De Wever, L.; Weynand, B.; Vanhoutte, E.; et al. Impact of Magnetic Resonance Imaging on Prostate Cancer Staging and European Association of Urology Risk Classification. Urology 2019, 130, 113–119. [Google Scholar] [CrossRef] [PubMed]
  43. Soeterik, T.F.W.; van Melick, H.H.; Dijksman, L.M.; Biesma, D.H.; Witjes, J.A.; van Basten, J.P.A. Multi-parametric magnetic resonance imaging should be preferred over digital rectal examination for prostate cancer local staging and disease risk classification. Urology 2020, 147, 205–212. [Google Scholar] [CrossRef] [PubMed]
  44. Ball, M.W.; Partin, A.W.; Epstein, J.I. Extent of extraprostatic extension independently influences biochemical recurrence-free survival: Evidence for further pT3 subclassification. Urology 2015, 85, 161–164. [Google Scholar] [CrossRef] [PubMed]
  45. de Rooij, M.; Hamoen, E.H.; Witjes, J.A.; Barentsz, J.O.; Rovers, M.M. Accuracy of Magnetic Resonance Imaging for Local Staging of Prostate Cancer: A Diagnostic Meta-analysis. Eur. Urol. 2016, 70, 233–245. [Google Scholar] [CrossRef] [PubMed]
  46. Druskin, S.C.; Liu, J.-J.; Young, A.; Feng, Z.; Dianat, S.S.; Ludwig, W.W.; Trock, B.J.; Macura, K.J.; Pavlovich, C.P. Prostate MRI prior to radical prostatectomy: Effects on nerve sparing and pathological margin status. Res. Rep. Urol. 2017, 9, 55–63. [Google Scholar] [CrossRef]
  47. Haug, E.S.; Myklebust, T.; Juliebø-Jones, P.; Reisæter, L.A.R.; Aas, K.; Berg, A.S.; Müller, C.; Hofmann, B.; Størkersen, Ø.; Nilsen, K.L.; et al. Impact of prebiopsy MRI on prostate cancer staging: Results from the Norwegian Prostate Cancer Registry. BJUI Compass 2023, 4, 331–338. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  48. Rakauskas, A.; Peters, M.; Ball, D.; Kim, N.H.; Ahmed, H.U.; Winkler, M.; Shah, T.T. The impact of local staging of prostate cancer determined on MRI or DRE at time of radical prostatectomy on progression-free survival: A Will Rogers phenomenon. Urol. Oncol. Semin. Orig. Investig. 2023, 41, 106.e9–106.e16. [Google Scholar] [CrossRef] [PubMed]
  49. Spektor, M.; Mathur, M.; Weinreb, J.C. Standards for MRI reporting—The evolution to PI-RADS v 2.0. Transl. Androl. Urol. 2017, 6, 355–367. [Google Scholar] [CrossRef] [PubMed]
  50. Spilseth, B.; Margolis, D.J.; Ghai, S.; Patel, N.U.; Rosenkrantz, A.B. Radiologists’ preferences regarding content of prostate MRI reports: A survey of the Society of Abdominal Radiology. Abdom. Imaging 2017, 43, 1807–1812. [Google Scholar] [CrossRef] [PubMed]
  51. Arsov, C.; Rabenalt, R.; Blondin, D.; Quentin, M.; Hiester, A.; Godehardt, E.; Gabbert, H.E.; Becker, N.; Antoch, G.; Albers, P.; et al. Prospective randomized trial comparing magnetic resonance imaging (mri)-guided in-bore biopsy to mri-ultrasound fusion and transrectal ultrasound-guided prostate biopsy in patients with prior negative biopsies. Eur. Urol. 2015, 68, 713–720. [Google Scholar] [CrossRef]
  52. Yaxley, A.J.; Yaxley, J.W.; Thangasamy, I.A.; Ballard, E.; Pokorny, M.R. Comparison between target magnetic resonance imaging (MRI) in-gantry and cognitively directed transperineal or transrectal-guided prostate biopsies for prostate imaging–reporting and data system (PI-RADS) 3–5 MRI lesions. BJU Int. 2017, 120, 43–50. [Google Scholar] [CrossRef]
  53. Hamid, S.; Donaldson, I.A.; Hu, Y.; Rodell, R.; Villarini, B.; Bonmati, E.; Tranter, P.; Punwani, S.; Sidhu, H.S.; Willis, S.; et al. The SmartTarget biopsy trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and magnetic resonance imaging/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. Eur. Urol. 2018, 75, 733–740. [Google Scholar] [CrossRef] [PubMed]
  54. Loeb, S.; Bjurlin, M.A.; Nicholson, J.; Tammela, T.L.; Penson, D.F.; Carter, H.B.; Carroll, P.; Etzioni, R. Overdiagnosis and overtreatment of prostate cancer. Eur. Urol. 2014, 65, 1046–1055. [Google Scholar] [CrossRef] [PubMed]
  55. Distler, F.A.; Radtke, J.P.; Bonekamp, D.; Kesch, C.; Schlemmer, H.-P.; Wieczorek, K.; Kirchner, M.; Pahernik, S.; Hohenfellner, M.; Hadaschik, B.A. The value of PSA density in combination with PI-RAD for the accuracy of prostate cancer prediction. J. Urol. 2017, 198, 575–582. [Google Scholar] [CrossRef] [PubMed]
  56. Stonier, T.; Simson, N.; Shah, T.; Lobo, N.; Amer, T.; Lee, S.-M.; Bass, E.; Chau, E.; Grey, A.; McCartan, N.; et al. The “Is mpMRI Enough” or IMRIE Study: A multicentre evaluation of prebiopsy multiparametric magnetic resonance imaging compared with biopsy. Eur. Urol. Focus 2021, 7, 1027–1034. [Google Scholar] [CrossRef] [PubMed]
  57. Frisbie, J.W.; Van Besien, A.J.; Lee, A.; Xu, L.; Wang, S.; Choksi, A.; Afzal, M.A.; Naslund, M.J.; Lane, B.; Wong, J.; et al. PSA density is complementary to prostate MP-MRI PI-RADS scoring system for risk stratification of clinically significant prostate cancer. Prostate Cancer Prostatic Dis. 2022, 26, 347–352. [Google Scholar] [CrossRef] [PubMed]
  58. Vourganti, S.; Rastinehad, A.; Yerram, N.K.; Nix, J.; Volkin, D.; Hoang, A.; Turkbey, B.; Gupta, G.N.; Kruecker, J.; Linehan, W.M.; 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, 2152–2157. [Google Scholar] [CrossRef] [PubMed]
  59. Harvey, C.J.; Pilcher, J.; Richenberg, J.; Patel, U.; Frauscher, F. Applications of transrectal ultrasound in prostate cancer. Br. J. Radiol. 2012, 85, S3–S17. [Google Scholar] [CrossRef]
  60. Lee, J.S.; Chung, B.H. Transrectal ultrasound versus magnetic resonance imaging in the estimation of prostate volume as compared with radical prostatectomy specimens. Urol. Int. 2007, 78, 323–327. [Google Scholar] [CrossRef]
  61. Bezinque, A.; Moriarity, A.; Farrell, C.; Peabody, H.; Noyes, S.L.; Lane, B.R. Determination of Prostate Volume: A Comparison of Contemporary Methods. Acad. Radiol. 2018, 25, 1582–1587. [Google Scholar] [CrossRef]
  62. Paterson, N.R.; Lavallée, L.T.; Nguyen, L.N.; Witiuk, K.; Ross, J.; Mallick, R.; Shabana, W.; MacDonald, B.; Scheida, N.; Fergusson, D.; et al. Prostate volume estimations using magnetic resonance imaging and transrectal ultrasound compared to radical prostatectomy specimens. Can. Urol. Assoc. J. 2016, 10, 264–268. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  63. Eskicorapci, S.Y.; Guliyev, F.; Akdogan, B.; Dogan, H.S.; Ergen, A.; Ozen, H. Individualization of the biopsy protocol according to the prostate gland volume for prostate cancer detection. J. Urol. 2005, 173, 1536–1540. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Miszewski, K.; Skrobisz, K.; Miszewska, L.; Matuszewski, M. Interpreting Prostate MRI Reports in the Era of Increasing Prostate MRI Utilization: A Urologist’s Perspective. Diagnostics 2024, 14, 1060. https://doi.org/10.3390/diagnostics14101060

AMA Style

Miszewski K, Skrobisz K, Miszewska L, Matuszewski M. Interpreting Prostate MRI Reports in the Era of Increasing Prostate MRI Utilization: A Urologist’s Perspective. Diagnostics. 2024; 14(10):1060. https://doi.org/10.3390/diagnostics14101060

Chicago/Turabian Style

Miszewski, Kevin, Katarzyna Skrobisz, Laura Miszewska, and Marcin Matuszewski. 2024. "Interpreting Prostate MRI Reports in the Era of Increasing Prostate MRI Utilization: A Urologist’s Perspective" Diagnostics 14, no. 10: 1060. https://doi.org/10.3390/diagnostics14101060

APA Style

Miszewski, K., Skrobisz, K., Miszewska, L., & Matuszewski, M. (2024). Interpreting Prostate MRI Reports in the Era of Increasing Prostate MRI Utilization: A Urologist’s Perspective. Diagnostics, 14(10), 1060. https://doi.org/10.3390/diagnostics14101060

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop