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13 Dierences Between MRI-Visible Vs. MRI-Invisible Cancers: Biology andOutcomes
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8. Radtke JP, Kuru TH, Boxler S, Alt CD, Popeneciu IV, Huettenbrink C, et al. Comparative analysis of transperineal template saturation prostate biopsy ver­sus magnetic resonance imaging targeted biopsy with magnetic resonance imaging-ultrasound fusion guid­ance. J Urol. 2015;193(1):87–94.
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36. Salami SS, Kaplan JB, Nallandhighal S, Takhar M, Tosoian JJ, Lee M, etal. Biologic signicance of mag­netic resonance imaging invisibility inlocalized pros­tate cancer. JCO Precis Oncol. 2019;3:PO.19.00054.
37. Leyten GHJM, Wierenga EA, Sedelaar JPM, van Oort IM, Futterer JJ, Barentsz JO, etal. Value of PCA3 to predict biopsy outcome and its potential role in select­ing patients for multiparametric MRI.Int J Mol Sci. 2013;14(6):11347–55.
38. De Luca S, Passera R, Cattaneo G, Manfredi M, Mele F, Fiori C, etal. High prostate cancer gene 3 (PCA3) scores are associated with elevated prostate imag­ing reporting and data system (PI-RADS) grade and biopsy Gleason score, at magnetic resonance imag­ing/ultrasonography fusion software-based targeted prostate biopsy after a previous negative standard biopsy. BJU Int. 2016;118(5):723–30.
39. Purysko AS, Magi-Galluzzi C, Mian OY, Sittenfeld S, Davicioni E, du Plessis M, et al. Correlation between MRI phenotypes and a genomic classier of prostate cancer: preliminary ndings. Eur Radiol. 2019;29(9):4861–70.
40. Radtke JP, Takhar M, Bonekamp D, Kesch C, Erho N, du Plessis M, et al. Transcriptome wide analysis of magnetic resonance imaging-targeted biopsy and matching surgical specimens from high-risk prostate cancer patients treated with radical prostatectomy: the target must be hit. Eur Urol Focus. 2018;4(4):540–6.
41. Leapman MS, Westphalen AC, Ameli N, Lawrence HJ, Febbo PG, Cooperberg MR, et al. Association between a 17-gene genomic prostate score and multi-parametric prostate MRI in men with low and intermediate risk prostate cancer (PCa). PLoS One. 2017;12(10):e0185535.
42. Renard-Penna R, Cancel-Tassin G, Comperat E, Varinot J, Léon P, Roupret M, et al. Multiparametric magnetic resonance imaging predicts postoperative pathology but misses aggressive prostate cancers as assessed by cell cycle progression score. J Urol. 2015;194(6):1617–23.
43. Wibmer AG, Robertson NL, Hricak H, Zheng J, Capanu M, Stone S, et al. Extracapsular extension
on MRI indicates a more aggressive cell cycle pro­gression genotype of prostate cancer. Abdom Radiol. 2019;44(8):2864–73.
44. Parry MA, Srivastava S, Ali A, Cannistraci A, Antonello J, Barros-Silva JD, et al. Genomic evaluation of multiparametric magnetic resonance imaging- visible and -nonvisible lesions in clini­cally localised prostate cancer. Eur Urol Oncol. 2019;2(1):1–11.
45. Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM, et al. Integrative clini­cal genomics of advanced prostate cancer. Cell. 2015;161(5):1215–28.
46. Borren A, Groenendaal G, Moman MR, Boeken Kruger AE, van Diest PJ, van Vulpen M, et al. Accurate prostate tumour detection with multi­parametric magnetic resonance imaging: depen­dence on histological properties. Acta Oncol. 2014;53(1):88–95.
47. Miyai K, Mikoshi A, Hamabe F, Nakanishi K, Ito K, Tsuda H, etal. Histological differences in cancer cells, stroma, and luminal spaces strongly correlate with in vivo MRI-detectability of prostate cancer. Mod Pathol. 2019;32(10):1536–43.
48. Pachynski RK, Kim EH, Miheecheva N, Kotlov N, Ramachandran A, Postovalova E, et al. Single-cell spatial proteomic revelations on the multiparametric MRI heterogeneity of clinically signicant prostate cancer. Clin Cancer Res. 2021;27(12):3478–90.
49. Truong M, Feng C, Hollenberg G, Weinberg E, Messing EM, Miyamoto H, et al. A comprehensive analysis of cribriform morphology on magnetic resonance imaging/ultrasound fusion biopsy corre­lated with radical prostatectomy specimens. J Urol. 2018;199(1):106–13.
50. Tonttila PP, Ahtikoski A, Kuisma M, Pääkkö E, Hirvikoski P, Vaarala MH.Multiparametric MRI prior to radical prostatectomy identies intraductal and cribriform growth patterns in prostate cancer. BJU Int. 2019;124(6):992–8.
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54. Epstein JI, Feng Z, Trock BJ, Pierorazio PM.Upgrading and downgrading of prostate cancer from biopsy to radical prostatectomy: incidence and predictive factors using the modied Gleason grading
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Part IV
Prostate Imaging and Staging
A History ofReporting Standards forProstate Magnetic Resonance Imaging: PI-RADS, PRECISE, PI-QUAL, PI-RR, andPI-FAB
CameronEnglman, JurgenJ.Fütterer, FrancescoGiganti, andCarolineM.Moore
14

Introduction

Prostate magnetic resonance imaging (MRI) is now an established tool in the detection and man­agement of prostate cancer (PCa). Initially, it was used for staging patients with known PCa before surgery or radiation therapy (RT) by establishing if there was extraprostatic extension (EPE) or seminal vesicle involvement (SVI) [1]. Today, multiparametric MRI (mpMRI) can provide a detailed picture of the prostate and surrounding tissues with different sequences, such as T2-weighted imaging (T2-WI), diffusion­weighted imaging (DWI), and dynamic contrast­enhanced (DCE) acquisitions, useful for detecting the anatomy, cellularity, and vascularity of the prostate, respectively [2].
Chapter for the rst ofcial textbook of the Focal Therapy
Society called “Imaging and Focal Therapy of Early Prostate Cancer.”
C. Englman · F. Giganti Division of Surgery and Interventional Science, University College London, London, UK
Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK e-mail: cameron.englman.21@ucl.ac.uk; f.giganti@
ucl.ac.uk
J. J. Fütterer Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands e-mail: J.Futterer@rad.umcn.nl
As MRI has been shown to provide an increas­ingly reliable visualisation of clinically signi­cant PCa (csPCa), its role has expanded greatly. When used for triage, MRI facilitates a more accurate selection of patients for biopsy and helps patients defer or avoid unnecessary proce­dures [3]. MRI-guided biopsy has been demon­strated to be diagnostically superior to the standard transrectal ultrasonography-guided (TRUS) approach [4, 5]. Moreover, MRI helps to select and monitor appropriate candidates for active surveillance (AS) [6], plan for radical prostatectomy (RP) or RT, guide focal therapies (FT), and detect local failure or recurrence after treatment [7].
Consequently, PCa guidelines around the world have gradually supported the use of MRI. Recommendations developed by the European Association of Urology (EAU), rst in 2011 and later revised, suggested that mpMRI should be used before repeat biopsy when suspi-
C. M. Moore (*) Division of Surgery and Interventional Science, University College London, London, UK
Department of Urology, University College London Hospital NHS Foundation Trust, London, UK e-mail: caroline.moore@ucl.ac.uk
© 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_14
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cion of PCa persists despite negative biopsy ndings [810]. In the United Kingdom, the National Institute for Health and Care Excellence (NICE) guidelines incorporated mpMRI in 2014 for patients with positive biopsy ndings for whom radical treatment or AS was being consid­ered and for those with negative TRUS biopsy ndings for whom a suspicion of PCa persisted [11]. In 2018, the National Health Service for England recommended patients with suspected PCa receive mpMRI before biopsy [12], and there was a UK consensus meeting in the same year on implementing mpMRI in the PCa diag­nostic pathway [13].
In the United States, the American College of Radiology (ACR) Appropriateness Criteria sup­ported the use of prostate MRI for a range of clinical scenarios since 2013 [14]. The American Urologic Association endorsed mpMRI for patients with abnormal digital rectal examination (DRE) ndings or elevated prostate-specic anti­gen (PSA) levels and a previous negative biopsy nding in 2017 [15], and in 2019, this was revised to include MRI prior to biopsy for all patients, where high-quality scans are available [16].
Nevertheless, as acceptance and the use of MRI in the management of PCa has grown, so too has the demand for recommendations and standards that provide a consistent approach to MRI acquisition, interpretation, and reporting. This chapter aims to review the history of pros­tate MRI reporting standards and will provide an overview of various key guidelines and scoring systems in roughly chronological order. First, it will describe the early consensus meetings on prostate MRI.Then, it will provide an overview of guidelines and scoring systems for prostate MRI including recommendations on reporting prostate MRI for the rst diagnosis of cancer or in treatment naïve patients [1719], MRI­targeted biopsies [20], patients on AS [21], assessment of EPE and metastasis [22, 23], can­cer recurrence after treatment with surgery or radiotherapy [24], and after FT. [25] Additionally, it will look at the recommendations for scoring MR image quality [26].

Early Prostate MRI Consensus Meetings

The rst consensus meeting on prostate MRI, led by Dickinson and colleagues from University College London, took place in 2009 at the Royal College of Surgeons of England in London with panellists from across Europe and the United States [27]. It was recommended that T2-WI, DWI, and DCE were the key sequences for the detection, localisation, and characterisation of PCa. Perhaps, the most signicant recommenda­tion was for the use of an ordinal 5-point Likert scale to communicate the probability of malig­nancy on MRI (with 1 = highly unlikely, 2 = unlikely, 3 = equivocal, 4 = likely, and 5=highly likely). The consensus panel also con­cluded that a minimum of 16n prostatic regions of interest should be examined, and a pictorial representation of suspicious foci should be included in the MRI reports.
In 2013, another consensus meeting on pros­tate MRI led by Kirkham etal. took place in the United Kingdom [28]. One important recommen­dation was to wait at least 10 weeks before acquiring a post-biopsy scan to avoid MRI arte­facts. Secondly, since prostate MRI interpretation is difcult for inexperienced readers, and the learning curve is steep, the panel recommended that reporters should report at least 50 scans per year and regularly attend multidisciplinary meetings.
MRI Prior toDiagnosis
In 2012, the European Society of Urogenital Radiology (ESUR) proposed a standardised reporting system for prostate MRI called the Prostate Imaging Reporting and Data System (PI-RADS) [17]. Separate protocols for detec­tion, staging, and node and bone assessment were described. In terms of image interpretation and reporting, a PI-RADS score from 1 to 5 indicated the likelihood of a patient harbouring csPCa on each MRI sequence (T2-WI, DWI, DCE, and
14 A History of Reporting Standards for Prostate Magnetic Resonance Imaging: PI-RADS, PRECISE…
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also spectroscopy), and the overall PI-RADS score was then assessed. In addition to image interpretation criteria, the document included sections with recommended clinical consider­ations such as patient preparation, minimum technical requirements for each sequence to achieve good quality scans, including scanner eld strength, coil options, slice thickness, and spatial resolution, as well as reporting elements beyond lesion appearance (e.g. guidance on how to accurately measure prostate volume and lesion size) [29].
PI-RADS v2
Subsequently in 2015, the ESUR, in collabora­tion with the ACR and the AdMeTech Foundation, revised the PI-RADS guidelines and released v2 [19]. Table 14.1 shows the key differences between the different iterations of PI-RADS.The main difference was simplied recommendations for the interpretation of DCE ndings and the identication of dominant sequences (T2-WI for the transition zone [TZ] and DWI for the periph­eral zone [PZ]), which could be used to deter­mine the overall PI-RADS v2 score. Furthermore, despite the initial excitement about spectroscopy, this technique fell out of favour and was no lon­ger recommended. Studies found that spectros­copy provided no additional value to other sequences in patients with relatively low-volume and low-risk disease who underwent RP [30], and although it was an effective technique for detection of aggressive cancers [3133], DWI was able to give the same information in less time and with less required expertise [1].
PI-RADS v2 was shown to improve PCa detection on MRI compared to the rst version and several studies validated the scoring system [3436]. A meta-analysis by Woo et al. demon­strated a signicantly higher pooled sensitivity of PI-RADS v2 compared with PI-RADS (0.95 vs.
0.88; p=0.04), although a similar pooled speci­city (0.73 vs. 0.75; p=0.90) [37]. The updated version also resulted in a broader clinical uptake of PI-RADS.
PI-RADS v2.1
Yet, limitations with the PI-RADS v2 recommen­dations and ambiguities with the scoring system led a panel of experts to recommend several adjustments once again [3, 18, 3840]. The PI-RADS Steering Committee suggested minor changes aimed at simplifying assessment and reducing inter-reader variability, without chang­ing the overall scope or principles introduced in PI-RADS v2 [19]. Accordingly, these were labelled PI-RADS v2.1 rather than ‘version 3’ [18, 41]. Modications included continued revi­sions to the technical specications to account for newer scanners and available sequences, a distinction between typical and atypical nodules in the TZ, and an updated scoring system that placed greater emphasis on DWI for overall lesion scoring (Table14.1).
Table 14.1 Summary of the major changes between the different versions of PI-RADS
Changes from PI-RADS v1 to v2
• Inclusion of high-b-value DWI
• Removal of spectroscopy sequence
• Concept of “dominant” sequence based on lesion location (i.e. PZ vs. TZ)
• Less emphasis on the DCE sequence with use of binary scoring as opposed to 5-point scale
• Differentiation between PI-RADS 4 and 5 lesions based on size cut-off (>1.5cm) and/or presence of EPE
DCE dynamic contrast-enhanced, DWI diffusion­weighted image, EPE extraprostatic extension, MRI mag­netic resonance imaging, PI-RADS prostate imaging reporting and data system, PZ peripheral zone, TZ transi­tion zone
Changes from PI-RADS v2 to v2.1
• Minor revisions to MRI technical specications
• DCE is still recommended, although biparametric MRI is acknowledged
• Greater emphasis placed on DWI for overall lesion scoring
• Distinction between typical and atypical nodules in the TZ
• Modications of sector map to include 41 prostatic regions (an increase in two relating to the right and left posterior medial PZ)
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Radiologists have still reported limitations with the current PI-RADS v.2.1 recommenda­tions [4244]. Purysko et al. highlighted the ambiguous language and lack of validation for some newly introduced criteria [43]. They pro­posed the need for systematic evaluation and reporting of the background prostate appearance, which can negatively affect cancer detection; a new category for lesions that do not t into the typical appearance for PCa; inclusion of quanti­tative parameters beyond lesion size to evaluate lesion aggressiveness; and standardised assess­ment of the risk of EPE [43]. Likewise, a critical review by Gupta etal. offered some other sugges­tions for future directions [44]. These included the use of clinical information in PI-RADS reporting (specically PSA density); the ideal positive biopsy rate for each PI-RADS category; and further clarication on the role of biparamet­ric MRI (bpMRI) as well as articial intelligence in prostate MRI interpretation [45]. The PI-RADS Steering Committee envision the recommenda­tions will continue to evolve over time as more data become available [3], and future versions may address some of these issues.
Table 14.2 Comparison between use of a 5-point Likert scale and PI-RADS v2.1 for reporting prostate MRI
5-point Likert scale PI-RADS v2.1
• No specic criteria to dene each risk category
• Can be tweaked according to the experience of the reader
• Can be adjusted based on parameters beyond imaging appearance (e.g. age, PSA, PSA density, and previous biopsy results)
• Can be used in variety of settings such as suspected disease recurrence after radiation or focal therapy
• No minimum lesion size for assigning Likert 5 scores
MRI magnetic resonance imaging, PI-RADS prostate imaging reporting and data system, PSA prostate-specic antigen
• Scope is for initial MRI assessment and not for assessment post-treatment
• Uses a zone-specic dominant MRI pulse sequence and specic criteria for each score
• Requires a minimum size of 15mm (if there are no signs of invasive behaviour) to be classied as PI-RADS 5
PI-RADS Vs. Likert Score
All in all, PI-RADS has been fundamental in improving the standardisation of prostate MRI reporting. It provides criteria to assess the risk that an MRI lesion represents csPCa, a uniform foundation for teaching radiologists how to inter­pret scans, a basis with which to compare studies allowing for more powerful meta-analyses, and it simplies communication among the variety of specialists involved in the eld of PCa. At present, it is widely used in clinical practice; however, some experienced genitourinary radiologists (especially in the United Kingdom) still prefer the more subjective Likert scoring system outlined in the early consensus meetings [27]. Table 14.2 compares the two scoring systems. PI-RADS is a more comprehensive document, whereas Likert is a more exible scoring system that allows report­ers to consider other parameters (e.g. prostate background on mpMRI or PSA density). The
Likert scale may be preferable at times given that not all situations t the PI-RADS scoring criteria perfectly [29], and, notably, is still recommended in the UK NICE guidelines [46].
Studies comparing PI-RADS and Likert scales have demonstrated mixed results in terms of mpMRI diagnostic performance [47]. Walker et al. assessed PCa detection rates stratied by PI-RADS v.2.1 score, with targeted biopsies as the reference standard, and found csPCa in 0%, 6%, 15%, 44%, and 80% of the category 1, 2, 3, 4, and 5 lesions, respectively [48]. In compari­son, a similar study by Shin etal. assessed PCa detection rates stratied by Likert scores and found csPCa in 4%, 4%, 12%, 33%, and 48% of the category 1, 2, 3, 4, and 5 lesions [49]. However, a study by Khoo etal. demonstrated a slightly higher accuracy for Likert scales in the hands of experienced operators [50], and Rosenkrantz etal. found that it performed better than PI-RADS v1 in the more challenging TZ [51], although the recommendations for assess-
14 A History of Reporting Standards for Prostate Magnetic Resonance Imaging: PI-RADS, PRECISE…
139
ment of the TZ have since been updated in PI-RADS v2.1 [41]. Additionally, a study by Zawaideh etal. found that although Likert and PI-RADS demonstrate high csPCa detection rates, Likert had a moderately higher specicity and positive predictive value (PPV) [52]. Finally, studies comparing inter-reader agreement have found no substantial differences [53, 54].
Therefore, the decision to use one system over the other may depend on the practice setting, per­sonal preference, and experience of the interpret­ing radiologist with each approach. Indeed, some radiologists may favour a combination approach that includes using PI-RADS during the initial learning stages of interpreting prostate MRI and then the Likert scale to rene reporting as they gain more experience [29].

MRI-Targeted Biopsies

In 2013, Moore and colleagues published the START consortium recommendations for report­ing MRI-targeted biopsy studies [20]. The panel­lists highlighted the importance of reporting standard and MRI-targeted biopsies separately and provided a checklist to improve the quality of these studies. They recommended reporting on the conduct of MRI including the magnetic eld strength, specic coils used, and a brief descrip­tion of the sequences attained. They also sug­gested listing the reporting method used,
including the use of any scoring system for suspi­cion of PCa, whether prose or a diagrammatic report was used, whether the radiologist was blinded to the clinical information, and the expe­rience of the reporting radiologist.
MRI inActive Surveillance
Active surveillance is a management option for patients with low- and intermediate-risk PCa that involves close monitoring with the intent to inter­vene only following cancer progression to high­grade disease. It aims to reduce over-treatment and treatment-related side effects without com­promising on patients’ survival and usually con­sists of a combination of serial PSA tests, biopsies, and MRI scans. However, a 2015 sys­tematic review found that there was no consis­tency across the reporting of serial MRI scans during AS, which prevented meaningful analysis and comparison of the data between studies [55]. This led to a consensus meeting on reporting MRI in AS with 19 experts and development of the Prostate Cancer Radiologic Estimation of Change in Sequential Evaluation (PRECISE) recommendations [21].
The PRECISE recommendations include a 1-to-5 Likert scoring system for identifying the likelihood of radiological change occurring between baseline and follow-up MRI scans for patients on AS (Table14.3). It is intended to lead
Table 14.3 PRECISE score for assessing serial MRI in patients on active surveillance
Assessment of likelihood of radiological
PRECISE score 1 Resolution of previous features
2 Reduction in volume and/or conspicuity
3 Stable MRI appearance: no new focal/
4 Signicant increase in size and/or
5 Denitive radiological stage
MRI magnetic resonance imaging
progression Example
Previously enhancing area no longer enhances
suspicious on MRI
Reduction in size of previously seen lesion that
of previous features suspicious on MRI
diffuse lesions
conspicuity of features suspicious for prostate cancer
progression
remains suspicious for clinically signicant disease Either no suspicious features on all lesions stable in
size and appearance Lesion becomes visible on diffusion- weighted
imaging: signicant increase in size previously seen lesion
Appearance of extracapsular extension, seminal vesicle involvement, lymph node involvement, or bone metastasis
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C. Englman et al.
to the identication of AS patients who progress (i.e. PRECISE 4–5) in a timely manner and thereby prompt rebiopsy or treatment. It is also intended to help avoid repeat biopsy and lower surveillance intensity for radiologically stable patients (i.e. PRECISE 1–3), and by doing so, reduce the burden of surveillance on these indi­viduals as well as the broader healthcare system. In addition, a standardised case report form was designed for reporting MRI scans, as well as a checklist for investigators reporting the results of MRI-inuenced AS cohorts.
Several AS cohorts have now been published using the PRECISE recommendations [5661]. Yet, a meta-analysis on MRI-led AS only found a non-signicant trend towards improved perfor­mance in the pooled sensitivity, specicity, and accuracy of serial MRI for progression in cohorts using the PRECISE score [62]. The interobserver reproducibility of the PRECISE score was shown to be comparable to other scoring systems such as PI-RADS and in a retrospective analysis of 80 patients on AS, where two expert radiologists assessed scans independently, high agreement levels were shown per patient (79%) and per scan (81%) [63]. However, several limitations with the recommendations have also been reported [6, 64,
65]. Harder etal. pointed out that the recommen-
dations do not clarify a preferable approach for lesion size measurement, do not dene the exact sequence on which size should be measured, and are vague regarding the denition of imaging ndings [64]. Sanmugalingam et al. noted that the recommendations do not consider image quality or differentiate between stable follow-up in the settings of MRI-visible versus MRI­invisible disease [65]. Further, they proposed a subcategory of ‘3F’ for lesions that show slight, but not signicant, progression [65].
The use of MRI for AS continues to grow. In a 2022 consensus meeting on best practice in AS, the panel recommended utilising MRI to avoid DRE and as the rst assessment for changes in PSA, as well as the omission of repeat standard biopsy when PSA and MRI are stable [66]. Furthermore, in September 2023 an expanded group of 38 experts from 13 countries met to update the PRECISE recommendations in order
to address some of the limitations with the rst version. The PRECISE v2 recommendations are expected in due course.
Reporting Extraprostatic Extension andMetastasis
Once PCa has been diagnosed, it is also crucial to determine whether the cancer has spread beyond the prostatic capsule. EPE is an important indica­tor of PCa aggressiveness and is an independent predictor of biochemical recurrence (BCR)-free survival [6770]. Although PI-RADS addresses various features of EPE such as tumour contact length, irregularity, bulging, gross extension, and loss of rectoprostatic angle, it does so in a vague way and does not assign relative predictive values to these features [71]. Therefore, in 2019 Mehralivand et al. proposed a 3-point grading system for predicting the likelihood of EPE: Grade 1 refers to tumours with a contact length1.5cm or contour bulge or irregularity; Grade 2 refers to tumours with a contact length1.5cm and contour bulge or irregularity; and Grade 3 refers to gross visible extension beyond the prostate [22]. They tested their scor­ing system on 553 patients who underwent mpMRI prior to RP and found Grade 1, Grade 2, and Grade 3 had sensitivities of 24%, 36%, and 66%, respectively, for the detection of EPE on histopathology [22]. They noted that incorporat­ing PSA level and Gleason score improved per­formance, but made no suggestions on how these should be added to the scoring system [22].
Other studies looked at the diagnostic perfor­mance of 5-point Likert scales for assessment of EPE [23, 72, 73]. In a study on 89 patients by Freifeld et al., whole-mount histopathology revealed organ-conned PCa, EPE, and SVI in 49%, 46%, and 18% of patients, respectively. They found that PPV for scores of 4 or 5 was 64% for EPE and 90% for SVI and the negative predictive value for scores of 1 or 2 was 87% for EPE and 93% for SVI.Reisaeter etal. compared Likert and 3-point EPE grading systems on more than 300 patients and found that the 3-point scale performed better [72]. The average sensitivity