Prostate Multiparametric Magnetic Resonance Imaging Research Articles

Correlation of SUVmax and Apparent Diffusion Coefficient Values Detected by Ga-68 PSMA PET/MRI in Primary Prostate Lesions and Their Significance in Lymph Node Metastasis: Preliminary Results of an On-going Study

Objectives:Gallium-68 (Ga-68) prostate specific membrane antigen (PSMA) positron emission tomography (PET) has been shown to be more accurate than multiparametric prostate magnetic resonance imaging (MRI) in detection of primary prostate lesions. Using hybrid PET/MRI we aim to detect the correlation between SUVmax and apparent diffusion coefficient (ADC) in primary prostate lesions and to assess their prognostic value in detection of lymph node (LN) metastasis.Methods:Twenty-six patients, who were diagnosed as having prostate cancer with biopsy and underwent Ga-68 PSMA PET/MRI together with biparametric prostate MRI (bpMRI) were included. SUVmax, SUVmean and ADC were recorded for index lesions drawing a region of interest (ROI) of 1 cm2 around the pixel with the highest SUVmax (ROI-1) and another ROI following borders of prostate tumor detected by bpMRI (ROI-2). Presence of LN metastasis was recorded according to PSMA PET/MRI.Results:SUVmax was inversely correlated with ADC (ROI-1: p=0.010; ROI-2: p=0.017 for b=800). SUVmax and SUVmeans were both higher in patients with LN metastasis and ADC was lower in patients with LN metastasis for ROI-1. SUVmax cut-off value of 19.8 for ROI-1 and 20.9 for ROI-2 had sensitivity and specificity of 77.8% and 76.5%, respectively for detection of LN metastasis, whereas ADC (b=800) cut-off value of 0.92x10-3 mm2/s had sensitivity and specificity of 87.5% and 76.5%, respectively. SUVmax/ADC (b=800) ratio increased the sensitivity and specificity to 100% and 82.4%, respectively.Conclusion:SUV and ADC values are inversely correlated in primary prostate lesions and the combined use of both values increases the diagnostic accuracy of hybrid PET/MRI in the detection of primary prostate lesions.

Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score.

Biochemical recurrence (BCR) affects a significant proportion of patients who undergo robotic-assisted laparoscopic prostatectomy (RALP). To evaluate the performance of a routine clinical prostate multiparametric magnetic resonance imaging (mpMRI) and Decipher genomic classifier score for prediction of biochemical recurrence in patients who underwent RALP. Retrospective cohort study. Ninety-one patients who underwent RALP performed by a single surgeon, had mpMRI before RALP, Decipher taken from RALP samples, and prostate specific antigen (PSA) follow-up for >3 years or BCR within 3 years, defined as PSA >0.2 mg/ml. FIELD STRENGTH/SEQUENCE: mpMRI was performed at 27 different institutions using 1.5T (n = 10) or 3T scanners and included T2 w, diffusion-weighted imaging (DWI), or dynamic contrast-enhanced (DCE) MRI. All mpMRI studies were reported by one reader using Prostate Imaging Reporting and Data System v. 2.1 (PI-RADsv2.1) without knowledge of other findings. Eighteen (20%) randomly selected cases were re-reported by reader B to evaluate interreader variability. Univariate and multivariate analysis using greedy feature selection and tournament leave-pair-out cross-validation (TLPOCV) were used to evaluate the performance of various variables for prediction of BCR, which included clinical (three), systematic biopsy (three), surgical (six: RALP Gleason Grade Group [GGG], extracapsular extension, seminal vesicle invasion, intraoperative surgical margins [PSM], final PSM, pTNM), Decipher (two: Decipher score, Decipher risk category), and mpMRI (eight: prostate volume, PSA density, PI-RADv2.1 score, MRI largest lesion size, summed MRI lesions' volume and relative volume [MRI-lesion-percentage], mpMRI ECE, mpMRI seminal vesicle invasion [SVI]) variables. The evaluation metric was the area under the curve (AUC). Forty-eight (53%) patients developed BCR. The best-performing individual features with TLPOCV AUC of 0.73 (95% confidence interval [CI] 0.64-0.82) were RALP GGG, MRI-lesion-percentage followed by biopsy GGG (0.72, 0.62-0.82), and Decipher score (0.71, 0.60-0.82). The best performance was achieved by feature selection of Decipher+Surgery and MRI + Surgery variables with TLPOCV AUC of 0.82 and 0.81, respectively DATA CONCLUSION: Relative lesion volume measured on a routine clinical mpMRI failed to outperform Decipher score in BCR prediction. 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:1075-1085.

Reducing Unnecessary Prostate Multiparametric Magnetic Resonance Imaging by Using Clinical Parameters to Predict Negative and Indeterminate Findings.

We sought to develop a triage strategy to reduce negative and indeterminate multiparametric magnetic resonance imaging scans in patients at risk for prostate cancer. In this retrospective study we evaluated 865 patients with no prior prostate cancer diagnosis who underwent prostate multiparametric magnetic resonance imaging between 2009 and 2017. Age, prostate volume, prostate specific antigen and prostate specific antigen density were assessed as predictors of positive multiparametric magnetic resonance imaging, defined as PI-RADS™ (Prostate Imaging Reporting and Data System) version 2/Likert score 4 or greater. The cohort was split into a training cohort of 605 patients and a validation cohort of 260. The optimal threshold to rule out positive multiparametric magnetic resonance imaging was chosen to achieve a negative predictive value greater than 90%. All clinical variables were significant predictors of positive multiparametric magnetic resonance imaging (p <0.05). Prostate specific antigen density outperformed other parameters in diagnostic accuracy and did not significantly differ compared to a multivariate model (AUC=0.74 vs 0.75). At prostate specific antigen density greater than 0.078 ng/ml2 sensitivity, specificity, positive and negative predictive values were 94%, 29%, 22% and 95%, respectively, resulting in 25% fewer scans (64 of 260). In the multivariate model sensitivity, specificity, positive and negative predictive values were 85%, 32%, 22% and 91%, respectively, resulting in 29% fewer scans (75 of 260). Biopsies in men who would not have undergone multiparametric magnetic resonance imaging according to our proposed strategies revealed 2 clinically significant prostate cancers using prostate specific antigen density and 1 using the multivariate model. In patients at risk for prostate cancer applying a multivariate prediction model or a prostate specific antigen density cutoff of 0.078 ng/ml2 resulted in 25% to 29% fewer multiparametric magnetic resonance imaging scans performed while missing only a minimal number of clinically significant prostate cancers. Further prospective validation is required.

Correlation between ADC values and Gleason score in evaluation of prostate cancer: multicentre experience and review of the literature.

Prostate cancer (PCa) is one of the most common cancers in male population. Multiparametric prostate magnetic resonance imaging (mp-MRI) has assumed a primary role in the diagnosis of PCa, combining morphological and functional data. Among different sequences, functional diffusion weighted imaging (DWI) is a powerful clinical tool which provides information about tissue on a cellular level. However, there is a considerable overlap between either BPH (Benign Prostate Hypertrophy) and prostatic cancer condition, as a different DWI signal intensity could be shown in the normal architecture gland. Apparent diffusion coefficient (ADC) has shown an increasing accuracy in addition to the DWI analysis in detection and localization of PCa. Notably, ADC maps derived DWI sequences has shown an overall high correlation with Gleason score (GS), considering the importance of an accurate grading of focal lesion, as main predictor factor. Furthermore, beyond the comparative analysis with DWI, ADC values has proven to be an useful marker of tumor aggressiveness, providing quantitative information on tumor characteristics according with GS and Gleason pattern, even more strenuous data are needed in order to verify which ADC analysis is more accurate.

Diagnostic Performance of Prostate Multiparametric Magnetic Resonance Imaging in African-American Men

To compare test performance of multiparametric magnetic resonance imaging (mpMRI) for detection of prostate cancer (PCa) in African-American men (AAM) and white men (WM) using the Prostate Imaging Reporting and Data System in unmatched groups as well as a cohort matched for clinical factors. We examined our database of men who underwent prostate mpMRI prior to biopsy between October 2014 and June 2017 (n = 601; 60 AAM, 541 WM). Test performance was defined using Prostate Imaging Reporting and Data System classification 4 or 5 considered test positive and Gleason grade group 2 or greater from any biopsy core considered outcome positive. A subset analysis was performed using a propensity score caliper matching algorithm to match AAM to WM in a 1:2 ratio using the variables age, PSA, and PSA density. No significant differences in test performance were found with similar sensitivity (86.7% vs 83.6, P = 1.00), specificity (45.9% vs 49.1%, P = .71), positive predictive value (50.0% vs 46.9%), and negative predictive value (85.0% vs 84.8%, P = 1.00) for AAM and WM. Similar results were noted in our matched comparison. The rate of upgrading between targeted and systematic biopsy cores did not statistically differ between AAM and WM in both unmatched (12.2% vs. 15.8%, P = .66) and matched (12.2% vs 12.8%, P = .92) comparisons. Our findings provide supporting evidence that AAM have similar outcomes to WM in PCa detection using mpMRI. We suggest that mpMRI should not be withheld or offered preferentially on the basis of race when used for the detection of PCa.

Personalizing prostate cancer diagnosis with multivariate risk prediction tools: how should prostate MRI be incorporated?

Risk-based patient selection for systematic biopsy in prostate cancer diagnosis has been adopted in daily clinical practice, either by clinical judgment and PSA testing, or using multivariate risk prediction tools. The use of multivariable risk prediction tools can significantly reduce unnecessary systematic biopsies, without compromising the detection of clinically significant disease. Increasingly multi-parametric magnetic resonance imaging (MRI) is performed, not only in men with a persistent suspicion of prostate cancer after prior negative systematic biopsy, but also at initial screening before the first biopsy. The combination of MRI and multivariate risk prediction tools could potentially enhance prostate cancer diagnosis using multivariate MRI incorporated risk-based models to decide on the need for prostate MRI, but also using MRI results to adjusted risk-based models, and to guide MRI-directed biopsies. In this review, we discuss the diagnostic work-up for clinically significant prostate cancer, where the combination of MRI and multivariate risk prediction tools is integrated, and how together they can contribute to personalized diagnosis.

Abbreviated Protocols versus Multiparametric MRI for Assessment of Extraprostatic Extension in Prostatic Carcinoma: A Multireader Study.

Prostate multiparametric magnetic resonance imaging (mpMRI) is the reference imaging modality for extraprostatic extension of disease (EPE) assessment. We aimed to compare the diagnostic accuracy of different abbreviated MRI protocols to the standard prostate mpMRI in the identification of EPE of PCa. Fifty patients were retrospectively enrolled. Dual-pulse (dpMRI) and biparametric (bpMRI) abbreviated protocols were obtained from mpMRI. The performance of two experienced radiologists and two radiology residents was correlated with a reference standard and compared. Inter and intra-reader agreements were evaluated. All protocols were strongly correlated to the reference standard (p≤0.001). A significant difference was found between dpMRI and mpMRI (p=0.009), no differences emerged between bpMRI and mpMRI (p=0.27). All readers showed moderate agreement (ĸ=0.47, ĸ=0.50 and ĸ=0.53 for dpMRI, bpMRI and mpMRI, respectively). Intra-reader agreement was good (all ĸ values ≥0.70). Only bpMRI showed similar diagnostic performance to mpMRI, thus appearing as a feasible alternative to the standard protocol for EPE detection.

Multiparametric MRI prior to radical prostatectomy identifies intraductal and cribriform growth patterns in prostate cancer.

To evaluate the diagnostic value of multiparametric prostate magnetic resonance imaging (mpMRI) prior to radical prostatectomy with curative intent for the detection of cribriform architecture (CA) and intraductal prostate cancer (IDC), which have recently been demonstrated to be adverse pathological features. The study included 124 men who underwent mpMRI prior to radical prostatectomy at our centre. Preoperative mpMRI, prostatectomy histology and clinical follow-up details were reviewed retrospectively. The diagnostic value of mpMRI was evaluated on the basis of the detection rate. Secondly, the prognostic significance of CA/IDC among grade group (GG)2 cancers with regard to biochemical recurrence (BCR)-free survival was assessed using Kaplan-Meier analysis, with the log rank test and Fisher's exact test. Pathological examination of radical prostatectomy specimens identified CA/IDC in 89 of 124 cases (71%) and mpMRI identified 86/95 of tumours including any CA/IDC with a sensitivity of 90.5% (95% confidence interval 82.8-95.6%). When localization of the lesions was compared, there was an association between the highest Prostate Imaging-Reporting and Data System classification and the highest pathological grade in 106 of the 124 cases (85.5%). In patients with GG2 lesions, BCR occurred in 11 of 31 (35.5%) with CA/IDC and two of 21 (9.5%) without CA/IDC (P = 0.034). Multiparametric MRI has good sensitivity for detection of pathological primary prostate cancer, including most cases with CA/IDC; however, reliable prediction of GG2 tumours with CA/IDC for individual risk stratification remains challenging.

Negative Predictive Value of Prostate Multiparametric Magnetic Resonance Imaging among Men with Negative Prostate Biopsy and Elevated Prostate Specific Antigen: A Clinical Outcome Retrospective Cohort Study.

We estimated the negative predictive value of prostate multiparametric magnetic resonance imaging to detect clinically significant (Gleason 7 or greater) prostate cancer at long-term followup (median 6.7 years, range 2.6 to 10.7), in men with negative biopsy findings before magnetic resonance imaging. We also assessed the diagnostic performance of multiparametric magnetic resonance imaging to detect clinically significant prostate cancer during this time. Following Institutional Research Ethics Board approval we retrospectively identified men who underwent prostate multiparametric magnetic resonance imaging after biopsy between 2004 and 2009 using a cancer registry database and magnetic resonance imaging reports. Multiparametric magnetic resonance imaging sequences comprised T2-weighted and dynamic contrast-enhanced series from 2004 to 2005 with diffusion-weighted imaging from 2006 and thereafter. Clinical outcomes were assessed up to July 2015 by reviewing subsequent pathology results, prostate specific antigen levels and electronic patient records. The primary outcome was clinically significant prostate cancer diagnosis during followup. We also estimated the sensitivity, specificity, and positive and negative predictive values of all prostate multiparametric magnetic resonance imaging during this period. A total of 502 multiparametric magnetic resonance imaging scans with a prior biopsy were included in study. Of these scans 121 were done in men with a prior systematic biopsy negative for cancer. In these men median prostate specific antigen was 9.5 ng/dl and median age was 60 years. At a median followup of 6.7 years (95% CI 2.6 to 10.7) 70 of 73 (96%) men with negative multiparametric magnetic resonance imaging findings remained free of clinically significant prostate cancer. In this period the overall negative and positive predictive values of multiparametric magnetic resonance imaging were 86% (range 80% to 91%) and 54% (range 52% to 57%), respectively, in the entire cohort regardless of biopsy status before magnetic resonance imaging. Prostate multiparametric magnetic resonance imaging has high clinical negative predictive value. In men with a negative biopsy before magnetic resonance imaging and negative magnetic resonance imaging findings the risk of clinically significant prostate cancer was extremely low at a median of 6.7 years.

Effects of the addition of quantitative apparent diffusion coefficient data on the diagnostic performance of the PI-RADS v2 scoring system to detect clinically significant prostate cancer.

To evaluate the impact of the addition of quantitative apparent diffusion coefficient (ADC) data into the diagnostic performance of the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) scoring system to predict clinically significant prostate cancer (CSPCa). We retrospectively included 91 consecutive patients who underwent prostate multiparametric magnetic resonance imaging (mp-MRI) and histopathological evaluation. Mp-MRI images were reported by the PI-RADSv2 scoring system and patients were divided into groups considering the likelihood of CSPCa. ADC value and ratio were obtained. Findings were correlated with histopathological data. CSPCa was found in 41.8% of cases (n = 38). PI-RADSv2 score 3-5 yielded a sensitivity of 97.4% (95% confidence intervals 86.5-99.5), a specificity of 50.9% (37.9-63.9), and AUC of 0.74 (0.67-0.81) to predict CSPCa. ADC value < 750µm2/s and an ADC ratio < 0.62 were the most accurate thresholds for differentiation of CSPCa, with AUC of 0.81 and 0.76, respectively. Combined PI-RADSv2 score 3-5 and ADC value < 750µm2/s yielded a specificity of 84.9 (72.9-92.2), sensitivity of 70.3 (54.2-82.5), and AUC of 0.77 (0.68-0.86). Combined PI-RADSv2 score 3-5 and ADC ratio < 0.62 yielded a specificity of 86.5 (74.7-93.3), sensitivity of was 64.9 (48.8-78.2), and AUC of 0.75 (0.66-0.84). Quantitative ADC data might not be beneficial to be used routinely in mp-MR imaging as criteria to detect clinically significant lesions due to the reduced sensitivity. Instead, when prostate lesions present a PI-RADSv2 score ≥ 3, additional quantitative ADC criteria can be helpful to increase the PI-RADS score specificity.

Teaching Urologists “How to Read Multi-Parametric Prostate MRIs Using PIRADSv2”: Results of an iBook Pilot Study

ObjectiveTo create an online resource that teaches urologists how to interpret prostate multiparametric magnetic resonance imaging (mpMRI). As prostate mpMRI becomes widely adopted for cancer diagnosis and targeted biopsy, it is increasingly important that urologists are comfortable and experienced in assessing the images. The purpose of this study was to create an online mpMRI ibook and measure its effect on instilling proficiency among urology residents. MethodsWe created a case-based ibook aimed at teaching clinicians how to identify and score prostate lesions on mpMRI using the Prostate Imaging-Reporting and Data System (PIRADS) v2. Residents completed a 43-question pretest before gaining access to the ibook for 1 month. The test asks participants to identify and score visible lesions using interactive mpMRI images. After a formal review of the material, they completed a post-test. Participants also rated their diagnostic confidence on a scale of 1-10 before and after reviewing the ibook. The change in performance and confidence scores for each resident was compared using Wilcoxon signed-rank test. ResultsEleven urology residents completed the pretest, review session and post-test. The mean test score rose from 37% (median 40%) to 57% (median 58%) after reviewing the ibook. Improvement was significant (P= .0039). Confidence scores also improved (P = .001). ConclusionWe created an interactive ibook that teaches urologists how to evaluate prostate mpMRIs and demonstrated improved performance in interpretation among urology residents. This effective module can be incorporated into resident education on a national level and offered as a self-teaching resource for practicing urologists.

Barriers to obtaining prostate multi-parametric magnetic resonance imaging in African-American men on active surveillance for prostate cancer.

PurposeMagnetic resonance imaging is playing an ever‐bigger role in the management of prostate cancer. This study investigated barriers to obtaining multi‐parametric MRI (mpMRI) in African‐American men on active surveillance for prostate cancer in comparison to white men affected by the same type of cancer.Materials and MethodsRetrospective review of prostate mpMRI orders from August 2015 to October 2017 at a single health organization treating a diverse population was performed. Data was extracted from the electronic medical records and cancellations were examined based on the documented reason for mpMRI cancellation, race, median zip code household income, and distance from healthcare facility.ResultsOut of 793 prostate mpMRI orders, 201 (25%) went unscanned. Access to care issues accounted for 46% of unscanned orders. Patient cancellations were the most common, followed by difficulty contacting patients, and insurance denials. African‐American patients disproportionately went unscanned because institution staff were unable to contact patients (29% vs 10% in white men, P = 0.0015). Median zip code household income was significantly different between racial groups but did not vary between indication for cancellation.ConclusionsAfrican‐American prostate cancer patients' access to mpMRI is hindered more by barriers to care than White patients. Urology providers must consider these issues before using prostate mpMRI within their active surveillance pathways.

Biparametric vs multiparametric prostate magnetic resonance imaging for the detection of prostate cancer in treatment‐naïve patients: a diagnostic test accuracy systematic review and meta‐analysis

To perform a diagnostic test accuracy (DTA) systematic review and meta-analysis comparing multiparametric (diffusion-weighted imaging [DWI], T2-weighted imaging [T2WI], and dynamic contrast-enhanced [DCE] imaging) magnetic resonance imaging (mpMRI) and biparametric (DWI and T2WI) MRI (bpMRI) in detecting prostate cancer in treatment-naïve patients. The Medical Literature Analysis and Retrieval System Online (MEDLINE) and Excerpta Medica dataBASE (EMBASE) were searched to identify relevant studies published after 1 January 2012. Articles underwent title, abstract, and full-text screening. Inclusion criteria consisted of patients with suspected prostate cancer, bpMRI and/or mpMRI as the index test(s), histopathology as the reference standard, and a DTA outcome measure. Methodological and DTA data were extracted. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. DTA metrics were pooled using bivariate random-effects meta-analysis. Subgroup analysis was conducted to assess for heterogeneity. From an initial 3502 studies, 31 studies reporting on 9480 patients (4296 with prostate cancer) met the inclusion criteria for the meta-analysis; 25 studies reported on mpMRI (7000 patients, 2954 with prostate cancer) and 12 studies reported on bpMRI DTA (2716 patients, 1477 with prostate cancer). Pooled summary statistics demonstrated no significant difference for sensitivity (mpMRI: 86%, 95% confidence interval [CI] 81-90; bpMRI: 90%, 95% CI 83-94) or specificity (mpMRI: 73%, 95% CI 64-81; bpMRI: 70%, 95% CI 42-83). The summary receiver operating characteristic curves were comparable for mpMRI (0.87) and bpMRI (0.90). No significant difference in DTA was found between mpMRI and bpMRI in diagnosing prostate cancer in treatment-naïve patients. Study heterogeneity warrants cautious interpretation of the results. With replication of our findings in dedicated validation studies, bpMRI may serve as a faster, cheaper, gadolinium-free alternative to mpMRI.

Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer.

Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer.

Multiparametric MRI fusion-guided prostate biopsy in biopsy naive patients: Preliminary results from 80 patients.

The aim of this prospective study was to evaluate the early results of transrectal prostate biopsies performed under the guidance of multiparametric prostate magnetic resonance imaging (mpMRI) in biopsy naive patients. Biopsy naive patients who had prostate-specific antigen level 4-10 ng/mL and/or abnormal digital rectal examination findings and provided informed consent were examined using mpMRI. The study included 80 patients with an MRI-defined lesion with a Prostate Imaging and Reporting and Data System (PIRADS) score of ≥3. All mpMRIs were reported by the same uro-radiologist according to PIRADS version 2. An MRI-targeted biopsy was performed by an ultrasonography system with rigid fusion registration software. The first two to five core biopsies per MRI-defined lesions were obtained, and then a standard random 12-core biopsy was performed. Transrectal biopsies were performed under local anesthesia or sedoanalgesia. Of the 80 patients, 29 (36.3%) were found to have cancer using the conventional 12-core biopsy, but only 20 (25%) were found to have prostate cancer using the MRI-targeted prostate biopsy. Combining the two biopsy methods (conventional+MRI-targeted), cancer detection rate increased to 43.8% (35/80 patients). The cancer detection rate using the combined method was statistically higher than that using the conventional biopsy method (p=0.03). Using the conventional biopsy method, 960 core biopsies were collected from 80 patients. Of the 960 core biopsies, 111 (11.6%) were found to be cancer. Further, 101 suspected lesions were detected using mpMRI in 80 patients. In addition, 397 core biopsies were obtained from these lesions. Of the 397 core biopsies, 62 (15.6%) were reported as prostate cancer. The core positivity rate of MR-targeted biopsy was statistically higher than that of conventional biopsy (p=0.04). The preliminary results of MRI-targeted prostate biopsy combined with conventional biopsy suggested that the combined biopsy method was crucial in prostate cancer diagnosis especially in patients with prostate cancer suspicion and no biopsy history. However, larger sample prospective studies are needed to validate the effectiveness of MRI-targeted biopsy and combined biopsy methods.

A Multicentre Analysis of the Detection of Clinically Significant Prostate Cancer Following Transperineal Image-fusion Targeted and Nontargeted Systematic Prostate Biopsy in Men at Risk

BackgroundProstate biopsy guided by magnetic resonance imaging (MRI) is increasingly used to obtain tissue from men with suspected prostate cancer (PC). ObjectiveTo report a multicentre series of image-fusion transperineal prostate biopsies and compare the diagnostic yield of clinically significant PC (csPC) between targeted and nontargeted biopsies. Design, setting, and participantsThe study included 640 consecutive patients with elevated prostate specific antigen (PSA) presenting for first biopsy or following a previous negative transrectal biopsy under the care of 13 urologists in 11 centres in the UK (April 2014–June 2017). InterventionMultiparametric MRI was carried out in 61 approved prostate MRI centres with transperineal targeted alone (n=283) or targeted plus nontargeted (n=357) transperineal rigid image-fusion targeted biopsy (MIM-Symphony-DX). Outcome measurements and statistical analysisRates of csPC and insignificant cancer detection in targeted and nontargeted biopsies were measured using a number of thresholds to define clinical significance. The primary definition was Gleason≥4+3 or any grade ≥6mm. Results and limitationsThe mean age, median PSA, and median prostate volume for the cohort were 63.8yr (standard deviation [SD] 8.4), 6.3 ng/ml (SD 5.8), and 42.0cm3 (SD 24.7), respectively. Overall, 276/640 men (43.1%) were diagnosed with csPC. csPC was detected from targeted biopsies alone in 263/640 cases (41.1%). Of the 357 men who underwent nontargeted biopsies, three (0.8%) had csPC exclusively in nontargeted cores, with no evidence of cancer in targeted cores. Overall, 32/357 (9.0%) had csPC in nontargeted biopsies regardless of the targeted biopsy findings. Clinically insignificant disease in nontargeted biopsies was detected in 93/357 men (26.1%). Our findings were consistent across all other thresholds of clinical significance. Limitations include the lack of nontargeted biopsies in all men. ConclusionsIn this large multicentre series, nontargeted prostate biopsy cores had a low yield of csPC and a high yield of clinically insignificant PC. An image-fusion targeted-biopsy-only approach maintains high detection for csPC and low detection of clinically insignificant cancers. Patient summaryIn this report, we found that following prostate multiparametric magnetic resonance imaging and targeted transperineal biopsies of suspicious areas, the clinical value of performing additional extensive unguided biopsies of nonsuspicious areas is limited and can often find insignificant cancers that do not need treatment.

Total anatomical reconstruction during robot-assisted radical prostatectomy: focus on urinary continence recovery and related complications after 1000 procedures.

To present the functional and oncological outcomes after ≥1 year of follow-up, following an experience of >1000 robot-assisted radical prostatectomies (RARPs) with our standardised total anatomical reconstruction (TAR) technique. To evaluate which factors influence postoperative continence recovery in order to obtain a nomogram to predict the risk of postoperative urinary incontinence (UI). The enrolment phase began in June 2013 and ended in May 2017. Patients were prospectively included in the study with the following inclusion criteria: (i) localised prostate cancer (clinical stages cT1-3, cN0, cM0); (ii) indication for RP; and (iii) preoperative multiparametric prostate magnetic resonance imaging. All patients underwent RARP with the TAR technique done at the end of the demolitive phase. The continence rates were assessed at 24h, and 1, 4, 12, 24 and 48weeks after catheter removal. Patients were defined as continent if they answered 'zero pad' or 'one safety pad' per day. A logistic regression model was used to evaluate the potential impact of some pre- and intraoperative factors on postoperative urinary continence recovery. Model discrimination was assessed using an area under (AUC) the receiver operating characteristic (ROC) curve. A nomogram to predict the risk of postoperative UI after RARP with the TAR technique was generated based on the logistic model. In all, 1008 patients were enrolled in our study. At 24h, and 1, 4, 12, 24 and 48weeks after catheter removal, 621 (61.61%), 594 (58.93%), 803 (79.66%), 912 (90.48%), 950 (94.25%) and 956 (94.84%) patients were continent, respectively. In the logistic regression model, the variables analysed had a higher impact on continence recovery at 4 and 12weeks. At 4weeks, the postoperative odds of urinary continence recovery increased with the absence of diabetes [odds ratio (OR) 2.76, 95% confidence interval (CI) 1.41-5.41] and D'Amico low vs high risk (OR 2.01, 95% CI 1.01-3.99). At 12weeks, urinary continence increased with the absence of diabetes (OR 3.01, 95% CI 1.23-7.35), D'Amico low vs high risk (OR 4.04, 95% CI1.56-10.47), and D'Amico intermediate vs high risk (OR3.33, 95% CI 1.66-6.70). ROC curves were drawn andan AUC value of 61.9% (95% CI 57.49-66.36) at 4weeks and 63.8% (95% CI 58.03-69.65) at 12weeks werecomputed. Based on these parameters, two nomograms (at 4 and 12weeks postoperatively) were generated. The TAR technique conferred excellent results in the early recovery of urinary continence. Two nomograms were created, to predict preoperatively the postoperative odds of urinary continence recovery at 4 and 12weeks after RARP by integrating the presence of diabetes and D'Amico risk classification.

Imaging for initial diagnosis of localized prostate cancer

The initial diagnosis of prostate cancer has been traditionally performed using systematic core biopsies with the use of magnetic resonance imaging (MRI) reserved to problem-solving scenarios. There is currently an ongoing paradigm shift towards the use of MRI prior to targeted biopsy as the standard approach. Prostate cancer therefore does not remain the last solid tumor entity diagnosed by non-targeted techniques but joins other solid tumor entities for which targeted diagnostic approaches have existed for awhile. However, the complexity of the background tissue signal in the prostate makes lesion detection challenging. This article will provide an overview of the components of multiparametric prostate MRI and their interpretation using structured interpretation according to the current PI-RADSv2 (Prostate Imaging Reporting and Data System version 2) guidelines and of novel ultrasound techniques for primary diagnosis.

Evaluation of preoperative prostate magnetic resonance imaging for cancer control and neurovascular tissue preservation during robotic radical prostatectomy.

101 Background: Prostate multi-parametric magnetic resonance imaging (mpMRI) can precisely depict prostate cancer (PCa) location and adverse pathologic features. Surgeons can utilize this information to maximize sparing of the neurovascular bundles (NVBs) during radical prostatectomy (RP) while avoiding a positive surgical margin (PSM). We detail the technique of using preoperative mpMRI to quantify its effect regarding nerve-sparing and rates of PSMs. Methods: A prospectively maintained database was queried for robotic-assisted RPs (RARPs) with preoperative mpMRI between 2007-2017. Imaging margin risk factors (iMRF) were defined on mpMRI as frank extraprostatic extension (EPE), possible EPE, and capsular irregularity (capsular bulge, lesion-capsule contact, or lesion adjacency to the neurovascular bundles). Surgical adjustments to nerve-sparing technique (full sparing, partial sparing, and wide excision) were made based on these findings. Results: Five hundred thirty-two patients comprising 1041 prostate sides were included for analysis. Overall, PSM rate was found in 80/1041 (7.7%) sides of the prostate. iMRF were seen in 313/1041 (30.1%) prostate sides, for which adjustments were made in 244/313 (78.0%) of these. In the 69/244 (22.0%) cases where full nerve-sparing was performed despite iMRF, PSM rate was 20/69 (29%) compared to 33/244 (13.5%), p = 0.002. MRI-guided surgical adjustments decreased PSM risk by 68% and 15% in pT3 and pT2 cases, respectively. On multivariable analysis, logPSA (odds ratio [OR] 4.06, [95% CI 2.40-12.3], p &lt; 0.001) and iMRF (OR 1.78, [95% CI 1.01-3.16], p = 0.047) were significantly associated with PSM while nerve-sparing adjustment was significantly associated with decreased risk of PSM (OR 0.38 [95% CI 0.22-0.66], p = 0.001). Conclusions: MRI effectively detects risks for PSM and guides surgical adjustments to decrease PSM rates. As prostate MRI is more frequently acquired for PCa screening and biopsy, we show its additional value for RP planning and potentially improved outcomes.

Diagnostic Accuracy of a MR Protocol Acquired with and without Endorectal Coil for Detection of Prostate Cancer: A Multicenter Study

Introduction: The purpose of this study was to compare diagnostic accuracy of a prostate multiparametric magnetic resonance imaging (mpMRI) protocol for detection of prostate cancer between images acquired with and without en-dorectal coil (ERC). Materials: This study was approved by the regional ethics committee. Between 2014 and 2015, 33 patients (median age 51.3 years; range 42.1-77.3 years) who underwent prostate-MRI at 3T scanners at 2 different institutions, acquired with (mpMRI_ERC) and without (mpMRI_PPA) ERC and who received radical prostatectomy, were included in this retrospective study. Two expert readers (R1, R2) attributed a PI-RADS version 2 score for the most suspect (i. e. index) lesion for mpMRI_PPA and mpMRI_ERC. Sensitivity and positive predictive value for detection of index lesions were assessed using 2 × 2 contingency tables. Differences between groups were tested using the McNemar test. Whole-mount histopathology served as reference standard. Results: On a quadrant-basis cumulative sensitivity ranged between 0.61-0.67 and 0.76-0.88 for mpMRI_PPA and mpMRI_ERC protocols, respectively (p > 0.05). Cumulative positive predictive value ranged between 0.80-0.81 and 0.89-0.91 for mpMRI_PPA and mpMRI_ERC protocols, respectively. The differences were not statistically significant for R1 (p = 0.267) or R2 (p = 0.508). Conclusion: Our results suggest that there may be no significant differences for detection of prostate cancer between images acquired with and without an ERC.