Jan Philipp Radtke

Improved detection of anterior fibromuscular stroma and transition zone prostate cancer using biparametric and multiparametric MRI with MRI-targeted biopsy and MRI-US fusion guidance.

Background:The objective of this study was to analyze the potential of prostate magnetic resonance imaging (MRI) and MRI/transrectal ultrasound-fusion biopsies to detect and to characterize significant prostate cancer (sPC) in the anterior fibromuscular stroma (AFMS) and in the transition zone (TZ) of the prostate and to assess the accuracy of multiparametric MRI (mpMRI) and biparametric MRI (bpMRI) (T2w and diffusion-weighted imaging (DWI)).Methods:Seven hundred and fifty-five consecutive patients underwent prebiopsy 3 T mpMRI and transperineal biopsy between October 2012 and September 2014. MRI images were analyzed using PIRADS (Prostate Imaging-Reporting and Data System). All patients had systematic biopsies (SBs, median n=24) as reference test and targeted biopsies (TBs) with rigid software registration in case of MRI-suspicious lesions. Detection rates of SBs and TBs were assessed for all PC and sPC patients defined by Gleason score (GS)⩾3+4 and GS⩾4+3. For PC, which were not concordantly detected by TBs and SBs, prostatectomy specimens were assessed. We further compared bpMRI with mpMRI.Results:One hundred and ninety-one patients harbored 194 lesions in AFMS and TZ on mpMRI. Patient-based analysis detected no difference in the detection of all PC for SBs vs TBs in the overall cohort, but in the repeat-biopsy population TBs performed significantly better compared with SBs (P=0.004 for GS⩾3+4 and P=0.022 for GS⩾4+3, respectively). Nine GS⩾4+3 sPCs were overlooked by SBs, whereas TBs missed two sPC in men undergoing primary biopsy. The combination of SBs and TBs provided optimal local staging. Non-inferiority analysis showed no relevant difference of bpMRI to mpMRI in sPC detection.Conclusions:MRI-targeted biopsies detected significantly more anteriorly located sPC compared with SBs in the repeat-biopsy setting. The more cost-efficient bpMRI was statistically not inferior to mpMRI in sPC detection in TZ/AFMS.

Impact of Complete Bladder Neck Preservation on Urinary Continence, Quality of Life and Surgical Margins After Radical Prostatectomy: A Randomized, Controlled, Single Blind Trial

PURPOSE We investigated the influence of bladder neck preservation on urinary continence, quality of life and surgical margins after radical prostatectomy. MATERIALS AND METHODS A total of 208 men who presented for radical prostatectomy were randomized to complete bladder neck preservation with subsequent urethro-urethral anastomosis or to no preservation as controls. Patients with failed bladder neck preservation were not included in study. We documented objective continence by the 24-hour pad test, social continence by the number of pads per day and quality of life outcomes by the validated Incontinence Quality of Life questionnaire in a single blind setting. Cancer resection was assessed by surgical margin status. RESULTS At 0, 3, 6 and 12 months mean urine loss in the control vs the bladder neck preservation group was 713.3 vs 237.0, 49.6 vs 15.6, 44.4 vs 5.5 and 25.4 vs 3.1 gm, respectively (each p <0.001). At 3, 6 and 12 months in the control vs the preservation group the social continence rate was 55.3% vs 84.2% (p <0.001), 74.8% vs 89.5% (p = 0.05) and 81.4% vs 94.7% (p = 0.027), and the quality of life score was 80.4 vs 90.3 (p <0.001), 85.4 vs 91.7 (p = 0.016) and 86.0 vs 93.8 (p = 0.001), respectively. We noted significantly less urine loss, higher objective and social continence rates, and higher quality of life scores after complete bladder neck preservation at all followup points. On multiple logistic regression analysis complete bladder neck preservation was an independent positive predictor of continence. No significant difference was found in surgical margin status between the control and bladder neck preservation groups (12.5% vs 14.7%, p = 0.65). CONCLUSIONS In what is to our knowledge the first prospective, randomized, controlled, single blind trial complete bladder neck preservation during radical prostatectomy was associated with a significantly higher urinary continence rate and increased patient satisfaction without compromising resection margins.

Further reduction of disqualification rates by additional MRI-targeted biopsy with transperineal saturation biopsy compared with standard 12-core systematic biopsies for the selection of prostate cancer patients for active surveillance

Background:Active surveillance (AS) is commonly based on standard 10–12-core prostate biopsies, which misclassify ~50% of cases compared with radical prostatectomy. We assessed the value of multiparametric magnetic resonance imaging (mpMRI)-targeted transperineal fusion-biopsies in men under AS.Methods:In all, 149 low-risk prostate cancer (PC) patients were included in AS between 2010 and 2015. Forty-five patients were initially diagnosed by combined 24-core systematic transperineal saturation biopsy (SB) and MRI/transurethral ultrasound (TRUS)-fusion targeted lesion biopsy (TB). A total of 104 patients first underwent 12-core TRUS-biopsy. All patients were followed-up by combined SB and TB for restratification after 1 and 2 years. All mpMRI examinations were analyzed using PIRADS. AS was performed according to PRIAS-criteria and a NIH-nomogram for AS-disqualification was investigated. AS-disqualification rates for men initially diagnosed by standard or fusion biopsy were compared using Kaplan–Meier estimates and log-rank tests. Differences in detection rates of the SB and TB components were evaluated with a paired-sample analysis. Regression analyses were performed to predict AS-disqualification.Results:A total of, 48.1% of patients diagnosed by 12-core TRUS-biopsy were disqualified from AS based on the MRI/TRUS-fusion biopsy results. In the initial fusion-biopsy cohort, upgrading occurred significantly less frequently during 2-year follow-up (20%, P<0.001). TBs alone were significantly superior compared with SBs alone to detect Gleason-score-upgrading. NPV for Gleason-upgrading was 93.5% for PIRADS⩽2. PSA level, PSA density, NIH-nomogram, initial PIRADS score (P<0.001 each) and PIRADS-progression on consecutive MRI (P=0.007) were significant predictors of AS-disqualification.Conclusions:Standard TRUS-biopsies lead to significant underestimation of PC under AS. MRI/TRUS-fusion biopsies, and especially the TB component allow more reliable risk classification, leading to a significantly decreased chance of subsequent AS-disqualification. Cancer detection with mpMRI alone is not yet sensitive enough to omit SB on follow-up after initial 12-core TRUS-biopsy. After MRI/TRUS-fusion biopsy confirmed AS, it may be appropriate to biopsy only those men with suspected progression on MRI.

The Impact of Magnetic Resonance Imaging on Prediction of Extraprostatic Extension and Prostatectomy Outcome in Patients with Low-, Intermediate- and High-Risk Prostate Cancer: Try to Find a Standard

PURPOSE To investigate the value of multiparametric magnetic resonance imaging (mpMRI) and to predict extracapsular extension (ECE), seminal vesicle (SV) infiltration, and a negative surgical margin (SM) status at radical prostatectomy (RP) for different prostate cancer (PC) risk groups. PATIENTS AND METHODS In the study, 805 men underwent 3 tesla mpMRI without endorectal coil before MRI/transrectal ultrasonography-fusion guided prostate biopsy. MRIs were analyzed using the prostate imaging reporting and data system. The cohort was classified into risk groups according to National Comprehensive Cancer Network (NCCN) criteria. Of 132 men who subsequently underwent RP, pathologic stage and SM status at RP were used as reference. Retrospectively, we investigated a European Society of Urogenital Radiology (ESUR) score for ECE and SV-infiltration. Statistical analyses included regression analyses, receiver operating characteristics (ROC), and Youden Index to assess an ESUR-score cutoff. RESULTS Area under the curve in ROC curve analyses was 0.82 for ESUR-ECE score to detect pT(3a)-disease and 0.77 for ESUR-SV score for pT(3b). Using a cutoff of 4 for ECE and of 2 for SV, the positive predictive value of the ECE-score for harboring pT(3) was 50.0%, 90.0%, and 88.8% for the low-, intermediate- and high-risk cohort. Retrospectively, the use of the ESUR-ECE score preoperatively would have changed the initial surgical plan, according to NCCN criteria, in 31.1% of patients. In the high-risk subgroup, 9/35 (25.7%) patients were correctly assessed as not harboring pT(3) by imaging (ECE score <4), and would have allowed secure robot-assisted radical prostatectomy and nerve-sparing surgery (NSS). When T3 suspicion on preoperative MRI would be taken into account, intraoperative frozen-sections (IFS) might avoid positive SM in 12/18 high-risk patients and an oncologic secure NSS in 8/20 intermediate-risk patients. CONCLUSION Prediction of pT(3) disease is crucial to plan NSS and to achieve negative SM in RP. Standardized ECE scoring on mpMRI is an independent predictor of pT(3) and may help to plan RP with oncologic security, even in high-risk patients. In addition, it allows more accurate selection of a subgroup of patients for systematic and MRI-guided IFS.

Intraindividual comparison of18F-PSMA-1007 PET/CT, multiparametric MRI, and radical prostatectomy specimens in patients with primary prostate cancer: A retrospective, proof-of-concept study

68Ga-prostate-specific membrane antigen (PSMA)-11 PET/CT represents an advanced method for the staging of primary prostate cancer (PCa) and diagnosis of recurrent or metastatic PCa. However, because of the narrow availability of 68Ga the development of alternative tracers is of high interest. The objective of this study was to examine the value of the new PET tracer 18F-PSMA-1007 for the staging of local disease by comparing it with multiparametric MRI (mpMRI) and radical prostatectomy (RP) histopathology. Methods: In 2016, 18F-PSMA-1007 PET/CT was performed in 10 men with biopsy-confirmed high-risk PCa. Nine patients underwent mpMRI in the process of primary diagnosis. Consecutively, RP was performed in all 10 men. Agreement analysis was performed retrospectively. PSMA staining was added for representative sections in RP specimen slices. Localization and agreement analysis of 18F-PSMA-1007 PET/CT, mpMRI, and RP specimens was performed by dividing the prostate into 38 sections as described in the prostate imaging reporting and data system (PI-RADS) (version 2). Sensitivity, specificity, positive predictive values, negative predictive values (NPVs), and accuracy were calculated for total and near-total agreement. Results: 18F-PSMA-1007 PET/CT had an NPV of 68% and an accuracy of 75%, and mpMRI had an NPV of 88% and an accuracy of 73% for total agreement. Near-total agreement analysis resulted in an NPV of 91% and an accuracy of 93% for 18F-PSMA-1007 PET/CT and 91% and 87% for mpMRI, respectively. Retrospective combination of mpMRI and PET/CT had an accuracy of 81% for total and 93% for near-total agreement. Conclusion: Comparison with RP histopathology demonstrates that 18F-PSMA-1007 PET/CT is promising for accurate local staging of PCa.

The current and future role of magnetic resonance imaging in prostate cancer detection and management

Purpose Accurate detection of clinically significant prostate cancer (PC) and correct risk attribution are essential to individually counsel men with PC. Multiparametric MRI (mpMRI) facilitates correct localization of index lesions within the prostate and MRI-targeted prostate biopsy (TPB) helps to avoid the shortcomings of conventional biopsy such as false-negative results or underdiagnosis of aggressive PC. In this review we summarize the different sequences of mpMRI, characterize the possibilities of incorporating MRI in the biopsy workflow and outline the performance of targeted and systematic cores in significant cancer detection. Furthermore, we outline the potential of MRI in patients undergoing active surveillance (AS) and in the pre-operative setting. Materials and methods An electronic MEDLINE/PubMed search up to February 2015 was performed. English language articles were reviewed for inclusion ability and data were extracted, analyzed and summarized. Results Targeted biopsies significantly outperform conventional systematic biopsies in the detection of significant PC and are not inferior when compared to transperineal saturation biopsies. MpMRI can detect index lesions in app. 90% of cases as compared to prostatectomy specimen. The diagnostic performance of biparametric MRI (T2w + DWI) is not inferior to mpMRI, offering options to diminish cost- and time-consumption. Since app 10% of significant lesions are still MRI-invisible, systematic cores seem to be necessary. In-bore biopsy and MRI/TRUS-fusion-guided biopsy tend to be superior techniques compared to cognitive fusion. In AS, mpMRI avoids underdetection of significant PC and confirms low-risk disease accurately. In higher-risk disease, pre-surgical MRI can change the clinically-based surgical plan in up to a third of cases. Conclusions mpMRI and targeted biopsies are able to detect significant PC accurately and mitigate insignificant PC detection. As long as the negative predictive value (NPV) is still imperfect, systematic cores should not be omitted for optimal staging of disease. The potential to correctly classify aggressiveness of disease in AS patients and to guide and plan prostatectomy is evolving.

Prospective comparison of transperineal magnetic resonance imaging/ultrasonography fusion biopsy and transrectal systematic biopsy in biopsy-naïve patients

To evaluate the value of multiparametric magnetic resonance imaging (mpMRI) in the detection of significant prostate cancer (PCa) and to compare transperineal MRI/ultrasonography fusion biopsy (fusPbx) with conventional transrectal systematic biopsy (sysPbx) in biopsy‐naïve patients.

[Value of MRI/ultrasound fusion in primary biopsy for the diagnosis of prostate cancer].

BACKGROUND Multiparametric magnetic resonance imaging (mpMRI) plays an emerging role in prostate cancer diagnosis. We compared the cancer detection rates of targeted biopsy (tB) of suspicious lesions in mpMRI versus systematic transperineal saturation biopsy (sB) in men with primary suspicion of prostate cancer (PCa). METHODS A total of 437 consecutive primary biopsy patients, who underwent transperineal systematic and fusion-guided biopsy between 2012 and 2014, were enrolled. mpMRI was evaluated based on PI-RADS. Analysis of biopsy specimen was performed following START criteria. RESULTS Of the 437 men, 334 harbored 426 MR lesions. Overall, 274 PCa and 203 significant PCa (Gleason score (GS) ≥ 3 + 4, GS = 3 + 3 and PSA values ≥ 10 ng/ml) were detected. There were 52 (26 %) significant PCa exclusively found by sB, whereas only 18 (9 %) were identified by tB (p < 0.001). Of 80 high-grade PCa with GS ≥ 4 + 3, 70 were diagnosed by sB, and 60 by tB (p = 0.007). In addition, 54 % of all insignificant PCa (GS < 7, PSA < 10 ng/ml) were detected by sB alone (p < 0.001). AUC of mpMRI was 0.76-0.78. CONCLUSION The combination of tB + sB detects PCa most accurately. Ongoing prospective (multicenter) studies are evaluating the status of the 12 core TRUS-guided random biopsy.

Stellenwert der MRT/TRUS-Fusionsbiopsie im Rahmen der Primärbiopsie beim Prostatakarzinom

BACKGROUND Multiparametric magnetic resonance imaging (mpMRI) plays an emerging role in prostate cancer diagnosis. We compared the cancer detection rates of targeted biopsy (tB) of suspicious lesions in mpMRI versus systematic transperineal saturation biopsy (sB) in men with primary suspicion of prostate cancer (PCa). METHODS A total of 437 consecutive primary biopsy patients, who underwent transperineal systematic and fusion-guided biopsy between 2012 and 2014, were enrolled. mpMRI was evaluated based on PI-RADS. Analysis of biopsy specimen was performed following START criteria. RESULTS Of the 437 men, 334 harbored 426 MR lesions. Overall, 274 PCa and 203 significant PCa (Gleason score (GS) ≥ 3 + 4, GS = 3 + 3 and PSA values ≥ 10 ng/ml) were detected. There were 52 (26 %) significant PCa exclusively found by sB, whereas only 18 (9 %) were identified by tB (p < 0.001). Of 80 high-grade PCa with GS ≥ 4 + 3, 70 were diagnosed by sB, and 60 by tB (p = 0.007). In addition, 54 % of all insignificant PCa (GS < 7, PSA < 10 ng/ml) were detected by sB alone (p < 0.001). AUC of mpMRI was 0.76-0.78. CONCLUSION The combination of tB + sB detects PCa most accurately. Ongoing prospective (multicenter) studies are evaluating the status of the 12 core TRUS-guided random biopsy.

Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values

Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of prostate lesions detected during prospective MRI interpretation. Materials and Methods This single-institution study included 316 men (mean age ± standard deviation, 64.0 years ± 7.8) with an indication for MRI-transrectal US fusion biopsy between May 2015 and September 2016 (training cohort, 183 patients; test cohort, 133 patients). Lesions identified by prospective clinical readings were manually segmented for mean ADC and radiomics analysis. Global and zone-specific random forest RML and mean ADC models for classification of clinically significant prostate cancer (Gleason grade group ≥ 2) were developed on the training set and the fixed models tested on an independent test set. Clinical readings, mean ADC, and radiomics were compared by using the McNemar test and receiver operating characteristic (ROC) analysis. Results In the test set, radiologist interpretation had a per-lesion sensitivity of 88% (53 of 60) and specificity of 50% (79 of 159). Quantitative measurement of the mean ADC (cut-off 732 mm2/sec) significantly reduced false-positive (FP) lesions from 80 to 60 (specificity 62% [99 of 159]) and false-negative (FN) lesions from seven to six (sensitivity 90% [54 of 60]) (P = .048). Radiologist interpretation had a per-patient sensitivity of 89% (40 of 45) and specificity of 43% (38 of 88). Quantitative measurement of the mean ADC reduced the number of patients with FP lesions from 50 to 43 (specificity 51% [45 of 88]) and the number of patients with FN lesions from five to three (sensitivity 93% [42 of 45]) (P = .496). Comparison of the area under the ROC curve (AUC) for the mean ADC (AUCglobal = 0.84; AUCzone-specific ≤ 0.87) vs the RML (AUCglobal = 0.88, P = .176; AUCzone-specific ≤ 0.89, P ≥ .493) showed no significantly different performance. Conclusion Quantitative measurement of the mean apparent diffusion coefficient (ADC) improved differentiation of benign versus malignant prostate lesions, compared with clinical assessment. Radiomic machine learning had comparable but not better performance than mean ADC assessment.