Performance of a Region of Interest-based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database-CAD-FIRST Study

BACKGROUND AND OBJECTIVE

Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≥2 prostate cancer on multiparametric MRI.

METHODS

The lesions targeted at biopsy in the MRI-FIRST dataset were retrospectively delineated and assessed using a previously developed algorithm. The Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) score assigned prospectively before biopsy and the algorithm score calculated retrospectively in the regions of interest were compared for diagnosing GG ≥2 cancer, using the areas under the curve (AUCs), and sensitivities and specificities calculated with predefined thresholds (PIRADSv2 scores ≥3 and ≥4; algorithm scores yielding 90% sensitivity in the training database). Ten predefined biopsy strategies were assessed retrospectively.

KEY FINDINGS AND LIMITATIONS

After excluding 19 patients, we analysed 232 patients imaged on 16 different scanners; 85 had GG ≥2 cancer at biopsy. At patient level, AUCs of the algorithm and PI-RADSv2 were 77% (95% confidence interval [CI]: 70-82) and 80% (CI: 74-85; p = 0.36), respectively. The algorithm's sensitivity and specificity were 86% (CI: 76-93) and 65% (CI: 54-73), respectively. PI-RADSv2 sensitivities and specificities were 95% (CI: 89-100) and 38% (CI: 26-47), and 89% (CI: 79-96) and 47% (CI: 35-57) for thresholds of ≥3 and ≥4, respectively. Using the PI-RADSv2 score to trigger a biopsy would have avoided 26-34% of biopsies while missing 5-11% of GG ≥2 cancers. Combining prostate-specific antigen density, the PI-RADSv2 and algorithm's scores would have avoided 44-47% of biopsies while missing 6-9% of GG ≥2 cancers. Limitations include the retrospective nature of the study and a lack of PI-RADS version 2.1 assessment.

CONCLUSIONS AND CLINICAL IMPLICATIONS

The algorithm provided robust results in the multicentre multiscanner MRI-FIRST database and could help select patients for biopsy.

PATIENT SUMMARY

An artificial intelligence-based algorithm aimed at diagnosing aggressive cancers on prostate magnetic resonance imaging showed results similar to expert human assessment in a prospectively acquired multicentre test database.

Zone-specific computer-aided diagnosis system aimed at characterizing ISUP ≥ 2 prostate cancers on multiparametric magnetic resonance images: evaluation in a cohort of patients on active surveillance

PURPOSE

To assess a region-of-interest-based computer-assisted diagnosis system (CAD) in characterizing aggressive prostate cancer on magnetic resonance imaging (MRI) from patients under active surveillance (AS).

METHODS

A prospective biopsy database was retrospectively searched for patients under AS who underwent MRI and subsequent biopsy at our institution. MRI lesions targeted at baseline biopsy were retrospectively delineated to calculate the CAD score that was compared to the Prostate Imaging-Reporting and Data System (PI-RADS) version 2 score assigned at baseline biopsy.

RESULTS

186 patients were selected. At baseline biopsy, 51 and 15 patients had International Society of Urological Pathology (ISUP) grade ≥ 2 and ≥ 3 cancer respectively. The CAD score had significantly higher specificity for ISUP ≥ 2 cancers (60% [95% confidence interval (CI): 51-68]) than the PI-RADS score (≥ 3 dichotomization: 24% [CI: 17-33], p = 0.0003; ≥ 4 dichotomization: 32% [CI: 24-40], p = 0.0003). It had significantly lower sensitivity than the PI-RADS ≥ 3 dichotomization (85% [CI: 74-92] versus 98% [CI: 91-100], p = 0.015) but not than the PI-RADS ≥ 4 dichotomization (94% [CI:85-98], p = 0.104). Combining CAD findings and PSA density could have avoided 47/184 (26%) baseline biopsies, while missing 3/51 (6%) ISUP 2 and no ISUP ≥ 3 cancers. Patients with baseline negative CAD findings and PSAd < 0.15 ng/mL2 who stayed on AS after baseline biopsy had a 9% (4/44) risk of being diagnosed with ISUP ≥ 2 cancer during a median follow-up of 41 months, as opposed to 24% (18/74) for the others.

CONCLUSION

The CAD could help define AS patients with low risk of aggressive cancer at baseline assessment and during subsequent follow-up.

Prognostic value of programmed death ligand-1 and programmed death-1 expression in patients with upper tract urothelial carcinoma

OBJECTIVE

To evaluate the prognostic value of programmed death ligand-1 (PD-L1) and programmed death-1 (PD-1) expression in patients with upper tract urothelial carcinoma (UTUC).

PATIENTS AND METHODS

A retrospective multicentre study was conducted in 283 patients with UTUC treated with radical nephroureterectomy (RNU) between 2000 and 2015 at 10 French hospitals. Immunohistochemistry analyses were performed using 2 mm-core tissue microarrays with NAT105® and 28.8® antibodies at a 5% cut-off for positivity on tumour cells and tumour-infiltrating lymphocytes to evaluate PD-L1 and PD-1 expression, respectively. Multivariable Cox regression models were used to determine the independent predictors of recurrence-free (RFS), cancer-specific (CSS) and overall survival (OS).

RESULTS

Overall, 63 (22.3%) and 220 (77.7%) patients with UTUC had PD-L1-positive and -negative disease, respectively, while 91 (32.2%) and 192 (67.8%) had PD-1-positive and -negative disease, respectively. Patients who expressed PD-L1 or PD-1 were more likely to have pathological tumour stage ≥pT2 (68.3% vs 49.5%, P = 0.009; and 69.2% vs 46.4%, P < 0.001, respectively) and high-grade (90.5% vs 70.0%, P = 0.001; and 91.2% vs 66.7%, P < 0.001, respectively) disease with lymphovascular invasion (52.4% vs 17.3%, P < 0.001; and 39.6% vs 18.2%, P < 0.001, respectively) as compared to those who did not. In multivariable Cox regression analysis adjusting for each other, PD-L1 and PD-1 expression were significantly associated with decreased RFS (hazard ratio [HR] 1.83, 95% confidence interval [CI] 1.09-3.08, P = 0.023; and HR 1.59, 95% CI 1.01-2.54, P = 0.049; respectively), CSS (HR 2.73, 95% CI 1.48-5.04, P = 0.001; and HR 1.96, 95% CI 1.12-3.45, P = 0.019; respectively) and OS (HR 2.08, 95% CI 1.23-3.53, P = 0.006; and HR 1.71, 95% CI 1.05-2.78, P = 0.031; respectively). In addition, multivariable Cox regression analyses evaluating the four-tier combination of PD-L1 and PD-1 expression showed that only PD-L1/PD-1-positive patients (n = 38 [13.4%]) had significantly decreased RFS (HR 3.07, 95% CI 1.70-5.52; P < 0.001), CSS (HR 5.23, 95% CI 2.62-10.43; P < 0.001) and OS (HR 3.82, 95% CI 2.13-6.85; P < 0.001) as compared to those with PD-L1/PD-1-negative disease (n = 167 [59.0%]).

CONCLUSIONS

We observed that PD-L1 and PD-1 expression were both associated with adverse pathological features that translated into an independent and cumulative adverse prognostic value in UTUC patients treated with RNU.

Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader

PURPOSE

The purpose of this study was to develop and test across various scanners a zone-specific region-of-interest (ROI)-based computer-aided diagnosis system (CAD) aimed at characterizing, on MRI, International Society of Urological Pathology (ISUP) grade≥2 prostate cancers.

MATERIALS AND METHODS

ROI-based quantitative models were selected in multi-vendor training (265 pre-prostatectomy MRIs) and pre-test (112 pre-biopsy MRIs) datasets. The best peripheral and transition zone models were combined and retrospectively assessed in internal (158 pre-biopsy MRIs) and external (104 pre-biopsy MRIs) test datasets. Two radiologists (R1/R2) retrospectively delineated the lesions targeted at biopsy in test datasets. The CAD area under the receiver operating characteristic curve (AUC) for characterizing ISUP≥2 cancers was compared to that of the Prostate Imaging-Reporting and Data System version2 (PI-RADSv2) score prospectively assigned to targeted lesions.

RESULTS

The best models used the 25th apparent diffusion coefficient (ADC) percentile in transition zone and the 2nd ADC percentile and normalized wash-in rate in peripheral zone. The PI-RADSv2 AUCs were 82% (95% confidence interval [CI]: 74-87) and 86% (95% CI: 81-91) in the internal and external test datasets respectively. They were not different from the CAD AUCs obtained with R1 and R2 delineations, in the internal (82% [95% CI: 76-89], P = 0.95 and 85% [95% CI: 78-91], P = 0.55) and external (82% [95% CI: 74-91], P = 0.41 and 86% [95% CI:78-95], P = 0.98) test datasets. The CAD yielded sensitivities of 86-89% and 90-91%, and specificities of 64-65% and 69-75% in the internal and external test datasets respectively.

CONCLUSION

The CAD performance for characterizing ISUP grade≥2 prostate cancers on MRI is not different from that of PI-RADSv2 score across two test datasets.

Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study)

OBJECTIVE

To assess PI-RADSv2.1 and PI-RADSv2 descriptors across readers with varying experience.

METHODS

Twenty-one radiologists (7 experienced (≥ 5 years) seniors, 7 less experienced seniors and 7 juniors) assessed 240 'predefined' lesions from 159 pre-biopsy multiparametric prostate MRIs. They specified their location (peripheral, transition or central zone) and size, and scored them using PI-RADSv2.1 and PI-RADSv2 descriptors. They also described and scored 'additional' lesions if needed. Per-lesion analysis assessed the 'predefined' lesions, using targeted biopsy as reference; per-lobe analysis included 'predefined' and 'additional' lesions, using combined systematic and targeted biopsy as reference. Areas under the curve (AUCs) quantified the performance in diagnosing clinically significant cancer (csPCa; ISUP ≥ 2 cancer). Kappa coefficients (κ) or concordance correlation coefficients (CCC) assessed inter-reader agreement.

RESULTS

At per-lesion analysis, inter-reader agreement on location and size was moderate-to-good (κ = 0.60-0.73) and excellent (CCC ≥ 0.80), respectively. Agreement on PI-RADSv2.1 scoring was moderate (κ = 0.43-0.47) for seniors and fair (κ = 0.39) for juniors. Using PI-RADSv2.1, juniors obtained a significantly lower AUC (0.74; 95% confidence interval [95%CI]: 0.70-0.79) than experienced seniors (0.80; 95%CI 0.76-0.84; p = 0.008) but not than less experienced seniors (0.74; 95%CI 0.70-0.78; p = 0.75). As compared to PI-RADSv2, PI-RADSv2.1 downgraded 17 lesions/reader (interquartile range [IQR]: 6-29), of which 2 (IQR: 1-3) were csPCa; it upgraded 4 lesions/reader (IQR: 2-7), of which 1 (IQR: 0-2) was csPCa. Per-lobe analysis, which included 60 (IQR: 25-73) 'additional' lesions/reader, yielded similar results.

CONCLUSIONS

Experience significantly impacted lesion characterization using PI-RADSv2.1 descriptors. As compared to PI-RADSv2, PI-RADSv2.1 tended to downgrade non-csPCa lesions, but this effect was small and variable across readers.

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? – A systematic review

PURPOSE

The purpose of this study was to perform a systematic review of the literature on the diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based algorithms aimed at characterizing/detecting prostate cancer on magnetic resonance imaging (MRI).

MATERIALS AND METHODS

Medline, Embase and Web of Science were searched for studies published between January 2018 and September 2022, using a histological reference standard, and assessing prostate cancer characterization/detection by AI-based MRI algorithms in test cohorts composed of more than 40 patients and with at least one of the following independency criteria as compared to the training cohort: different institution, different population type, different MRI vendor, different magnetic field strength or strict temporal splitting.

RESULTS

Thirty-five studies were selected. The overall risk of bias was low. However, 23 studies did not use predefined diagnostic thresholds, which may have optimistically biased the results. Test cohorts fulfilled one to three of the five independency criteria. The diagnostic performance of the algorithms used as standalones was good, challenging that of human reading. In the 12 studies with predefined diagnostic thresholds, radiomics-based computer-aided diagnosis systems (assessing regions-of-interest drawn by the radiologist) tended to provide more robust results than deep learning-based computer-aided detection systems (providing probability maps). Two of the six studies comparing unassisted and assisted reading showed significant improvement due to the algorithm, mostly by reducing false positive findings.

CONCLUSION

Prostate MRI AI-based algorithms showed promising results, especially for the relatively simple task of characterizing predefined lesions. The best management of discrepancies between human reading and algorithm findings still needs to be defined.

Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study)

INTRODUCTION

Prostate multiparametric MRI (mpMRI) has shown good sensitivity in detecting cancers with an International Society of Urological Pathology (ISUP) grade of ≥2. However, it lacks specificity, and its inter-reader reproducibility remains moderate. Biomarkers, such as the Prostate Health Index (PHI), may help select patients for prostate biopsy. Computer-aided diagnosis/detection (CAD) systems may also improve mpMRI interpretation. Different prototypes of CAD systems are currently developed under the Recherche Hospitalo-Universitaire en Santé / Personalized Focused Ultrasound Surgery of Localized Prostate Cancer (RHU PERFUSE) research programme, tackling challenging issues such as robustness across imaging protocols and magnetic resonance (MR) vendors, and ability to characterise cancer aggressiveness. The study primary objective is to evaluate the non-inferiority of the area under the receiver operating characteristic curve of the final CAD system as compared with the Prostate Imaging-Reporting and Data System V.2.1 (PI-RADS V.2.1) in predicting the presence of ISUP ≥2 prostate cancer in patients undergoing prostate biopsy.

METHODS

This prospective, multicentre, non-inferiority trial will include 420 men with suspected prostate cancer, a prostate-specific antigen level of ≤30 ng/mL and a clinical stage ≤T2 c. Included men will undergo prostate mpMRI that will be interpreted using the PI-RADS V.2.1 score. Then, they will undergo systematic and targeted biopsy. PHI will be assessed before biopsy. At the end of patient inclusion, MR images will be assessed by the final version of the CAD system developed under the RHU PERFUSE programme. Key secondary outcomes include the prediction of ISUP grade ≥2 prostate cancer during a 3-year follow-up, and the number of biopsy procedures saved and ISUP grade ≥2 cancers missed by several diagnostic pathways combining PHI and MRI findings.

ETHICS AND DISSEMINATION

Ethical approval was obtained from the Comité de Protection des Personnes Nord Ouest III (ID-RCB: 2020-A02785-34). After publication of the results, access to MR images will be possible for testing other CAD systems.

TRIAL REGISTRATION NUMBER

NCT04732156.

Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation

OBJECTIVE

To train and to test for prostate zonal segmentation an existing algorithm already trained for whole-gland segmentation.

METHODS

The algorithm, combining model-based and deep learning-based approaches, was trained for zonal segmentation using the NCI-ISBI-2013 dataset and 70 T2-weighted datasets acquired at an academic centre. Test datasets were randomly selected among examinations performed at this centre on one of two scanners (General Electric, 1.5 T; Philips, 3 T) not used for training. Automated segmentations were corrected by two independent radiologists. When segmentation was initiated outside the prostate, images were cropped and segmentation repeated. Factors influencing the algorithm's mean Dice similarity coefficient (DSC) and its precision were assessed using beta regression.

RESULTS

Eighty-two test datasets were selected; one was excluded. In 13/81 datasets, segmentation started outside the prostate, but zonal segmentation was possible after image cropping. Depending on the radiologist chosen as reference, algorithm's median DSCs were 96.4/97.4%, 91.8/93.0% and 79.9/89.6% for whole-gland, central gland and anterior fibromuscular stroma (AFMS) segmentations, respectively. DSCs comparing radiologists' delineations were 95.8%, 93.6% and 81.7%, respectively. For all segmentation tasks, the scanner used for imaging significantly influenced the mean DSC and its precision, and the mean DSC was significantly lower in cases with initial segmentation outside the prostate. For central gland segmentation, the mean DSC was also significantly lower in larger prostates. The radiologist chosen as reference had no significant impact, except for AFMS segmentation.

CONCLUSIONS

The algorithm performance fell within the range of inter-reader variability but remained significantly impacted by the scanner used for imaging.

KEY POINTS

• Median Dice similarity coefficients obtained by the algorithm fell within human inter-reader variability for the three segmentation tasks (whole gland, central gland, anterior fibromuscular stroma). • The scanner used for imaging significantly impacted the performance of the automated segmentation for the three segmentation tasks. • The performance of the automated segmentation of the anterior fibromuscular stroma was highly variable across patients and showed also high variability across the two radiologists.

Her2 Expression in Circulating Tumor Cells Is Associated with Poor Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer

HER2-dependent signaling may support the development of metastatic castration-resistant prostate cancer (mCRPC) by activating androgen receptor signaling through ligand-independent mechanisms. From 41 mCRPC patients (including 31 treated with Androgen Receptor Signaling Inhibitors [ARSI]), Circulating Tumor Cells (CTCs) were prospectively enriched with AdnaTest platform and analyzed with a multiplexed assay for HER2 and AR-V7 mRNA expression. Then, we evaluated the impact of HER2 expression on PSA-response, Progression Free Survival (PFS) and Overall Survival (OS). HER2 expression was detected in CTCs of 26 patients (63%). Although PSA response was similar regardless of HER2 status, patients with HER2 positive CTCs had shorter PSA-PFS (median: 6.2 months versus 13.0 months, p = 0.034) and radiological-PFS (6.8 months versus 25.6 months, p = 0.022) than patients without HER2 expression. HER2 expression was also associated with a shorter OS (22.7 months versus not reached, p = 0.05). In patients treated with ARSI, multivariate analyses revealed that the prognostic impact of HER2 status on PSA-PFS was independent of AR-V7 expression and of the detection of CTCs by an AdnaTest. We showed for the first time the poor prognostic value of HER2 expression in CTCs from patients with mCRPC. The therapeutic interest of targeting this actionable pathway remains to be explored.

Rectourethral Fistula Induced by Localised Prostate Cancer Treatment: Surgical and Functional Outcomes of Transperineal Repair with Gracilis Muscle Flap Interposition

BACKGROUND

Transperineal repair of rectourethral fistula (RUF) following prostate cancer treatment with gracilis muscle flap interposition (GMFI) leads to favourable outcomes, but published data are still lacking, notably concerning functional aspects.

OBJECTIVE

To assess surgical and functional outcomes of this treatment of RUF.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective study was conducted in two referral hospitals including 21 patients who underwent RUF transperineal repair with GMFI between 2008 and 2020.

SURGICAL PROCEDURE

The standard vertical perineal approach is performed for fistula dissection. Bladder and rectal defects are closed separately. After dissection from its facia, the flap is harvested, preserving its pedicle; it is brought to the perineum and placed between the urethra and the rectum to fully cover the sutures.

MEASUREMENTS

Fistula closure (clinical data and postoperative cystography), digestive stoma closure, and complications graded according to the Clavien-Dindo classification were reviewed. Functional results were assessed using the Urinary Symptom Profile (USP) questionnaire, anal incontinence St Mark's score, Patient Observer Scar Assessment Scale (POSAS) score, and a nonvalidated Likert scale questionnaire assessing issues with lower extremity functionality.

RESULTS AND LIMITATIONS

The median (interquartile range) follow-up was 27 (8-47) mo. Fistula closure was successful for 20 patients (95% success). Digestive stoma was closed in 10/12 shunted patients (83%). Two (9%) Clavien-Dindo grade ≥3b complications were reported (one urinoma in a kidney transplant patient and one thigh haematoma evacuation). Eighteen patients (86%) completed the postoperative questionnaire; 11/18 (61%) had significant urinary incontinence. The mean (standard deviation) USP dysuria score was 1/9 (1.2), mean St Mark's score was 5/24 (5), mean POSAS score was 19/70 (11), mean lower extremity functionality score was 2/20 (4), and mean procedure patient satisfaction score was 9/10 (2). The retrospective design and limited number of patients are the main limitations.

CONCLUSIONS

The present study found an excellent success rate and low morbidity for RUF transperineal repair with GMFI. Functional outcomes were satisfactory despite a high urinary incontinence rate.

PATIENT SUMMARY

We performed an analysis of the outcomes of perineal approach surgery with muscle interposition for closing abnormal communication between the bladder and the rectum after prostate cancer treatment. This surgical technique was found to be safe to perform and provides a high success rate, with patients being satisfied despite poor urinary continence outcomes. TAKE HOME  MESSAGE: Transperineal repair of rectourethral fistula with gracilis muscle flap interposition is a safe surgery with a high success rate. Urinary continence is a serious issue, but patients may be reassured as to the impact on digestive continence, lower extremity functionality, and scar aesthetics.

One-year Functional Outcomes after Holmium Laser Enucleation of the Prostate (HoLEP): Introduction of a Composite Score (Hexafecta)

OBJECTIVE

To compare the efficiency (micturition symptoms, continence, erection) and safety of Holmium Laser Enucleation of the Prostate (HoLEP) with a single composite score (the Hexafecta score) one year postprocedure.

PATIENTS AND METHODS

We conducted a single-center retrospective study including all patients who had undergone HoLEP for the treatment of benign prostate hyperplasia (BPH) between May 2013 and August 2017. Data were obtained preoperatively and at the 6- and 12-month visits. We also reported all 90-day complications. The Hexafecta score included 6 criteria: peak urine flow of at least 15ml/s, 30% reduction in International Prostate Symptoms Score (IPSS) score, quality of life via the IPSS less than 2, no incontinence (International Consultation Incontinence Questionnaire), no significant change in erectile function (International Index of Erectile Function), and no grade III or more complications according to the Clavien-Dindo classification.

RESULTS

Two hundred thirty-five patients were included, of whom 197 (83.8%) completed the 12-month visit. Complete data were available to assess the Hexafecta score for 178 of them (75.7%). Most of the missing data were for uroflowmetry and the erectile function assessment. Hundred three patients (58%) met all 6 criteria, while 45 (25%) met 5 of them. None were retreated for BPH in the follow-up period. The de novo incontinence rate was 4.1%.

CONCLUSION

The Hexafecta score is a simple, transversal method for comprehensively evaluating functional outcomes after HoLEP surgery. Such an evaluation could be used to compare other types of procedures for BPH treatment.

LEVEL OF EVIDENCE

3.

Candidates to salvage therapy after external-beam radiotherapy of prostate cancer: Predictors of local recurrence volume and metastasis-free survival

PURPOSE

The purpose of this study was to assess the predictors of metastasis-free survival (MFS) and of the volume of the local recurrence in patients with rising prostate-specific antigen (PSA) serum level after radiotherapy for prostate cancer and referred for prostate magnetic resonance imaging (MRI) and biopsy in view of salvage treatment.

MATERIALS AND METHODS

A total of 132 consecutive men (median age, 70 years; IQR, 66-77 years) with rising PSA after prostate radiotherapy who underwent prostate MRI and biopsy in view of salvage treatment between January 2010 and July 2017 were retrospectively evaluated at a single center. MFS predictors were assessed with Cox models. Predictors of the volume of the local recurrence (number of invaded prostate sectors at biopsy) were assessed using Poisson regression among variables available at PSA relapse.

RESULTS

At multivariate analysis, an initial Gleason score≥8 (OR=7 [95% confidence interval (CI): 1.2-40]; P=0.03), a recent radiotherapy (OR=17 [95% CI: 3.9-72]; P<0.0001), the use of androgen deprivation therapy at PSA relapse (OR=12.5 [95% CI: 2.8-57]; P=0.001) and the number of invaded prostate sectors (OR=1.5 [95% CI: 1.1-2]; P=0.007) and maximum cancer core length (OR=0.7 [95%CI: 0.6-0.9]; P=0.002) at biopsy performed at PSA relapse were significant MFS predictors. The PSA level at relapse was significant independent predictor of the volume of local recurrence only when used as a continuous variable (P=0.0002) but not when dichotomized using the nadir+2 threshold (P=0.41).

CONCLUSION

Pathological and clinical factors can help predict MFS in patients with rising PSA after prostate radiotherapy and candidates to salvage treatment. The PSA level at relapse has strong influence on the local recurrence volume when used as a continuous variable.

Salvage high-intensity focused ultrasound for locally recurrent prostate cancer after low-dose-rate brachytherapy: oncological and functional outcomes

OBJECTIVES

To evaluate the oncological and functional outcomes of salvage high-intensity focused ultrasound (S-HIFU) for locally recurrent prostate cancer after low-dose-rate (LDR) brachytherapy.

PATIENTS AND METHODS

Clinical phase II studies (2003-2015) included 50 consecutive patients with post-brachytherapy local recurrence treated by S-HIFU. S-HIFU was performed with post-external beam radiotherapy (EBRT) parameters and, since 2008, with specific post-brachytherapy parameters. Treatments were whole-gland ablation and, since 2009, hemi-ablation in cases of unilateral prostate cancer. The primary objective was to assess oncological outcomes: treatment failure-free survival, progression-free survival (PFS), overall survival (OS), cancer-specific survival (CSS), and metastasis-free survival (MFS) rates. The secondary objective was to evaluate adverse events, continence, and erectile function. Kaplan-Meier analysis estimated oncological outcomes.

RESULTS

In all, 13 patients were treated with post-EBRT parameters, 37 with post-brachytherapy parameters, 35 with whole-gland treatment, and 15 with hemi-ablation. The median follow-up was 4.6 years. After S-HIFU, the median prostate-specific antigen level was 0.3 ng/mL. At 6 years, treatment failure-free survival, PFS, OS, CSS, and MFS rates were 41%, 45%, 93%, 98%, and 80%, respectively. Post-brachytherapy compared with post-EBRT parameters reduced Grade 2-3 incontinence (34% vs 62%, P = 0.015). Incontinence, bladder outlet obstruction and Grade ≥III complications were significantly reduced with hemi-ablation compared with whole-gland treatment (14% vs 54%, P < 0.001; 13% vs 46%, P = 0.03; 13% vs 63%, P = 0.001; respectively). Before S-HIFU, 25 patients had a five-item version of the International Index of Erectile Function score of ≥17, which was maintained in 48% at 12 months.

CONCLUSION

S-HIFU for locally recurrent prostate cancer after LDR brachytherapy is associated with favourable survival rates at a price of significant morbidity. Dedicated post-brachytherapy parameters and hemi-ablation improve the safety of the treatment.

[Evolution of the number of incident cases, stage and first treatments for prostate cancer in France between 2001 and 2016]

INTRODUCTION

No studies of French hospital registries for prostate cancer (PCa) have been published since the 2012 USPSTF recommendations.

MATERIAL

This is a multicenter cohort study based on hospital data of prostate biopsies (PB) in 3 health centers between 2001 and 2016. The main objective is to describe the evolution of incident cases of PCa. The secondary objectives are to describe the number of cases per stage of PCa and the distribution of the first treatments.

RESULTS

In total, 11,491 PB series diagnosed 5927 cases of PCa. The median age was 67 [61-73] years and the median PSA was 7.8 [5.5-13] ng/mL. The number of cases increased until 2006 before decreasing from 2006 to 2013 and then stabilizing from 2013 to 2016. The proportion of incident cases was: (1) for the stable metastatic stage around 8 [7-10]%, (2) for cases with PSA<10 ng/mL increasing from 46% to 75% in 2010 down to 64% in 2016, (3) for the grade 1 group decreasing from 59% to 33 % between 2011 and 2016. The proportion of active surveillance treatment for low-risk cancers increased from 5 to 60% and surgery decreased from 73 to 33%.

CONCLUSION

The evolution of the incident cases showed a decrease from 2006 to 2013 and a stability until 2016. The number of cases with PSA<10 ng/mL decreased since 2010 and the proportion of the options of treatment by surveillance increased strongly to the detriment of the surgery for low risks.

LEVEL OF EVIDENCE

3.

[Focal HIFU vs robot-assisted total prostatectomy: Functionnal and oncologic outcomes at one year]

OBJECTIVE

To analyse the functional and oncologic outcomes at one year of focal therapy with HIFU compared with total prostatectomy in patients with localised prostate cancer (PCa).

PATIENTS AND METHODS

Retrospective and monocentric study from 2008 to 2014 comparing 2 cohorts of patients with localised PCa (T1/T2 clinical stage, Gleason score≤3+4=7 and PSA<15ng/mL), one treated by focal therapy (HIFU-F group), one by robot-assisted total prostatectomy (RATP group). Primary outcome was a trifecta defined as: absence of urinary incontinence, erectile function with sexual relations without treatment, negative PSA with negative surgical margins (RATP group) or negative biopsy cores (HIFU-F group).

RESULTS

The 53 patients included in the "HIFU-F" group and the 66 patients in the "RATP" group were similar in terms of preoperative PSA, D'Amico risk group, erectile function but were different in terms of age, prostatic volume, length of cancer, Gleason score. Complication rate was not different. In multivariate analyse with propensity score, "HIFU-F" group achieved a better trifecta score than "RATP" group (OR=8,3, p=0,005).

CONCLUSION

In case of low or intermediate risk localised PCa, "HIFU-F" group had better functional outcomes than initial learning curse "RATP" group, at one year. A long-term evaluation by a common endpoint is necessary to judge the oncological equivalence of both techniques.

LEVEL OF EVIDENCE

3.

Ablation energies for focal treatment of prostate cancer

Context

In recent years, focal therapy has emerged as a treatment option for a selected group of men with localized prostate cancer. Cryotherapy and high-intensity focused ultrasound (HIFU) are the most investigated types of focal treatment with other options currently under evaluation.

Objective

The objective of the study was to give a comprehensive overview of six available focal treatment options for prostate cancer with their rationale, delivery mechanism, and outcomes.

Information acquisition

The SIU ICUD chapter on available Energies to Treat Prostate Cancer was used as a guide to describe the different technologies. For outcomes, a literature search was conducted using PubMed key words including focal therapy, HIFU, cryotherapy, irreversible electroporation, vascular-targeted photodynamic therapy, laser interstitial therapy, radiofrequency ablation, microwave therapy, and their synonyms in MeSH terms.

Conclusion

Focal therapy appears to have encouraging outcomes on quality of life and urinary and erectile function. For oncological outcomes, it is challenging to fully interpret the outcomes due to heterogeneity in patient selection and short-term follow-up.

Electronic supplementary material

The online version of this article (10.1007/s00345-018-2364-x) contains supplementary material, which is available to authorized users.

MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis

BACKGROUND

Multiparametric magnetic resonance imaging (MRI), with or without targeted biopsy, is an alternative to standard transrectal ultrasonography-guided biopsy for prostate-cancer detection in men with a raised prostate-specific antigen level who have not undergone biopsy. However, comparative evidence is limited.

METHODS

In a multicenter, randomized, noninferiority trial, we assigned men with a clinical suspicion of prostate cancer who had not undergone biopsy previously to undergo MRI, with or without targeted biopsy, or standard transrectal ultrasonography-guided biopsy. Men in the MRI-targeted biopsy group underwent a targeted biopsy (without standard biopsy cores) if the MRI was suggestive of prostate cancer; men whose MRI results were not suggestive of prostate cancer were not offered biopsy. Standard biopsy was a 10-to-12-core, transrectal ultrasonography-guided biopsy. The primary outcome was the proportion of men who received a diagnosis of clinically significant cancer. Secondary outcomes included the proportion of men who received a diagnosis of clinically insignificant cancer.

RESULTS

A total of 500 men underwent randomization. In the MRI-targeted biopsy group, 71 of 252 men (28%) had MRI results that were not suggestive of prostate cancer, so they did not undergo biopsy. Clinically significant cancer was detected in 95 men (38%) in the MRI-targeted biopsy group, as compared with 64 of 248 (26%) in the standard-biopsy group (adjusted difference, 12 percentage points; 95% confidence interval [CI], 4 to 20; P=0.005). MRI, with or without targeted biopsy, was noninferior to standard biopsy, and the 95% confidence interval indicated the superiority of this strategy over standard biopsy. Fewer men in the MRI-targeted biopsy group than in the standard-biopsy group received a diagnosis of clinically insignificant cancer (adjusted difference, -13 percentage points; 95% CI, -19 to -7; P<0.001).

CONCLUSIONS

The use of risk assessment with MRI before biopsy and MRI-targeted biopsy was superior to standard transrectal ultrasonography-guided biopsy in men at clinical risk for prostate cancer who had not undergone biopsy previously. (Funded by the National Institute for Health Research and the European Association of Urology Research Foundation; PRECISION ClinicalTrials.gov number, NCT02380027 .).

Diagnostic value and relative weight of sequence-specific magnetic resonance features in characterizing clinically significant prostate cancers

Purpose

To assess the diagnostic weight of sequence-specific magnetic resonance features in characterizing clinically significant prostate cancers (csPCa).

Materials and methods

We used a prospective database of 262 patients who underwent T2-weighted, diffusion-weighted, and dynamic contrast-enhanced (DCE) imaging before prostatectomy. For each lesion, two independent readers (R1, R2) prospectively defined nine features: shape, volume (V_Max), signal abnormality on each pulse sequence, number of pulse sequences with a marked (S_Max) and non-visible (S_Min) abnormality, likelihood of extracapsular extension (ECE) and PSA density (dPSA). Overall likelihood of malignancy was assessed using a 5-level Likert score. Features were evaluated using the area under the receiver operating characteristic curve (AUC). csPCa was defined as Gleason ≥7 cancer (csPCa-A), Gleason ≥7(4+3) cancer (csPCa-B) or Gleason ≥7 cancer with histological extraprostatic extension (csPCa-C),

Results

For csPCa-A, the Signal1 model (S_Max+S_Min) provided the best combination of signal-related variables, for both readers. The performance was improved by adding V_Max, ECE and/or dPSA, but not shape. All models performed better with DCE findings than without.

When moving from csPCa-A to csPCa-B and csPCa-C definitions, the added value of V_Max, dPSA and ECE increased as compared to signal-related variables, and the added value of DCE decreased.

For R1, the best models were Signal1+ECE+dPSA (AUC = 0,805 [95%CI:0,757–0,866]), Signal1+V_Max+dPSA (AUC = 0.823 [95%CI:0.760–0.893]) and Signal1+ECE+dPSA [AUC = 0.840 (95%CI:0.774–0.907)] for csPCa-A, csPCA-B and csPCA-C respectively. The AUCs of the corresponding Likert scores were 0.844 [95%CI:0.806–0.877, p = 0.11], 0.841 [95%CI:0.799–0.876, p = 0.52]) and 0.849 [95%CI:0.811–0.884, p = 0.49], respectively.

For R2, the best models were Signal1+V_Max+dPSA (AUC = 0,790 [95%CI:0,731–0,857]), Signal1+V_Max (AUC = 0.813 [95%CI:0.746–0.882]) and Signal1+ECE+V_Max (AUC = 0.843 [95%CI: 0.781–0.907]) for csPCa-A, csPCA-B and csPCA-C respectively. The AUCs of the corresponding Likert scores were 0. 829 [95%CI:0.791–0.868, p = 0.13], 0.790 [95%CI:0.742–0.841, p = 0.12]) and 0.808 [95%CI:0.764–0.845, p = 0.006]), respectively.

Conclusion

Combination of simple variables can match the Likert score’s results. The optimal combination depends on the definition of csPCa.

Stiffness of benign and malignant prostate tissue measured by shear-wave elastography: a preliminary study

OBJECTIVES

To measure benign and malignant prostate tissue stiffness using shear-wave elastography (SWE).

METHODS

Thirty consecutive patients underwent transrectal SWE in the axial and sagittal planes before prostatectomy. After reviewing prostatectomy specimens, two radiologists measured stiffness in regions corresponding to cancers, lateral and median benign peripheral zone (PZ) and benign transition zone (TZ).

RESULTS

Cancers were stiffer than benign PZ and TZ. All tissue classes were stiffer on sagittal than on axial imaging, in TZ than in PZ, and in median PZ than in lateral PZ. At multivariate analysis, the nature of tissue (benign or malignant; P < 0.00001), the imaging plane (axial or sagittal; P < 0.00001) and the location within the prostate (TZ, median PZ or lateral PZ; P = 0.0065) significantly and independently influenced tissue stiffness. On axial images, the thresholds maximising the Youden index in TZ, lateral PZ and median PZ were respectively 62 kPa, 33 kPa and 49 kPa. On sagittal images, the thresholds were 76 kPa, 50 kPa and 72 kPa, respectively.

CONCLUSIONS

SWE can distinguish prostate malignant and benign tissues. Tissue stiffness is influenced by the imaging plane and the location within the gland.

KEY POINTS

• Prostate cancers were stiffer than the benign peripheral zone • All tissue classes were stiffer on sagittal than on axial imaging • All tissue classes were stiffer in the transition zone than in the peripheral zone • All tissue classes were stiffer in the median than in the lateral peripheral zone • Taking into account imaging plane and zonal anatomy can improve cancer detection.

Accuracy of Elastic Fusion of Prostate Magnetic Resonance and Transrectal Ultrasound Images under Routine Conditions: A Prospective Multi-Operator Study

Purpose

To evaluate in unselected patients imaged under routine conditions the co-registration accuracy of elastic fusion between magnetic resonance (MR) and ultrasound (US) images obtained by the Koelis Urostation^™.

Materials and Methods

We prospectively included 15 consecutive patients referred for placement of intraprostatic fiducials before radiotherapy and who gave written informed consent by signing the Institutional Review Board-approved forms. Three fiducials were placed in the prostate under US guidance in standardized positions (right apex, left mid-gland, right base) using the Koelis Urostation^™. Patients then underwent prostate MR imaging. Four operators outlined the prostate on MR and US images and an elastic fusion was retrospectively performed. Fiducials were used to measure the overall target registration error (TRE_3D), the error along the antero-posterior (TRE_AP), right-left (TRE_RL) and head-feet (TRE_HF) directions, and within the plane orthogonal to the virtual biopsy track (TRE_2D).

Results

Median TRE_3D and TRE_2D were 3.8–5.6 mm, and 2.5–3.6 mm, respectively. TRE_3D was significantly influenced by the operator (p = 0.013), fiducial location (p = 0.001) and 3D axis orientation (p<0.0001). The worst results were obtained by the least experienced operator. TRE_3D was smaller in mid-gland and base than in apex (average difference: -1.21 mm (95% confidence interval (95%CI): -2.03; -0.4) and -1.56 mm (95%CI: -2.44; -0.69) respectively). TRE_AP and TRE_HF were larger than TRE_RL (average difference: +1.29 mm (95%CI: +0.87; +1.71) and +0.59 mm (95%CI: +0.1; +0.95) respectively).

Conclusions

Registration error values were reasonable for clinical practice. The co-registration accuracy was significantly influenced by the operator’s experience, and significantly poorer in the antero-posterior direction and at the apex.

[The W-shaped ileal neobladder: Long term functional outcomes and health-related quality of life]

PURPOSE

To evaluate functional outcomes and patients' health-related quality of life over ten years after a W-shaped ileal neobladder urinary diversion.

PATIENTS AND METHODS

From 1994 to 2004, 87 patients with bladder cancer underwent a cystoprostatectomy with a W-shaped ileal neobladder. Among them, 31 patients (35.6%) were evaluated. The average follow-up was 158months, average age was 72years. We assessed functional outcomes (use of protections, USP score, uroflowmetry, postvoid residual volume), overall health-related quality of life (SF-36 score), and specific urinary-related quality of life (Ditrovie scale).

RESULTS

Daytime continence was satisfactory in 29 patients (96.8%). Night-time continence was satisfactory in 27 patients (87.1%). Mean daytime continence, hyperactivity and dysuria scores of the USP were respectively 1.5/9, 3.2/21 and 2/9. Mean value of the maximum flow rate was 18mL/s for an average voiding volume of 324mL and an average postvoid residual volume of 70mL. The 8 dimensions of the SF-36 were all comparable with the French population's values. According to the Ditrovie scale whose average value was 1.83, the health-related quality of life was unchanged or little changed by urinary disorders in 28 patients (90.3%).

CONCLUSIONS

Our results suggest that voiding status and health-related quality of life remain satisfactory over ten years after an orthotopic ileal neobladder derivation.

LEVEL OF EVIDENCE

5.

Standardization of definitions in focal therapy of prostate cancer: report from a Delphi consensus project

PURPOSE

To reach standardized terminology in focal therapy (FT) for prostate cancer (PCa).

METHODS

A four-stage modified Delphi consensus project was undertaken among a panel of international experts in the field of FT for PCa. Data on terminology in FT was collected from the panel by three rounds of online questionnaires. During a face-to-face meeting on June 21, 2015, attended by 38 experts, all data from the online rounds were reviewed and recommendations for definitions were formulated.

RESULTS

Consensus was attained on 23 of 27 topics; Targeted FT was defined as a lesion-based treatment strategy, treating all identified significant cancer foci; FT was generically defined as an anatomy-based (zonal) treatment strategy. Treatment failure due to the ablative energy inadequately destroying treated tissue is defined as ablation failure. In targeting failure the energy is not adequately applied to the tumor spatially and selection failure occurs when a patient was wrongfully selected for FT. No definition of biochemical recurrence can be recommended based on the current data. Important definitions for outcome measures are potency (minimum IIEF-5 score of 21), incontinence (new need for pads or leakage) and deterioration in urinary function (increase in IPSS >5 points). No agreement on the best quality of life tool was established, but UCLA-EPIC and EORTC-QLQ-30 were most commonly supported by the experts. A complete overview of statements is presented in the text.

CONCLUSION

Focal therapy is an emerging field of PCa therapeutics. Standardization of definitions helps to create comparable research results and facilitate clear communication in clinical practice.

Quantitative Analysis of Prostate Multiparametric MR Images for Detection of Aggressive Prostate Cancer in the Peripheral Zone: A Multiple Imager Study

Purpose To assess the intermanufacturer variability of quantitative models in discriminating cancers with a Gleason score of at least 7 among peripheral zone (PZ) lesions seen at 3-T multiparametric magnetic resonance (MR) imaging. Materials and Methods An institutional review board-approved prospective database of 257 patients who gave written consent and underwent T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced imaging before prostatectomy was retrospectively reviewed. It contained outlined lesions found to be suspicious for malignancy by two independent radiologists and classified as malignant or benign after correlation with prostatectomy whole-mount specimens. One hundred six patients who underwent imaging with 3-T MR systems from two manufacturers were selected (data set A, n = 72; data set B, n = 34). Eleven parameters were calculated in PZ lesions: normalized T2-weighted signal intensity, skewness and kurtosis of T2-weighted signal intensity, T2 value, wash-in rate, washout rate, time to peak (TTP), mean apparent diffusion coefficient (ADC), 10th percentile of the ADC, and skewness and kurtosis of the histogram of the ADC values. Parameters were selected on the basis of their specificity for a sensitivity of 0.95 in diagnosing cancers with a Gleason score of at least 7, and the area under the receiver operating characteristic curve (AUC) for the models was calculated. Results The model of the 10th percentile of the ADC with TTP yielded the highest AUC in both data sets. In data set A, the AUC was 0.90 (95% confidence interval [CI]: 0.85, 0.95) or 0.89 (95% CI: 0.82, 0.94) when it was trained in data set A or B, respectively. In data set B, the AUC was 0.84 (95% CI: 0.74, 0.94) or 0.86 (95% CI: 0.76, 0.95) when it was trained in data set A or B, respectively. No third variable added significantly independent information in any data set. Conclusion The model of the 10th percentile of the ADC with TTP yielded accurate results in discriminating cancers with a Gleason score of at least 7 among PZ lesions at 3 T in data from two manufacturers. (©) RSNA, 2016 Online supplemental material is available for this article.