MRI accuracy for recurrence after partial gland ablation with HIFU for localized prostate cancer. A systematic review and meta-analysis.

BACKGROUND: Prostate cancer remains the most frequently diagnosed cancer among men. High-Intensity Focused Ultrasound (HIFU) has emerged as a thermal ablative technique for partial-gland-ablation (PGA), aiming to minimize collateral damage while maximizing tumor control. Monitoring after HIFU PGA relies on serial PSA testing, multiparametric-MRI, and biopsies. The diagnostic accuracy of MRI for clinically-significant cancer(csPCa) recurrence is challenging. OBJECTIVE: This systematic review and meta-analysis aim to evaluate the accuracy of MRI in detecting early recurrence of localized prostate cancer following HIFU PGA. METHODS: Adhering to PRISMA guidelines, a comprehensive literature search was conducted until May 8th 2024 using MEDLINE and Scopus. The inclusion criteria encompassed randomized controlled trials and cohort studies involving men diagnosed with localized prostate cancer who had as primary treatment HIFU PGA. The primary outcome measures included the sensitivity, specificity, positive-predictive value (PPV), and negative-predictive value (NPV) of MRI for csPCa(ISUP ≥ 2) based on biopsy results. We pooled data from studies with sufficient csPCa and csPCa-free patients (≥5) post HIFU for statistical analysis. RESULTS: Fifteen studies meet the inclusion criteria, encompassing 1093 patients and 12 studies were eligible for meta-analysis. MRI sensitivity in detecting clinically-significant prostate cancer (csPCa) recurrence post HIFU PGA varied widely (0-89%), with a pooled sensitivity of 0.52 (95% CI:0.36-0.68). Specificity ranged from 44% to 100%, with a pooled specificity of 0.81 (95% CI:0.68-0.91). The pooled NPV was 0.82 (95% CI:0.72-0.90), and the pooled PPV was 0.50 (95% CI:0.35-0.65). Three studies reported in-field diagnostic performance with sensitivities ranging from 0.42 to 0.80 and specificities from 0.45 to 0.97. CONCLUSION: MRI accuracy for clinically-significant recurrence after partial gland ablation with HIFU for localized prostate cancer shows low diagnostic performance in the treated lobe with pooled sensitivity of 0.52 (95% CI:0.36-0.68) and specificity of 0.81 (95% CI:0.68-0.91). Limits of this review include the low number of studies reporting about site of recurrence in or out of the treated lobe.

ESR Essentials: using the right scoring system in prostate MRI-practice recommendations by ESUR.

MRI has gained prominence in the diagnostic workup of prostate cancer (PCa) patients, with the Prostate Imaging Reporting and Data System (PI-RADS) being widely used for cancer detection. Beyond PI-RADS, other MRI-based scoring tools have emerged to address broader aspects within the PCa domain. However, the multitude of available MRI-based grading systems has led to inconsistencies in their application within clinical workflows. The Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) assesses the likelihood of clinically significant radiological changes of PCa during active surveillance, and the Prostate Imaging for Local Recurrence Reporting (PI-RR) scoring system evaluates the risk of local recurrence after whole-gland therapies with curative intent. Underlying any system is the requirement to assess image quality using the Prostate Imaging Quality Scoring System (PI-QUAL). This article offers practicing radiologists a comprehensive overview of currently available scoring systems with clinical evidence supporting their use for managing PCa patients to enhance consistency in interpretation and facilitate effective communication with referring clinicians. KEY POINTS: Assessing image quality is essential for all prostate MRI interpretations and the PI-QUAL score represents  the standardized tool for this purpose. Current urological clinical guidelines for prostate cancer diagnosis and localization recommend adhering to the PI-RADS recommendations. The PRECISE and PI-RR scoring systems can be used for assessing radiological changes of prostate cancer during active surveillance and the likelihood of local recurrence after radical treatments respectively.

PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI.

Multiparametric MRI is the optimal primary investigation when prostate cancer is suspected, and its ability to rule in and rule out clinically significant disease relies on high-quality anatomical and functional images. Avenues for achieving consistent high-quality acquisitions include meticulous patient preparation, scanner setup, optimised pulse sequences, personnel training, and artificial intelligence systems. The impact of these interventions on the final images needs to be quantified. The prostate imaging quality (PI-QUAL) scoring system was the first standardised quantification method that demonstrated the potential for clinical benefit by relating image quality to cancer detection ability by MRI. We present the updated version of PI-QUAL (PI-QUAL v2) which applies to prostate MRI performed with or without intravenous contrast medium using a simplified 3-point scale focused on critical technical and qualitative image parameters. CLINICAL RELEVANCE STATEMENT: High image quality is crucial for prostate MRI, and the updated version of the PI-QUAL score (PI-QUAL v2) aims to address the limitations of version 1. It is now applicable to both multiparametric MRI and MRI without intravenous contrast medium. KEY POINTS: High-quality images are essential for prostate cancer diagnosis and management using MRI. PI-QUAL v2 simplifies image assessment and expands its applicability to prostate MRI without contrast medium. PI-QUAL v2 focuses on critical technical and qualitative image parameters and emphasises T2-WI and DWI.

PRECISE Version 2: Updated Recommendations for Reporting Prostate Magnetic Resonance Imaging in Patients on Active Surveillance for Prostate Cancer.

BACKGROUND AND OBJECTIVE: The Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) recommendations standardise the reporting of prostate magnetic resonance imaging (MRI) in patients on active surveillance (AS) for prostate cancer. An international consensus group recently updated these recommendations and identified the areas of uncertainty. METHODS: A panel of 38 experts used the formal RAND/UCLA Appropriateness Method consensus methodology. Panellists scored 193 statements using a 1-9 agreement scale, where 9 means full agreement. A summary of agreement, uncertainty, or disagreement (derived from the group median score) and consensus (determined using the Interpercentile Range Adjusted for Symmetry method) was calculated for each statement and presented for discussion before individual rescoring. KEY FINDINGS AND LIMITATIONS: Participants agreed that MRI scans must meet a minimum image quality standard (median 9) or be given a score of 'X' for insufficient quality. The current scan should be compared with both baseline and previous scans (median 9), with the PRECISE score being the maximum from any lesion (median 8). PRECISE 3 (stable MRI) was subdivided into 3-V (visible) and 3-NonV (nonvisible) disease (median 9). Prostate Imaging Reporting and Data System/Likert ≥3 lesions should be measured on T2-weighted imaging, using other sequences to aid in the identification (median 8), and whenever possible, reported pictorially (diagrams, screenshots, or contours; median 9). There was no consensus on how to measure tumour size. More research is needed to determine a significant size increase (median 9). PRECISE 5 was clarified as progression to stage ≥T3a (median 9). CONCLUSIONS AND CLINICAL IMPLICATIONS: The updated PRECISE recommendations reflect expert consensus opinion on minimal standards and reporting criteria for prostate MRI in AS.

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.

Autotransplantation or In Situ Surgical Treatment of Complex Renal Artery Aneurysm: Surgical Technique and Outcomes.

Background and objective: Renal artery aneurysm (RAA) is a rare condition. Our study investigates the effectiveness and outcomes of surgical treatments for complex RAA, comparing the in situ (IS) and ex vivo autotransplantation (AT) methods. Methods: We conducted a retrospective study from June 2015 to March 2023, including all consecutive patients treated surgically for complex RAA in our center. We focused on patients with complex RAA locations requiring open surgical multidisciplinary treatment, excluding those with simple aneurysms or who were treated endovascularly. Preoperative data including demographics, comorbidities, and cardiovascular risk factors were collected. The measured primary outcome was the absence of residual aneurysm and main renal arterial thrombosis after surgery. The secondary outcomes included pre- and postoperative kidney perfusion analyses and surgical complications as per Clavien-Dindo classification. Differences between AT and IS were assessed by Wilcoxon, chi-square, or Fischer's exact test. Key findings and limitations: Twenty-seven aneurysms were treated in 25 patients. No residual aneurysm or main artery thrombosis was found after surgery. Ten (40%) patients underwent AT surgery. The median kidney perfusion differences were 2 cc (-12; 13), 0 cc (-13; 10), and 2 cc (-10; 13; p = 0.41) in the whole, AT, and IS cohorts, respectively. Clavien-Dindo grade 1 and 2 complications occurred in 11% and 30% of patients, respectively, with no grade 3 or 4 complications observed. Conclusions and clinical implications: Complex RAA can be managed effectively through open surgery, ensuring good ipsilateral renal preservation and tolerable toxicity. Both AT and IS surgeries yielded similar outcomes. Further multicenter studies are warranted to confirm our findings. Patient summary: This study explored the treatment of a rare kidney blood vessel condition called renal artery aneurysm using two surgical approaches. Our findings suggest that both surgical techniques are effective in treating this condition without major complications, ensuring good kidney preservation. These promising results need further confirmation through larger studies across different medical centers.

Robot Partial Prostatectomy for Anterior Cancer: Long-term Functional and Oncological Outcomes at 7 Years.

Partial prostatectomy has been described as an alternative to focal ablation therapy for the management of localized low- to intermediate-risk prostate cancer. This report aims to describe the long-term outcomes in a series of 28 men (2000-2022) who underwent robotic-assisted anterior partial prostatectomy (APP) for anteriorly located tumors entirely or partially within the anterior fibromuscular stroma. The median follow-up is 7 yr (interquartile range [IQR]: 4.2-8). The median prostate-specific antigen (PSA) before APP was 9.6 (6-11). Continence remained uninterrupted in 92% of patients. Erectile function without drug remained uninterrupted in 69%. The median nadir PSA after APP was 0.36 ng/ml (IQR: 0.25-0.60). Cancer recurrence at biopsies at the margins of the primary cancer resected area in case of a PSA elevation was observed in eight patients and led to salvage completion robotic radical prostatectomy at a median time of 3.25 yr (IQR: 2.4-6). Freedom from post-APP cancer recurrence at 7 yr was 62.7% (35.0-81.3%). Pre-APP tumor volume at magnetic resonance imaging (MRI) and volume of grade 4/5 were predictive of recurrence. Freedom from biochemical recurrence after completion radical prostatectomy at 7 yr was 94.7% (68.1-99.3%). All 28 patients are alive. No one had systemic treatment or metastases. These results confirm our initial report of robotic APP with good functional results and acceptable oncological results. The use of the inclusion criteria of pre-APP tumor volume at MRI <3 cc may decrease the risk of recurrence. Patient summary: In this report, we looked at outcomes for infrequent cases of anterior prostate cancer treated with anterior partial prostatectomy, an uncommon surgical procedure as an alternative to in situ focal ablation therapy, to better preserve functional outcomes as compared with whole gland therapy. We found that functional outcomes of uninterrupted continence and erectile function were good. Out of 28 patients, eight had recurrence in the remaining prostate and were treated with a second surgical procedure, radical prostatectomy, which was feasible. We conclude that this new technique is feasible with good functional results and acceptable oncological results, which can be shared with the patients.

A multicenter comparative matched-pair analysis of percutaneous tumor ablation and robotic-assisted partial nephrectomy of T1b renal cell carcinoma (AblatT1b study-UroCCR 80).

OBJECTIVE: Renal cell carcinomas represent the sixth- and tenth-most frequently diagnosed cancer in men and women. Recently, percutaneous-guided thermal ablations have proved to be as effective as partial nephrectomy and safer for treating small renal masses (i.e., < 3 cm). This study compared the perioperative and recurrence outcomes of percutaneous thermal ablation (TA) and robotic-assisted partial nephrectomy (RAPN) for the treatment of T1b renal cell carcinomas (4.1-7 cm). METHODS: Retrospective data from 11 centers on the national database, between 2010 and 2020, included 81 patients treated with thermal ablation (TA) and 308 patients treated with RAPN for T1b renal cell carcinoma, collected retrospectively and matched for tumor size, histology results, and the RENAL score. TA included cryoablation and microwave ablation. Endpoints compared the rate between the two groups: local recurrence, metastases, complications, renal function decrease, and length of hospitalization. RESULTS: After matching, 75 patients were included in each group; mean age was 76.6 (± 9) in the TA group and 61.1 (± 12) in the RAPN group, including 69.3% and 76% men respectively. The local recurrence (LR) rate was significantly higher in the TA group than in the PN group (14.6% vs 4%; p = 0.02). The LR rate was 20% (1/5) after microwave ablation, 11.1% (1/9) after radiofrequency ablation, and 14.7% (9/61) after cryoablation. The major complication rate (Clavien-Dindo ≥ 3) was higher following PN than after TA (5.3% vs 0%; p < 0.001). Metastases, eGFR decrease, and length of hospitalization did not differ significantly between the two groups. CONCLUSIONS: The local recurrence rate was significantly higher after thermal ablation; however, thermal ablation resulted in significantly lower rates of complications. Thermal ablation and robotic-assisted partial nephrectomy are effective treatments for T1b renal cancer; however, the local recurrence rate was higher after thermal ablation. KEY POINTS: • The local recurrence rate was significantly higher in the thermal ablation group than in the partial nephrectomy group. • The major complication rate (Clavien-Dindo ≥ 3) was higher following PN than after TA (5.3% vs. 0%; p < 0.001).

Risk Estimation of Metastatic Recurrence After Prostatectomy: A Model Using Preoperative Magnetic Resonance Imaging and Targeted Biopsy.

Background: The risk of prostate cancer metastatic is correlated with its volume and grade. These parameters are now best estimated preoperatively with magnetic resonance imaging (MRI) and MRI-guided biopsy. Objective: To estimate the risk of metastatic recurrence after radical prostatectomy (RP) in our model versus conventional clinical European Association of Urology (EAU) classification. The secondary objective is biochemical recurrence (BCR). Design setting and participants: A retrospective study was conducted of a cohort of 713 patients having undergone MRI-guided biopsies and RP between 2009 and 2018. The preoperative variables included prostate-specific antigen, cT stage, tumor volume (TV) based on the lesion's largest diameter at MRI, percentage of Gleason pattern 4/5 (%GP4/5) at MRI-guided biopsy, and volume of GP4/5 (VolGP4/5) calculated as TV × %GP4/5. Outcome measurements and statistical analysis: The variables' ability to predict recurrence was determined in univariable and multivariable Fine-and-Gray models, according to the Akaike information criterion (AIC) and Harrell's C-index. Results and limitations: Overall, 176 (25%), 430 (60%), and 107 (15%) patients had low, intermediate, and high-risk disease, respectively, according to the EAU classification. During a median follow-up period of 57 mo, metastatic recurrence was observed in 48 patients with a 5-yr probability of 5.6% (95% confidence interval [CI] 3.9-7.7). VolGP4/5 (categories: <0.5, 0.5-1.0, 1.01-3.2, and >3.2 ml) was the parameter with the lowest AIC and the highest C-index for metastatic recurrence of 0.82 (95% CI 0.76-0.88), and for BCR it was 0.73 (95% CI 0.68-0.78). In a multivariable model that included %GP4/5 and TV, C-index values were 0.86 (95% CI 0.79-0.91) for metastatic recurrence and 0.77 (0.72-0.82) for BCR. The same results for EAU classification were 0.74 (0.67-0.80) and 0.67 (0.63-0.72), respectively. Limitations are related to short follow-up and expertise of radiologists and urologists. Conclusions: We developed a preoperative risk tool integrating the VolGP4/5 based on MRI and MRI-guided biopsies to predict metastatic recurrence after RP. Our model showed higher accuracy than conventional clinical risk models. These findings might enable physicians to provide more personalized patient care. Patient summary: Aggressiveness of prostate cancer evaluated before treatment by incorporating magnetic resonance imaging (MRI) and MRI-guided biopsy results gives a better estimate of the risk of metastatic recurrence than previous parameters not based on MRI.

"Re-Materialized" Medical Data: Paper-Based Transmission of Structured Medical Data Using QR-Code, for Medical Imaging Reports.

Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm.

Impact of positive vascular margins status after surgical resection of non-metastatic renal cell carcinoma with caval tumour thrombus: a propensity score multicentre study.

BACKGROUND: Data evaluating the impact of positive vascular margins (PVMs) following surgical resection of non-metastatic renal cell carcinoma (RCC) with inferior vena cava (IVC) tumor thrombus are lacking. OBJECTIVE: To analyze the oncological impact of positive vascular margins following surgical resection of RCC with IVC tumor thrombus. METHODS: Patients who underwent radical nephrectomy with the removal of IVC tumour thrombus for RCC between 2000 and 2019 were included. PVMs were identified from pathology reports defined as microscopically identified tumour present in the IVC wall at the site of resection or in case of thrombus was not completely removed. To achieve balance in baseline characteristics between patients with PVMs versus negative vascular margins, we used inverse probability of treatment weighting (IPTW) based on the propensity score. Local recurrence, distant metastasis and overall mortality were evaluated between groups using Cox proportional hazards regression models. RESULTS: 209 patients were analyzed. Among them, 49 (23%) patients with PVMs were identified. Median follow-up was 55 months. After adjustment, excellent balance was achieved for most propensity score variables. In IPTW analysis, PVMs was associated with a higher risk of local recurrence (HR = 3.66; p < 0.001) without any impact on systemic recurrence (HR = 1.15; p = 0.47) or overall mortality (HR = 1.23; p = 0.48). Limitations include the sample size and unmeasured confounding. CONCLUSION: Our results suggest that a PVMs in patients with RCC after nephrectomy with thrombectomy is associated with a higher risk of local recurrence, however, it did not appear to influence the risk of distant metastasis or death.

Multiparametric magnetic resonance imaging for bladder cancer: a comprehensive systematic review of the Vesical Imaging-Reporting and Data System (VI-RADS) performance and potential clinical applications.

BACKGROUND: The Vesical Imaging-Reporting and Data System (VI-RADS) score is a novel standardized approach to image and report bladder cancer (BC) with multiparametric MRI (mpMRI). OBJECTIVES: To describe and evaluate the performance of the VI-RADS score using mpMRI and assess its potential clinical applications and limitations. METHODS: A systematic review was conducted using the MEDLINE and EMBASE electronic bibliographic databases between June 2020 and December 2020. All reports deemed relevant to describe the VI-RADS score and assess its performance and applications were retrieved. Results presentation stands as narrative, purely descriptive synthesis based on aggregate studies data. RESULTS: A total of 20 relevant studies were retrieved: three meta-analyses, five prospective studies, and twelve retrospective studies. The retrospective studies covered 1676 patients, while the prospective studies included a total number of 468 patients. Pooled sensitivity, specificity to differentiate muscle-invasive from non-muscle-invasive bladder cancer, ranged from 74.1% to 97.3%, and 77% to 100%, respectively. The chosen VI-RADS score thresholds for this discrimination varied across studies. The interreader agreement ranged from 0.73 to 0.95. Currently, the potential clinical applications of VI-RADS consist of initial BC risk stratification, assessment of neoadjuvant therapies response, and bladder sparing approaches, although further validation is required. CONCLUSIONS: The VI-RADS score helps to discriminate muscle invasive from non-muscle invasive BC with good performance and reproducibility. A simple algorithm based on four basic questions may enhance its popularization. Further studies are required to validate the clinical applications.

Contribution of serum anti-Müllerian hormone in the management of azoospermia and the prediction of testicular sperm retrieval outcomes: a study of 155 adult men.

BACKGROUND: Testicular sperm extraction (TESE) is the method of choice for recovering spermatozoa in patients with azoospermia. However, the lack of reliable biomarkers makes it impossible to predict sperm retrieval outcomes at TESE. To date, little attention has been given to anti-Müllerian hormone (AMH) serum levels in adult men with altered spermatogenesis. In this study we aimed to investigate whether serum concentrations of AMH and the AMH to total testosterone ratio (AMH/T) might be predictive factors for sperm retrieval outcomes during TESE in a cohort of 155 adult Caucasian men with azoospermia. RESULTS: AMH serum levels were significantly lower in nonobstructive azoospermia (NOA) that was unexplained, cryptorchidism-related, cytotoxic and genetic (medians [pmol/l] = 30.1; 21.8; 26.7; 7.3; and p = 0.02; 0.001; 0.04; <0.0001, respectively]) compared with obstructive azoospermia (OA) (median = 44.8 pmol/l). Lowest values were observed in cases of genetic NOA (p < 0.0001, compared with unexplained NOA) and especially in individuals with non-mosaic Klinefelter syndrome (median = 2.3 pmol/l, p <0.0001). Medians of AMH/T values were significantly lower in genetic NOA compared to unexplained, cryptorchidism-related NOA as well as OA. Only serum concentrations of AMH differed significantly between positive and negative groups in men with non-mosaic Klinefelter syndrome. The optimal cut-off of serum AMH was set at 2.5 pmol/l. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy of this cut-off to predict negative outcomes of SR were 100 %, 76.9 %, 66.6 %, 100 and 84.2 %, respectively. CONCLUSIONS: Serum AMH levels, but not AMH/T values, are a good marker for Sertoli and germ cell population dysfunction in adult Caucasian men with non-mosaic Klinefelter syndrome and could help us to predict negative outcomes of SR at TESE with 100 % sensitivity when serum levels of AMH are below 2.5 pmol/l.

RéSUMé: INTRODUCTION: L'extraction chirurgicale de spermatozoïdes testiculaires (ECST) est la méthode qui permet d'offrir aux hommes ayant une azoospermie des chances de paternité via l'assistance médicale à la procréation. Cependant, le manque de biomarqueurs fiables rend impossible de prédire les résultats de l'ECST. À ce jour, peu d'attention a été accordée aux valeurs sériques d'hormone anti-müllérienne (AMH) chez les hommes adultes ayant une spermatogenèse altérée. Dans cette étude, nous avons cherché à déterminer si les concentrations sériques d'AMH et le rapport AMH sur testostérone totale (AMH/T) pouvaient être des facteurs prédictifs des résultats de l'ECST dans une cohorte de 155 hommes adultes caucasiens ayant une azoospermie. RéSULTATS: Les concentrations sériques d'AMH étaient significativement plus faibles dans l'azoospermie non-obstructive (ANO) non inexpliquée, ANO associée à un antécédent de cryptorchidie, ANO d'origine cytotoxique et génétique (médianes [pmol/l] = 30,1; 21,8; 26,7; 7,3; et p = 0,02; 0,001; 0,04; <0,0001, respectivement) comparativement au groupe contrôle d'azoospermie obstructive (AO) (médiane = 44,8 pmol/l). Les plus faibles valeurs ont été observées dans le groupe d'ANO d'origine génétique (p = 0,0001, par rapport à l'ANO non inexpliquée) et particulièrement chez les individus avec un syndrome de Klinefelter (médiane = 2,3 pmol/l, p <0,0001). Seules les concentrations sériques d'AMH différaient significativement entre les individus avec résultats positifs et négatifs d'extraction de spermatozoïdes chez les hommes atteints d'un syndrome de Klinefelter non mosaïque. Un seuil optimal du taux sérique d'AMH a été fixé à 2,5 pmol/l. La sensibilité, la spécificité, la valeur prédictive positive, la valeur prédictive négative et l'exactitude de ce seuil pour prédire un résultat négatif étaient de 100 %, 76,9 %, 66,6 %, 100 % et 84,2 %, respectivement. CONCLUSIONS: Seules les concentrations sérique d'AMH, et non pas le rapport AMH/T, sont un bon marqueur du dysfonctionnement des cellules de Sertoli ainsi que des cellules germinales chez les hommes adultes caucasiens atteints du syndrome de Klinefelter non mosaïque. Elles peuvent prédire un résultat négatif du prélèvement de spermatozoïdes lors de l'ECST avec une sensibilité de 100 % lorsque les niveaux sériques sont inférieurs à 2,5 pmol/l.

International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer.

BACKGROUND: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data. METHODS: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens. The performance of the statistical model was evaluated by bootstrap resampling and cross validation and compared with the performance of benchmark models that do not incorporate MRI findings. RESULTS: Data from 840 patients were analyzed; pathologic EPE was found in 320/840 (31.8%). The nomogram model included patient age, prostate-specific antigen density, side-specific biopsy data (i.e., Gleason grade group, percent positive cores, tumor extent), and side-specific MRI features (i.e., presence of a PI-RADSv2 4 or 5 lesion, level of suspicion for EPE, length of capsular contact). The area under the receiver operating characteristic curve of the new, MRI-inclusive model (0.828, 95% confidence limits: 0.805, 0.852) was significantly higher than that of any of the benchmark models (p < 0.001 for all). CONCLUSIONS: In an international, multi-site study, we developed an MRI-inclusive nomogram for the side-specific prediction of EPE of prostate cancer that demonstrated significantly greater accuracy than clinical benchmark models.

ICIPEMIR: Improving the Completeness, Interoperability and Patient Explanations of Medical Imaging Reports.

INTRODUCTION: Although electronic health records have been facilitating the management of medical information, there is still room for improvement in daily production of medical report. Possible areas for improvement would be: to improve reports quality (by increasing exhaustivity), to improve patients' understanding (by mean of a graphical display), to save physicians' time (by helping reports writing), and to improve sharing and storage (by enhancing interoperability). We set up the ICIPEMIR project (Improving the completeness, interoperability and patients explanation of medical imaging reports) as an academic solution to optimize medical imaging reports production. Such a project requires two layers: one engineering layer to build the automation process, and a second medical layer to determine domain-specific data models for each type of report. We describe here the medical layer of this project. METHODS: We designed a reproducible methodology to identify -for a given medical imaging exam- mandatory fields, and describe a corresponding simple data model using validated formats. The mandatory fields had to meet legal requirements, domain-specific guidelines, and results of a bibliographic review on clinical studies. An UML representation, a JSON Schema, and a YAML instance dataset were defined. Based on this data model a form was created using Goupile, an open source eCRF script-based editor. In addition, a graphical display was designed and mapped with the data model, as well as a text template to automatically produce a free-text report. Finally, the YAML instance was encoded in a QR-Code to allow offline paper-based transmission of structured data. RESULTS: We tested this methodology in a specific domain: computed tomography for urolithiasis. We successfully extracted 73 fields, and transformed them into a simple data model, with mapping to a simple graphical display, and textual report template. The offline QR-code transmission of a 2,615 characters YAML file was successful with simple smartphone QR-Code scanner. CONCLUSION: Although automated production of medical report requires domain-specific data model and mapping, these can be defined using a reproducible methodology. Hopefully this proof of concept will lead to a computer solution to optimize medical imaging reports, driven by academic research.

Negative Prebiopsy Magnetic Resonance Imaging and Risk of Significant Prostate Cancer: Baseline and Long-Term Followup Results.

PURPOSE: Prostate biopsy should be discussed with the patient in cases of negative magnetic resonance imaging and low clinical suspicion of prostate cancer.Our primary objective was to describe the risk of clinically significant prostate cancer in a negative magnetic resonance imaging biopsy naïve population at baseline and during long-term followup. The secondary objective was to evaluate clinical factors and prostate specific antigen as predictors of clinically significant prostate cancer at baseline. MATERIALS AND METHODS: All 503 consecutive patients who were biopsy naïve referred from 2007 to 2017 for biopsy with negative magnetic resonance imaging (PI-RADS™ 1-2) who had systematic 12-core biopsies at baseline were included. Clinical factors were digital rectal examination, prostate cancer family history and prostate specific antigen. In case of suspicious digital rectal examination or prostate specific antigen kinetics during followup, magnetic resonance imaging and biopsy were performed. Clinically significant prostate cancer was defined as either Gleason Grade 1 with cancer core length greater than 5 mm or 3 or more positive systematic 12-core biopsies in addition to Gleason Grade 2 or greater (clinically significant prostate cancer-1) or any Gleason Grade 2 or greater (clinically significant prostate cancer-2). Nonclinically significant prostate cancer was defined as either Gleason Grade 1 with cancer core length 5 mm or less and fewer than 3 positive systematic 12-core biopsies (nonclinically significant prostate cancer-1) or any Gleason Grade 1 (nonclinically significant prostate cancer-2). Definition of high risk clinically significant prostate cancer was Gleason Grade 3 or greater. Univariate and multivariate models were fitted to identify predictors of clinically significant prostate cancer risk. RESULTS: At baseline, biopsy showed clinically significant prostate cancer-1 in 9% (45), clinically significant prostate cancer-2 in 6% (29) and nonclinically significant prostate cancer in 22% (111). At median followup of 4 years (IQR 1.6-7.1), 31% (95% CI 27-36) of 415 untreated patients had a second magnetic resonance imaging and 24% (95% CI 20-28) a second biopsy that showed clinically significant prostate cancer-1 in 5% (21/415, 95% CI 3-7), clinically significant prostate cancer-2 in 2% (7/415, 95% CI 1-3) and nonclinically significant prostate cancer in 8%. Overall incidence was 13% (66/503, 95% CI 7-21) for clinically significant prostate cancer-1, 7% (36/503, 95% CI 5-9%) for clinically significant prostate cancer-2 and 2% (12/503, 95% CI 1.1-3.7) for high risk prostate cancer. Predictors of clinically significant prostate cancer risk were prostate specific antigen density 0.15 ng/ml/ml or greater (OR 2.43, 1.19-4.21), clinical stage T2a or greater (OR 3.32, 1.69-6.53) and prostate cancer family history (OR 2.38, 1.10-6.16). Performing biopsy in patients with negative magnetic resonance imaging and prostate specific antigen density 0.15 ng/ml/ml or greater or abnormal digital rectal examination or prostate cancer family history would have decreased from 9% to 2.4% the risk of missing clinically significant prostate cancer-1 at baseline while avoiding biopsy in 56% of cases. CONCLUSIONS: The risk of clinically significant prostate cancer in a negative magnetic resonance imaging biopsy naïve population was 6% to 9% at baseline and 7% to 13% at long-term followup depending on clinically significant prostate cancer definitions.

ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists' training.

OBJECTIVES: This study aims to define consensus-based criteria for acquiring and reporting prostate MRI and establishing prerequisites for image quality. METHODS: A total of 44 leading urologists and urogenital radiologists who are experts in prostate cancer imaging from the European Society of Urogenital Radiology (ESUR) and EAU Section of Urologic Imaging (ESUI) participated in a Delphi consensus process. Panellists completed two rounds of questionnaires with 55 items under three headings: image quality assessment, interpretation and reporting, and radiologists' experience plus training centres. Of 55 questions, 31 were rated for agreement on a 9-point scale, and 24 were multiple-choice or open. For agreement items, there was consensus agreement with an agreement ≥ 70% (score 7-9) and disagreement of ≤ 15% of the panellists. For the other questions, a consensus was considered with ≥ 50% of votes. RESULTS: Twenty-four out of 31 of agreement items and 11/16 of other questions reached consensus. Agreement statements were (1) reporting of image quality should be performed and implemented into clinical practice; (2) for interpretation performance, radiologists should use self-performance tests with histopathology feedback, compare their interpretation with expert-reading and use external performance assessments; and (3) radiologists must attend theoretical and hands-on courses before interpreting prostate MRI. Limitations are that the results are expert opinions and not based on systematic reviews or meta-analyses. There was no consensus on outcomes statements of prostate MRI assessment as quality marker. CONCLUSIONS: An ESUR and ESUI expert panel showed high agreement (74%) on issues improving prostate MRI quality. Checking and reporting of image quality are mandatory. Prostate radiologists should attend theoretical and hands-on courses, followed by supervised education, and must perform regular performance assessments. KEY POINTS: • Multi-parametric MRI in the diagnostic pathway of prostate cancer has a well-established upfront role in the recently updated European Association of Urology guideline and American Urological Association recommendations. • Suboptimal image acquisition and reporting at an individual level will result in clinicians losing confidence in the technique and returning to the (non-MRI) systematic biopsy pathway. Therefore, it is crucial to establish quality criteria for the acquisition and reporting of mpMRI. • To ensure high-quality prostate MRI, experts consider checking and reporting of image quality mandatory. Prostate radiologists must attend theoretical and hands-on courses, followed by supervised education, and must perform regular self- and external performance assessments.

Imaging for Metastasis in Prostate Cancer: A Review of the Literature.

Background: Initial staging and assessment of treatment activity in metastatic prostate cancer (PCa) patients is controversial. Indications for the various available imaging modalities are not well-established due to rapid advancements in imaging and treatment. Methods: We conducted a critical literature review of the main imaging abnormalities that suggest a diagnosis of metastasis in localized and locally advanced PCa or in cases of biological relapse. We also assessed the role of the various imaging modalities available in routine clinical practice for the detection of metastases and response to treatment in metastatic PCa patients. Results: In published clinical trials, the most commonly used imaging modalities for the detection and evaluation of therapeutic response are bone scan, abdominopelvic computed tomography (CT), and pelvic and bone magnetic resonance imaging (MRI). For the detection and follow-up of metastases during treatment, modern imaging techniques i.e., choline-positron emission tomography (PET), fluciclovine-PET, or Prostate-specific membrane antigen (PSMA)-PET provide better sensitivity and specificity. This is particularly the case of fluciclovine-PET and PSMA-PET in cases of biochemical recurrence with low values of prostate specific antigen. Conclusions: In routine clinical practice, conventional imaging still have a role, and communication between imagers and clinicians should be encouraged. Present and future clinical trials should use modern imaging methods to clarify their usage.