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BACKGROUND: Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified through multiparametric magnetic resonance imaging (mpMRI), present a clinical challenge due to their equivocal nature in predicting clinically significant prostate cancer (csPCa). Aim of the study is to improve risk stratification of patients with PI-RADS 3 lesions and candidates for prostate biopsy. METHODS: A cohort of 4841 consecutive patients who underwent MRI and subsequent MRI-targeted and systematic biopsies between January 2016 and April 2023 were retrospectively identified from independent prospectively maintained database. Only patients who have PI-RADS 3 lesions were included in the final analysis. A multivariable logistic regression analysis was performed to identify covariables associated with csPCa defined as International Society of Urological Pathology (ISUP) grade group ≥2. Performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Significant predictors were then selected for further exploration using a Chi-squared Automatic Interaction Detection (CHAID) analysis. RESULTS: Overall, 790 patients had PI-RADS 3 lesions and 151 (19%) had csPCa. Significant associations were observed for age (OR: 1.1 [1.0-1.1]; p = 0.01) and PSA density (OR: 1643 [2717-41,997]; p < 0.01). The CHAID analysis identified PSAd as the sole significant factor influencing the decision tree. Cut-offs for PSAd were 0.13 ng/ml/cc (csPCa detection rate of 1% vs. 18%) for the two-nodes model and 0.09 ng/ml/cc and 0.16 ng/ml/cc for the three-nodes model (csPCa detection rate of 0.5% vs. 2% vs. 17%). CONCLUSIONS: For individuals with PI-RADS 3 lesions on prostate mpMRI and a PSAd below 0.13, especially below 0.09, prostate biopsy can be omitted, in order to avoid unnecessary biopsy and overdiagnosis of non-csPCa.
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PURPOSE: Magnetic resonance imaging (MRI) is a promising tool for risk assessment, potentially reducing the burden of unnecessary prostate biopsies. Risk prediction models that incorporate MRI data have gained attention, but their external validation and comparison are essential for guiding clinical practice. The aim is to externally validate and compare risk prediction models for the diagnosis of clinically significant prostate cancer (csPCa). METHODS: A cohort of 4606 patients across fifteen European tertiary referral centers were identified from a prospective maintained database between January 2016 and April 2023. Transrectal or transperineal image-fusion MRI-targeted and systematic biopsies for PI-RADS score of ≥ 3 or ≥ 2 depending on patient characteristics and physician preferences. Probabilities for csPCa, defined as International Society of Urological Pathology (ISUP) grade ≥ 2, were calculated for each patients using eight models. Performance was characterized by area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Subgroup analyses were performed across various clinically relevant subgroups. RESULTS: Overall, csPCa was detected in 2154 (47%) patients. The models exhibited satisfactory performance, demonstrating good discrimination (AUC ranging from 0.75 to 0.78, p < 0.001), adequate calibration, and high net benefit. The model described by Alberts showed the highest clinical utility for threshold probabilities between 10 and 20%. Subgroup analyses highlighted variations in models' performance, particularly when stratified according to PSA level, biopsy technique and PI-RADS version. CONCLUSIONS: We report a comprehensive external validation of risk prediction models for csPCa diagnosis in patients who underwent MRI-targeted and systematic biopsies. The model by Alberts demonstrated superior clinical utility and should be favored when determining the need for a prostate biopsy.
Subject(s)
Magnetic Resonance Imaging , Prostate , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/pathology , Prostatic Neoplasms/diagnostic imaging , Risk Assessment/methods , Aged , Magnetic Resonance Imaging/methods , Middle Aged , Prostate/pathology , Prostate/diagnostic imaging , Image-Guided Biopsy/methods , Predictive Value of TestsABSTRACT
PURPOSE: Utility of prostate-specific antigen density (PSAd) for risk-stratification to avoid unnecessary biopsy remains unclear due to the lack of standardization of prostate volume estimation. We evaluated the impact of ellipsoidal formula using multiparametric magnetic resonance (MRI) and semi-automated segmentation using tridimensional ultrasound (3D-US) on prostate volume and PSAd estimations as well as the distribution of patients in a risk-adapted table of clinically significant prostate cancer (csPCa). METHODS: In a prospectively maintained database of 4841 patients who underwent MRI-targeted and systematic biopsies, 971 met inclusions criteria. Correlation of volume estimation was assessed by Kendall's correlation coefficient and graphically represented by scatter and Bland-Altman plots. Distribution of csPCa was presented using the Schoots risk-adapted table based on PSAd and PI-RADS score. The model was evaluated using discrimination, calibration plots and decision curve analysis (DCA). RESULTS: Median prostate volume estimation using 3D-US was higher compared to MRI (49cc[IQR 37-68] vs 47cc[IQR 35-66], p < 0.001). Significant correlation between imaging modalities was observed (τ = 0.73[CI 0.7-0.75], p < 0.001). Bland-Altman plot emphasizes the differences in prostate volume estimation. Using the Schoots risk-adapted table, a high risk of csPCa was observed in PI-RADS 2 combined with high PSAd, and in all PI-RADS 4-5. The risk of csPCa was proportional to the PSAd for PI-RADS 3 patients. Good accuracy (AUC of 0.69 and 0.68 using 3D-US and MRI, respectively), adequate calibration and a higher net benefit when using 3D-US for probability thresholds above 25% on DCA. CONCLUSIONS: Prostate volume estimation with semi-automated segmentation using 3D-US should be preferred to the ellipsoidal formula (MRI) when evaluating PSAd and the risk of csPCa.
Subject(s)
Prostate-Specific Antigen , Prostate , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/pathology , Prostatic Neoplasms/diagnostic imaging , Prostate-Specific Antigen/blood , Aged , Middle Aged , Organ Size , Prostate/pathology , Prostate/diagnostic imaging , Risk Assessment , Image-Guided Biopsy/methods , Magnetic Resonance Imaging/methods , Clinical Decision-Making , Multiparametric Magnetic Resonance Imaging , Prospective StudiesABSTRACT
PURPOSE: Accurate prediction of extraprostatic extension (EPE) is crucial for decision-making in radical prostatectomy (RP), especially in nerve-sparing strategies. Martini et al. introduced a three-tier algorithm for predicting contralateral EPE in unilateral high-risk prostate cancer (PCa). The aim of the study is to externally validate this model in a multicentric European cohort of patients. METHODS: The data from 208 unilateral high-risk PCa patients diagnosed through magnetic resonance imaging (MRI)-targeted and systematic biopsies, treated with RP between January 2016 and November 2021 at eight referral centers were collected. The evaluation of model performance involved measures such as discrimination (AUC), calibration, and decision-curve analysis (DCA) following TRIPOD guidelines. In addition, a comparison was made with two established multivariable logistic regression models predicting the risk of side specific EPE for assessment purposes. RESULTS: Overall, 38%, 48%, and 14% of patients were categorized as low, intermediate, and high-risk groups according to Martini et al.'s model, respectively. At final pathology, EPE on the contralateral prostatic lobe occurred in 6.3%, 12%, and 34% of patients in the respective risk groups. The algorithm demonstrated acceptable discrimination (AUC 0.68), comparable to other multivariable logistic regression models (p = 0.3), adequate calibration and the highest net benefit in DCA. The limitations include the modest sample size, retrospective design, and lack of central revision. CONCLUSION: Our findings endorse the algorithm's commendable performance, supporting its utility in guiding treatment decisions for unilateral high-risk PCa patients.
Subject(s)
Prostatectomy , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/pathology , Prostatic Neoplasms/surgery , Aged , Middle Aged , Risk Assessment , Prostatectomy/methods , Retrospective Studies , Neoplasm Invasiveness , Algorithms , Extranodal Extension , Prostate/pathologyABSTRACT
BACKGROUND AND OBJECTIVE: A notable paradigm shift has emerged in the choice of prostate biopsy approach, with a transition from transrectal biopsy (TRBx) to transperineal biopsy (TPBx) driven by the lower risk of severe urinary tract infections. The impact of this change on detection of clinically significant prostate cancer (csPCa) remains a subject of debate. Our aim was to compare the csPCa detection rate of TRBx and TPBx. METHODS: Patients who underwent magnetic resonance imaging (MRI)-targeted and systematic biopsies for clinically localized PCa at 15 European referral centers from 2016 to 2023 were included. A propensity score matching (PSM) analysis was performed to minimize selection biases. Logistic regression models were used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). KEY FINDINGS AND LIMITATIONS: Of 3949 patients who met the study criteria, 2187 underwent TRBx and 1762 underwent TPBx. PSM resulted in 1301 matched pairs for analysis. Patient demographics and tumor characteristics were comparable in the matched cohorts. TPBx versus TRBx was associated with greater detection of csPCa, whether defined as International Society of Urological Pathology grade group ≥2 (51% vs 45%; OR 1.37, 95% CI 1.15-1.63; p = 0.001) or grade group ≥3 (29% vs 23%; OR 1.38, 95% CI 1.13-1.67; p = 0.001). Similar results were found when considering MRI-targeted biopsy alone and after stratifying patients according to tumor location, Prostate Imaging-Reporting and Data System score, and clinical features. Limitations include the retrospective nature of the study and the absence of centralized MRI review. CONCLUSIONS: Our findings bolster existing understanding of the additional advantages offered by TPBx. Further randomized trials to fully validate these findings are awaited. PATIENT SUMMARY: We compared the rate of detection of clinically significant prostate cancer with magnetic resonance imaging (MRI)-guided biopsies in which the sample needle is passed through the perineum or the rectum. Our results suggest that the perineal approach is associated with better detection of aggressive prostate cancer.
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INTRODUCTION: Treatments against urogenital cancers frequently have fertility side-effects. The strategy to preserve fertility after oncologic treatments is still a matter of debate with a lack of evidence and international guidelines. The aim of this study is to investigate fertility preservation practices before urogenital cancer treatments and to compare national habits. MATERIAL AND METHODS: An online anonymous survey was submitted from January to June 2021 to six European urological societies. The 31-items questionnaire included questions about demography, habits of evaluation, and management of fertility preservation in case of urogenital cancer treatments. RESULTS: Two hundred twenty-eight urologists from six urological societies in five different countries (Belgium, The Netherlands, Luxembourg, France, Finland) filled out the survey. Three quarter (74%; n = 166) usually propose a cryopreservation before orchidectomy. In case of oligo/azoo-spermia, the technique performed for the sperm extraction during orchidectomy varies among the sample: 70.5% (n = 160) of the responders do not perform a Testicular Sperm Extraction (TESE) nor a Percutaneous Epididymal Sperm Aspiration (PESA). The cryopreservation for prostate cancer treatments is never proposed in 48.17% (n = 105) of responders but conversely it is always proposed in 5.05% (n = 11). The cryopreservation before bladder cancer treatments is not commonly proposed (67.5%, n = 154). CONCLUSION: Our study showed variable country specific tendencies in terms of fertility preservation in the period of treatment of urological cancers. These differences seem to be related to national guidelines recommendations. Standardization of international guidelines is urgently needed in the field of fertility for urological cancer patients.
Subject(s)
Cryopreservation , Fertility Preservation , Urologic Neoplasms , Humans , Fertility Preservation/methods , Male , Europe , Urologic Neoplasms/therapy , Practice Patterns, Physicians'/statistics & numerical data , Urologists , Surveys and Questionnaires , Urology , AdultABSTRACT
BACKGROUND: Systematic biopsy (SB) combined with magnetic resonance imaging (MRI)-targeted biopsy is still recommended considering the risk of missing clinically significant prostate cancer (csPCa). OBJECTIVE: To evaluate the added value in csPCa detection on side-specific SB relative to MRI lesion and to externally validate the Noujeim risk stratification model that predicts the risk of csPCa on distant SB cores relative to the index MRI lesion. DESIGN, SETTING, AND PARTICIPANTS: Overall, 4841 consecutive patients diagnosed by MRI-targeted biopsy and SB for Prostate Imaging Reporting and Data System score ≥3 lesions were identified from a prospectively maintained database between January 2016 and April 2023 at 15 European referral centers. A total of 2387 patients met the inclusion criteria and were included in the analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: McNemar's test was used to compare the csPCa detection rate between several biopsy strategies including MRI-targeted biopsy, side-specific SB, and a combination of both. Model performance was evaluated in terms of discrimination using area under the receiver operation characteristic curve (AUC), calibration plots, and decision curve analysis. Clinically significant prostate cancer was defined as International Society of Urological Pathology grade group ≥2. RESULTS AND LIMITATIONS: Overall, the csPCa detection rate was 49%. Considering MRI-targeted biopsy as reference, the added values in terms of csPCa detection were 5.8% (relative increase of 13%), 4.2% (relative increase of 9.8%), and 2.8% (relative increase of 6.1%) for SB, ipsilateral SB, and contralateral SB, respectively. Only 35 patients (1.5%) exclusively had csPCa on contralateral SB (p < 0.001). Considering patients with csPCa on MRI-targeted biopsy and ipsilateral SB, the upgrading rate was 2% (20/961) using contralateral SB (p < 0.001). The Noujeim model exhibited modest performance (AUC of 0.63) when tested using our validation set. CONCLUSIONS: The added value of contralateral SB was negligible in terms of cancer detection and upgrading rates. The Noujeim model could be included in the decision-making process regarding the appropriate prostate biopsy strategy. PATIENT SUMMARY: In the present study, we collected a set of patients who underwent magnetic resonance imaging (MRI)-targeted and systematic biopsies for the detection of prostate cancer. We found that biopsies taken at the opposite side of the MRI suspicious lesion have a negligible impact on cancer detection. We also validate a risk stratification model that predicts the risk of cancer on biopsies beyond 10 mm from the initial lesion, which could be used in daily practice to improve the personalization of the prostate biopsy.
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INTRODUCTION: External radiotherapy is a major treatment for localized prostate cancer (PCa). Dose escalation to the whole prostate gland increases biochemical relapse-free survival but also acute and late toxicities. Dose escalation to the dominant index lesion (DIL) only is of growing interest. It requires a robust delineation of the DIL. In this context, we aimed to evaluate the inter-observer variability of DIL delineation. MATERIAL AND METHODS: Two junior radiologists and a senior radiation oncologist delineated DILs on 64 mpMRIs of patients with histologically confirmed PCa. For each mpMRI and each reader, eight individual DIL segmentations were delineated. These delineations were blindly performed from one another and resulted from the individual analysis of the T2, apparent diffusion coefficient (ADC), b2000, and dynamic contrast enhanced (DCE) sequences, as well as the analysis of combined sequences (T2ADC, T2ADCb2000, T2ADCDCE, and T2ADCb2000DCE). Delineation variability was assessed using the DICE coefficient, Jaccard index, Hausdorff distance measure, and mean distance to agreement. RESULTS: T2, ADC, T2ADC, b2000, T2 + ADC + b2000, T2 + ADC + DCE, and T2 + ADC + b2000 + DCE sequences obtained DICE coefficients of 0.51, 0.50, 0.54, 0.52, 0.54, 0.55, 0.53, respectively, which are significantly higher than the perfusion sequence alone (0.35, p < 0.001). The analysis of other similarity metrics lead to similar results. The tumor volume and PI-RADS classification were positively correlated with the DICE scores. CONCLUSION: Our study showed that the contours of prostatic lesions were more reproducible on certain sequences but confirmed the great variability of prostatic contours with a maximum DICE coefficient calculated at 0.55 (joint analysis of T2, ADC, and perfusion sequences).
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INTRODUCTION: While Prostate Imaging Reporting and Data System (PI-RADS) 4 and 5 lesions usually justify prostate biopsy (PBx), the management of a PI-RADS 3 lesion can be discussed. The aim of our study was to determine the optimal prostate-specific antigen density (PSAD) threshold and predictive factors of clinically significant prostate cancer (csPCa) in patients with a PI-RADS 3 lesion on MRI. PATIENTS AND METHODS: Using our prospectively maintained database, we conducted a monocentric retrospective study, including all patients with a clinical suspicious of prostate cancer (PCa), all of them had a PI-RADS 3 lesion on the mpMRI prior to PBx. Patients under active surveillance or displaying suspicious digital rectal examination were excluded. Clinically significant (csPCa) was defined as PCa with any ISUP grade group ≥ 2 (Gleason ≥ 3â¯+â¯4). RESULTS: We included 158 patients. The detection rate of csPCa was 22.2%. In case of PSAD ≤ 0.15 ng/ml/cm3, PBx would be omitted in 71.5% (113/158) of men at the cost of missing 15.0% (17/113) of csPCa. With a threshold of 0.15 ng/ml/cm3, the sensitivity and the specificity were 0.51 and 0.78 respectively. The positive predictive value was 0.40 and the negative predictive value was 0.85. According to multivariate analysis, age (ORâ¯=â¯1.10, CI95% 1.03-1.19, Pâ¯=â¯0.007), and PSAD ≥ 0.15 ng/ml/cm3 (ORâ¯=â¯3.59, CI95% 1.41-9.47, Pâ¯=â¯0.008) were independent predictive factors of csPCa. Previous negative PBx was negatively associated with csPCa (ORâ¯=â¯0.24, CI 95% 0.07-0.66, Pâ¯=â¯0.01). CONCLUSION: Our result suggests that the optimal PSAD threshold was 0.15 ng/ml/cm3. However, in this case omitting PBx in 71.5% of cases would be at the cost of missing 15.0% of csPCa. PSAD should not be used alone, other predictive factors as age and PBx history should also be considered in the discussion with the patient, to avoid PBx while missing few csPCa.
Subject(s)
Prostatic Neoplasms , Male , Humans , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/pathology , Prostate-Specific Antigen , Magnetic Resonance Imaging/methods , Retrospective Studies , Image-Guided Biopsy/methodsABSTRACT
PURPOSE: In diseases where there is no real consensus regarding treatment modalities, promoting shared decision-making can contribute to improving safety and quality of care. This is the case in low- or intermediate-risk localized prostate cancer (PC) treatment. The aim of this study was to investigate the preferences guiding men's decisions regarding the characteristics of the treatment strategies for PC to help physicians adopt a more patient-centered approach. METHODS: This prospective multicenter study used a discrete choice experiment (DCE). The attributes and the modalities were identified from a qualitative study and a literature review. Relative preferences were estimated using a logistic regression model. Interaction terms (demographic, clinical and socio-economic characteristics) were added to the model to assess heterogeneity in preferences. RESULTS: 652 men were enrolled in the study and completed a questionnaire with 12 pairs of hypothetical therapeutic alternatives between which they had to choose. Men's choices were significantly negatively influenced by the risk of impotence and urinary incontinence, death, and the length and frequency of care. They preferred treatments with a rescue possibility in case of deterioration or recurrence and the use of innovative technology. Surprisingly, the possibility of undergoing prostate ablation negatively influenced their choice. The results also highlighted differences in trade-offs according to socio-economic level. CONCLUSION: This study confirmed the importance of considering patients' preferences in the decision-making process. It appears essential to better understand these preferences to allow physicians to improve communication and promote case-by-case decision-making.
Subject(s)
Erectile Dysfunction , Prostatic Neoplasms , Urinary Incontinence , Male , Humans , Prospective Studies , Prostatic Neoplasms/drug therapy , Prognosis , Multicenter Studies as TopicABSTRACT
BACKGROUND: Suitable selection criteria for focal therapy (FT) are crucial to achieve success in localized prostate cancer (PCa). OBJECTIVE: To develop a multivariable model that better delineates eligibility for FT and reduces undertreatment by predicting unfavorable disease at radical prostatectomy (RP). DESIGN, SETTING, AND PARTICIPANTS: Data were retrospectively collected from a prospective European multicenter cohort of 767 patients who underwent magnetic resonance imaging (MRI)-targeted and systematic biopsies followed by RP in eight referral centers between 2016 and 2021. The Imperial College of London eligibility criteria for FT were applied: (1) unifocal MRI lesion with Prostate Imaging-Reporting and Data System score of 3-5; (2) prostate-specific antigen (PSA) ≤20 ng/ml; (3) cT2-3a stage on MRI; and (4) International Society of Urological Pathology grade group (GG) 1 and ≥6 mm or GG 2-3. A total of 334 patients were included in the final analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was unfavorable disease at RP, defined as GG ≥4, and/or lymph node invasion, and/or seminal vesicle invasion, and/or contralateral clinically significant PCa. Logistic regression was used to assess predictors of unfavorable disease. The performance of the models including clinical, MRI, and biopsy information was evaluated using the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis. A coefficient-based nomogram was developed and internally validated. RESULTS AND LIMITATIONS: Overall, 43 patients (13%) had unfavorable disease on RP pathology. The model including PSA, clinical stage on digital rectal examination, and maximum lesion diameter on MRI had an AUC of 73% on internal validation and formed the basis of the nomogram. Addition of other MRI or biopsy information did not significantly improve the model performance. Using a cutoff of 25%, the proportion of patients eligible for FT was 89% at the cost of missing 30 patients (10%) with unfavorable disease. External validation is required before the nomogram can be used in clinical practice. CONCLUSIONS: We report the first nomogram that improves selection criteria for FT and limits the risk of undertreatment. PATIENT SUMMARY: We conducted a study to develop a better way of selecting patients for focal therapy for localized prostate cancer. A novel predictive tool was developed using the prostate-specific antigen (PSA) level measured before biopsy, tumor stage assessed via digital rectal examination, and lesion size on magnetic resonance imaging (MRI) scans. This tool improves the prediction of unfavorable disease and may reduce the risk of undertreatment of localized prostate cancer when using focal therapy.
Subject(s)
Nomograms , Prostatic Neoplasms , Male , Humans , Prostate-Specific Antigen , Retrospective Studies , Prospective Studies , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Biopsy/methods , Magnetic Resonance Imaging/methodsABSTRACT
INTRODUCTION: Prostate adenocarcinoma (CaP) is the leading cancer in men. After curative treatment, from 27% to 53% of patients will experience biochemical recurrence (BR). With the development of focal therapies, precise early identification of recurrence's sites is of utmost importance in order to deliver individualized treatment on positive lesions. The aim of this study was to assess the detection rate (DR) of 68Ga-PSMA-11 positron emission tomography/computed tomography (PET/CT) in selected patients with prostate cancer BR and recent negative 18F-choline PET/CT. PATIENTS AND METHODS: We performed a retrospective analysis including all patients with CaP referred for BR with a negative 18F-choline PET/CT, and who underwent 68Ga-PSMA-11 PET/CT between October, 2018 and December, 2019. The overall DR of 68Ga-PSMA-11 PET/CT was calculated, and described according to BR characteristics especially PSA levels and velocity. Patients were followed up for at least 1 year. Patient management following 68Ga-PSMA-11 PET/CT and PSA levels evolution after treatment were also recorded. RESULTS: One hundred fifty-nine patients comprising 164 examinations were analyzed. The overall DR of 68Ga-PSMA-11 PET/CT for BR was 65.9% (95CI, 58.6-73.1). The DR was 52.5% (95CI, 39.9-65.0), 70.6% (95CI, 55.3-85.9), 70.4% (95CI, 53.1-87.6), and 78.6% (95CI, 66.2-91.0) for PSA levels between 0.2 and 0.49 ng/mL, 0.5 to 0.99 ng/mL, 1 to 1.99 ng/mL and PSA ≥ 2 ng/mL, respectively. The DR was 70.7% (95CI, 59.0-82.4) with a PSA doubling time (PSA-DT) ≤6 months and 65.2% (95CI, 55.5-74.9) with a PSA-DT >6 months. Around 3/4 of patients (75.9%) with a positive 68Ga-PSMA-11 PET/CT initiated treatment, including surgery (2.4%), stereotactic radiotherapy ± androgen deprivation therapy (ADT) (22%) or external conformational radiotherapy ± ADT (46.3%). Patient management changed in 43 cases (39.8%). CONCLUSION: Our study confirmed the ability of 68Ga-PSMA-11 PET/CT to detect occult biochemical recurrence, even in a selected population of CaP patients with negative 18F-choline PET/CT, even at low PSA levels.
Subject(s)
Positron Emission Tomography Computed Tomography , Prostatic Neoplasms , Male , Humans , Positron Emission Tomography Computed Tomography/methods , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/therapy , Prostatic Neoplasms/pathology , Prostate-Specific Antigen , Androgen Antagonists , Choline , Retrospective Studies , Neoplasm Recurrence, Local/diagnostic imaging , Neoplasm Recurrence, Local/pathology , Gallium RadioisotopesABSTRACT
INTRODUCTION: The urological community's opinion over the management of men being found with pathologically positive nodes (pN+) following radical prostatectomy (RP) performed with curative intent after preoperative negative conventional staging (cN0M0) has never been assessed. This remains crucial, especially considering the advent of novel imaging modalities. Our aim was to investigate the current opinion on management of pN+ cN0M0 prostate cancer (PCa) in the European urological community. METHODS: Following validation, a 31-item survey, complying with the Cherries checklist, was distributed using a web link from December 2021 to April 2022 to 10 urological societies mailing list. Social media (Twitter, Facebook) were also used. RESULTS: We received 253 replies. The majority were Urologists (96.8%), younger than 60 (90.5%); 5.2% did not have access to PET-scans; 78.9% believed pN+ is a multifaceted category; 10-years CSS was marked as 71 to 95% by 17.5%. Gold standard management was stated not being ADT by 80.8% and being RT±ADT by 52.3%. Early sRT±ADT was considered an option vs. aRT±ADT by 72.4%. In case of BCR 71% would perform and decide management based on PSMA-PET whilst 3.7% would not perform PSMA-PET. pN+ management is still unclear for 77.1%. On multivariate analysis PSMA-PET availability related to a lower and higher likelihood of considering aRT±ADT as standard and of considering early salvage versus aRT respectively (P < .05). CONCLUSIONS: The Urological community has an acceptable awareness of pN+ disease and management, although it may overestimate disease aggressiveness. The majority consider pN+ PCa as a multifaceted category and rely on a risk-adapted approach. Expectant compared to immediate upfront management and new imaging modalities are increasingly considered.
Subject(s)
Gallium Radioisotopes , Prostatic Neoplasms , Male , Humans , Positron Emission Tomography Computed Tomography/methods , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Prostate , Prostatectomy , Disease ManagementABSTRACT
BACKGROUND: Multiparametric magnetic resonance imaging (MRI) and MRI-targeted biopsy are nowadays recommended in the prostate cancer (PCa) diagnostic pathway. Ploussard and Mazzone have integrated these tools into novel risk classification systems predicting the risk of early biochemical recurrence (eBCR) in PCa patients who underwent radical prostatectomy (RP). We aimed to assess available risk classification systems and to define the best-performing. METHODS: Data on 1371 patients diagnosed by MRI-targeted biopsy and treated by RP between 2014 and 2022 at eight European tertiary referral centers were analyzed. Risk classifications systems included were the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) risk groups, the Cancer of the Prostate Risk Assessment (CAPRA) score, the International Staging Collaboration for Cancer of the Prostate (STAR-CAP) classification, the Ploussard and Mazzone models, and ISUP grade group. Kaplan-Meier analyses were used to compare eBCR among risk classification systems. Performance was assessed in terms of discrimination quantified using Harrell's c-index, calibration, and decision curve analysis (DCA). RESULTS: Overall, 152 (11%) patients had eBCR at a median follow-up of 31 months (interquartile range: 19-45). The 3-year eBCR-free survival rate was 91% (95% confidence interval [CI]: 89-93). For each risk classification system, a significant difference among survival probabilities was observed (log-rank test p < 0.05) except for NCCN classification (p = 0.06). The highest discrimination was obtained with the STAR-CAP classification (c-index 66%) compared to CAPRA score (63% vs. 66%, p = 0.2), ISUP grade group (62% vs. 66, p = 0.07), Ploussard (61% vs. 66%, p = 0.003) and Mazzone models (59% vs. 66%, p = 0.02), and EAU (57% vs. 66%, p < 0.001) and NCCN (57% vs. 66%, p < 0.001) risk groups. Risk classification systems demonstrated good calibration characteristics. At DCA, the CAPRA score showed the highest net benefit at a probability threshold of 9%-15%. CONCLUSIONS: The performance of risk classification systems using MRI and MRI-targeted information was less optimistic when tested in a contemporary set of patients. CAPRA score and STAR-CAP classification were the best-performing and should be preferred for treatment decision-making.
Subject(s)
Biopsy , Prostate-Specific Antigen , Prostatic Neoplasms , Humans , Male , Magnetic Resonance Imaging , Magnetic Resonance Spectroscopy , Prostatectomy/methods , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/surgery , Retrospective Studies , Risk Assessment/methodsABSTRACT
Although several studies have examined the relationship between organochlorine pesticides (OCPs) and prostate cancer (PCa) risk, no data are available concerning the association between OCPs concentrations in periprostatic adipose tissue (PPAT), which reflects cumulative exposure, and PCa aggressiveness. Moreover, no previous study has compared OCPs exposure in two distinct ethno-geographical populations. The objectives were to analyze OCPs in PPAT of PCa patients from either Mainland France or French West Indies in correlation with features of tumor aggressiveness, after adjusting for potential confounders such age, BMI, and polyunsaturated fatty acid (PUFA) content of PPAT. PPAT was analyzed in 160 patients (110 Caucasians and 50 African-Caribbeans), 80 with an indolent tumor (ISUP group 1 + pT2), and 80 with an aggressive tumor (ISUP group more than 3 + pT3). The concentrations of 29 OCPs were measured in PPAT concomitantly with the characterization of PUFA content. Exposure patterns of OCPs differed according to the ethno-geographical origin. Most OCPs were found at higher concentration in Caucasian patients, whereas pp'-DDE content was twice as high in African-Caribbeans. Chlordecone was only detected in PPAT from African-Caribbean patients. Most OCP concentrations were positively correlated with age, and some with BMI. After adjusting for age, BMI, and PUFA composition of PPAT, no significant association was found between OCPs content and risk of aggressive disease, except of mirex which appeared inversely associated with aggressive features of PCa in Caucasian patients. These results highlight a significant ethno-geographic variation in internal exposure to OCPs, which likely reflects differences in consumption patterns. The inverse relationship observed between mirex concentration and markers of PCa aggressiveness need to be further investigated.
Subject(s)
Hydrocarbons, Chlorinated , Pesticides , Prostatic Neoplasms , Male , Humans , Mirex , Hydrocarbons, Chlorinated/analysis , Pesticides/analysis , Adipose Tissue/chemistryABSTRACT
OBJECTIVES: To describe the clinico-pathological characteristics of non-muscle-invasive bladder cancer (NMIBC) treated in metropolitan France over 1 year when bacille Calmette-Guérin (BCG) was subject to a national quota, and to document, in the context of recurrent shortages of intravesical BCG for NMIBC, the real-life indications for adjuvant treatment. MATERIALS AND METHODS: Between February 2021 and February 2022, the French National Agency for the Safety of Medicines (ANSM) asked the French Association of Urology to propose a science-based quota solution for BCG using a clinical score. The ANSM then asked the distributor of the drug, MEDAC, to collect the scores for all patients for whom BCG was requested by healthcare institutions and to prioritize the requests for patients with the highest scores. Tumour stage, grade, size, number, time to recurrence, carcinoma in situ, age, accessibility of alternative treatments (total cystectomy, radio-chemotherapy, thermo-chemotherapy) and BCG treatment progress (initiation or maintenance) were documented for each intravesical BCG prescription. A descriptive analysis of the data collected during the quota year was performed. RESULTS: During the 1-year quota, 25 878 requests for BCG were made for 19 024 patients, 60.5% of whom were aged ≥70 years. Requests for induction and maintenance treatment accounted for 12 704 (49.1%) and 13 174 prescriptions (50.9%), respectively. NMIBC treated with BCG maintenance therapy was more frequently high-risk NMIBC (91.7% vs 90.2%; P < 0.0001) than NMIBC for which induction therapy was requested. The number of cases of NMIBC leading to BCG adjuvant treatment was estimated at 12 704 cases/66 062 188 inhabitants over 1 year in metropolitan France. CONCLUSIONS: Our data suggest that the incidence of NMIBC at high risk of recurrence and progression is underestimated in reference epidemiological studies. These results should help to better define future care needs.
Subject(s)
Non-Muscle Invasive Bladder Neoplasms , Urinary Bladder Neoplasms , Humans , Administration, Intravesical , Urinary Bladder Neoplasms/drug therapy , Urinary Bladder Neoplasms/pathology , Urinary Bladder/pathology , Adjuvants, Immunologic/therapeutic use , France/epidemiology , BCG Vaccine/therapeutic use , Neoplasm Invasiveness/pathology , Neoplasm Recurrence, Local/pathologyABSTRACT
PURPOSE: To assess the most efficient biopsy method to improve International Society of Urological Pathology (ISUP) grade group accuracy with final pathology of the radical prostatectomy (RP) specimen in the era of magnetic resonance imaging (MRI)-driven pathway. METHODS: A total of 753 patients diagnosed by transrectal MRI-targeted and systematic biopsies (namely "standard method"), treated by RP, between 2016 and 2021 were evaluated. Biopsy methods included MRI-targeted biopsy, side-specific systematic biopsies relative to index MRI lesion and combination of both. Number of MRI-targeted biopsy cores and positive cores needed per index MRI lesion were assessed. Multivariable analysis was performed to analyze predictive factors of upgrading using MRI targeted and ipsilateral systematic biopsies method. RESULTS: Overall, ISUP grade group accuracy varied among biopsy methods with upgrading rate of 35%, 49%, 27%, and 24% for MRI targeted, systematic, MRI targeted and ipsilateral systematic biopsies and standard methods, respectively (p < 0.001). A minimum of two positive MRI-targeted biopsies cores per index MRI lesion were required when testing MRI targeted and ipsilateral systematic biopsies method to reach equivalent accuracy compared to standard method. Omitting contralateral systematic biopsies spared an average of 5.9 cores per patient. At multivariable analysis, only the number of positive MRI-targeted biopsy cores per index MRI lesion was predictive of upgrading. CONCLUSION: MRI targeted and ipsilateral systematic biopsies allowed an accurate definition of ISUP grade group and appears to be an interesting alternative when compared with standard method, reducing total number of biopsy cores needed.
Subject(s)
Image-Guided Biopsy , Multiparametric Magnetic Resonance Imaging , Prostatic Neoplasms , Humans , Male , Image-Guided Biopsy/methods , Neoplasm Grading , Prostatectomy/methods , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgeryABSTRACT
CONTEXT: Surgical activity contributes to global warming though the production of greenhouse gases and consumption of resources. To date, no clinical practice guidelines have been made to promote and implement climate-smart actions. OBJECTIVE: To perform a systematic review of the available actions that could limit CO2 emission in the operating room (OR) and their potential benefits upon the environment, whilst preserving quality of care. EVIDENCE ACQUISITION: MEDLINE and Cochrane databases were searched from January 1, 1990 to April 2021. We included studies assessing carbon footprint (CF) in the OR and articles detailing actions that limit or reduce CF. EVIDENCE SYNTHESIS: Thirty-eight studies met the inclusion criteria. We identified six core climate-smart actions: (1) waste reduction by segregation; (2) waste reduction by recycling, reuse, and reprocessing; (3) sterilisation; (4) anaesthesia gas management; and (5) improvement of energy use. Quantitative analysis regarding the CF was not possible due to the lack of homogeneous data. For climate-smart actions, the analysis was limited by discrepancies in study scope and in the methodology of CO2 emission calculation. Improvement of education and awareness was found to have an important impact on waste segregation and reduction. Waste management is the area where health care workers could have the strongest impact, whereas the main field to reduce CF in the OR was found to be energy consumption. CONCLUSIONS: This review provides arguments for many climate-smart actions that could be implemented in our daily practice. Improving awareness and education are important to act collectively in a sustainable way. Further studies are mandatory to assess the impact of these climate-smart actions in the OR. PATIENT SUMMARY: We performed a systematic review of the available scientific literature to reference all the climate-smart actions proposed to improve the sustainability of surgical activities. Waste segregation, waste reduction and recycling, reuse and reprocessing, sterilisation, anaesthesia gas changes, and improvement of energy use in the operating room were found to be the main areas of research. There is still a long way to go to homogenise and improve the quality of our climate-smart actions.
Subject(s)
Carbon Footprint , Operating Rooms , Environment , Waste ManagementABSTRACT
Models predicting the risk of adverse pathology (ie, International Society of Urological Pathology [ISUP] grade group ≥3, pT3, and/or pN1) among patients operated by radical prostatectomy (RP) have been proposed to expand active surveillance (AS) inclusion criteria. We aimed to test these models in a set of 1062 low-risk and favorable intermediate-risk prostate cancer (PCa) patients diagnosed by multiparametric magnetic resonance imaging (MRI) and MRI-targeted biopsy. We hypothesized that the inclusion of radiological features into a novel model would improve patient selection. Performance was assessed using discrimination, calibration, and decision curve analysis (DCA). Available models were characterized by poor discrimination (areas under the receiver operating characteristic curve [AUCs] of 59% and 60%), underestimation of predicted risk on calibration plots, and a small amount of net benefit against a probability threshold of 40-50% at the DCA. The development of a novel model slightly improved discrimination (AUC of 63% vs 59%, p = 0.001, and 63% vs 60%, p = 0.07) and net benefit against threshold probabilities of ≥30%. This first multicenter study demonstrated the poor performance of models predicting adverse pathology and that implementation of MRI and MRI-targeted biopsy in this setting was not associated with a clear improvement in patient selection. Patients harboring low-risk or favorable intermediate-risk PCa and candidates for RP cannot be referred accurately to an AS program without a non-negligible risk of misclassification. PATIENT SUMMARY: We tested prediction models that could expand the selection of prostate cancer patients for active surveillance. Models were inaccurate and associated with a high risk of misclassification despite the implementation of multiparametric magnetic resonance imaging and targeted biopsies.
Subject(s)
Multiparametric Magnetic Resonance Imaging , Prostatic Neoplasms , Male , Humans , Watchful Waiting , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Biopsy , Prostate/diagnostic imaging , Prostate/pathologyABSTRACT
BACKGROUND: Predicting the risk of side-specific extracapsular extension (ECE) is essential for planning nerve-sparing radical prostatectomy (RP) in patients with prostate cancer (PCa). OBJECTIVE: To externally validate available models for prediction of ECE. DESIGN, SETTING, AND PARTICIPANTS: Sixteen models were assessed in a cohort of 737 consecutive PCa patients diagnosed via multiparametric magnetic resonance imaging (MRI)-targeted and systematic biopsies and treated with RP between January 2016 and November 2021 at eight referral centers. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Model performance was evaluated in terms of discrimination using area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis (DCA). RESULTS AND LIMITATIONS: Overall, ECE was identified in 308/1474 (21%) prostatic lobes. Prostatic lobes with ECE had higher side-specific clinical stage on digital rectal examination and MRI, number of positive biopsy cores, and International Society of Urological Pathology grade group in comparison to those without ECE (all p < 0.0001). Less optimistic performance was observed in comparison to previous published studies, although the models described by Pak, Patel, Martini, and Soeterik achieved the highest accuracy (AUC ranging from 0.73 to 0.77), adequate calibration for a probability threshold <40%, and the highest net benefit for a probability threshold >8% on DCA. Inclusion of MRI-targeted biopsy data and MRI information in models improved patient selection and clinical usefulness. Using model-derived cutoffs suggested by their authors, approximately 15% of positive surgical margins could have been avoided. Some available models were not included because of missing data, which constitutes a limitation of the study. CONCLUSIONS: We report an external validation of models predicting ECE and identified the four with the best performance. These models should be applied for preoperative planning and patient counseling. PATIENT SUMMARY: We validated several tools for predicting extension of prostate cancer outside the prostate gland. These tools can improve patient selection for surgery that spares nerves affecting recovery of sexual potency after removal of the prostate. They could potentially reduce the risk of finding cancer cells at the edge of specimens taken for pathology, a finding that suggests that not all of the cancer has been removed.