A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma.

PURPOSE: To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC). METHODS: Digitised haematoxylin and eosin-stained slides from The Cancer Genome Atlas were used as a training set for a vision transformer (ViT) to extract image features with a self-supervised model called DINO (self-distillation with no labels). Extracted features were used in Cox regression models to prognosticate OS and DSS. Kaplan-Meier for univariable evaluation and Cox regression analyses for multivariable evaluation of the DINO-ViT risk groups were performed for prediction of OS and DSS. For validation, a cohort from a tertiary care centre was used. RESULTS: A significant risk stratification was achieved in univariable analysis for OS and DSS in the training (n = 443, log rank test, p < 0.01) and validation set (n = 266, p < 0.01). In multivariable analysis, including age, metastatic status, tumour size and grading, the DINO-ViT risk stratification was a significant predictor for OS (hazard ratio [HR] 3.03; 95%-confidence interval [95%-CI] 2.11-4.35; p < 0.01) and DSS (HR 4.90; 95%-CI 2.78-8.64; p < 0.01) in the training set but only for DSS in the validation set (HR 2.31; 95%-CI 1.15-4.65; p = 0.02). DINO-ViT visualisation showed that features were mainly extracted from nuclei, cytoplasm, and peritumoural stroma, demonstrating good interpretability. CONCLUSION: The DINO-ViT can identify high-risk patients using histological images of ccRCC. This model might improve individual risk-adapted renal cancer therapy in the future.

When attitudes and beliefs get in the way of shared decision-making: A mediation analysis of participation preference.

INTRODUCTION: Certain sociodemographic characteristics (e.g., older age) have previously been identified as barriers to patients' participation preference in shared decision-making (SDM). We aim to demonstrate that this relationship is mediated by the perceived power imbalance that manifests itself in patients' negative attitudes and beliefs about their role in decision-making. METHODS: We recruited a large sample (N = 434) of outpatients with a range of urological diagnoses (42.2% urooncological). Before the medical consultation at a university hospital, patients completed the Patients' Attitudes and Beliefs Scale and the Autonomy Preference Index. We evaluated attitudes as a mediator between sociodemographic factors and participation preference in a path model. RESULTS: We replicated associations between relevant sociodemographic factors and participation preference. Importantly, attitudes and beliefs about one's own role as a patient mediated this relationship. The mediation path model explained a substantial proportion of the variance in participation preference (27.8%). Participation preferences and attitudes did not differ for oncological and nononcological patients. CONCLUSION: Patients' attitudes and beliefs about their role determine whether they are willing to participate in medical decision-making. Thus, inviting patients to participate in SDM should encompass an assessment of their attitudes and beliefs. Importantly, negative attitudes may be accessible to change. Unlike stable sociodemographic characteristics, such values are promising targets for interventions to foster more active participation in SDM. PATIENT OR PUBLIC CONTRIBUTION: This study was part of a larger project on implementing SDM in urological practice. Several stakeholders were involved in the design, planning and conduction of this study, for example, three authors are practising urologists, and three are psychologists with experience in patient care. In addition, the survey was piloted with patients, and their feedback was integrated into the questionnaire. The data presented in this study is based on patients' responses. Results may help to empower our patients.

Patient Compliance in Assessing Electronic Patient-Reported Outcome Measures after Urologic Surgery.

INTRODUCTION: This study aimed to assess patient compliance with a newly established electronic patient-reported outcome measure (ePROM) system after urologic surgery and to identify influencing factors. METHODS: Digital surveys were provided to patients undergoing cystectomy, radical or partial nephrectomy, or transurethral resection of bladder tumor via a newly established ePROM system. Participants received a baseline survey preoperatively and several follow-up surveys postoperatively. Multivariable regression analysis was performed to identify factors predicting compliance. RESULTS: Of N = 435 eligible patients, n = 338 completed the baseline survey (78.0%). Patients who did not participate were significantly more likely male (p = 0.004) and older than 70 years (p = 0.005). Overall, 206/337 patients (61.3%) completed the survey at 1-month, 167/312 (53.5%) at 3-month, and 142/276 (51.4%) at 6-month follow-up. Lower baseline quality of life (odds ratio: 2.27; p = 0.004) was a significant predictor for dropout at 1-month follow-up. Low educational level was significantly associated with low compliance at 3- (OR: 1.92; p = 0.01) and 6-month follow-up (OR: 2.88; p < 0.001). CONCLUSION: Acceptable compliance rates can be achieved with ePROMs following urologic surgery. Several factors influence compliance and should be considered when setting-up ePROM surveys.

Getting specific: participation preference in urooncological decision-making.

BACKGROUND: Shared decision-making is the gold standard for good clinical practice, and thus, psychometric instruments have been established to assess patients' generic preference for participation (e.g., the Autonomy Preference Index, API). However, patients' preferences may vary depending on the specific disease and with respect to the specific decision context. With a modified preference index (API-Uro), we assessed patients' specific participation preference in preference-sensitive decisions pertaining to urological cancer treatments and compared this with their generic participation preference. METHODS: In Study 1, we recruited (N = 469) urological outpatients (43.1% urooncological) at a large university hospital. Participation preference was assessed with generic measures (API and API case vignettes) and with the disease-specific API-Uro (urooncological case vignettes describing medical decisions of variable difficulty). A polychoric exploratory factor analysis was used to establish factorial validity and reduce items. In Study 2, we collected data from N = 204 bladder cancer patients in a multicenter study to validate the factorial structure with confirmatory factor analysis. Differences between the participation preference for different decision contexts were analyzed. RESULTS: Study 1: Scores on the specific urooncological case vignettes (API-Uro) correlated with the generic measure (r = .44) but also provided incremental information. Among the disease-specific vignettes of the API-Uro, there were two factors with good internal consistency (α ≥ .8): treatment versus diagnostic decisions. Patients desired more participation for treatment decisions (77.8%) than for diagnostic decisions (22%), χ2(1) = 245.1, p ≤ .001. Study 2: Replicated the correlation of the API-Uro with the API (r = .39) and its factorial structure (SRMR = .08; CFI = .974). Bladder cancer patients also desired more participation for treatment decisions (57.4%) than for diagnostic decisions (13.3%), χ²(1) =84, p ≤ .001. CONCLUSIONS: The desire to participate varies between treatment versus diagnostic decisions among urological patients. This underscores the importance of assessing participation preference for specific contexts. Overall, the new API-Uro has good psychometric properties and is well suited to assess patients' preferences. In routine care, measures of participation preference for specific decision contexts may provide incremental, allowing clinicians to better address their patients' individual needs.

Single- vs multiple-layer wound closure for flank incisions: results of a prospective, randomised, double-blinded multicentre study.

OBJECTIVE: To compare the incidence of postoperative flank bulges between patients with multiple-layer closure and single superficial-layer closure after retroperitoneal surgery via open flank incision in the SIngle versus MUltiple-LAyer wound Closure for flank incision (SIMULAC) trial. PATIENTS AND METHODS: The study was a randomised controlled, patient- and assessor-blinded, multicentre trial. Between May 2015 and February 2017, 225 patients undergoing flank incisions were randomised 1:1 to a multiple-layer closure (SIMULAC-I) or a single superficial-layer closure (SIMULAC-II) group. The primary outcome was the occurrence of a flank bulge 6 months after surgery. RESULTS: Overall, 177 patients (90 in SIMULAC-I, 87 in SIMULAC-II) were eligible for final assessment. The cumulative incidence of a flank bulge was significantly higher in the SIMULAC-II group (51.7%) compared to the SIMULAC-I group [34.4%; odds ratio (OR) 2.04, 95% confidence interval (CI) 1.11-3.73; P = 0.02]. Rate of severe postoperative complications (4.4% SIMULAC-I vs 10.3% SIMULAC-II; P = 0.21) or hernia (6.7% SIMULAC-I vs 10.3% SIMULAC-II; P = 0.59) was similar between the groups. There was no difference in pain (visual analogue scale) and the requirement for pain medication at 6 months postoperatively. Quality of life assessed with the European Quality of Life 5 Dimensions Questionnaire was higher in the SIMULAC-I group compared to the SIMULAC-II group at 6 months postoperatively, with a (median range) score of 80 (30-100) vs 75 (5-100) (P = 0.012). CONCLUSION: The overall risk of a flank bulge after flank incision is high. Multiple-layer closure after flank incision should be performed as a standard procedure.

Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer.

OBJECTIVE: To develop a new digital biomarker based on the analysis of primary tumour tissue by a convolutional neural network (CNN) to predict lymph node metastasis (LNM) in a cohort matched for already established risk factors. PATIENTS AND METHODS: Haematoxylin and eosin (H&E) stained primary tumour slides from 218 patients (102 N+; 116 N0), matched for Gleason score, tumour size, venous invasion, perineural invasion and age, who underwent radical prostatectomy were selected to train a CNN and evaluate its ability to predict LN status. RESULTS: With 10 models trained with the same data, a mean area under the receiver operating characteristic curve (AUROC) of 0.68 (95% confidence interval [CI] 0.678-0.682) and a mean balanced accuracy of 61.37% (95% CI 60.05-62.69%) was achieved. The mean sensitivity and specificity was 53.09% (95% CI 49.77-56.41%) and 69.65% (95% CI 68.21-71.1%), respectively. These results were confirmed via cross-validation. The probability score for LNM prediction was significantly higher on image sections from N+ samples (mean [SD] N+ probability score 0.58 [0.17] vs 0.47 [0.15] N0 probability score, P = 0.002). In multivariable analysis, the probability score of the CNN (odds ratio [OR] 1.04 per percentage probability, 95% CI 1.02-1.08; P = 0.04) and lymphovascular invasion (OR 11.73, 95% CI 3.96-35.7; P < 0.001) proved to be independent predictors for LNM. CONCLUSION: In our present study, CNN-based image analyses showed promising results as a potential novel low-cost method to extract relevant prognostic information directly from H&E histology to predict the LN status of patients with prostate cancer. Our ubiquitously available technique might contribute to an improved LN status prediction.

Patients' perspective on shared decision-making in urology: a prospective study at a university hospital.

PURPOSE: This study aims to determine the degree of shared decision-making (SDM) from urological patients' perspective and to identify possible predictors. METHODS: Overall, 469 urological patients of a university outpatient clinic were recruited for this prospective study. Before a medical consultation, clinical and sociodemographic information, and patients' emotional distress were assessed by questionnaires. After the consultation, patients completed the SDM-Questionnaire-9 (SDM-Q-9). The SDM-Q-9 scores of relevant subgroups were compared. Logistic regression was used to identify patients at risk for experiencing low involvement (SDM-Q-9 total score ≤ 66) in SDM. RESULTS: Data from 372 patients were available for statistical analyses. The SDM-Q-9 mean total score was 77.8 ± 20.6. The majority of patients (n = 271, 73%) experienced a high degree of involvement (SDM-Q-9 total score > 66). The mean score per SDM-Q-9 item was in the upper range (3.9 ± 1.4 out of 5). The most poorly rated item was "My doctor wanted to know how I want to be involved in decision-making" (3.5 ± 1.6). Immigration status (OR 3.7, p = 0.049), and nonscheduled hospital registration (OR 2.1, p = 0.047) were significant predictors for less perceived involvement. Comorbidity, oncological status, and emotional distress did not significantly predict perceived participation. CONCLUSION: In a university hospital setting, most urological patients feel adequately involved in SDM. Nevertheless, urologists should routinely ask for patients' participation preference. Patients without a scheduled appointment and patients who immigrated may need more support to feel involved in SDM.

Validation of a German translation of the CARE questionnaire and its implementation as electronic PROM to assess patient-reported postoperative convalescence and recovery after major urological surgery.

PURPOSE: To validate a German translation of the convalescence and recovery evaluation (CARE) as an electronic patient-reported outcome measure (ePROM) and use it to assess recovery after major urological surgery. METHODS: The CARE questionnaire was provided to patients scheduled for major urological surgery preoperatively, at discharge and 6 weeks postoperatively, using an ePROM system. Cronbach's alpha, inter-scale correlations and confirmatory factor analysis (CFA) were used to validate the translation. Mixed linear regression models were used to identify factors influencing CARE results, and a multivariable logistic regression analysis was done to determine the predictive value of CARE results on quality of life (QoL). RESULTS: A total of 283 patients undergoing prostatectomy (n = 146, 51%), partial/radical nephrectomy (n = 70, 25%) or cystectomy (n = 67, 24%) responded to the survey. Internal consistency was high (α = 0.649-0.920) and the CFA showed a factor loading > 0.5 in 17/27 items. Significant main effects were found for the time of survey and type of surgery, while a time by type interaction was only found for the gastrointestinal subscale ([Formula: see text] = 30.37, p < 0.0001) and the total CARE score (TCS) ([Formula: see text] = 13.47, p = 0.009) for cystectomy patients, meaning a greater score decrease at discharge and lower level of recovery at follow-up. Complications demonstrated a significant negative effect on the TCS ([Formula: see text] = 8.61, p = 0.014). A high TCS at discharge was an independent predictor of a high QLQ-C30 QoL score at follow-up (OR = 5.26, 95%-CI 1.42-19.37, p = 0.013). CONCLUSION: This German translation of the CARE can serve as a valid ePROM to measure recovery and predict QoL after major urological surgery.

Are there limits of robotic partial nephrectomy? TRIFECTA outcomes of open and robotic partial nephrectomy for completely endophytic renal tumors.

BACKGROUND: To compare the outcomes of robot-assisted (RAPN) and open partial nephrectomy (OPN) for completely endophytic renal tumors. METHODS: Consecutive patients undergoing OPN or RAPN for entirely endophytic tumors in four high-volume centers between 2008 and 2016 were identified. Endophytic masses were identified based on sectional imaging. Patient characteristics and surgical outcome were compared using Mann-Whitney-U-test and chi-squared-tests. Uni- and multivariate analyses were performed to identify predictors of TRIFECTA achievement and excisional volume loss. RESULTS: Out of 1128 patients, 10.9% (64) of RAPN and 13.9% (76) of OPN underwent surgery for entirely endophytic tumors. Operative time was longer for RAPN (169 vs 140 min, P = 0.03) while ischemia time was shorter (13 vs 18 min, P = 0.001). Complication rates were comparable (21% OPN vs 22% RAPN, P = 0.91) and TRIFECTA achievement was not different between the groups (68% OPN vs 75% RAPN, P = 0.39). In multivariate analyses type of surgery was not associated with TRIFECTA achievement or excisional volume loss. Here, only tumor complexity (OR 0.48, P = 0.001) and size (OR 1.01, P = 0.002) were independent predictors. CONCLUSION: For entirely endophytic tumors, both RAPN and OPN offer good TRIFECTA achievement. This encourages the use of NSS even for these highly complex tumors using the surgeon's preferred approach.

Tumor size and invasiveness matters for partial nephrectomy: External validation and modification of the arterial based complexity score.

BACKGROUND: Outcome of partial nephrectomy (PN) depends on anatomic features of the renal tumor, which can be assessed by nephrometry scores. The aim was to externally validate and refine the Arterial Based Complexity (ABC) score and to compare it to established systems. METHODS: Tumors of 300 patients undergoing PN were categorized according to the ABC, RENAL, and PADUA score. Size and tumor invasiveness were combined to form the ABCD score. Correlation analysis and multivariate logistic regression was performed to validate and compare the respective scores as predictors of surgical outcome. RESULTS: The ABC score shows significant correlation with ischemia time (IT) (P < 0.01), opening of the collecting system (CS) (P < 0.01), and conversion to nephrectomy (P = 0.01). In the multivariate analysis, the ABC score was predictive for on-clamp excision (P < 0.01) and opening of the CS (P < 0.01) only. The RENAL and ABCD scores were independent predictors for complications (P = 0.02, P = 0.05), IT (P < 0.01, P = 0.03), on clamp excision (P < 0.01, P < 0.01), and opening of the CS (P < 0.01, P < 0.01). CONCLUSIONS: The ABC score correlates well with surgical parameters. Expanding the score by tumor diameter gives the ABCD system. It has similar predictive effectiveness to the well-established RENAL score, but features simplicity by only assessing invasiveness and tumor size.

Drain placement can safely be omitted for open partial nephrectomy: Results from a prospective randomized trial.

OBJECTIVES: To examine the benefit of drain placement during open partial nephrectomy. METHODS: Overall, 106 patients treated with open partial nephrectomy were enrolled in a prospective randomized trial. Based on the randomization, a drain was placed or omitted. Complications were assessed according to the Clavien classification. Pain level and requirement for analgesics was evaluated according to a customized pattern. RESULTS: There was no significant difference in the two groups regarding age, body mass index, American Society of Anesthesiologists score, tumor size and nephrometry (preoperative aspects and dimensions used for an anatomical classification). In terms of overall and drain-related complications, no advantage of placing a drain could be proven (P = 0.249). Patients with a drain suffered from a significantly higher pain level (P = 0.01) and showed prolonged mobilization (P < 0.001). There was no difference in bowel movements and requirement of additional analgesics (P = 0.347 and 0.11). CONCLUSIONS: The results of the study suggest that drain placement during open partial nephrectomy can safely be omitted, even in cases with violation of the collecting system.

Ablative efficiency of 532-nm laser vaporization compared to transurethral resection of the prostate: results from a prospective three-dimensional ultrasound volumetry study.

PURPOSE: To assess and compare postoperative prostate volume changes following 532-nm laser vaporization (LV) and transurethral resection of the prostate (TURP). To investigate whether differences in volume reduction are associated with differences in clinical outcome. METHODS: In this prospective, non-randomized study, 184 consecutive patients undergoing 120 W LV (n = 98) or TURP (n = 86) were included. Transrectal three-dimensional ultrasound and planimetric volumetry of the prostate were performed preoperatively, after catheter removal, 6 weeks, 6 and 12 months. Additionally, clinical outcome parameters were recorded. Mann-Whitney U test and analysis of covariance were utilized for statistical analysis. RESULTS: Postoperatively, a significant prostate volume reduction was detectable in both groups. However, the relative volume reduction was lower following LV (18.4 vs. 34.7 %, p < 0.001). After 6 weeks, prostate volumes continued to decrease in both groups, yet differences between the groups were less pronounced. Nonetheless, the relative volume reduction remained significantly lower following LV (12 months 43.3 vs. 50.3 %, p < 0.001). All clinical outcome parameters improved significantly in both groups. However, the maximum flow rate (Q max) and prostate-specific antigen (PSA) reduction were significantly lower following LV. Subgroup analyses revealed significant differences only if the initial prostate volume was >40 ml. Re-operations were necessary in three patients following LV. CONCLUSIONS: The modest but significantly lower volume reduction following LV was associated with a lower PSA reduction, a lower Q max and more re-operations. Given the lack of long-term results after LV, our results are helpful for preoperative patient counseling. Patients with large prostates and no clear indication for the laser might not benefit from the procedure.

Biophotonics-Intraoperative Guidance During Partial Nephrectomy: A Systematic Review and Meta-analysis.

CONTEXT: Partial nephrectomy (PN) with intraoperative guidance by biophotonics has the potential to improve surgical outcomes due to higher precision. However, its value remains unclear since high-level evidence is lacking. OBJECTIVE: To provide a comprehensive analysis of biophotonic techniques used for intraoperative real-time assistance during PN. EVIDENCE ACQUISITION: We performed a comprehensive database search based on the PICO criteria, including studies published before October 2022. Two independent reviewers screened the titles and abstracts followed by full-text screening of eligible studies. For a quantitative analysis, a meta-analysis was conducted. EVIDENCE SYNTHESIS: In total, 35 studies were identified for the qualitative analysis, including 27 studies on near-infrared fluorescence (NIRF) imaging using indocyanine green, four studies on hyperspectral imaging, two studies on folate-targeted molecular imaging, and one study each on optical coherence tomography and 5-aminolevulinic acid. The meta-analysis investigated seven studies on selective arterial clamping using NIRF. There was a significantly shorter warm ischemia time in the NIRF-PN group (mean difference [MD]: -2.9; 95% confidence interval [CI]: -5.6, -0.1; p = 0.04). No differences were noted regarding transfusions (odds ratio [OR]: 0.5; 95% CI: 0.2, 1.7; p = 0.27), positive surgical margins (OR: 0.7; 95% CI: 0.2, 2.0; p = 0.46), or major complications (OR: 0.4; 95% CI: 0.1, 1.2; p = 0.08). In the NIRF-PN group, functional results were favorable at short-term follow-up (MD of glomerular filtration rate decline: 7.6; 95% CI: 4.6, 10.5; p < 0.01), but leveled off at long-term follow-up (MD: 7.0; 95% CI: -2.8, 16.9; p = 0.16). Remarkably, these findings were not confirmed by the included randomized controlled trial. CONCLUSIONS: Biophotonics comprises a heterogeneous group of imaging modalities that serve intraoperative decision-making and guidance. Implementation into clinical practice and cost effectiveness are the limitations that should be addressed by future research. PATIENT SUMMARY: We reviewed the application of biophotonics during partial removal of the kidney in patients with kidney cancer. Our results suggest that these techniques support the surgeon in successfully performing the challenging steps of the procedure.

Framework for a living systematic review and meta-analysis for the surgical treatment of bladder cancer: introducing EVIglance to urology.

Background: Knowledge of current and ongoing studies is critical for identifying research gaps and enabling evidence-based decisions for individualized treatment. However, the increasing number of scientific publications poses challenges for healthcare providers and patients in all medical fields to stay updated with the latest evidence. To overcome these barriers, we aim to develop a living systematic review and open-access online evidence map of surgical therapy for bladder cancer (BC), including meta-analyses. Methods: Following the guidelines provided in the Cochrane Handbook for Systematic Reviews of Interventions and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, a systematic literature search on uro-oncological therapy in BC will be performed across various literature databases. Within the scope of a meta-analysis and living systematic review, relevant randomized controlled trials will be identified. Data extraction and quantitative analysis will be conducted, along with a critical appraisal of the quality and risk of bias of each study. The available research evidence will be entered into an open-access framework (www.evidencemap.surgery) and will also be accessible via the EVIglance app. Regular semi-automatic updates will enable the implementation of a real-living review concept and facilitate resource-efficient screening. Discussion: A regularly updated evidence map provides professionals and patients with an open-access knowledge base on the current state of research, allowing for decision-making based on recent evidence. It will help identify an oversupply of evidence, thus avoiding redundant work. Furthermore, by identifying research gaps, new hypotheses can be formulated more precisely, enabling planning, determination of sample size, and definition of endpoints for future trials.

Digital Therapeutics in Urology: An Innovative Approach to Patient Care and Management.

Digital therapeutics (DTx) are a new class of intervention involving evidence-based software applications and have been used in neurology and psychiatry. To assess the potential of DTx in urology, we conducted a survey to assess the current prevalence of the digital infrastructure required for DTx, areas of support expected by patients, and requirements for uptake. Between November 2022 and January 2023, we conducted an anonymized survey at two German academic centers among patients with urologic conditions. We found that among patients aged <65 yr versus ≥65 yr, digital devices including smartphones (93.6% vs 77.3%; p < 0.001), computers (80.4% vs 70.1%; p < 0.001), tablets (51.7% vs 38.1%; p < 0.001), and smartwatches (24.7% vs 7.7%; p < 0.001) are already widely used, especially in the younger age group. Apps (95.6% vs 74.4%; p < 0.001) and health apps (57.6% vs 30.4%; p < 0.001) are already frequently used, but certified DTx apps are not (7.3% vs 5.4%; p = 0.25). Patients favor solutions that provide access to validated information (49.6%), give medical advice based on data or symptoms captured by the app (43.0%), or replace a physiotherapist (41.7%). Patients feel that optimization of therapy (78.4%), significant positive health outcomes (76.9%), and better patient autonomy (73.4%) are important requirements for DTx in urology. Regulatory and reimbursement changes mean that DTx might play an increasing role in urology. Patient summary: Patients can use digital therapeutics (DTx), which are mainly smartphone apps, to improve their health status or treat medical conditions. We assessed the current and future use of DTx in urology. Patients are already widely using smartphones and frequently use uncertified health apps, but do not use DTx. Patients would like to use DTx to optimize therapy that provides a significant health improvement.

Decision Aids for Shared Decision-making in Uro-oncology: A Systematic Review.

CONTEXT: Decision aids (DAs) aim to support patients in the process of shared decision-making for complex treatment decisions. To improve patient-centered care in uro-oncology, it is essential to evaluate the availability and quality of existing DAs. OBJECTIVE: To assess the quality of existing DAs for patients across the most prevalent uro-oncological entities. EVIDENCE ACQUISITION: This study was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines. A systematic literature search (MedLine, Cochrane Library, Web of Science Core Collection, and CCMed) was conducted to identify DAs for treatment decisions for patients with prostate, renal, or bladder cancer. All studies reporting on the development or evaluation of DAs were included. The DAs were examined based on the International Patient Decision Aid Standards (IPDAS) and the evaluation studies were compared in accordance with Standards for Universal reporting of a patient Decision Aid Evaluations (SUNDAE). EVIDENCE SYNTHESIS: The literature search identified 1995 potentially relevant publications. Thirty-two studies reporting on 25 DAs met the inclusion criteria. Twenty-two DAs address prostate cancer, two renal tumor, and one bladder cancer. In the majority of DAs (n = 20), patients can enter individual data. A few (n = 6) DAs allow for personalization using a risk-adapted presentation of treatment options. The percentage of IPDAS criteria met in DAs ranged between 50% and 100% (median 87.5%), and the studies' adherence to the SUNDAE checklist was between 62% and 96% (median 86.6%). Evaluation studies suggest that interventions are likely efficacious. However, a preliminary meta-analysis revealed no significant difference between "DA" and "usual care" for decisional conflict or decisional regret. CONCLUSIONS: This review highlights that a number of well-developed DAs exist in urology. However, there is a need for specific instruments targeting kidney and bladder cancer. Personalization of tools and adherence to international standards of DAs should be further improved. PATIENT SUMMARY: The majority of uro-oncological decision aids target prostate cancer, whereas fewer address kidney or bladder cancer. The quality of the existing instruments is high, but can be increased further to better address specific needs of individual patients.

Different patients, different preferences: A multicenter assessment of patients' personality traits and anxiety in shared decision making.

OBJECTIVE: Patient-centered care and shared decision making (SDM) are generally recognized as the gold standard for medical consultations, especially for preference-sensitive decisions. However, little is known about psychological patient characteristics that influence patient-reported preferences. We set out to explore the role of personality and anxiety for a preference-sensitive decision in bladder cancer patients (choice of urinary diversion, UD) and to determine if anxiety predicts patients' participation preferences. METHODS: We recruited a sample of bladder cancer patients (N = 180, primarily male, retired) who awaited a medical consultation on radical cystectomy and their choice of UD. We asked patients to fill in a set of self-report questionnaires before this consultation, including measures of treatment preference, personality (BFI-10), anxiety (STAI), and participation preference (API and API-Uro), as well as sociodemographic characteristics. RESULTS: Most patients (79%) indicated a clear preference for one of the treatment options (44% continent UD, 34% incontinent UD). Patients who reported more conscientiousness were more likely to prefer more complex methods (continent UD). The majority (62%) preferred to delegate decision making to healthcare professionals. A substantial number of patients reported elevated anxiety (32%), and more anxiety was predictive of higher participation preference, specifically for uro-oncological decisions (ß = 0.207, p < 0.01). CONCLUSIONS: Our findings provide insight into the role of psychological patient characteristics for SDM. Aspects of personality such as conscientiousness influence treatment preferences. Anxiety contributes to patients' motivation to be involved in pertinent decisions. Thus, personality and negative affect should be considered to improve SDM.

Holmium Versus Thulium Laser Enucleation of the Prostate: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

CONTEXT: Holmium (HoLEP) and thulium laser enucleation of the prostate (ThuLEP) are the two methods most commonly applied for endoscopic enucleation of the prostate. It remains unclear which of the two is superior in terms of outcome and complications. OBJECTIVE: To compare perioperative and functional outcomes between HoLEP and ThuLEP. EVIDENCE ACQUISITION: A systematic review and meta-analysis were performed according to the recommendations of the Cochrane Collaboration and in line with the PRISMA criteria. A comprehensive database search including MEDLINE, Web of Science, CINAHL, ClinicalTrials.gov, and CENTRAL was conducted according to the PICO criteria. Only randomized controlled trials (RCTs) were considered. All review steps were conducted by two independent reviewers. Risk of bias was assessed using the revised Cochrane tool for RCTs. EVIDENCE SYNTHESIS: The search identified 556 studies, of which four were eligible for qualitative and quantitative analysis, reporting on a total of 579 patients with follow-up of up to 18 months. No significant differences in operating time, enucleation weight, catheterization time, or hospital stay were observed between ThuLEP and HoLEP. The decrease in hemoglobin was significantly lower for ThuLEP (mean difference -0.54 g/dl, 95% confidence interval [CI] -0.93 to -0.15; p < 0.001), but with low certainty of evidence. Transient urinary incontinence was more common for HoLEP (odds ratio 0.56, 95% CI 0.32-0.99; p = 0.045), again with low certainty of evidence. Furthermore, no significant differences were observed for other complications or for functional measures and symptom scores. CONCLUSIONS: ThuLEP and HoLEP offer comparable improvement in symptoms and postoperative voiding parameters. Both procedures are safe and major complications are rare. ThuLEP showed minor advantages for blood loss and the incidence of transient incontinence. This should be interpreted with caution owing to the low certainty of evidence. Therefore, treatment choice should be based on surgeon expertise and local conditions. PATIENT SUMMARY: We reviewed four clinical trials that compared holmium and thulium lasers for treatment to reduce the size of the prostate gland. Our review assessed outcomes and complications. We found that both laser techniques are safe and suitable for reducing symptoms due to an enlarged prostate. Blood loss and short-lasting urinary incontinence were slightly lower after thulium compared to holmium laser treatment.

Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are routinely implemented in clinical practice. Artificial intelligence-based image analysis has the potential to improve outcome prediction and thereby risk stratification. Thus, we investigated whether a convolutional neural network (CNN) can extract relevant image features from a representative hematoxylin and eosin-stained slide to predict 5-year overall survival (5y-OS) in ccRCC. The CNN was trained to predict 5y-OS in a binary manner using slides from TCGA and validated using an independent in-house cohort. Multivariable logistic regression was used to combine of the CNNs prediction and clinicopathological parameters. A mean balanced accuracy of 72.0% (standard deviation [SD] = 7.9%), sensitivity of 72.4% (SD = 10.6%), specificity of 71.7% (SD = 11.9%) and area under receiver operating characteristics curve (AUROC) of 0.75 (SD = 0.07) was achieved on the TCGA training set (n = 254 patients / WSIs) using 10-fold cross-validation. On the external validation cohort (n = 99 patients / WSIs), mean accuracy, sensitivity, specificity and AUROC were 65.5% (95%-confidence interval [CI]: 62.9-68.1%), 86.2% (95%-CI: 81.8-90.5%), 44.9% (95%-CI: 40.2-49.6%), and 0.70 (95%-CI: 0.69-0.71). A multivariable model including age, tumor stage and metastasis yielded an AUROC of 0.75 on the TCGA cohort. The inclusion of the CNN-based classification (Odds ratio = 4.86, 95%-CI: 2.70-8.75, p < 0.01) raised the AUROC to 0.81. On the validation cohort, both models showed an AUROC of 0.88. In univariable Cox regression, the CNN showed a hazard ratio of 3.69 (95%-CI: 2.60-5.23, p < 0.01) on TCGA and 2.13 (95%-CI: 0.92-4.94, p = 0.08) on external validation. The results demonstrate that the CNN's image-based prediction of survival is promising and thus this widely applicable technique should be further investigated with the aim of improving existing risk stratification in ccRCC.

Lithium triborate laser vaporization of the prostate using the 120 W, high performance system laser: high performance all the way?

PURPOSE: Technical modifications of the 120 W lithium-triborate laser have been implemented to increase power output, and prevent laser fiber degradation and loss of power output during laser vaporization of the prostate. However, visible alterations at the fiber tip and the subjective impression of decreasing ablative effectiveness during lithium-triborate laser vaporization indicate that delivering constantly high laser power remains a relevant problem. Thus, we evaluated the extent of laser fiber degradation and loss of power output during 120 W lithium-triborate laser vaporization of the prostate. MATERIALS AND METHODS: We investigated 46 laser fibers during routine 120 W lithium-triborate laser vaporization in 35 patients with prostatic bladder outflow obstruction. Laser beam power was measured at baseline and after the application of each 25 kJ during laser vaporization. Fiber tips were microscopically examined after the procedure. RESULTS: Mild to moderate degradation at the emission window occurred in all fibers, associated with a loss of power output. A steep decrease to a median power output of 57.3% of baseline was detected after applying the first 25 kJ. Median power output at the end of the defined 275 kJ lifespan of the fibers was 48.8%. CONCLUSIONS: Despite technical refinements of the 120 W lithium-triborate laser fiber degradation and significantly decreased power output are still detectable during the procedure. Laser fibers are not fully appropriate for the high power delivery of the new system. There is still potential for further improvement in the laser performance.