252 research outputs found

    Adherence to the EAU guidelines on Penile Cancer Treatment: European, multicentre, retrospective study

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    16siPurpose: The European Association of Urology (EAU) guidelines for penile cancer (PC) are exclusively based on retrospective studies and have low grades of recommendation. The aim of this study was to assess the adherence to guidelines by investigating the management strategies for primary tumours and inguinal lymph nodes. Methods: We retrospectively reviewed the clinical charts of 176 PC patients who underwent surgery in eight European centres from 2010 to 2016. The stage and grade were assessed according to the 2009 AJCC–UICC TNM classification system. To assess adherence rates, we compared theoretical and practical adherence to the EAU guidelines. Results: Overall, 176 patients were enrolled. Partial amputation was the most frequent surgical approach (39%). 53.7% of tumours were stage Tis-T1b and the remaining 46.3% were stage T2-T4. Palpable lymph nodes were detected in 30.1% of patients and 45.1% underwent lymphadenectomy (LY). A sizeable group of tumours (43.2%) were N0. For primary treatment, adherence to the EAU guidelines was good (66%). In non-adherent cases, reasons for discrepancy were patient’s choice (17%), surgeon’s preference (36%), and other causes (47%). For LY, the guideline adherence was 70%, with either patient’s or surgeon’s choice or other causes accounting for discrepancy in 28, 20, and 52% of non-adherent cases, respectively. Conclusion: Adherence to the EAU guidelines for PC was quite high across the eight European centres involved in the study. This notwithstanding, strategies for further improvement should be developed and evenly adopted.openopenBada M.; Berardinelli F.; Nyirady P.; Varga J.; Ditonno P.; Battaglia M.; Chiodini P.; De Nunzio C.; Tema G.; Veccia A.; Antonelli A.; Cindolo L.; Simeone C.; Puliatti S.; Micali S.; Schips L.Bada, M.; Berardinelli, F.; Nyirady, P.; Varga, J.; Ditonno, P.; Battaglia, M.; Chiodini, P.; De Nunzio, C.; Tema, G.; Veccia, A.; Antonelli, A.; Cindolo, L.; Simeone, C.; Puliatti, S.; Micali, S.; Schips, L

    A new era and future of education : the impact of pandemic on online learning - a study from the European School of Urology

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    In contemporary times, the online learning process has become indispensable for healthcare education. In this direction, the European School of Urology (ESU) has taken the challenge to implement new technologies to bring down knowledge barriers. Web-based seminars (webinars) are one of the tools that help us move towards such inclusivity, and in front-facing COVID-19 pandemic, when face-to-face meetings were forbidden. Data from ESU webinars was collected from 2016 to 2022. We described the trends through years of: a) number of webinars per year; b) number of oncological versus non-oncologi-cal webinars per year; c) number of registrations per year; d) attendance rate; e) YouTube visualisations. We also analysed audience demographics and COVID-19 impact. We found a 60% increase in webinars launched per year with a trend towards more non-oncolog-ical webinars. A 94% rise in the number of registrations and an 85% increase in the attendance ratio from 2016 to 2022 was observed. The mean YouTube visualisations per webinar decreased over 200%. Among registrations, we had a 3:1 male: female ratio, 53% were older than 40, and a 51% were of European pre-cedence. COVID-19 positively impacted webinars with a remarkable increase on the amount of webinars launched, number of registrations and attendance ratio. Webinars are a powerful tool to spread healthcare knowledge, bridging the gap in medical educational access. COVID-19 was a determinant that reinforced its implantation, but our data show that this new learning tool had a positive uptake, and has come to stay

    Molecular Imaging Diagnosis of Renal Cancer Using 99mTc-Sestamibi SPECT/CT and Girentuximab PET-CT-Current Evidence and Future Development of Novel Techniques

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    : Novel molecular imaging opportunities to preoperatively diagnose renal cell carcinoma is under development and will add more value in limiting the postoperative renal function loss and morbidity. We aimed to comprehensively review the research on single photon emission computed tomography/computed tomography (SPECT/CT) and positron emission tomography computed tomography (PET-CT) molecular imaging and to enhance the urologists' and radiologists' knowledge of the current research pattern. We identified an increase in prospective and also retrospective studies that researched to distinguish between benign and malignant lesions and between different clear cell renal cell carcinoma subtypes, with small numbers of patients studied, nonetheless with excellent results on specificity, sensitivity and accuracy, especially for 99mTc-sestamibi SPECT/CT that delivers quick results compared to a long acquisition time for girentuximab PET-CT, which instead gives better image quality. Nuclear medicine has helped clinicians in evaluating primary and secondary lesions, and has lately returned with new and exciting insights with novel radiotracers to reinforce its diagnostic potential in renal carcinoma. To further limit the renal function loss and post-surgery morbidity, future research is mandatory to validate the results and to clinically implement the diagnostic techniques in the context of precision medicine

    Risk of cardiovascular toxicity with combination of immune-checkpoint inhibitors and angiogenesis inhibitors: a meta-analysis

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    IntroductionCombinations of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AIs) have been investigated for the treatment of several tumor types. Both ICIs and AIs may lead to cardiovascular adverse events, and their combination may potentially increase the risk for cardiovascular toxicity. In the present meta-analysis, we aim to assess the cardiovascular toxicity of ICIs plus AIs vs. AIs alone. Secondary objectives are non-cardiovascular adverse events and efficacy.MethodsSystematic review was performed according to PRISMA statement. Phase II and III randomized clinical trials were identified by searching the MEDLINE/PubMed, Cochrane Library and ASCO Meeting abstracts, from inception to June 2022. The pooled risks for overall response rate (ORR), 1-year progression-free survival (PFS), adverse events (AEs), immune-related AEs, (irAEs), hypertension, and vascular events defined as stroke, myocardial infarction and pulmonary embolisms, were calculated.ResultsIn terms of cardiovascular toxicity, we found higher risk for severe hypertension among patients treated with ICIs plus AIs as compared with those receiving AIs (OR 1.24, 95% CI: 1.01–1.53), but no significant difference was found for any-grade hypertension, and for vascular events. There was also no difference in terms of overall AEs, whereas the incidence of irAEs was increased in the ICIs plus AIs arm, as expected. In terms of efficacy, ICIs plus AIs achieved better ORR (OR 2.25, 95% CI: 1.70–2.97) and PFS (HR 0.49, 95% CI: 0.39–0.63) as compared to AIs alone.ConclusionThe addition of ICIs to AIs significantly increased the risk of high-grade hypertension, but not that of acute vascular events

    Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review

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    : Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of different subtypes of RCC, to predict Fuhrman grade, to predict gene mutation through molecular biomarkers and to predict treatment response in metastatic RCC undergoing immunotherapy. Neural networks analyze imaging data. Statistical, geometrical, textural features derived are giving quantitative data of contour, internal heterogeneity and gray zone features of lesions. A comprehensive literature review was performed, until July 2022. Studies investigating the diagnostic value of radiomics in differentiation of renal lesions, grade prediction, gene alterations, molecular biomarkers and ongoing clinical trials have been analyzed. The application of AI and radiomics could lead to improved sensitivity, specificity, accuracy in detecting and differentiating between renal lesions. Standardization of scanner protocols will improve preoperative differentiation between benign, low-risk cancers and clinically significant renal cancers and holds the premises to enhance the diagnostic ability of imaging tools to characterize renal lesions

    Rates and Predictors of Perioperative Complications in Cytoreductive Nephrectomy: Analysis of the Registry for Metastatic Renal Cell Carcinoma

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    Background: Cytoreductive nephrectomy (CN) plays an important role in the treatment of a subgroup of metastatic renal cell carcinoma (mRCC) patients. Objective: We aimed to evaluate morbidity associated with this procedure and identify potential predictors thereof to aid patient selection for this procedure and potentially improve patient outcomes. Design, setting, and participants: Data from 736 mRCC patients undergoing CN at 14 institutions were retrospectively recorded in the Registry for Metastatic RCC (REMARCC). Outcome measurements and statistical analysis: Logistic regression analysis was used to identify predictors for intraoperative, any-grade (AGCs), low-grade, and high-grade (HGCs) postoperative complications (according to the Clavien-Dindo classification) as well as 30-d readmission rates. Results and limitations: Intraoperative complications were observed in 69 patients (10.9%). Thrombectomy (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.08-1.75, p = 0.009) and adjacent organ removal (OR 2.7, 95% CI 1.38-5.30) were significant predictors of intraoperative complications at multivariable analysis. Two hundred seventeen patients (29.5%) encountered AGCs, while 45 (6.1%) encountered an HGC, of whom 10 (1.4%) died. Twenty-four (3.3%) patients had multiple postoperative complications. Estimated blood loss (EBL; OR 1.49, 95% CI 1.08-2.05, p = 0.01) was a significant predictor of AGCs at multivariable analysis. CN case load (OR 0.13, 95% CI 0.03-0.59, p = 0.009) and EBL (OR 2.93, 95% CI 1.20-7.15, p = 0.02) were significant predictors solely for HGCs at multivariable analysis. Forty-one patients (11.5%) were readmitted within 30 d of surgery. No significant predictors were identified. Results were confirmed in a subanalysis focusing solely on patients treated in the contemporary targeted therapy era. Conclusions: Morbidity associated with CN is not negligible. Predictors of high-grade postoperative morbidity are predominantly indicators of complex surgery. EBL is a strong predictor of postoperative complications. CN case load correlates with lower high-grade morbidity and highlights the benefit of centralization of complex surgery. However, risks and benefits should be balanced when considering CN in mRCC patients. Patient summary: We studied patients with metastatic renal cancer to evaluate the outcomes associated with the surgical removal of the primary kidney tumor. We found that this procedure is often complex and adverse events are not uncommon. High intraoperative blood loss and a small number of cases performed at the treating center are associated with a higher rate of postoperative complications

    Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature

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    The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer. This review explores how artificial intelligence (AI) can create a framework for kidney cancer surgery to address training difficulties. Following PRISMA 2020 criteria, an exhaustive search of PubMed and SCOPUS databases was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on AI’s role in kidney cancer surgical training. On the other hand, all non-original articles and articles published in any language other than English were excluded. Two independent reviewers assessed the articles, with a third party settling any disagreement. Study specifics, AI tools, methodologies, endpoints, and outcomes were extracted by the same authors. The Oxford Center for Evidence-Based Medicine’s evidence levels were employed to assess the studies. Out of 468 identified records, 14 eligible studies were selected. Potential AI applications in kidney cancer surgical training include analyzing surgical workflow, annotating instruments, identifying tissues, and 3D reconstruction. AI is capable of appraising surgical skills, including the identification of procedural steps and instrument tracking. While AI and augmented reality (AR) enhance training, challenges persist in real-time tracking and registration. The utilization of AI-driven 3D reconstruction proves beneficial for intraoperative guidance and preoperative preparation. Artificial intelligence (AI) shows potential for advancing surgical training by providing unbiased evaluations, personalized feedback, and enhanced learning processes. Yet challenges such as consistent metric measurement, ethical concerns, and data privacy must be addressed. The integration of AI into kidney cancer surgical training offers solutions to training difficulties and a boost to surgical education. However, to fully harness its potential, additional studies are imperative

    Radical penectomy, a compromise for life: results from the PECAD study

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    The use of organ sparing strategies to treat penile cancer (PC) is currently supported by evidence that has indicated the safety, efficacy and benefit of this surgery. However, radical penectomy still represents up to 15-20% of primary tumor treatments in PC patients. The aim of the study was to evaluate efficacy in terms of overall survival (OS) and disease-free survival (DFS) of radical penectomy in PC patients.Background: The use of organ sparing strategies to treat penile cancer (PC) is currently supported by evidence that has indicated the safety, efficacy and benefit of this surgery. However, radical penectomy still represents up to 15-20% of primary tumor treatments in PC patients. The aim of the study was to evaluate efficacy in terms of overall survival (OS) and disease-free survival (DFS) of radical penectomy in PC patients. Methods: Data from a retrospective multicenter study (PEnile Cancer ADherence study, PECAD Study) on PC patients treated at 13 European and American urological centers (Hospital \u201cSant'Andrea\u201d, Sapienza University, Roma, Italy; \u201cG.D'Annunzio\u201d University, Chieti and ASL 2 Abruzzo, Hospital \u201cS. Pio da Pietrelcina\u201d, Vasto, Italy; Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA; Hospital of Budapest, Hungary; Department of Emergency and Organ Transplantation, Urology and Andrology Unit II, University of Bari, Italy; Hospital \u201cSpedali Civili\u201d, Brescia, Italy; Istituto Europeo di Oncologia, University of Milan, Milan, Italy; University of Modena & Reggio Emilia, Modena, Italy; Hospital Universitario La Paz, Madrid, Spain; Ceara Cancer Institute, Fortaleza, Brazil; Virginia Commonwealth University, Richmond, VA, USA; Aristotle University of Thessaloniki, Thessaloniki, Greece; Maria Sk\u142odowska-Curie Memorial Cancer Center, Warsaw, Poland) between 2010 and 2016 were used. Medical records of patients who specifically underwent radical penectomy were reviewed to identify main clinical and pathological variables. Kaplan-Meier method was used to estimate 1- and 5-year OS and DFS. Results: Of the entire cohort of 425 patients, 72 patients (16.9%) treated with radical penectomy were extracted and were considered for the analysis. The median age was 64.5 (IQR, 57.5-73.2) years. Of all, 41 (56.9%) patients had pT3/pT4 and 31 (43.1%) pT1/pT2. Moreover, 36 (50.0%) were classified as pN1-3 and 5 (6.9%) M1. Furthermore, 61 (84.7%) had a high grade (G2-G3) with 6 (8.3%) positive surgical margins. The 1- and 5-year OS rates were respectively 73.3% and 59.9%, while the 1- and 5-year DFS rates were respectively 67.3% and 35.1%. Conclusions: PC is an aggressive cancer particularly in more advanced stage. Overall, more than a third of patients do not survive at 5 years and more than 60% report a disease recurrence, despite the use of a radical treatment
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