The Romanian translation and validation of the Extended Prostate Cancer Index Composite in patients undergoing radical prostatectomy.

Background and aims: To evaluate the quality of life in patients treated for prostate cancer in detail, an accessible, extensive, and easy-to-administer questionnaire is needed. The self-administered 50-item "Expanded Prostate Cancer Index Composite" (EPIC) is an instrument used for this purpose, but it is not officially translated into Romanian. The aim of the study was to translate and validate the Romanian version of the EPIC. Methods: We translated and culturally adapted the EPIC into Romanian. For validation, we included a retrospective analysis of 112 patients who underwent robotic radical prostatectomy and a prospective study including 120 consecutive patients hospitalized before surgical treatment. Baseline and follow-up assessments took place before and at six months, two, and five years post-surgery, between January 2014 and December 2015. We performed cross-sectional correlations between the EPIC, AUASI, and SF-12 at baseline, factor analysis, and calculated the internal consistency. Results: For most EPIC domains and subscales, our a priori-defined criteria for reliability were fulfilled (Cronbach's alpha 0.7-0.9). Cross-sectional correlations between EPIC scales and AUASI domain ranged from 0.23-0.69, and SF-12 domains ranged from 0.21-0.53 and 0.22-0.61, respectively. The retrospective analysis showed a medium acceptability and understanding of the EPIC questionnaire. In the prospective study, the revised EPIC draft showed an overall higher acceptability with a responding rate of 66% at a 5-year follow-up. All domains exhibited good internal consistency except for the hormonal section (Cronbach's α = 0.67) at the 6-month follow-up. Conclusion: The Romanian version of the EPIC is reliable, responsive and valid for measuring HRQL in prostate cancer patients. The EPIC questionnaire proved to be an exhaustive and reproducible instrument for evaluating the quality of life in Romanian prostate cancer patients.

Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques.

The advent of Surface-Enhanced Raman Scattering (SERS) has enabled the exploration and detection of small molecules, particularly in biological fluids such as serum, blood plasma, urine, saliva, and tears. SERS has been proposed as a simple diagnostic technique for various diseases, including cancer. Renal cell carcinoma (RCC) ranks as the sixth most commonly diagnosed cancer in men and is often asymptomatic, with detection occurring incidentally. The onset of symptoms typically aligns with advanced disease, aggressive histology, and unfavorable prognosis, and therefore new methods for an early diagnosis are needed. In this study, we investigated the utility of label-free SERS in urine, coupled with two multivariate analysis approaches: Principal Component Analysis combined with Linear Discriminant Analysis (PCA-LDA) and Support Vector Machine (SVM), to discriminate between 50 RCC patients and 44 healthy donors. Employing LDA-PCA, we achieved a discrimination accuracy of 100% using 13 principal components, and an 88% accuracy in discriminating between different RCC stages. The SVM approach yielded a training accuracy of 100%, a validation accuracy of 99% for discriminating between RCC and controls, and an 80% accuracy for discriminating between stages. The comparative analysis of raw and normalized SERS spectral data shows that while raw data disclose relative concentration variations in urine metabolites between the two classes, the normalization of spectral data significantly improves the accuracy of discrimination. Moreover, the selection of principal components with markedly distinct scores between the two classes serves to alleviate overfitting risks and reduces the number of components employed for discrimination. We obtained the accuracy of the discrimination between the RCC patients cases and healthy donors of 90% for three PCs and a linear discrimination function, and a 88% accuracy of discrimination between stages using six PCs, mitigating practically the risk of overfitting and increasing the robustness of our analysis. Our findings underscore the potential of label-free SERS of urine in conjunction with chemometrics for non-invasive and early RCC detection.

Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database.

BACKGROUND: In patients affected by high-risk nonmuscle invasive bladder cancer (HR-NMIBC) progression to muscle invasive status is considered as the main indicator of local treatment failure. We aimed to investigate the effect of progression and time to progression on overall survival (OS) and to investigate their validity as surrogate endpoints. METHODS: A total of 1,510 patients from 18 different institutions treated for T1 high grade NMIBC, followed by a secondary transurethral resection and BCG intravesical instillation. We relied on random survival forest (RSF) to rank covariates based on OS prediction. Cox's regression models were used to quantify the effect of covariates on mortality. RESULTS: During a median follow-up of 49.0 months, 485 (32.1%) patients progressed to MIBC, while 163 (10.8%) patients died. The median time to progression was 82 (95%CI: 78.0-93.0) months. In RSF time-to-progression and age were the most predictive covariates of OS. The survival tree defined 5 groups of risk. In multivariable Cox's regression models accounting for progression status as time-dependent covariate, shorter time to progression (as continuous covariate) was associated with longer OS (HR: 9.0, 95%CI: 3.0-6.7; P < 0.001). Virtually same results after time to progression stratification (time to progression ≥10.5 months as reference). CONCLUSION: Time to progression is the main predictor of OS in patients with high risk NMIBC treated with BCG and might be considered a coprimary endpoint. In addition, models including time to progression could be considered for patients' stratification in clinical practice and at the time of clinical trials design.

Post-Pandemic Aftermath: A Two-Year Follow-Up of the Effect of COVID-19 on Oncological Outcomes after Radical Prostatectomy for Prostate Cancer.

PURPOSE: This study aimed to evaluate the indirect effect of the Coronavirus Disease 2019 (COVID-19) pandemic on the surgical outcomes and oncological results of patients who underwent surgery during the lockdown period. METHODS: We analysed data from 423 patients who underwent radical prostatectomy between 2016 and 2022, with a cut-off date of March 16, 2020. Patients were categorised into two groups, namely, pre-lockdown (n = 289) and during lockdown (n = 134). Perioperative variables, histopathological findings and oncological outcomes, including prostate-specific antigen (PSA) levels and biochemical recurrence (BCR), were assessed. RESULTS: The number of radical prostatectomy increased by 24.26% during lockdown. The study included patients with a mean follow-up of 21 months. A nonsignificant trend towards a higher PSA level at presentation was found (14.22 vs. 12.53 ng/dL, p = 0.216). The International Society of Urological Pathology grade was not significantly different among radical prostatectomy specimens (p = 0.669). Lymph node involvement increased during the COVID-19 period (p = 0.046). The pT classification in prostatectomy specimens increased during the pandemic, but the difference from the pre-pandemic value was not statistically significant. The BCR rates were 24.6% pre-lockdown and 29.9% during lockdown (p = 0.136). CONCLUSIONS: The COVID-19 pandemic led to poor postoperative results. Through a 2-year follow-up, this research investigated the effect of the pandemic on the oncological outcomes, particularly BCR, of patients who underwent radical prostatectomy. Further extended investigations and multi-institutional studies should be conducted to quantify the effect of the pandemic on various cancer outcomes and inform crisis management strategies.

Evaluation of predictive factors for i-CLARAS (intraoperative complications in laparoscopic renal and adrenal surgery): a multicentre international retrospective cohort study.

The laparoscopic approach represents the standard of treatment for renal and adrenal diseases, and its use is increasing even outside referral centres. Although most procedures are routinely performed, intraoperative complications do not occur, and the rate and predictive factors of these complications have not been established. The aim of this study was to evaluate the incidence and type of intraoperative complications and to identify predictive factors in patients undergoing laparoscopic renal and adrenal surgery. This was a cohort, multicentre, international retrospective study. Patients who underwent laparoscopic renal and adrenal surgeries between April 2017 and March 2022 were included in the study. Bivariate analysis was performed using contingency tables and the χ2 test for independent samples to compare qualitative variables and the T test and Mood test for continuous variables. Multivariate analysis was performed using a logistic regression model to obtain adjusted odds ratios. A total of 2374 patients were included in the study. Intraoperative complications were reported for 8.09% of patients who underwent renal surgery, with the most common complications reported being hollow viscus and vascular complications, and for 6.75% of patients who underwent adrenal surgery, with the most common complication reported being parenchymatous viscous complications. Multivariate analysis revealed that both adrenal and renal surgery radiological preoperative factors, such as invasive features during adrenalectomy and the RENAL score during nephrectomy, are predictive factors of intraoperative complications. In contrast to existing data, surgeon experience was not associated with a reduction in the incidence of perioperative complications.

Comprehensive Analysis of Perioperative Factors Influencing the Risk of Biochemical Recurrence in Patients with Radical Prostatectomy.

PURPOSE: To analyze the perioperative factors that influence the risk of biochemical recurrence (BCR) in patients with localized PCa undergoing radical prostatectomy Materials and Methods: A total of 457 patients, operated by 2 surgeons in our high-volume oncological center were included in the initial database. Patients who underwent RP for clinically localized PCa in our clinic from 2016 to 2021 were included in the study. Perioperative data were retrospectively reviewed for this study. Follow-up data including post-operative PSA and adjuvant treatment was prospectively gathered by contacting the patients or from the follow-up consultation. Final database was composed of 366 patients who underwent open or 3D laparoscopic RP. Statistical analysis was performed to emphasize the most powerful parameters that influence the BCR.  Results: Accounting for multivariable analysis, 4 parameters were statistically significant: initial PSA (iPSA), Gleason score, vascular involvement and positive surgical margins. For the group of patients with no positive margins, 3 parameters were statistically significant: iPSA above 10,98 ng/mL (AUC=0,71); lymph node involvement and Gleason score. Multivariable Cox regression showed that positive margins and iPSA had a significant impact on the time to BCR. Patients that received adjuvant therapy were excluded from the study. Out of the whole cohort, 27,3% of patients presented BCR. CONCLUSION: Perioperative factors need to be carefully analyzed and a detailed follow-up needs to be conducted in order to assess the risk of biochemical recurrence, resulting in the optimal time for adjuvant treatment implementation.

Right Radical Nephrectomy With Level IV Thrombus by Combined 3D Laparoscopic and Mini-thoracotomy Approach.

OBJECTIVE: To report our step-by-step technique for 3D laparoscopic radical nephrectomy and thrombectomy for a right renal tumor with level IV venous thrombus. Worldwide experience in minimally-invasive approach for such complex cases is limited. MATERIALS AND METHODS: A 66-year-old male was incidentally diagnosed with a right renal tumor. He had a medical history of hypertension and benign prostatic hyperplasia. Blood test analysis showed a hemoglobin of 11.2 g/dL and creatinine of 0.92 mg/dL. Liver function and bilirubin were within normal limits. Contrast-enhanced abdominal CT scan showed an 90/77/85 mm right renal mass with a level IV inferior vena cava (IVC) tumor thrombus. Cardiac MRI showed that the tumor thrombus was extending into the right atrium, through the tricuspid valve and into the right ventricle. There was no evidence of distant metastases. After a multidisciplinary team reviewed the case, the patient was scheduled for 3D laparoscopic radical nephrectomy and thrombectomy by mini-thoracotomy approach RESULTS: Retroperitoneal laparoscopic approach was used to ensure rapid access on the renal artery, with minimal mobilization of the renal vein, and to better isolate the posterior wall of the IVC. Surgery continued with the transperitoneal approach and the isolation of the infrarenal and infrahepatic IVC and left renal vein. Meanwhile the right femoral artery and vein and right jugular vein were cannulated. Mini-thoracotomy was performed and cardiopulmonary by-pass was started. Blood flow through the IVC and left renal vein was stopped, and the right atrium was opened to control the thrombus. Cavotomy was performed at the level of right renal hilum and the tumor thrombus was identified and sectioned. There were no signs of thrombus adherence to the IVC wall. The thoracic segment of the thrombus was completely extracted by the cardiovascular surgeons. Pringle maneuver was not necessary, as there was no retrograde bleeding. No intraoperative adverse events occurred, according to the Intraoperative Complications Assessment and Reporting with Universal Standards Criteria. The operative time was 7 hours. Blood loss was minimal, with no need of intra- or postoperative transfusions. Hospital length of stay was 8 days. Pathology revealed renal cell carcinoma, International Society of Urological Pathology 3, with negative surgical margins. At 9-months follow-up, the patient is doing well, without signs of local or distant recurrence. CONCLUSION: 3D laparoscopy is a feasible alternative to open surgery for the most complex cases, enabling very precise dissection and suturing. We have shown a case of successful 3D laparoscopic radical nephrectomy with IVC thrombectomy combined with mini-thoracotomy achieving complete intracardiac thrombus removal.

High-Accuracy Renal Cell Carcinoma Discrimination through Label-Free SERS of Blood Serum and Multivariate Analysis.

Renal cell carcinoma (RCC) represents the sixth most frequently diagnosed cancer in men and is asymptomatic, being detected mostly incidentally. The apparition of symptoms correlates with advanced disease, aggressive histology, and poor outcomes. The development of the Surface-Enhanced Raman Scattering (SERS) technique opened the way for investigating and detecting small molecules, especially in biological liquids such as serum or blood plasma, urine, saliva, and tears, and was proposed as a simple technique for the diagnosis of various diseases, including cancer. In this study, we investigated the use of serum label-free SERS combined with two multivariate analysis tests: Principal Component Analysis combined with Linear Discriminate Analysis (PCA-LDA) and Supported Vector Machine (SVM) for the discrimination of 50 RCC cancer patients from 45 apparently healthy donors. In the case of LDA-PCA, we obtained a discrimination accuracy of 100% using 12 principal components and a quadratic discrimination function. The accuracy of discrimination between RCC stages was 88%. In the case of the SVM approach, we obtained a training accuracy of 100%, a validation accuracy of 92% for the discrimination between RCC and controls, and an accuracy of 81% for the discrimination between stages. We also performed standard statistical tests aimed at improving the assignment of the SERS vibration bands, which, according to our data, are mainly due to purinic metabolites (uric acid and hypoxanthine). Moreover, our results using these assignments and Student's t-test suggest that the main differences in the SERS spectra of RCC patients are due to an increase in the uric acid concentration (a conclusion in agreement with recent literature), while the hypoxanthine concentration is not statistically different between the two groups. Our results demonstrate that label-free SERS combined with chemometrics holds great promise for non-invasive and early detection of RCC. However, more studies are needed to validate this approach, especially when combined with other urological diseases.

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment.

(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI-RADS score is subject to interobserver variability and cannot provide information about tumor cellularity. These limitations may be overcome by using a quantitative approach, such as the new emerging domain of radiomics. (2) Aim: To systematically review published studies on the use of MRI-based radiomics in bladder cancer. (3) Materials and Methods: We performed literature research using the PubMed MEDLINE, Scopus, and Web of Science databases using PRISMA principles. A total of 1092 papers that addressed the use of radiomics for BC staging, grading, and treatment response were retrieved using the keywords "bladder cancer", "magnetic resonance imaging", "radiomics", and "textural analysis". (4) Results: 26 papers met the eligibility criteria and were included in the final review. The principal applications of radiomics were preoperative tumor staging (n = 13), preoperative prediction of tumor grade or molecular correlates (n = 9), and prediction of prognosis/response to neoadjuvant therapy (n = 4). Most of the developed radiomics models included second-order features mainly derived from filtered images. These models were validated in 16 studies. The average radiomics quality score was 11.7, ranging between 8.33% and 52.77%. (5) Conclusions: MRI-based radiomics holds promise as a quantitative imaging biomarker of BCa characterization and prognosis. However, there is still need for improving the standardization of image preprocessing, feature extraction, and external validation before applying radiomics models in the clinical setting.

Integration of Virtual Reality in the Control System of an Innovative Medical Robot for Single-Incision Laparoscopic Surgery.

In recent years, there has been an expansion in the development of simulators that use virtual reality (VR) as a learning tool. In surgery where robots are used, VR serves as a revolutionary technology to help medical doctors train in using these robotic systems and accumulate knowledge without risk. This article presents a study in which VR is used to create a simulator designed for robotically assisted single-uniport surgery. The control of the surgical robotic system is achieved using voice commands for laparoscopic camera positioning and via a user interface developed using the Visual Studio program that connects a wristband equipped with sensors attached to the user's hand for the manipulation of the active instruments. The software consists of the user interface and the VR application via the TCP/IP communication protocol. To study the evolution of the performance of this virtual system, 15 people were involved in the experimental evaluation of the VR simulator built for the robotic surgical system, having to complete a medically relevant task. The experimental data validated the initial solution, which will be further developed.

Artificial Intelligence-Based Hazard Detection in Robotic-Assisted Single-Incision Oncologic Surgery.

THE PROBLEM: Single-incision surgery is a complex procedure in which any additional information automatically collected from the operating field can be of significance. While the use of robotic devices has greatly improved surgical outcomes, there are still many unresolved issues. One of the major surgical complications, with higher occurrence in cancer patients, is intraoperative hemorrhages, which if detected early, can be more efficiently controlled. AIM: This paper proposes a hazard detection system which incorporates the advantages of both Artificial Intelligence (AI) and Augmented Reality (AR) agents, capable of identifying, in real-time, intraoperative bleedings, which are subsequently displayed on a Hololens 2 device. METHODS: The authors explored the different techniques for real-time processing and determined, based on a critical analysis, that YOLOv5 is one of the most promising solutions. An innovative, real-time, bleeding detection system, developed using the YOLOv5 algorithm and the Hololens 2 device, was evaluated on different surgical procedures and tested in multiple configurations to obtain the optimal prediction time and accuracy. RESULTS: The detection system was able to identify the bleeding occurrence in multiple surgical procedures with a high rate of accuracy. Once detected, the area of interest was marked with a bounding box and displayed on the Hololens 2 device. During the tests, the system was able to differentiate between bleeding occurrence and intraoperative irrigation; thus, reducing the risk of false-negative and false-positive results. CONCLUSION: The current level of AI and AR technologies enables the development of real-time hazard detection systems as efficient assistance tools for surgeons, especially in high-risk interventions.

Advances in Cancer Therapy from Research to Clinical Practice-Surgical, Molecular or Systemic Management of Cancer.

Cancer represents one of the most important general health problems of our day [...].

Safety Issues in the Development of an Innovative Medical Parallel Robot Used in Renal Single-Incision Laparoscopic Surgery.

Robotic-assisted single-incision laparoscopic surgery (SILS) is becoming an increasingly widespread field worldwide due to the benefits it brings to both the patient and the surgeon. The goal of this study is to develop a secure robotic solution for SILS, focusing specifically on urology, by identifying and addressing various safety concerns from an early design stage. Starting with the medical tasks and protocols, the technical specifications of the robotic system as well as potential; hazards have been identified. By employing competitive engineering design methods such as Analytic Hierarchy Process (AHP), Risk assessment, and Failure Mode and Effects Analysis (FMEA), a safe design solution is proposed. A set of experiments is conducted to validate the proposed concept, and the results strongly support the development of the experimental model. The Finite Element Analysis (FEA) method is applied to validate the mechanical architecture within a set of simulations, demonstrating the compliance of the robotic system with the proposed technical specifications and its capability to safely perform SILS procedures.

A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images.

INTRODUCTION: Prostate magnetic resonance imaging (MRI) has been recently integrated into the pathway of diagnosis of prostate cancer (PCa). However, the lack of an optimal contrast-to-noise ratio hinders automatic recognition of suspicious lesions, thus developing a solution for proper delimitation of the tumour and its separation from the healthy parenchyma, which is of primordial importance. METHOD: As a solution to this unmet medical need, we aimed to develop a decision support system based on artificial intelligence, which automatically segments the prostate and any suspect area from the 3D MRI images. We assessed retrospective data from all patients diagnosed with PCa by MRI-US fusion prostate biopsy, who underwent prostate MRI in our department due to a clinical or biochemical suspicion of PCa (n=33). All examinations were performed using a 1.5 Tesla MRI scanner. All images were reviewed by two radiologists, who performed manual segmentation of the prostate and all lesions. A total of 145 augmented datasets were generated. The performance of our fully automated end-to-end segmentation model based on a 3D UNet architecture and trained in two learning scenarios (on 14 or 28 patient datasets) was evaluated by two loss functions. RESULTS: Our model had an accuracy of over 90% for automatic segmentation of prostate and PCa nodules, as compared to manual segmentation. We have shown low complexity networks, UNet architecture with less than five layers, as feasible and to show good performance for automatic 3D MRI image segmentation. A larger training dataset could further improve the results. CONCLUSION: Therefore, herein, we propose a less complex network, a slim 3D UNet with superior performance, being faster than the original five-layer UNet architecture.

Molecular basis and therapeutic targets in prostate cancer: A comprehensive review.

Prostate cancer is one of the most significant causes of morbidity and mortality in male patients. The incidence increases with age, and it is higher among African Americans. The occurrence of prostate cancer is associated with many risk factors, including genetic and hereditary predisposition. The most common genetic syndromes associated with prostate cancer risk are BRCA-associated hereditary breast and ovarian cancer (HBOC) and Lynch syndrome. Local-regional therapy, i.e., surgery is beneficial in early-stage prostate cancer management. Advanced and metastatic prostate cancers require systemic therapies, including hormonal inhibition, chemotherapy, and targeted agents. Most prostate cancers can be treated by targeting the androgen-receptor pathway and decreasing androgen production or binding to androgen receptors (AR). Castration-resistant prostate cancer (CRPC) usually involves the PI3K/AKT/mTOR pathway and requires targeted therapy. Specific molecular therapy can target mutated cell lines in which DNA defect repair is altered, caused by mutations of BRCA2, partner and localizer of BRCA2 (PALB2), and phosphatase and tensin homolog (PTEN) or the transmembrane protease serine 2-ERG (TMPRSS2-ERG) fusion. Most benefits were demonstrated in cyclin dependent-kinase 12 (CDK12) mutated cell lines when treated with anti-programmed cell death protein 1 (PD1) therapy. Therapies targeting p53 and AKT are the subject of ongoing clinical trials. Many genetic defects are listed as diagnostic, prognostic, and clinically actionable markers in prostate cancer. Androgen receptor splice variant 7 (AR-V7) is an important oncogenic driver and an early diagnostic and prognostic marker, as well as a therapeutic target in hormone-resistant CRPC. This review summarizes the pathophysiological mechanisms and available targeted therapies for prostate cancer.

Robotic Radical Cystectomy with Intracorporeal Urinary Diversion - Tips and Tricks.

Radical cystectomy represents the standard surgical treatment in case of muscle invasive bladder cancer. During the last two decades a change in the surgical approach of the MIBC has been observed, from open surgery to minimal invasive surgery. Nowadays, in the majority of tertiary urologic centers, robotic radical cystectomy with intracorporeal urinary diversion represents the standard surgical approach. The aim of the current study is to describe in detail the surgical steps of the robotic radical cystectomy and the reconstruction of the urinary diversion and to present our experience. From the surgical point of view, the most important principles which should guide the surgeon when performing this procedure are: 1. Good working place and access both to the pelvis and abdomen and use of the "technique of spaces" 2. Respect the oncological principles of the surgery with attention to the margin resection and limitation of the risk of tumour spillage; 3. Attention to both the ureter and bowel manipulation in order to avoid grasping lesions; 4. High care in realisation of the uretero-ileal anastomosis so that good long term functional results are achieved. We analyzed our database of 213 patients diagnosed with muscle invasive bladder cancer who underwent minimally invasive radical cystectomy (laparoscopic and robotic approaches) between January 2010 and December 2022. We identified 25 patients for whom the robotic approach was used to perform the surgery. Despite being one of the most challenging urologic surgical procedures, with careful preparation and training, the surgeon is able to achieve the maximum oncological and functional results by performing robotic radical cystectomy with intracorporeal urinary.

Systematic review of techniques and devices used to avoid warm ischemia time injury during kidney transplantation.

PURPOSE: The lack of a reliable and reproducible technique to ensure a constantly low temperature of the graft during kidney transplantation (KT) may be a cause of renal nonfunction. The aim of this review was to assess all the methods and devices available to ensure hypothermia during vascular anastomosis in KT. METHODS: A literature search was conducted through May 2022 using PubMed/Medline, Cochrane Library, Embase and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were followed to identify eligible studies. The review protocol was registered on PROSPERO (CRD42022326550). RESULTS: A total of 20 studies reporting on four hypothermia techniques met our inclusion criteria. Simple instillation of cold serum is not sufficient, the graft reaching up to 33 ℃ at the end of warm ischemia time (WIT). Plastic bags filled with ice slush have questionable efficiency. The use of a gauze jacket filled with ice-slush was reported in 12/20 studies. It ensures a graft temperature up to 20.3 ℃ at the end of WIT. Some concerns have been linked to potentially inhomogeneous parenchymal cooling and secondary ileus. Novel devices with continuous flow of ice-cold solution around the graft might overcome these limitations, showing a renal temperature below 20 ℃ at all times during KT. CONCLUSION: The gauze filled with ice slush is the most common technique, but several aspects can be improved. Novel devices in the form of cold-ischemia jackets can ensure a lower and more stable temperature of the graft during KT, leading to higher efficiency and reproducibility.

Elastography in the Urological Practice: Urinary and Male Genital Tract, Prostate Excluded-Review.

The aim of this article is to review the utility of elastography in the day-to-day clinical practice of the urologist. An electronic database search was performed on PubMed and Cochrane Library with a date range between January 2000 and December 2021. The search yielded 94 articles that passed the inclusion and exclusion criteria. The articles were reviewed and discussed by organ, pathology and according to the physical principle underlying the elastographic method. Elastography was used in the study of normal organs, tumoral masses, chronic upper and lower urinary tract obstructive diseases, dysfunctions of the lower urinary tract and the male reproductive system, and as a pre- and post-treatment monitoring tool. Elastography has numerous applications in urology, but due to a lack of standardization in the methodology and equipment, further studies are required.

More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis-A Systematic Review.

(1) Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted prostate biopsy. However, both mpMRI and targeted prostate biopsy are operator dependent. The past decade has been marked by the emerging domain of radiomics and artificial intelligence (AI), with extended application in medical diagnosis and treatment processes. (2) Aim: To present the current state of the art regarding decision support tools based on texture analysis and AI for the prediction of aggressiveness and biopsy assistance. (3) Materials and Methods: We performed literature research using PubMed MeSH, Scopus and WoS (Web of Science) databases and screened the retrieved papers using PRISMA principles. Articles that addressed PCa diagnosis and staging assisted by texture analysis and AI algorithms were included. (4) Results: 359 papers were retrieved using the keywords "prostate cancer", "MRI", "radiomics", "textural analysis", "artificial intelligence", "computer assisted diagnosis", out of which 35 were included in the final review. In total, 24 articles were presenting PCa diagnosis and prediction of aggressiveness, 7 addressed extracapsular extension assessment and 4 tackled computer-assisted targeted prostate biopsies. (5) Conclusions: The fusion of radiomics and AI has the potential of becoming an everyday tool in the process of diagnosis and staging of the prostate malignancies.