Andrea Panunzio¹, Rossella Orlando¹, Federico Greco^2,3, Giovanni Mazzucato⁴, Floriana Luigina Rizzo¹, Serena Domenica D’Elia¹, Antonio Benito Porcaro⁵, Alessandro Antonelli⁵, Alessandro Tafuri^1,6,*

Canadian Journal of Urology, Vol.32, No.5, pp. 375-384, 2025, DOI:10.32604/cju.2025.066140 - 30 October 2025

Abstract Background: The Barthel Index (BI) measures the level of patient independence in activities of daily living. This review aims to summarize current evidence on the use of the BI in urology, highlighting its potential as a tool for assessing patients prior to surgery. Materials and methods: A comprehensive search of PubMed, Scopus, and Web of Science databases was conducted for studies evaluating the BI in patients undergoing urologic surgery, following Systematic Review and Meta-analyses (PRISMA) guidelines. The BI was investigated both as a descriptor of baseline or postoperative health status and a prognostic indicator. A qualitative… More >

Azik Hoffman^1,2,*, Eyal Kochavi³, Gilad E. Amiel^1,2

Canadian Journal of Urology, Vol.32, No.5, pp. 423-432, 2025, DOI:10.32604/cju.2025.064740 - 30 October 2025

Abstract Objectives: Initial treatment for Non-Muscle Invasive Bladder Cancer (NMIBC) has remained mostly unchanged in recent decades. Cryotherapy with CO₂ has been commonly used in medicine for many years. In this study, we present the results of a pre-clinical study aimed at developing a novel cryoablation device to treat superficial low-grade bladder lesions. Methods: Following initial technical and developmental studies, a rigid cryotherapy device was developed. A technical and efficacy assessment was conducted utilizing the porcine model. Overall, twenty-six ablation areas (up to four per animal) were evaluated. Following an initial routine cystoscopy, the bladder irrigation medium… More >

Ozgu Aydogdu^1,*, Onur Erdemoglu², Halil Ibrahim Bozkurt², Tansu Degirmenci², Michael Winder³

Canadian Journal of Urology, Vol.32, No.5, pp. 529-538, 2025, DOI:10.32604/cju.2025.064564 - 30 October 2025

Abstract Objectives: Treatment of patients with lower urinary tract symptoms (LUTS) is often challenging. In men, the origin of LUTS, in particular overactive bladder (OAB) symptoms, is often due to prostate enlargement. However, patients with chronic prostate inflammation (CPI) also frequently experience OAB. Thus far, it is not known if the inflammation per se or concomitant prostate enlargement is the underlying cause of LUTS. Currently, we aim to examine if there is any correlation between CPI and the persistence of OAB symptoms in patients with benign prostate hyperplasia (BPH). Methods: Fifty-one men underwent transurethral resection of… More >

Ellen M. Cahill, Ankur U. Choksi, Sharath S. Reddy, Dylan C. H. Heckscher, Katherine Rotker, Stanton C. Honig^*

Canadian Journal of Urology, Vol.32, No.5, pp. 521-527, 2025, DOI:10.32604/cju.2025.064559 - 30 October 2025

Abstract Introduction: Spermatocelectomy is a surgical procedure performed for symptomatic spermatoceles. Published data is limited with respect to recurrence rates, complication rates, and patient satisfaction. The core concept of spermatocelectomy is to identify the communication between epididymis and spermatocele, which can be difficult and may result in spermatocele recurrence. We postulate that a combined spermatocelectomy with epididymectomy will yield a lower rate of recurrence. Methods: A retrospective chart review of patients with symptomatic spermatoceles undergoing spermatocelectomy with or without epididymectomy at our institution was performed. Patients were excluded from epididymectomy if they were interested in fertility… More >

Sarbjit Mohapatra^1,*, Nandkumar Madhekar², Sameer Ratkal³, Jaideep Ratkal¹

Canadian Journal of Urology, Vol.32, No.5, pp. 509-513, 2025, DOI:10.32604/cju.2025.063783 - 30 October 2025

Abstract Background: Isolated renal aspergilloma is a rare medical entity posing difficult diagnostic and treatment challenges. Case Description: We document a case of Primary Renal Aspergilloma in a 55-year-old male with diabetes mellitus, hypertension, and chronic liver disease. The individual presented with features of obstructive uropathy due to fungal balls requiring retrograde endoscopic intervention and drainage. The cheesy material retrieved during the procedure was identified as an Aspergilloma on histopathology. Due to far and fewer reports in the medical literature, there have been no standard diagnostic & management strategies, which in turn has resulted in unacceptably high More >

Dimindra Karki^*, Ghizlane Yaakoubi, Beth Edelblute, Ahmed Aboumohamed^*

Canadian Journal of Urology, Vol.32, No.5, pp. 501-507, 2025, DOI:10.32604/cju.2025.063294 - 30 October 2025

Abstract Background: Epithelioid angiomyolipoma (EAML) is an uncommon renal tumor variant with histologic and radiologic features that can mimic renal cell carcinoma (RCC) on imaging due to the paucity of fat compared to the classic AML. EAML may exhibit aggressive behavior, including local invasion, recurrence, and distant metastases to the liver, lungs, and lymph nodes. Although recent reports suggest that up to one-third of EAML cases may behave malignantly, variability in diagnostic criteria and limited case series contribute to uncertainty regarding its true clinical course. Case Description: This case report describes a 19-year-old female presenting with an… More >

Abubakar Elsafi^1,*, Arafat Abdulgader Mohammed Elhag², Lubna A. Gabralla³, Ali Ahmed⁴, Ashraf Osman Ibrahim⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 621-647, 2025, DOI:10.32604/cmes.2025.072726 - 30 October 2025

Abstract Energy efficiency stands as an essential factor when implementing deep reinforcement learning (DRL) policies for robotic control systems. Standard algorithms, including Deep Deterministic Policy Gradient (DDPG), primarily optimize task rewards but at the cost of excessively high energy consumption, making them impractical for real-world robotic systems. To address this limitation, we propose Physics-Informed DDPG (PI-DDPG), which integrates physics-based energy penalties to develop energy-efficient yet high-performing control policies. The proposed method introduces adaptive physics-informed constraints through a dynamic weighting factor (), enabling policies that balance reward maximization with energy savings. Our motivation is to overcome the… More >

Mohamed Hammad^1,2,*, Mohammed ElAffendi¹, Souham Meshoul^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1055-1086, 2025, DOI:10.32604/cmes.2025.072650 - 30 October 2025

Abstract Skin cancer is among the most common malignancies worldwide, but its mortality burden is largely driven by aggressive subtypes such as melanoma, with outcomes varying across regions and healthcare settings. These variations emphasize the importance of reliable diagnostic technologies that support clinicians in detecting skin malignancies with higher accuracy. Traditional diagnostic methods often rely on subjective visual assessments, which can lead to misdiagnosis. This study addresses these challenges by developing HybridFusionNet, a novel model that integrates Convolutional Neural Networks (CNN) with 1D feature extraction techniques to enhance diagnostic accuracy. Utilizing two extensive datasets, BCN20000 and… More >

Hanyu Tao^1,2, Dongye Sun^1,2, Tao Fang^1,2, Wenhu Zhao^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 521-536, 2025, DOI:10.32604/cmes.2025.072089 - 30 October 2025

Abstract Structural internal flaws often weaken the performance and integral stability, while traditional nondestructive testing or inversion methods face challenges of high cost and low efficiency in quantitative flaw identification. To quickly identify internal flaws within structures, a deep learning model for flaw detection is proposed based on the image quadtree scaled boundary finite element method (SBFEM) combined with a deep neural network (DNN). The training dataset is generated from the numerical simulations using the balanced quadtree algorithm and SBFEM, where the structural domain is discretized based on recursive decomposition principles and mesh refinement is automatically… More >

Mehmet Numan Kaya^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 327-343, 2025, DOI:10.32604/cmes.2025.072000 - 30 October 2025

Abstract This study investigates the influence of mesh resolution and turbulence model selection on the accuracy of numerical simulations for transonic flow, with particular emphasis on shock-boundary layer interaction phenomena. Accurate prediction of such flows is notoriously difficult due to the sensitivity to near-wall resolution, global mesh density, and turbulence model assumptions, and this problem motivates the present work. Two solvers were employed, rhoCentralFoam (unsteady) and TSLAeroFoam (steady-state), both are compressible and density-based and implemented within the OpenFOAM framework. The investigation focuses on three different non-dimensional wall distance (y⁺) values of 1, 2.5 and 5, each implemented… More >