Vinay Durbhakula^1,*, Ziv Savin¹, Einat Savin-Shalom², Stephanie L. Gold², Kavita Gupta¹, Eve Frangopoulos¹, Blair Gallante¹, William M. Atallah¹, Mantu Gupta¹

Canadian Journal of Urology, Vol.32, No.6, pp. 659-668, 2025, DOI:10.32604/cju.2025.067614 - 30 December 2025

Abstract Background: A well-established correlation exists between Inflammatory Bowel Disease (IBD) and urolithiasis. However, the influence of surgical history on the severity of urolithiasis in IBD patients remains underexplored. This study aims to investigate the association between gastrointestinal (GI) bowel resection and urolithiasis severity in patients with IBD. Methods: This retrospective cohort study analyzed 42 patients diagnosed with both IBD and urolithiasis between 2016 and 2024. Patients were categorized based on their history of bowel resection. Primary outcomes included maximal stone burden, need for urolithiasis surgery, and stone recurrence. Secondary outcomes were stone-related clinical events, multiple… More >

Avery R. Wolfe, Roger K. Khouri Jr., Raj R. Bhanvadia, Benjamin M. Dropkin, Gregory A. Joice, Sarah C. Sanders, Steven J. Hudak, Allen F. Morey

Canadian Journal of Urology, Vol.28, No.2, pp. 10589-10594, 2021

Abstract Introduction: Patient-reported pads per day use is a widely used metric in grading the severity of stress urinary incontinence and guiding surgical decision-making, particularly in mild-to-moderate cases. We sought to compare patient-reported stress urinary incontinence severity by pads per day with objective findings on standing cough test. We hypothesize that patient-reported pads per day often underestimates stress urinary incontinence severity.
Materials and methods: We retrospectively reviewed our male stress urinary incontinence surgical database and identified 299 patients with self-reported mild-to-moderate stress urinary incontinence who were evaluated with standing cough test prior to surgical intervention between 2007 and… More >

Prisca Eser^1,*, Thomas Gruber¹, Thimo Marcin¹, Claudia Boeni^1,2, Kerstin Wustmann³, Christina DeLuigi¹, Matthias Greutmann⁴, Daniel Tobler⁵, Markus Schwerzmann³, Matthias Wilhelm¹

Congenital Heart Disease, Vol.16, No.1, pp. 73-84, 2021, DOI:10.32604/CHD.2021.013051 - 23 December 2020

Abstract Background: The purpose of this study was to investigate whether patients with adult congenital heart disease (ACHD) benefit from exercise-based cardiac rehabilitation (CR) short- and long-term with regard to improvement of cardiorespiratory fitness. Methods: Cardiopulmonary exercise tests (CPET) completed by ACHD patients between January 2000 and October 2019 were analysed retrospectively. Linear mixed models were performed for peak oxygen consumption (VO₂) with patients as random effect and age, sex, disease classification, preceding surgery (≤3 months) and preceding CR (≤4 weeks for short term and >4 weeks for long term) as fixed effects. Results: 1056 CPETs of 311… More >

Yongqiang Li^1,#, Changxin Lai^1,#, Chengchen Zhang², Alexa Singer¹, Suhao Qiu¹, Boming Sun², Michael S. Sacks³, Yuan Feng^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 111-111, 2019, DOI:10.32604/mcb.2019.07098

Abstract Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain. Because placement affects performance, image guidance and robotic assistance techniques have been widely adopted. These methods require accurate prediction of brain deformation during and following implantation. In this study, a magnetic resonance (MR) image-based finite element (FE) model was proposed by using a coupled Eulerian-Lagrangian method. Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space. The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the… More >

Yongqiang Li^1,#, Changxin Lai^1,#, Chengchen Zhang², Alexa Singer¹, Suhao Qiu¹, Boming Sun², Michael S. Sacks³, Yuan Feng^1,*

Molecular & Cellular Biomechanics, Vol.16, No.4, pp. 245-251, 2019, DOI:10.32604/mcb.2019.07441

Abstract Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain. Because placement affects performance, image guidance and robotic assistance techniques have been widely adopted. These methods require accurate prediction of brain deformation during and following implantation. In this study, a magnetic resonance (MR) image-based finite element (FE) model was proposed by using a coupled Eulerian-Lagrangian method. Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space. The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the… More >