Publications by authors named "Mohamed Ali Badawy"
Purpose: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (PC) lesions by integrating multi-modality magnetic resonance imaging (MRI) and the clinical marker prostate-specific antigen (PSA). It addresses the limitations of Convolutional Neural Networks (CNNs) in capturing long-range spatial relations and the Vision Transformer (ViT)'s deficiency in localization information due to consecutive downsampling. The research question focuses on improving PC response prediction accuracy by combining both approaches.
View Article and Find Full Text PDFProstate cancer is a significant health concern with high mortality rates and substantial economic impact. Early detection plays a crucial role in improving patient outcomes. This study introduces a non-invasive computer-aided diagnosis (CAD) system that leverages intravoxel incoherent motion (IVIM) parameters for the detection and diagnosis of prostate cancer (PCa).
View Article and Find Full Text PDFBackground: The lack of overall experience and reporting on angiographic findings in previously published studies of renal arterial embolization (RAE) compelled us to report our overall experience on a series of patients.
Materials And Methods: A retrospective study was performed analyzing data of patients enrolled for RAE between 2010 and 2019. History, physical examination, and laboratory data were reviewed for all patients.
Article Synopsis
- The study aimed to identify factors that predict unsuccessful outcomes of renal angioembolization (RAE) to avoid unnecessary procedures and improve patient care.
- A retrospective analysis of 180 patients was conducted, revealing that 91% had successful outcomes, while the presence of an accessory renal artery was the only significant predictor of failure.
- The findings suggest that RAE can be effective regardless of the specific indication, and no other pre-procedural predictors were effective in forecasting the outcome.