Publications by authors named "M G Sabini"
Dengue is an emerging disease of high impact on human health. Plants are an important source of new antivirals and stands for its biological properties. The aim of this study was to evaluate the cytotoxicity and antiviral activity and elucidate the antiviral mechanism of ethanolic extracts from against dengue virus 2 (DENV-2).
View Article and Find Full Text PDFThe aim of this study is to investigate the role of [F]-PSMA-1007 PET in differentiating high- and low-risk prostate cancer (PCa) through a robust radiomics ensemble model. This retrospective study included 143 PCa patients who underwent [F]-PSMA-1007 PET/CT imaging. PCa areas were manually contoured on PET images and 1781 image biomarker standardization initiative (IBSI)-compliant radiomics features were extracted.
View Article and Find Full Text PDF5-Fluorouracil (5-FU) is an antineoplastic agent known for its low bioavailability and limited cellular penetration, often resulting in adverse effects on healthy cells. Thus, finding vehicles that enhance bioavailability, enable controlled release, and mitigate adverse effects is crucial. The study focuses on encapsulating 5-FU within soy lecithin vesicles (SLVs) and assessing its impact on the carrier's properties and functionality.
View Article and Find Full Text PDFGlioblastoma (GBM), a WHO grade IV glioma, is a malignant primary brain tumour for which combination of surgery, chemotherapy and radiotherapy is the first-line approach despite adverse effects. Tumour microenvironment (TME) is characterized by an interplay of cells and soluble factors holding a critical role in neoplastic development. Significant pathophysiological changes have been found in GBM TME, such as glia activation and oxidative stress.
View Article and Find Full Text PDFArticle Synopsis
- Radiomics is a developing field in clinical decision-making, facing challenges with standardization, particularly in segmentation methods, which affect reproducibility and robustness of studies.
- The study examined the effects of three segmentation methods (manual, thresholding, region growing) on radiomics features from PET images of patients, identifying 1781 features, and assessed their reproducibility using the intra class correlation coefficient (ICC).
- Results indicated that segmentation choice significantly impacts feature reproducibility, with Shape features being the least reproducible, while GLCM features showed the highest consistency, underscoring the need for standardized segmentation approaches in radiomics research.