Publications by authors named "Marco Mantarro"

Background/aim: Nowadays, Machine Learning (ML) algorithms have demonstrated remarkable progress in image-recognition tasks and could be useful for the new concept of precision medicine in order to help physicians in the choice of therapeutic strategies for brain tumours. Previous data suggest that, in the central nervous system (CNS) tumours, amino acid PET may more accurately demarcate the active disease than paramagnetic enhanced MRI, which is currently the standard method of evaluation in brain tumours and helps in the assessment of disease grading, as a fundamental basis for proper clinical patient management. The aim of this study is to evaluate the feasibility of ML on 11[C]-MET PET/CT scan images and to propose a radiomics workflow using a machine-learning method to create a predictive model capable of discriminating between low-grade and high-grade CNS tumours.

View Article and Find Full Text PDF

Introduction: Certolizumab pegol (CZP), an anti-tumor necrosis factor PEGylated Fab' fragment of a humanized monoclonal antibody, is currently approved for treatment of some immune-mediated inflammatory diseases (IMIDs). To our knowledge, no systematic review and meta-analysis evaluating the overall safety profile of CZP has been performed.

Objective: The objective of this systematic review was to assess the adverse event (AE) patterns of CZP versus a control in patients with IMIDs.

View Article and Find Full Text PDF

Statins, or 3-hydroxy-3-methyl-glutaryl coenzyme A reductase inhibitors, such as lovastatin, atorvastatin, simvastatin, pravastatin, fluvastatin, rosuvastatin and pitavastatin, are cholesterol-lowering drugs used in clinical practice to prevent coronary heart disease. These drugs are generally well tolerated and have been rarely associated with severe adverse effects (e.g.

View Article and Find Full Text PDF