Publications by authors named "F Silvestrini Biavati"
Article Synopsis
- * Using data from 1514 patients, the model demonstrated a sensitivity of 73.2% and a high specificity of 97.8%, showing it could correctly identify calcium in coronary artery segments.
- * The model's performance was comparable to human observers, indicating that this automated approach has strong potential for classifying coronary artery calcification efficiently.
Background Coronary artery calcium (CAC) has prognostic value for major adverse cardiovascular events (MACE) in asymptomatic individuals, whereas its role in symptomatic patients is less clear. Purpose To assess the prognostic value of CAC scoring for MACE in participants with stable chest pain initially referred for invasive coronary angiography (ICA). Materials and Methods This prespecified subgroup analysis from the Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) trial, conducted between October 2015 and April 2019 across 26 centers in 16 countries, focused on adult patients with stable chest pain referred for ICA.
View Article and Find Full Text PDFObjectives: To determine the perspective of final-year medical students on the use of computed tomography (CT) in patients with sepsis.
Methods: A total of 207 questionnaires were distributed to final-year medical students at a large university medical center, and 113 returned questionnaires met the criteria for inclusion in the analysis. Questions referred to sepsis guidelines, CT indications, and the use of contrast agents.
Objectives: Coronary computed tomography angiography (CCTA) has higher diagnostic accuracy than coronary artery calcium (CAC) score for detecting obstructive coronary artery disease (CAD) in patients with stable chest pain, while the added diagnostic value of combining CCTA with CAC is unknown. We investigated whether combining coronary CCTA with CAC score can improve the diagnosis of obstructive CAD compared with CCTA alone.
Methods: A total of 2315 patients (858 women, 37%) aged 61.