0000000000700312

AUTHOR

Francesco Secchi

showing 2 related works from this author

Intravenous Contrast Material for Cardiac Computed Tomography

2023

Purpose: The Italian Registry of Contrast Material use in Cardiac Computed Tomography (iRCM-CCT) is a multicenter, multivendor, observational study on the use of contrast media (CM) in patients undergoing cardiac computed tomography (CCT). The aim of iRCM-CCT is to assess image quality and safety profile of intravenous CM compounds. Materials and methods: iRCM-CCT enrolled 1842 consecutive patients undergoing CCT (≥50 per site) at 20 cluster sites with the indication of suspected coronary artery disease. Demographic characteristics, CCT, and CM protocols, clinical indications, safety markers, radiation dose reports, qualitative (ie, poor vascular enhancement) and quantitative (ie, HU attenu…

safetyPulmonary and Respiratory MedicineSettore MED/36 - Diagnostica per Immagini e Radioterapiacoronary arteriecomputed tomography angiography; contrast media; coronary arteries; image enhancement; safetyRadiology Nuclear Medicine and imagingcomputed tomography angiography; contrast media; coronary arteries; image enhancement; safety;image enhancementcontrast mediacomputed tomography angiographycoronary arteriesimage enhancement contrast media safetycomputed tomography angiographycoronary arteriesimage enhancementcontrast mediasafetyJournal of Thoracic Imaging
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Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

2021

Pulmonary parenchymal and vascular damage are frequently reported in COVID-19 patients and can be assessed with unenhanced chest computed tomography (CT), widely used as a triaging exam. Integrating clinical data, chest CT features, and CT-derived vascular metrics, we aimed to build a predictive model of in-hospital mortality using univariate analysis (Mann–Whitney U test) and machine learning models (support vectors machines (SVM) and multilayer perceptrons (MLP)). Patients with RT-PCR-confirmed SARS-CoV-2 infection and unenhanced chest CT performed on emergency department admission were included after retrieving their outcome (discharge or death), with an 85/15% training/test dataset spli…

Medicine (miscellaneous)X-ray computedtomography030204 cardiovascular system & hematologyMachine learningcomputer.software_genreArticlelung030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinepulmonary arterymedicine.arterymedicinesupport vector machinecomputerUnivariate analysisLungbusiness.industryRArea under the curveCOVID-19Emergency departmentneural networksmachine learningmedicine.anatomical_structureRadiological weaponPulmonary arteryMann–Whitney U testMedicineprognosisArtificial intelligenceTomographybusinesscomputerJournal of Personalized Medicine
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