0000000000043404

AUTHOR

Silvia Tresoldi

showing 2 related works from this author

Prevalence and characteristics of coronary artery disease in a population with suspected ischaemic heart disease using CT coronary angiography: corre…

2008

Purpose. This study was undertaken to describe the correlation between the distribution of coronary artery disease (CAD) in a symptomatic population with suspected ischaemic heart disease, cardiovascular risk factors (RF) and clinical presentation. Materials and methods. We studied 163 patients (mean age 65.5 years; 101 men and 62 women) referred for multidetector computed tomography coronary angiography (MDCT-CA) to rule out CAD. The patients had no prior history of revascularisation or myocardial infarction. We analysed how the characteristics of CAD (severity and type of plaque) can change with the increase in RF and how they are related to different clinical presentations. Results. Pati…

Malemedicine.medical_specialtyCT coronary angiographyPopulationMyocardial IschemiaCoronary Artery DiseaseCoronary AngiographySensitivity and SpecificityCoronary artery diseasePredictive Value of TestsInternal medicineEpidemiologyPrevalencemedicineHumansrisk factorsRadiology Nuclear Medicine and imagingMyocardial infarctioneducationAgedNetherlandsNeuroradiologyeducation.field_of_studyFramingham Risk Scoremedicine.diagnostic_testbusiness.industryReproducibility of Resultssuspected coronary artery diseaseInterventional radiologyGeneral MedicineMiddle Agedmedicine.diseaseCT coronary angiography Risk factors Epidemiology Suspected coronary artery diseaseCardiologyFemaleepidemiologyPresentation (obstetrics)Tomography X-Ray ComputedSettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessRadiologia Medica
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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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