Featured Publications
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data
Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Centeno E, Thomas S, Herdman L, Kotanidis CP, Thomas KE, Griffin BP, Flamm SD, Antonopoulos AS, Shirodaria C, Sabharwal N, Deanfield J, Neubauer S, Hopewell JC, Channon KM, Achenbach S, Antoniades C. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. The Lancet 2018, 392: 929-939. PMID: 30170852, PMCID: PMC6137540, DOI: 10.1016/s0140-6736(18)31114-0.Peer-Reviewed Original ResearchMeSH KeywordsAdipocytesAdipose TissueAdolescentAdultAgedAged, 80 and overComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleFollow-Up StudiesHumansImaging, Three-DimensionalMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsProportional Hazards ModelsProspective StudiesRisk AssessmentSurvival AnalysisYoung AdultConceptsRight coronary arteryProximal right coronary arteryCardiac mortalityCoronary inflammationCoronary CTACoronary arteryDerivation cohortValidation cohortOutcome dataHealth Research Oxford Biomedical Research CentreCoronary artery disease indexHigh-risk plaque featuresPerivascular fat attenuation indexCoronary artery inflammationFat attenuation indexIntensive secondary preventionCardiovascular risk factorsResidual cardiovascular riskProspective outcome dataMajor coronary arteriesHounsfield unitsLeft circumflex arteryCox regression modelRisk predictionCardiac risk prediction
2021
Biomarkers of Vascular Inflammation for Cardiovascular Risk Prognostication A Meta-Analysis
Antonopoulos A, Angelopoulos A, Papanikolaou P, Simantiris S, Oikonomou E, Vamvakaris K, Koumpoura A, Farmaki M, Trivella M, Vlachopoulos C, Tsioufis K, Antoniades C, Tousoulis D. Biomarkers of Vascular Inflammation for Cardiovascular Risk Prognostication A Meta-Analysis. JACC Cardiovascular Imaging 2021, 15: 460-471. PMID: 34801448, DOI: 10.1016/j.jcmg.2021.09.014.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseVascular inflammationInflammatory biomarkersRisk stratificationPrognostic valueClinical risk factorsNet clinical benefitValue of biomarkersUse of biomarkersMeasurement of biomarkersMeta-regression analysisLack of reportingCardiovascular eventsCohort studyStable patientsEvent incidenceRisk prognosticationClinical benefitHeart diseaseRisk factorsRisk discriminationClinical practiceInflammationSuch biomarkersMeta-AnalysisStandardized measurement of coronary inflammation using cardiovascular computed tomography: integration in clinical care as a prognostic medical device
Oikonomou EK, Antonopoulos AS, Schottlander D, Marwan M, Mathers C, Tomlins P, Siddique M, Klüner LV, Shirodaria C, Mavrogiannis MC, Thomas S, Fava A, Deanfield J, Channon KM, Neubauer S, Desai MY, Achenbach S, Antoniades C. Standardized measurement of coronary inflammation using cardiovascular computed tomography: integration in clinical care as a prognostic medical device. Cardiovascular Research 2021, 117: 2677-2690. PMID: 34450625, DOI: 10.1093/cvr/cvab286.Peer-Reviewed Original ResearchMeSH KeywordsAdipose TissueAdiposityAdolescentAdultAgedAged, 80 and overAlgorithmsCloud ComputingComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDecision Support TechniquesEnglandFemaleGermanyHeart Disease Risk FactorsHumansInflammationMaleMiddle AgedNomogramsOhioPredictive Value of TestsPrognosisRisk AssessmentTime FactorsYoung AdultConceptsFat attenuation indexPerivascular fat attenuation indexRisk factor-based modelCoronary artery inflammationClinical risk factorsFatal cardiac eventsCoronary artery diseaseCoronary inflammationRisk factorsFAI scorePlaque metricsCardiac eventsArtery inflammationAbsolute riskCoronary arteryClinical careNon-invasive detectionTraditional cardiovascular risk factorsPatient's absolute riskCardiovascular risk factorsFat compositionNet clinical benefitCardiovascular risk predictionDecision curve analysisFirst-line modality
2020
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease
Oikonomou EK, Siddique M, Antoniades C. Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease. Cardiovascular Research 2020, 116: 2040-2054. PMID: 32090243, PMCID: PMC7585409, DOI: 10.1093/cvr/cvaa021.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCardiac computed tomographyNon-invasive imagingCardiovascular imagingCardiovascular diseaseNon-invasive cardiovascular imagingCardiac CTCardiovascular risk stratificationFirst-line optionImportant clinical implicationsRisk stratificationUnstable patientsClinical careComputed tomographyCurrent evidenceClinical implicationsCardiac imagingRadiomics approachPatientsRadiomics methodTissue biologyCardiovascular diagnosticsDiseaseFuture studiesImagingPhenotyping
2019
The Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis
Papanastasiou CA, Kokkinidis DG, Kampaktsis PN, Bikakis I, Cunha DK, Oikonomou EK, Greenwood JP, Garcia MJ, Karamitsos TD. The Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis. JACC Cardiovascular Imaging 2019, 13: 385-392. PMID: 31326491, DOI: 10.1016/j.jcmg.2019.03.029.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementAortic stenosisCardiac magnetic resonanceCause mortalityGadolinium enhancementLGE-CMRSystematic reviewA Systematic ReviewStrongest univariate predictorsRandom-effects modelBaseline characteristicsHazard ratioPrognostic roleRisk stratificationAdverse outcomesPrognostic valueUnivariate predictorsPooled analysisMyocardial fibrosisInclusion criteriaCardiac diseaseRegional fibrosisPatientsElectronic databasesMeta-Analysis
2015
The Role and Predictive Value of Cytokines in Atherosclerosis and Coronary Artery Disease.
Tousoulis D, Economou EK, Oikonomou E, Papageorgiou N, Siasos G, Latsios G, Kokkou E, Mourouzis K, Papaioannou S, Deftereos S, Cleman MW, Lymberi M, Gennimata V, Stefanadis C. The Role and Predictive Value of Cytokines in Atherosclerosis and Coronary Artery Disease. Current Medicinal Chemistry 2015, 22: 2636-50. PMID: 25876746, DOI: 10.2174/0929867322666150415145814.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAtherosclerosisCoronary Artery DiseaseCytokinesHumansPredictive Value of TestsTumor Necrosis Factor-alphaConceptsCoronary artery diseaseArtery diseaseChronic inflammatory diseasePathogenesis of atherosclerosisRole of cytokinesProcess of atherogenesisSmooth muscle cellsPrognostic significanceInflammatory diseasesAtherosclerotic plaquesPredictive valueAtherosclerosisCytokinesMuscle cellsTypes of cellsDiseaseMultiple effectsCellsCurrent informationInflammationAtherogenesisPathogenesisLeukocytesPlaques