2019
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, Antoniades C. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography. European Heart Journal 2019, 40: 3529-3543. PMID: 31504423, PMCID: PMC6855141, DOI: 10.1093/eurheartj/ehz592.Peer-Reviewed Original ResearchConceptsPerivascular adipose tissueFat attenuation indexCoronary CT angiographyCardiac risk predictionCoronary perivascular adipose tissueMajor adverse cardiac eventsCT angiographyRisk predictionHigh-risk plaque featuresPerivascular fat attenuation indexRadiomic featuresAdverse cardiac eventsConsecutive eligible participantsSCOT-HEART trialTraditional risk stratificationCoronary artery diseaseCoronary calcium scoreStandard coronary CT angiographyAcute myocardial infarctionCoronary inflammationCardiac eventsArtery diseaseCalcium scoreCardiac surgeryMACE predictionDilation of the Proximal Thoracic Aorta in an Asymptomatic Primary Prevention Population Undergoing Noncontrast Chest Computed Tomography
Alashi A, Lang R, Seballos R, Feinleib S, Sukol R, Roselli EE, Svensson LG, Kalahasti V, Schoenhagen P, Flamm SD, Griffin BP, Desai MY. Dilation of the Proximal Thoracic Aorta in an Asymptomatic Primary Prevention Population Undergoing Noncontrast Chest Computed Tomography. Circulation 2019, 139: 557-558. PMID: 30586688, DOI: 10.1161/circulationaha.118.036191.Peer-Reviewed Original ResearchMeSH KeywordsAgedAortic Aneurysm, ThoracicAortographyAsymptomatic DiseasesComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseDilatation, PathologicEarly DiagnosisHumansIncidental FindingsMaleMiddle AgedPredictive Value of TestsPrimary PreventionUnited StatesVascular CalcificationConceptsAortic aneurysmDissection/rupturePrimary prevention populationCoronary artery calciumProximal thoracic aortaThoracic aortic aneurysmNoncontrast chestPrevention populationArtery calciumThoracic aortaSurgical techniqueSudden deathProximal ascendingTrue prevalenceImproved surveillanceAneurysmsEarly detectionDevastating diseaseDeathAortaChestMortalityPrevalenceDiseaseExsanguination
2018
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
2017
Aortic Cross-Sectional Area/Height Ratio and Outcomes in Patients With Bicuspid Aortic Valve and a Dilated Ascending Aorta
Masri A, Kalahasti V, Svensson LG, Alashi A, Schoenhagen P, Roselli EE, Johnston DR, Rodriguez LL, Griffin BP, Desai MY. Aortic Cross-Sectional Area/Height Ratio and Outcomes in Patients With Bicuspid Aortic Valve and a Dilated Ascending Aorta. Circulation Cardiovascular Imaging 2017, 10: e006249. PMID: 28592593, DOI: 10.1161/circimaging.116.006249.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnatomic LandmarksAortaAortic AneurysmAortic ValveAortographyBicuspid Aortic Valve DiseaseCause of DeathChi-Square DistributionComputed Tomography AngiographyDilatation, PathologicFemaleHeart Valve DiseasesHospital MortalityHumansKaplan-Meier EstimateMagnetic Resonance AngiographyMaleMiddle AgedMultidetector Computed TomographyMultivariate AnalysisOhioPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsBicuspid aortic valve patientsProximal ascending aortaAortic valve patientsBicuspid aortic valveAortic areaCardiovascular deathAscending aortaAortic surgeryValve patientsAortic valveMultivariable Cox survival analysisRight ventricular systolic pressureLong-term cardiovascular mortalityContrast-enhanced thoracicThoracic Surgeons scoreSevere aortic stenosisVentricular systolic pressureCox survival analysisMagnetic resonance angiographyHeight ratioAortic regurgitationCardiovascular mortalitySurgeons scoreAortic stenosisImproved survival