2020
A novel arterial redox-specific machine learning-derived radiomic signature of perivascular adipose tissue predicts cardiac mortality from routine CCTA
Kotanidis C, Akawi N, Thomas S, Siddique M, Oikonomou E, Alashi A, Akoumianakis I, Antonopoulos A, Krasopoulos G, Sayeed R, Neubauer S, Channon K, Desai M, Antoniades C. A novel arterial redox-specific machine learning-derived radiomic signature of perivascular adipose tissue predicts cardiac mortality from routine CCTA. European Heart Journal 2020, 41: ehaa946.1372. DOI: 10.1093/ehjci/ehaa946.1372.Peer-Reviewed Original ResearchArterial oxidative stressMajor adverse cardiovascular eventsVascular redox stateInternal mammary arteryVascular oxidative stressCardiac riskArm 2Radiomics signatureOxidative stressArm 3Arm 1High-risk plaque featuresEpicardial adipose tissue volumeFat attenuation indexFuture cardiac riskRadiomic featuresAdverse cardiovascular eventsPerivascular adipose tissueCardiac risk predictionAdipose tissue volumeBritish Heart FoundationLucigenin-enhanced chemiluminescenceEx vivo quantificationLong-term riskAdipose tissue compositionOP3 Improved cardiac risk stratification in individuals with high risk plaque features using the perivascular fat attenuation index on CCTA
Kotanidis C, Oikonomou E, Marwan M, Kluener L, Thomas K, Alashi A, Antonopoulos A, Shirodaria C, Neubauer S, Channon K, Achenbach S, Desai M, Antoniades C. OP3 Improved cardiac risk stratification in individuals with high risk plaque features using the perivascular fat attenuation index on CCTA. Heart 2020, 106: a1-a2. DOI: 10.1136/heartjnl-2020-bsci.3.Peer-Reviewed Original ResearchFat attenuation indexHigh-risk plaquesPerivascular fat attenuation indexAdjusted riskCardiac riskHRP featuresHigh-risk plaque featuresMajor adverse cardiac eventsProximal right coronary arteryAdditive predictive valueAdverse cardiac eventsLow-attenuation plaqueRight coronary arteryCardiac risk stratificationCox regression modelNapkin-ring signAdipose tissue compositionCoronary inflammationCardiac mortalityInflammatory burdenCardiac eventsSpotty calcificationRisk stratificationPlaque featuresCoronary artery
2019
3258Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography
Oikonomou E, Marwan M, Mancio J, Kotanidis C, Thomas K, Alashi A, Centeno E, Antonopoulos A, Shirodaria C, Neubauer S, Channon K, Achenbach S, Desai M, Antoniades C. 3258Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography. European Heart Journal 2019, 40: ehz745.0049. DOI: 10.1093/eurheartj/ehz745.0049.Peer-Reviewed Original ResearchFat attenuation indexHigh-risk plaquesPerivascular fat attenuation indexAdverse cardiac eventsRisk of MACECoronary inflammationCardiac eventsCardiac riskTomography angiographyHRP featuresFuture major adverse cardiac eventsRoutine CCTAHigh-risk plaque featuresMajor adverse cardiac eventsPlaque morphologyLow-attenuation plaquePerivascular adipose tissueRight coronary arteryNapkin-ring signInflammation-induced changesBritish Heart FoundationAdipose tissue compositionBiomedical Research CentreHRP patientsMedian followP6152Incremental prognostic utility of functionally non-significant coronary stenosis in patients undergoing coronary computed tomogram angiography
Alashi A, Huttcenteno E, Schoenhagen P, Popovic Z, Cremer P, Kalahasti V, Jellis C, Renapurkar R, Rodriguez L, Flamm S, Desai M. P6152Incremental prognostic utility of functionally non-significant coronary stenosis in patients undergoing coronary computed tomogram angiography. European Heart Journal 2019, 40: ehz746.0758. DOI: 10.1093/eurheartj/ehz746.0758.Peer-Reviewed Original ResearchHigh-risk plaque featuresCoronary artery diseasePlaque featuresModerate stenosisPrognostic utilityPrognostic valueNon-significant coronary artery diseaseHigh pre-test likelihoodMultivariable Cox survival analysisNon-significant coronary stenosisPrior coronary artery diseaseSevere coronary artery diseaseLong-term event ratesFractional flow reserve assessmentComposite of deathIncremental prognostic valueIntermediate-risk patientsMinimal luminal irregularitiesNonobstructive coronary plaqueLong-term freedomEpicardial coronary arteriesHistory of smokingPre-test likelihoodTraditional risk factorsIncremental prognostic utilityA 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 prediction
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