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 composition
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 followA 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