2025
Significance of Coronary Artery Calcifications and Ischemic Electrocardiographic Changes Among Patients Undergoing Myocardial Perfusion Imaging
Kokkinidis D, Kyriakoulis I, Chui P, Agarwal R, Liu Y, Khera R, Sinusas A, Velazquez E, Miller E, Feher A. Significance of Coronary Artery Calcifications and Ischemic Electrocardiographic Changes Among Patients Undergoing Myocardial Perfusion Imaging. JACC Advances 2025, 4: 101618. PMID: 39983619, PMCID: PMC11891677, DOI: 10.1016/j.jacadv.2025.101618.Peer-Reviewed Original ResearchCoronary artery calcificationMyocardial perfusion imagingIschemic ECG changesLow event ratesECG changesNormal perfusionArtery calcificationPerfusion imagingSingle-photon emission computed tomography/computed tomographyStress ECGCAC evaluationPresence of coronary artery calcificationSuspected coronary artery diseaseMedian follow-upEvent ratesIschemic electrocardiographic changesAnalysis to patientsComposite endpoint rateCoronary artery diseaseTomography/computed tomographyPrognostic informationMACE rateFollow-upSubgroup analysisAdverse outcomes
2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
Miller R, Bednarski B, Pieszko K, Kwiecinski J, Williams M, Shanbhag A, Liang J, Huang C, Sharir T, Hauser M, Dorbala S, Di Carli M, Fish M, Ruddy T, Bateman T, Einstein A, Kaufmann P, Miller E, Sinusas A, Acampa W, Han D, Dey D, Berman D, Slomka P. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. EBioMedicine 2024, 99: 104930. PMID: 38168587, PMCID: PMC10794922, DOI: 10.1016/j.ebiom.2023.104930.Peer-Reviewed Original ResearchMyocardial infarctionMyocardial perfusion imagingBlood InstituteNational HeartPharmacologic stressExternal testing cohortNormal imaging resultsRetrospective observational studyCoronary artery diseasePrevious myocardial infarctionRisk of deathNormal perfusion scanBritish Heart FoundationNational InstituteCluster 4 patientsDistinct phenotypesCardiovascular riskArtery diseaseRisk stratificationPerfusion scanNormal perfusionImaging featuresNormal scansMPI patientsHeart Foundation
2023
CORONARY ARTERY CALCIFICATIONS ARE A BETTER PREDICTOR OF CARDIOVASCULAR OUTCOMES THAN ISCHEMIC ECG CHANGES IN PATIENTS WITH NORMAL PERFUSION ON EXERCISE SPECT
Shi T, Kokkinidis D, Agarwal R, Liu Y, Sinusas A, Miller E, Feher A. CORONARY ARTERY CALCIFICATIONS ARE A BETTER PREDICTOR OF CARDIOVASCULAR OUTCOMES THAN ISCHEMIC ECG CHANGES IN PATIENTS WITH NORMAL PERFUSION ON EXERCISE SPECT. Journal Of The American College Of Cardiology 2023, 81: 1498. DOI: 10.1016/s0735-1097(23)01942-3.Peer-Reviewed Original Research
2022
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning
Singh A, Miller RJH, Otaki Y, Kavanagh P, Hauser MT, Tzolos E, Kwiecinski J, Van Kriekinge S, Wei CC, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Huang C, Han D, Dey D, Berman DS, Slomka PJ. Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning. JACC Cardiovascular Imaging 2022, 16: 209-220. PMID: 36274041, PMCID: PMC10980287, DOI: 10.1016/j.jcmg.2022.07.017.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingTotal perfusion deficitNonfatal myocardial infarctionMyocardial infarctionPerfusion imagingTomography myocardial perfusion imagingIschemic total perfusion deficitStress total perfusion deficitTesting groupReceiver-operating characteristic curvePatient-level riskPrediction of deathSingle photon emissionLogistic regression modelsCause mortalityPrimary outcomeHighest quartileRisk stratificationAbnormal perfusionNormal perfusionPerfusion deficitsAdverse event predictionPrognostic accuracyHigh riskMyocardial perfusionUnsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments
Bednarski B, Williams M, Pieszko K, Miller R, Huang C, Kwiecinski J, Sharir T, Di Carli M, Fish M, Ruddy T, Hasuer T, Miller E, Acampa W, Berman D, Slomka P. Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments. European Heart Journal 2022, 43: ehac544.300. DOI: 10.1093/eurheartj/ehac544.300.Peer-Reviewed Original ResearchMajor adverse cardiac eventsPeak systolic blood pressureSystolic blood pressureHigh-risk clustersRisk stratificationMyocardial perfusion imagingNormal perfusionHazard ratioBlood pressureCox proportional hazards analysisHigher left ventricular massHigher body mass indexTomography myocardial perfusion imagingNormal clinical assessmentRisk-stratified subgroupsAdverse cardiac eventsPrevalence of diabetesProportional hazards analysisBetter risk stratificationCoronary artery diseaseImproved risk stratificationManagement of patientsKaplan-Meier curvesBody mass indexLeft ventricular mass
2015
Reperfusion of Very Low Cerebral Blood Volume Lesion Predicts Parenchymal Hematoma After Endovascular Therapy
Mishra NK, Christensen S, Wouters A, Campbell BC, Straka M, Mlynash M, Kemp S, Cereda CW, Bammer R, Marks MP, Albers GW, Lansberg MG. Reperfusion of Very Low Cerebral Blood Volume Lesion Predicts Parenchymal Hematoma After Endovascular Therapy. Stroke 2015, 46: 1245-1249. PMID: 25828235, PMCID: PMC4414872, DOI: 10.1161/strokeaha.114.008171.Peer-Reviewed Original ResearchConceptsParenchymal hemorrhageIntravenous alteplaseEndovascular therapyBaseline imagingLesion volumeLow cerebral blood volumePerfusion Imaging EvaluationIschemic stroke patientsEndovascular reperfusion therapySingle independent predictorRoutine clinical practiceCerebral blood volumeMagnetic resonance imagingRegional reperfusionParenchymal hematomaReperfusion therapyIndependent predictorsEarly followRisk stratificationStroke patientsImaging evaluationNormal perfusionVLCBVBlood volumePatients
2004
Detection of Silent Myocardial Ischemia in Asymptomatic Diabetic Subjects
Wackers FJ, Young LH, Inzucchi SE, Chyun DA, Davey JA, Barrett EJ, Taillefer R, Wittlin SD, Heller GV, Filipchuk N, Engel S, Ratner RE, Iskandrian AE. Detection of Silent Myocardial Ischemia in Asymptomatic Diabetic Subjects. Diabetes Care 2004, 27: 1954-1961. PMID: 15277423, DOI: 10.2337/diacare.27.8.1954.Peer-Reviewed Original ResearchConceptsSilent myocardial ischemiaType 2 diabetesCardiac risk factorsMyocardial ischemiaAsymptomatic patientsSilent ischemiaNormal perfusionRisk factorsTraditional cardiac risk factorsAmerican Diabetes Association guidelinesTomography myocardial perfusion imagingRegional myocardial perfusion abnormalitiesAbnormal stress testAsymptomatic diabetic subjectsAsymptomatic Diabetics (DIAD) studyCurrent American Diabetes AssociationPrevalence of ischemiaCardiac autonomic dysfunctionLarge perfusion defectsST-segment depressionCoronary artery diseaseAmerican Diabetes AssociationMyocardial perfusion abnormalitiesMyocardial perfusion imagingStrongest predictor
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