2023
Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion imaging
Feher A, Pieszko K, Shanbhag A, Lemley M, Miller R, Huang C, Miras L, Liu Y, Gerber J, Sinusas A, Miller E, Slomka P. Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion imaging. The International Journal Of Cardiovascular Imaging 2023, 40: 185-193. PMID: 37845406, PMCID: PMC466934, DOI: 10.1007/s10554-023-02980-1.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsCoronary artery calcificationMyocardial perfusion imagingCT myocardial perfusion imagingSPECT/CT myocardial perfusion imagingArtery calcificationPrognostic valuePrior coronary stentingAdverse cardiovascular eventsSimilar prognostic valueSPECT myocardial perfusionREFINE SPECT registrySPECT/CTCardiovascular eventsCAC scoringCalcium scoreCoronary calcificationCoronary stentingPrognostic utilitySingle centerCoronary arteryLow doseMyocardial perfusionPerfusion imagingSurvival analysisUnsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
Williams M, Bednarski B, Pieszko K, Miller R, Kwiecinski J, Shanbhag A, Liang J, Huang C, Sharir T, Dorbala S, Di Carli M, Einstein A, Sinusas A, Miller E, Bateman T, Fish M, Ruddy T, Acampa W, Hauser M, Kaufmann P, Dey D, Berman D, Slomka P. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 50: 2656-2668. PMID: 37067586, PMCID: PMC10317876, DOI: 10.1007/s00259-023-06218-z.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseMyocardial perfusion imagingCause mortalityTotal perfusion deficitArtery diseaseRisk stratificationPerfusion deficitsHigher body mass indexTomography myocardial perfusion imagingMore diabetes mellitusSPECT myocardial perfusion imagingBetter risk stratificationRisk-stratify patientsBody mass indexREFINE SPECT registrySingle photon emissionDiabetes mellitusMass indexExternal cohortStress imagingMyocardial perfusionPatientsRisk phenotypePerfusion imagingImaging characteristics
2020
PROGNOSTIC IMPACT OF DIABETES IN PATIENTS WITH OR WITHOUT KNOWN CORONARY ARTERY DISEASE, RESULTS FROM THE REFINE SPECT REGISTRY
Han D, Otaki Y, Tzolos E, Klein E, Gransar H, Sharir T, Einstein A, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Liang J, Dey D, Berman D, Slomka P. PROGNOSTIC IMPACT OF DIABETES IN PATIENTS WITH OR WITHOUT KNOWN CORONARY ARTERY DISEASE, RESULTS FROM THE REFINE SPECT REGISTRY. Journal Of The American College Of Cardiology 2020, 75: 1796. DOI: 10.1016/s0735-1097(20)32423-2.Peer-Reviewed Original Research
2019
PREDICTING MAJOR ADVERSE CARDIAC EVENTS WITH COX NEURAL NETWORKS: RESULTS FROM THE REFINE SPECT REGISTRY
Slomka P, Betancur J, Otaki Y, Commandeur F, Sharir T, Einstein A, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Diniz M, Germano G, Dey D, Cooper L, Berman D. PREDICTING MAJOR ADVERSE CARDIAC EVENTS WITH COX NEURAL NETWORKS: RESULTS FROM THE REFINE SPECT REGISTRY. Journal Of The American College Of Cardiology 2019, 73: 1432. DOI: 10.1016/s0735-1097(19)32038-8.Peer-Reviewed Original Research