2024
The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT
Miller R, Lemley M, Shanbhag A, Bednarski B, Liang J, Builoff V, Kavanagh P, Sharir T, Hauser M, Ruddy T, Fish M, Einstein A, Dorbala S, Di Carli M, Feher A, Miller E, Sinusas A, Halcox J, Martins M, Kaufmann P, Dey D, Berman D, Slomka P. The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT. Journal Of Nuclear Cardiology 2024, 38: 101926. DOI: 10.1016/j.nuclcard.2024.101926.Peer-Reviewed Original ResearchLinks Between Obstructive Sleep Apnea and Myocardial Blood Flow Changes Impacting Adverse Cardiovascular Disease-related Outcomes
Aneni E, Sinusas A, Emokpae M, Thorn S, Yaggi H, Miller E. Links Between Obstructive Sleep Apnea and Myocardial Blood Flow Changes Impacting Adverse Cardiovascular Disease-related Outcomes. Current Cardiology Reports 2024, 26: 723-734. PMID: 38806976, DOI: 10.1007/s11886-024-02072-z.Peer-Reviewed Original ResearchObstructive sleep apneaCoronary microvascular dysfunctionAbnormal myocardial blood flowSevere obstructive sleep apneaMyocardial flow reserveMyocardial blood flowSleep apneaModerate to severe obstructive sleep apneaAbnormal myocardial flow reserveRecent FindingsRecent studiesDisease-related outcomesBlood flow changesMyocardial blood flow changesCardiovascular disease-related outcomesMicrovascular dysfunctionClinical impactCPAPReviewRecent studiesStructural abnormalitiesCoronary microcirculationFindingsRecent studiesFlow reserveCardiac workBlood flowApneaTAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction
Guo X, Shi L, Chen X, Liu Q, Zhou B, Xie H, Liu Y, Palyo R, Miller E, Sinusas A, Staib L, Spottiswoode B, Liu C, Dvornek N. TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. Medical Image Analysis 2024, 96: 103190. PMID: 38820677, PMCID: PMC11180595, DOI: 10.1016/j.media.2024.103190.Peer-Reviewed Original ResearchGenerative adversarial networkAdversarial networkMotion estimation accuracyInter-frame motionIntensity-based image registration techniqueAll-to-oneSegmentation masksImage registration techniquesOriginal frameTemporal informationDiagnosis accuracyMyocardial blood flowEstimation accuracyFrame conversionPositron emission tomographyNovel methodImage qualityPET datasetsRegistration techniqueNetworkCardiac positron emission tomographyBlood flowDynamic cardiac positron emission tomographyMotion correctionCoronary artery diseaseLACK OF HEMODYNAMIC RESPONSE TO VASODILATOR STRESS IS ASSOCIATED WITH CARDIOVASCULAR EVENTS
Liang J, Miller R, Bednarski B, Lemley M, Shanbhag A, Sharir T, Hauser M, Ruddy T, Fish M, Bateman T, Acampa W, Einstein A, Dorbala S, Di Carli M, Miller E, Sinusas A, Halcox J, Martins M, Kaufmann P, Dey D, Berman D, Slomka P. LACK OF HEMODYNAMIC RESPONSE TO VASODILATOR STRESS IS ASSOCIATED WITH CARDIOVASCULAR EVENTS. Journal Of The American College Of Cardiology 2024, 83: 1393. DOI: 10.1016/s0735-1097(24)03383-7.Peer-Reviewed Original ResearchA COMPARATIVE ANALYSIS OF PET, CZT SPECT, AND CONVENTIONAL SPECT IN MODERN CARDIOLOGY
Ahmed A, Agarwal R, Khera R, Liu Y, Sinusas A, Miller E, Feher A. A COMPARATIVE ANALYSIS OF PET, CZT SPECT, AND CONVENTIONAL SPECT IN MODERN CARDIOLOGY. Journal Of The American College Of Cardiology 2024, 83: 1365. DOI: 10.1016/s0735-1097(24)03355-2.Peer-Reviewed Original ResearchArtificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging
Feher A, Bednarski B, Miller R, Shanbhag A, Lemley M, Miras L, Sinusas A, Miller E, Slomka P. Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266761. PMID: 38548351, PMCID: PMC11064832, DOI: 10.2967/jnumed.123.266761.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingHF hospitalizationHeart failureStress left ventricular ejection fractionPerfusion imagingHF exacerbationPredictive of HF hospitalizationsSPECT/CT myocardial perfusion imagingMyocardial perfusionInternational cohortAcute heart failure exacerbationMedian follow-upVentricular ejection fractionReceiver-operating-characteristic curveClinical risk factorsHeart failure exacerbationExternal validation cohortAcute HF exacerbationPrevent HF hospitalizationsImaging parametersCalcium scoreEjection fractionClinical parametersCT scanValidation cohortImpact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomography
Randazzo M, Elias P, Poterucha T, Sharir T, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Castillo M, Liang J, Miller R, Dey D, Berman D, Slomka P, Einstein A. Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomography. European Heart Journal - Cardiovascular Imaging 2024, 25: 996-1006. PMID: 38445511, PMCID: PMC11210974, DOI: 10.1093/ehjci/jeae055.Peer-Reviewed Original ResearchSPECT myocardial perfusion imagingMyocardial perfusion imagingCoronary artery diseaseCardiac sizeDetect obstructive coronary artery diseasePerfusion imagingObstructive coronary artery diseaseDetection of coronary artery diseaseNegative predictive valueLeft ventricular volumeSolid-state scannersSmall cardiac sizeCoronary angiographyMale patientsYounger patientsElderly patientsMale sexDiagnostic performanceVentricular volumeArtery diseaseVisual assessmentPatientsPredictive valueElderly ageSPECTClinical 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
CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients
Feher A, Pieszko K, Shanbhag A, Lemley M, Bednarski B, Miller R, Huang C, Miras L, Liu Y, Sinusas A, Slomka P, Miller E. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 695-706. PMID: 37924340, DOI: 10.1007/s00259-023-06484-x.Peer-Reviewed Original ResearchMajor adverse cardiac eventsMyocardial perfusion imagingSPECT myocardial perfusion imagingMACE-free survivalObese patientsPrognostic valueSignificant incremental prognostic valueYale-New Haven HospitalLate coronary revascularizationStress total perfusion deficitAdverse cardiac eventsIncremental prognostic valueNonfatal myocardial infarctionComposite end pointCT myocardial perfusion imagingSuperior prognostic valueSPECT/CT myocardial perfusion imagingTotal perfusion deficitNew Haven HospitalCT attenuation correctionHighest ROC areaStress TPDCoronary revascularizationCardiac eventsPatient populationComparison 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 analysisTAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction
Guo X, Shi L, Chen X, Zhou B, Liu Q, Xie H, Liu Y, Palyo R, Miller E, Sinusas A, Spottiswoode B, Liu C, Dvornek N. TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. Lecture Notes In Computer Science 2023, 14288: 64-74. PMID: 38464964, PMCID: PMC10923183, DOI: 10.1007/978-3-031-44689-4_7.Peer-Reviewed Original ResearchDuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT
Chen X, Zhou B, Xie H, Guo X, Zhang J, Duncan J, Miller E, Sinusas A, Onofrey J, Liu C. DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Analysis 2023, 88: 102840. PMID: 37216735, PMCID: PMC10524650, DOI: 10.1016/j.media.2023.102840.Peer-Reviewed Original ResearchConceptsCross-modality registrationConvolutional layersCo-attention mechanismMultiple convolutional layersCo-attention moduleDifferent convolutional layersMedical image registrationInput data streamDeep learning strategiesLow registration errorIntensity-based registration methodCardiac SPECTΜ-mapsDeep learningFeature fusionData streamsInput imageSource codeFeature mapsNeural networkImage registrationSpatial featuresRegistration performanceRegistration methodInput informationTime and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Pieszko K, Shanbhag A, Singh A, Hauser M, Miller R, Liang J, Motwani M, Kwieciński J, Sharir T, Einstein A, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Berman D, Dey D, Slomka P. Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. Npj Digital Medicine 2023, 6: 78. PMID: 37127660, PMCID: PMC10151323, DOI: 10.1038/s41746-023-00806-x.Peer-Reviewed Original ResearchAcute coronary syndromeMajor adverse cardiovascular eventsMyocardial perfusion imagingCause deathAdverse cardiovascular eventsModifiable risk factorsPrediction of deathPersonalized risk assessmentCardiovascular eventsCoronary syndromeClinical featuresPrognostic valueRisk factorsExternal cohortStandard clinical interpretationPerfusion imagingAbnormality measuresCardiac perfusionTime pointsPatients' explanationsClinical interpretationExternal validationDeathPatientsRisk assessmentUnsupervised 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 characteristicsCorrection to: Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
Feher A, Pieszko K, Miller R, Lemley M, Shanbhag A, Huang C, Miras L, Liu Y, Sinusas A, Miller E, Slomka P. Correction to: Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging. Journal Of Nuclear Cardiology 2023, 30: 860-863. PMID: 36598750, DOI: 10.1007/s12350-022-03196-x.Peer-Reviewed Original ResearchImpaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis
Feher A, Miller E, Peters D, Mojibian H, Sinusas A, Hinchcliff M, Baldassarre L. Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis. Rheumatology International 2023, 43: 849-858. PMID: 36894756, DOI: 10.1007/s00296-023-05294-6.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementLV-GLSSystemic sclerosisWorse survivalClinical indicationsImpaired left ventricular global longitudinal strainLeft ventricular global longitudinal strainPresence of LGECMR strainLV cardiac indexWorse LV-GLSLV ejection fractionCox regression analysisGlobal longitudinal strainLV cardiac outputGlobal radialCardiac indexOverall survivalRetrospective cohortEjection fractionPrognostic valueAdverse outcomesCardiac outputGadolinium enhancementRV strainCORONARY 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 ResearchIN PATIENTS UNDERGOING NUCLEAR MYOCARDIAL PERFUSION IMAGING, RHEUMATOID ARTHRITIS IS ASSOCIATED WITH INCREASED RISK OF ADVERSE CARDIOVASCULAR EVENTS INDEPENDENT OF MYOCARDIAL ISCHEMIA
Pires J, Oikonomou E, Agarwal R, Liu Y, miller E, Sinusas A, Feher A. IN PATIENTS UNDERGOING NUCLEAR MYOCARDIAL PERFUSION IMAGING, RHEUMATOID ARTHRITIS IS ASSOCIATED WITH INCREASED RISK OF ADVERSE CARDIOVASCULAR EVENTS INDEPENDENT OF MYOCARDIAL ISCHEMIA. Journal Of The American College Of Cardiology 2023, 81: 1467. DOI: 10.1016/s0735-1097(23)01911-3.Peer-Reviewed Original ResearchThe Association Between Obstructive Sleep Apnea and Abnormal 82Rubidium Cardiac PET Perfusion Myocardial Flow Reserve
Aneni E, Thorn S, Feher A, Hong Chen J, Sinusas A, Yaggi H, Miller E. The Association Between Obstructive Sleep Apnea and Abnormal 82Rubidium Cardiac PET Perfusion Myocardial Flow Reserve. JACC Cardiovascular Imaging 2023, 16: 856-858. PMID: 36881426, PMCID: PMC10718199, DOI: 10.1016/j.jcmg.2022.11.024.Peer-Reviewed Original Research
2022
High-Resolution and High-Sensitivity Spread Field Imaging to Differentiate Sub-endocardium and Sub-epicardium in Cardiac SPECT — A Preliminary Phantom Study
Mu Z, Palyo R, Goyal D, Sandoval V, Mu Z, Tao Z, Sinusas A, Miller E, Liu Y. High-Resolution and High-Sensitivity Spread Field Imaging to Differentiate Sub-endocardium and Sub-epicardium in Cardiac SPECT — A Preliminary Phantom Study. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399016.Peer-Reviewed Original ResearchTc-99m solutionHole imagesCardiac SPECTCardiac phantomMyocardial perfusion defectsField imagesParallel hole collimatorResolution of SPECTSub-endocardiumSubset expectation maximizationCZT detectorsSub-epicardiumHole collimatorPerfusion defectsHigh-resolutionOSEM algorithmCollimatorPhantom studyScanner configurationReconstruction technologyPhantomSPECT slicesTransmural perfusion gradientExpectation maximizationOSEM