2024
Artificial 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 cohortClinical spectrum of Transthyretin amyloidogenic mutations among diverse population origins
De Lillo A, Pathak G, Low A, De Angelis F, Abou Alaiwi S, Miller E, Fuciarelli M, Polimanti R. Clinical spectrum of Transthyretin amyloidogenic mutations among diverse population origins. Human Genomics 2024, 18: 31. PMID: 38523305, PMCID: PMC10962184, DOI: 10.1186/s40246-024-00596-7.Peer-Reviewed Original ResearchConceptsCardiac congenital anomaliesAmyloidogenic mutationsCross-ancestry meta-analysisCongenital anomaliesComplex genotype-phenotype correlationsVal122Ile mutationGenotype-phenotype correlationPeripheral nerve disordersHereditary form of amyloidosisAncestry-specificCross-ancestryEuropean-descent individualsEast AsiansTTR-related amyloidosisIndividuals of African descentPopulation originClinical presentationAtrioventricular blockClinical spectrumDelayed diagnosisTTR mutationsAfrican descentNerve disordersTransthyretin mutationMutations
2023
Prevalence and significance of extracardiac uptake on pyrophosphate imaging in the SCAN-MP study: the first 379 cases.
Chan N, Einstein A, Griffin J, Rosenblum H, Teruya S, Cuomo M, De Los Santos J, DeLuca A, Johnson L, Kinkhabwala M, Leb J, Mintz A, Fine D, Helmke S, Muralidhar V, Pandey S, Sabogal N, Saith S, Winburn M, Smiley D, Miller E, Ruberg F, Maurer M. Prevalence and significance of extracardiac uptake on pyrophosphate imaging in the SCAN-MP study: the first 379 cases. Journal Of Nuclear Cardiology 2023, 30: 2531-2539. PMID: 38245059, DOI: 10.1007/s12350-023-03310-7.Peer-Reviewed Original ResearchConceptsTc-99m PYP uptakeExtracardiac uptakeATTR-CACardiac amyloidosisClinically actionable findingsDiagnose transthyretin cardiac amyloidosisTc-99Transthyretin cardiac amyloidosisBone uptakeTime of scanningBreast uptakeTc-99m PYP imagingThyroid uptakeHeart failureBlack raceRenal uptakeNuclear imagingPyrophosphate imagingTechnetium pyrophosphateHispanic ethnicityHispanic participantsNuclear scintigraphyMinority populationsClinicSelf-identifyComparison 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 analysisSevere aortic stenosis detection by deep learning applied to echocardiography
Holste G, Oikonomou E, Mortazavi B, Coppi A, Faridi K, Miller E, Forrest J, McNamara R, Ohno-Machado L, Yuan N, Gupta A, Ouyang D, Krumholz H, Wang Z, Khera R. Severe aortic stenosis detection by deep learning applied to echocardiography. European Heart Journal 2023, 44: 4592-4604. PMID: 37611002, PMCID: PMC11004929, DOI: 10.1093/eurheartj/ehad456.Peer-Reviewed Original ResearchConceptsSevere aortic stenosisDetection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha V, Nargesi A, Dhingra L, Khunte A, Mortazavi B, Ribeiro A, Banina E, Adeola O, Garg N, Brandt C, Miller E, Ribeiro A, Velazquez E, Giatti L, Barreto S, Foppa M, Yuan N, Ouyang D, Krumholz H, Khera R. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation 2023, 148: 765-777. PMID: 37489538, PMCID: PMC10982757, DOI: 10.1161/circulationaha.122.062646.Peer-Reviewed Original ResearchConceptsLV systolic dysfunctionYale-New Haven HospitalVentricular systolic dysfunctionSystolic dysfunctionLV ejection fractionBrazilian Longitudinal StudyNew Haven HospitalEjection fractionCardiology clinicRegional hospitalLeft ventricular systolic dysfunctionCedars-Sinai Medical CenterAdult Health (ELSA-Brasil) cohortClinical Penetrance of the Transthyretin V122I Variant in Older Black Patients With Heart Failure: The SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study
Madhani A, Sabogal N, Massillon D, Paul L, Rodriguez C, Fine D, Helmke S, Winburn M, Kurian D, Raiszadeh F, Teruya S, Cohn E, Einstein A, Miller E, Connors L, Maurer M, Ruberg F. Clinical Penetrance of the Transthyretin V122I Variant in Older Black Patients With Heart Failure: The SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study. Journal Of The American Heart Association 2023, 12: e028973. PMID: 37486082, PMCID: PMC10492994, DOI: 10.1161/jaha.122.028973.Peer-Reviewed Original ResearchConceptsATTR-CMHeart failurePrealbumin concentrationsLeft ventricular wall thicknessPhenotypic penetranceHereditary ATTR-CMOlder black patientsAdvanced heart failureV122I variantVentricular wall thicknessProspective multisite studyYears of ageBlack individualsPyrophosphate imagingEchocardiographic parametersUnderdiagnosed causeBlack patientsSelf-identified Black individualsHF controlsClinical penetrancePrevalenceHispanic individualsMultisite studyBlack participantsPatientsPrevalence and significance of extracardiac uptake on pyrophosphate imaging in the SCAN-MP study: the first 379 cases
Chan N, Einstein A, Griffin J, Rosenblum H, Teruya S, Cuomo M, De Los Santos J, DeLuca A, Johnson L, Kinkhabwala M, Leb J, Mintz A, Fine D, Helmke S, Muralidhar V, Pandey S, Sabogal N, Saith S, Winburn M, Smiley D, Miller E, Ruberg F, Maurer M. Prevalence and significance of extracardiac uptake on pyrophosphate imaging in the SCAN-MP study: the first 379 cases. Journal Of Nuclear Cardiology 2023, 30: 2531-2539. PMID: 37311914, DOI: 10.1007/s12350-023-03310-7.Peer-Reviewed Original ResearchConceptsExtracardiac uptakePYP uptakeCardiac amyloidosisBone uptakeActionable findingsTiming of scansTransthyretin cardiac amyloidosisHeart failureBreast uptakeMean ageBlack raceRenal uptakeHispanic ethnicityThyroid uptakeATTR-CANuclear scintigraphyHispanic participantsTechnetium pyrophosphateNuclear imagingPYP scanPopulation studiesSelf-identified BlackAdditional testingAmyloidosisSubjectsDuSFE: 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 informationDesign and Rationale the SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study
Ruberg F, Blaner W, Chiuzan C, Connors L, Einstein A, Fine D, Helmke S, Kurian D, Pandey S, Raiszadeh F, Rodriguez C, Sabogal N, Teruya S, Winburn M, Chung W, Cohn E, Miller E, Kelly J, Maurer M. Design and Rationale the SCAN‐MP (Screening for Cardiac Amyloidosis With Nuclear Imaging in Minority Populations) Study. Journal Of The American Heart Association 2023, 12: e028534. PMID: 37066788, PMCID: PMC10227254, DOI: 10.1161/jaha.122.028534.Peer-Reviewed Original ResearchConceptsATTR-CMHeart failureHealth/National HeartOlder black patientsYears of ageCaribbean Hispanic patientsDeposition of transthyretinNoninvasive nuclear imagingBlack patientsHispanic patientsProspective studyBlood InstituteSelf-identified Black individualsNational HeartCardiac amyloidosisUS FoodImportant causeSecondary objectiveOlder individualsSubstitution of valineHispanic individualsNuclear imagingNational InstituteBlack individualsPatientsUnsupervised 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 characteristicsImpaired 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 strainDiagnostic performance characteristics of planar quantitative and semi-quantitative parameters of Tc99m pyrophosphate (PYP) imaging for diagnosis of transthyretin (ATTR) cardiac amyloidosis: the SCAN-MP study
Pandey S, Teruya S, Rodriguez C, Deluca A, Kinkhabwala M, Johnson L, Fine D, Sabogal N, Winburn M, Castillo M, Bhatia K, Malkovskaya R, Raiszadeh F, Kurian D, Miller E, Einstein A, Maurer M, Ruberg F. Diagnostic performance characteristics of planar quantitative and semi-quantitative parameters of Tc99m pyrophosphate (PYP) imaging for diagnosis of transthyretin (ATTR) cardiac amyloidosis: the SCAN-MP study. Journal Of Nuclear Cardiology 2023, 30: 1414-1419. PMID: 36823486, PMCID: PMC11268194, DOI: 10.1007/s12350-023-03203-9.Peer-Reviewed Original ResearchConceptsTransthyretin cardiac amyloidosisATTR-CACardiac amyloidosisLow pretest probabilityLow pretest likelihoodLV wall thicknessDiagnostic performance characteristicsPositive predictive valueNon-invasive diagnosisConclusionAmong patientsMinority older adultsHeart failurePretest likelihoodPretest probabilitySemi-quantitative parametersPYP uptakeImportant misclassificationPredictive valueImaging thresholdsOptimal heartOlder adultsDiagnostic performancePatientsReference standardScansThe 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
Quantification of intramyocardial blood volume using 99mTc-RBC SPECT/CT: a pilot human study
Yousefi H, Shi L, Soufer A, Tsatkin V, Bruni W, Avendano R, Greco K, McMahon D, Thorn S, Miller E, Sinusas A, Liu C. Quantification of intramyocardial blood volume using 99mTc-RBC SPECT/CT: a pilot human study. Journal Of Nuclear Cardiology 2022, 30: 292-297. PMID: 36319815, DOI: 10.1007/s12350-022-03123-0.Peer-Reviewed Original ResearchPET Myocardial Blood Flow for Post-transplant Surveillance and Cardiac Allograft Vasculopathy in Heart Transplant Recipients
Feher A, Miller EJ. PET Myocardial Blood Flow for Post-transplant Surveillance and Cardiac Allograft Vasculopathy in Heart Transplant Recipients. Current Cardiology Reports 2022, 24: 1865-1871. PMID: 36279035, DOI: 10.1007/s11886-022-01804-3.Peer-Reviewed Original ResearchConceptsHeart transplant recipientsAllograft vasculopathyTransplant recipientsPositron emission tomography myocardial perfusionOverall graft survivalPost-transplant surveillanceCardiac allograft vasculopathyHeart transplant patientsTomography myocardial perfusionRecent FindingsMultiple studiesMyocardial perfusion imagingMyocardial blood flowMBF quantificationGraft survivalHeart transplantationTransplant patientsTransplant rejectionSerial monitoringPrognostic performancePET myocardial blood flowBlood flowMyocardial perfusionPerfusion imagingMBF assessmentBlood flow quantificationDirect 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 perfusionDeep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
Miller R, Pieszko K, Shanbhag A, Feher A, Lemley M, Killekar A, Kavanagh PB, Van Kriekinge SD, Liang JX, Huang C, Miller EJ, Bateman T, Berman DS, Dey D, Slomka PJ. Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events. Journal Of Nuclear Medicine 2022, 64: 652-658. PMID: 36207138, PMCID: PMC10071789, DOI: 10.2967/jnumed.122.264423.Peer-Reviewed Original ResearchMitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images
Miller RJH, Singh A, Otaki Y, Tamarappoo BK, Kavanagh P, Parekh T, Hu LH, Gransar H, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli MF, Liang JX, Dey D, Berman DS, Slomka PJ. Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 50: 387-397. PMID: 36194270, PMCID: PMC10042590, DOI: 10.1007/s00259-022-05972-w.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseMyocardial perfusion imagingArtery diseaseInvasive angiographyObstructive coronary artery diseaseDisease probabilityLow-risk patientsLow-risk populationHigh-risk populationTotal perfusion deficitHigh diagnostic accuracyS-TPDPerfusion deficitsPatient managementPatientsPerfusion imagingDiagnostic accuracyPerfusion SPECT imagesLower likelihoodGood calibrationCharacteristic curveAngiographySPECT imagesSelection biasDiseaseIntegration 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 YH, Sinusas AJ, Miller EJ, Slomka PJ. 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 2022, 30: 590-603. PMID: 36195826, DOI: 10.1007/s12350-022-03099-x.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsMyocardial perfusion imagingAdverse cardiovascular eventsSPECT myocardial perfusion imagingCAC scoringCardiovascular eventsPrediction of MACECoronary artery calcification (CAC) scoringMACE-free survivalClinical risk factorsCoronary artery calciumCT myocardial perfusion imagingReceiver operator characteristic curveSPECT/CT myocardial perfusion imagingSPECT/CTOperator characteristic curveCT myocardial perfusionArtery calciumCAC scoreAnalysis patientsMACE predictionSingle centerHigher event ratesRisk factorsRisk score