2023
Unsupervised 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
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 perfusionDifferences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study
Tamarappoo BK, Otaki Y, Sharir T, Hu LH, Gransar H, Einstein AJ, Fish MB, Ruddy TD, Kaufmann P, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Eisenberg E, Liang JX, Dey D, Berman DS, Slomka PJ. Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study. Circulation Cardiovascular Imaging 2022, 15: e012741. PMID: 35727872, PMCID: PMC9307118, DOI: 10.1161/circimaging.121.012741.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsTotal perfusion defectPrognostic valuePerfusion defectsSingle photon emissionLarge international multicenter studyMyocardial perfusion single-photon emissionPerfusion single-photon emissionStress SPECT myocardial perfusion imagingSPECT myocardial perfusion imagingAdverse cardiac eventsMACE-free survivalMultivariable Cox modelSingle-center studyGreater prognostic valueInternational multicenter studyProportional hazards modelMyocardial perfusion defectsMyocardial perfusion imagingREFINE SPECT registryConventional single-photon emissionCardiac eventsHazard ratioEjection fractionMulticenter study
2021
Methods of Sentinel Lymph Node Identification in Auricular Melanoma
Noorbakhsh S, Papageorge M, Maina RM, Baumann R, Moores C, Weiss SA, Pucar D, Ariyan S, Olino K, Clune J. Methods of Sentinel Lymph Node Identification in Auricular Melanoma. Plastic & Reconstructive Surgery Global Open 2021, 9: e4004. PMID: 34938645, PMCID: PMC8687720, DOI: 10.1097/gox.0000000000004004.Peer-Reviewed Original ResearchAuricular melanomaSentinel nodesLymphatic drainage patternsIntraoperative identificationSentinel lymphPlanar lymphoscintigraphyPreoperative imagingPreoperative mappingSPECT-CTSentinel lymph node identificationCareful intraoperative evaluationMore sentinel nodesSentinel node identificationSentinel lymph nodesLymph node identificationSingle photon emissionMicrometastatic diseaseLymph nodesRetrospective reviewPreoperative identificationIntraoperative evaluationComputerized tomographyMelanomaNode identificationLymphoscintigraphyEvaluating dopamine transporter imaging as an enrichment biomarker in a phase 2 Parkinson’s disease trial
Hutchison R, Evans K, Fox T, Yang M, Barakos J, Bedell B, Cedarbaum J, Brys M, Siderowf A, Lang A. Evaluating dopamine transporter imaging as an enrichment biomarker in a phase 2 Parkinson’s disease trial. BMC Neurology 2021, 21: 459. PMID: 34814867, PMCID: PMC8609885, DOI: 10.1186/s12883-021-02470-8.Peer-Reviewed Original ResearchConceptsDAT-SPECTParkinson's diseaseClinical trialsDisease trialsPhase 2 trialDopaminergic nerve terminalsEarly Parkinson's diseaseDisease-modifying therapiesIdiopathic Parkinson's diseaseMulticenter clinical trialParkinson's disease trialStudy design aspectsSingle photon emissionStages of progressionDegenerative parkinsonismEnrichment biomarkerResultsIn totalClinical assessmentNerve terminalsBlinded neuroradiologistsClinical diagnosisDopamine transporterMonoclonal antibodiesCentral laboratoryTrialsNovel SPECT and PET Tracers and Myocardial Imaging
Melvinsdottir I, Avendaño R, Sinusas A. Novel SPECT and PET Tracers and Myocardial Imaging. 2021, 189-228. DOI: 10.1007/978-3-030-83167-7_11.Peer-Reviewed Original ResearchPositron emission tomographyPET imagingMultimodality cardiovascular imagingSingle photon emissionRisk stratificationPathophysiological changesCardiac functionMyocardial remodelingMyocardial diseaseAutonomic regulationMyocardial imagingEmission tomographyHigh-resolution anatomicalMyocardial flowCardiovascular imagingPET tracersNovel SPECTMolecular changesSPECTPhoton emissionHybrid imaging technologyCell deathVivo detectionMolecular imagingImagingImpact of age, sex, and cardiac size on the diagnostic performance of myocardial perfusion single-photon emission computed tomography: insights from the REFINE SPECT registry
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, Berman D, Slomka P, Einstein A. Impact of age, sex, and cardiac size on the diagnostic performance of myocardial perfusion single-photon emission computed tomography: insights from the REFINE SPECT registry. European Heart Journal 2021, 42: ehab724.0254. DOI: 10.1093/eurheartj/ehab724.0254.Peer-Reviewed Original ResearchCoronary artery diseaseElderly patientsImpact of ageSingle photon emissionDiagnostic performanceYounger patientsFemale patientsCardiac sizeSPECT-MPILower EDVCardiac volumesObstructive coronary artery diseasePrediction of CADTomography myocardial perfusion imagingMyocardial perfusion single-photon emissionDiagnostic accuracyPerfusion single-photon emissionCardiac event rateStress total perfusion deficitReceiver-operating characteristic curveInvasive coronary angiographyEnd-diastolic volumeCardiac chamber sizeAlternative diagnostic modalityTotal perfusion deficitPrognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT Registry
Kuronuma K, Miller RJH, Otaki Y, Van Kriekinge SD, Diniz MA, Sharir T, Hu LH, Gransar H, Liang JX, Parekh T, Kavanagh PB, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Prognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT Registry. Circulation Cardiovascular Imaging 2021, 14: e012386. PMID: 34281372, PMCID: PMC8978932, DOI: 10.1161/circimaging.120.012386.Peer-Reviewed Original ResearchMeSH KeywordsAgedCanadaCoronary CirculationDisease ProgressionFemaleHumansIncidenceIsraelMaleMiddle AgedMyocardial IschemiaMyocardial Perfusion ImagingPredictive Value of TestsPrognosisRegistriesRisk AssessmentRisk FactorsStroke VolumeTomography, Emission-Computed, Single-PhotonUnited StatesVentricular Function, LeftConceptsMajor adverse cardiac eventsVentricular ejection fractionTotal perfusion deficitSingle photon emissionAdverse cardiac eventsEjection fractionPerfusion deficitsCardiac eventsPrognostic valueTomography myocardial perfusion imagingVentricular ejection fraction assessmentHighest decile groupProportional hazards analysisTomography myocardial perfusionIndependent prognostic significanceIndependent prognostic valueLarge multinational registryEjection fraction assessmentMyocardial perfusion imagingREFINE SPECT registryAdditional radiation exposureConventional single-photon emissionMACE riskMACE rateMultinational registryDetermining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Rios R, Miller RJH, Hu LH, Otaki Y, Singh A, Diniz M, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, DiCarli M, Van Kriekinge S, Kavanagh P, Parekh T, Liang JX, Dey D, Berman DS, Slomka P. Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry. Cardiovascular Research 2021, 118: 2152-2164. PMID: 34259870, PMCID: PMC9302886, DOI: 10.1093/cvr/cvab236.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsMyocardial perfusion imagingTotal perfusion deficitPrognostic accuracyREFINE SPECT registryImaging variablesTraditional multivariable modelsMultivariable modelStress total perfusion deficitAdverse cardiac eventsReceiver-operating characteristic curveOptimal risk stratificationTomography (SPECT) MPIComparable prognostic accuracyComparable prognostic performanceHigher prognostic accuracySingle photon emissionCardiovascular event predictionCardiac eventsRisk stratificationClinical variablesPerfusion deficitsPrognostic performancePerfusion imagingCollected variablesClinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
Otaki Y, Singh A, Kavanagh P, Miller RJH, Parekh T, Tamarappoo BK, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Cadet S, Liang JX, Dey D, Berman DS, Slomka PJ. Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease. JACC Cardiovascular Imaging 2021, 15: 1091-1102. PMID: 34274267, PMCID: PMC9020794, DOI: 10.1016/j.jcmg.2021.04.030.Peer-Reviewed Original ResearchConceptsTotal perfusion deficitMyocardial perfusion imagingStandard clinical softwareStress total perfusion deficitObstructive CADTomography myocardial perfusion imagingSPECT myocardial perfusion imagingStress myocardial perfusionCoronary artery diseaseReceiver-operating characteristic curveInvasive coronary angiographyClinical softwareReader diagnosisSingle photon emissionTypical clinical workflowArtery diseaseCoronary angiographyPerfusion deficitsDiagnostic findingsMyocardial perfusionPerfusion imagingVentricular volumeStandard clinical workstationPatientsDiagnostic accuracyDiagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning
Liu H, Wu J, Miller EJ, Liu C, Yaqiang, Liu, Liu YH. Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning. European Journal Of Nuclear Medicine And Molecular Imaging 2021, 48: 2793-2800. PMID: 33511425, DOI: 10.1007/s00259-021-05202-9.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingCoronary artery diseaseMyocardial perfusion abnormalitiesPerfusion abnormalitiesDiagnostic accuracyConvolutional neural networkTomography myocardial perfusion imagingYale-New Haven HospitalMyocardial perfusion defect sizeSPECT myocardial perfusion imagingAbnormal myocardial perfusionReceiver-operating characteristic curvePerfusion defect sizeNew Haven HospitalAUC valuesSingle photon emissionMyocardial perfusion SPECTDeep learningHigh diagnostic accuracyArtery diseaseDL methodsFinal diagnosisPatient genderMyocardial perfusionPerfusion SPECT
2020
Coronary Computed Tomography Angiography Compared With Single Photon Emission Computed Tomography Myocardial Perfusion Imaging as a Guide to Optimal Medical Therapy in Patients Presenting With Stable Angina: The RESCUE Trial
Stillman A, Gatsonis C, Lima J, Liu T, Snyder B, Cormack J, Malholtra V, Schnall M, Udelson J, Hoffmann U, Woodard P, Kim M, Hegde V, Kenny, Afaq M, Clouse M, Malhotra V, Cole, Al‐Khori F, Scherer M, Rothenberg F, Kirsch J, Shah A, Quyyumi A, Engberding N, Becker C, Li D, Pantelic M, Duerinckx A, Martin, Schrank J, Zachariah, Jacob R, Borges A, Roberge E, Truong Q, Edelman R, Akers S, Marsh K, Kemp, Reingold J, Chilakapati V, Osborne J, Lui K, Gomes A, Bajpai A, del Rio J, Singh, Thompson B, Rivard A, Jha S, Mavromatis K, Woodard P, Sinusas A. Coronary Computed Tomography Angiography Compared With Single Photon Emission Computed Tomography Myocardial Perfusion Imaging as a Guide to Optimal Medical Therapy in Patients Presenting With Stable Angina: The RESCUE Trial. Journal Of The American Heart Association 2020, 9: e017993. PMID: 33283579, PMCID: PMC7955393, DOI: 10.1161/jaha.120.017993.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsOptimal medical therapyAcute myocardial infarctionMedical therapyStable anginaMyocardial perfusion imagingMyocardial infarctionSingle photon emissionNegative CCTAHazard ratioRescue trialPerfusion imagingFirst major adverse cardiovascular eventTomography myocardial perfusion imagingSPECT myocardial perfusion imagingAdverse cardiovascular eventsOutcomes of patientsTomography myocardial perfusionFirst imaging testPhoton emissionCCTA armPositive CCTACardiovascular eventsSegment involvementOutcome trialsPrognostic Value of Radiotracer-Based Perfusion Imaging in Critical Limb Ischemia Patients Undergoing Lower Extremity Revascularization
Chou TH, Alvelo JL, Janse S, Papademetris X, Sumpio BE, Mena-Hurtado C, Sinusas AJ, Stacy MR. Prognostic Value of Radiotracer-Based Perfusion Imaging in Critical Limb Ischemia Patients Undergoing Lower Extremity Revascularization. JACC Cardiovascular Imaging 2020, 14: 1614-1624. PMID: 33221224, PMCID: PMC8113329, DOI: 10.1016/j.jcmg.2020.09.033.Peer-Reviewed Original ResearchConceptsCritical limb ischemiaLower extremity revascularizationDiabetes mellitusSPECT/CTPrognostic valuePerfusion responseAmputation outcomesExtremity revascularizationFoot perfusionCritical limb ischemia patientsAmputation-free survivalIncidence of amputationSubsequent clinical outcomesRegional perfusion abnormalitiesSingle photon emissionIschemia patientsLimb ischemiaClinical outcomesFoot ulcersPerfusion abnormalitiesCT perfusionRevascularizationRadiotracer uptakePatientsPerfusion imagingApathy in Alzheimer’s Disease Correlates with the Dopamine Transporter Level in the Caudate Nuclei
Udo N, Hashimoto N, Toyonaga T, Isoyama T, Oyanagi Y, Narita H, Shiga T, Nakagawa S, Kusumi I. Apathy in Alzheimer’s Disease Correlates with the Dopamine Transporter Level in the Caudate Nuclei. Dementia And Geriatric Cognitive Disorders Extra 2020, 10: 86-93. PMID: 33082772, PMCID: PMC7548940, DOI: 10.1159/000509278.Peer-Reviewed Original ResearchSignificant inverse correlationAlzheimer's diseaseCaudate nucleusParkinson's diseaseDisease correlateBP valuesI-FP-CIT single-photon emissionJ scoresAlzheimer's Disease CorrelatesInverse correlationDopamine transporter levelsCommon neuropsychiatric symptomsI-FP-CITTypes of dementiaDopaminergic nervous systemRight caudate nucleusDevelopment of apathyRank correlation coefficientStriatal binding potentialLeft caudate nucleusDegree of apathySingle photon emissionOvert parkinsonismNeuropsychiatric symptomsLewy bodiesImpact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified Ischemia
Azadani PN, Miller RJH, Sharir T, Diniz MA, Hu LH, Otaki Y, Gransar H, Liang JX, Eisenberg E, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified Ischemia. JACC Cardiovascular Imaging 2020, 14: 644-653. PMID: 32828784, PMCID: PMC7987223, DOI: 10.1016/j.jcmg.2020.05.039.Peer-Reviewed Original ResearchConceptsIschemic total perfusion deficitTotal perfusion deficitEarly revascularizationSPECT-MPIMajor adverse cardiovascular eventsPropensity scoreMultivariable Cox modelingAdverse cardiovascular eventsSingle-center dataContemporary cardiology practiceSingle photon emissionCardiovascular eventsPrimary outcomeCardiac deathConsecutive patientsCox modelingMulticenter studyPerfusion deficitsInternational registryRevascularizationCardiology practicePatientsIschemiaSignificant associationMACEPrognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT
Hu LH, Miller RJH, Sharir T, Commandeur F, Rios R, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Eisenberg E, Dey D, Berman DS, Slomka PJ. Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT. European Heart Journal - Cardiovascular Imaging 2020, 22: 705-714. PMID: 32533137, DOI: 10.1093/ehjci/jeaa134.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsPhysician interpretationMACE rateCancellation rateTomography myocardial perfusion imagingAdverse cardiac eventsInternational multicentre registryCause mortality ratesMyocardial perfusion imagingCurrent clinical approachesSingle photon emissionMulticentre registryCardiac eventsClinical dataMortality ratePerfusion imagingClinical approachPatientsML thresholdsRadiation exposureMPI scansPhoton emissionML scoreMLSafetyImaging of Injectable Hydrogels Delivered into Myocardium with SPECT/CT
Uman S, Wang LL, Thorn SL, Liu Z, Duncan JS, Sinusas AJ, Burdick JA. Imaging of Injectable Hydrogels Delivered into Myocardium with SPECT/CT. Advanced Healthcare Materials 2020, 9: e2000294. PMID: 32543053, PMCID: PMC7482444, DOI: 10.1002/adhm.202000294.Peer-Reviewed Original ResearchConceptsInjectable hydrogelsMyocardial infarctionSelf-healing hydrogelsHydrogel mechanical propertiesHybrid single-photon emissionHybrid SPECT/CT imagingMechanical propertiesTomography perfusion imagingAcute porcine modelSPECT/CT imagingSPECT/CTSingle photon emissionInjection forceHyaluronic acid hydrogelsPattern of deliveryTomography/HydrogelsPerfusion defectsPerfusion imagingExcellent radiopacityPorcine modelAcid hydrogelsCT imagingHydrogel deliveryHydrogel injectionMethod for Measuring Mucociliary Clearance and Cilia-generated Flow in Mice by ex vivo Imaging.
Song E, Iwasaki A. Method for Measuring Mucociliary Clearance and Cilia-generated Flow in Mice by ex vivo Imaging. Bio-protocol 2020, 10: e3554. PMID: 33659527, PMCID: PMC7842288, DOI: 10.21769/bioprotoc.3554.Peer-Reviewed Original Research
2019
Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry
Han D, Rozanski A, Gransar H, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Hu LH, Germano G, Dey D, Berman DS, Slomka PJ. Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry. Diabetes Care 2019, 43: 453-459. PMID: 31776140, PMCID: PMC6971784, DOI: 10.2337/dc19-1360.Peer-Reviewed Original ResearchMeSH KeywordsAgedAngina, UnstableCohort StudiesCoronary Artery DiseaseDiabetes MellitusDiabetic AngiopathiesFemaleHumansMaleMiddle AgedMyocardial InfarctionMyocardial IschemiaMyocardial Perfusion ImagingPrevalencePrognosisPropensity ScoreRegistriesRisk FactorsTomography, Emission-Computed, Single-PhotonConceptsMajor adverse cardiovascular eventsTotal perfusion deficitMACE riskMyocardial ischemic burdenAdverse cardiovascular eventsTomography myocardial perfusionREFINE SPECT registrySingle photon emissionIschemic burdenMinimal ischemiaCardiovascular eventsCause mortalityLate revascularizationPrognostic impactUnstable anginaSignificant ischemiaPerfusion deficitsMyocardial infarctionMyocardial ischemiaRisk factorsCardiovascular diseaseHigh riskMyocardial perfusionPatientsDiabetesApplication of Hybrid Matrix Metalloproteinase-Targeted and Dynamic 201Tl Single-Photon Emission Computed Tomography/Computed Tomography Imaging for Evaluation of Early Post-Myocardial Infarction Remodeling
Thorn SL, Barlow SC, Feher A, Stacy MR, Doviak H, Jacobs J, Zellars K, Renaud JM, Klein R, deKemp RA, Khakoo AY, Lee T, Spinale FG, Sinusas AJ. Application of Hybrid Matrix Metalloproteinase-Targeted and Dynamic 201Tl Single-Photon Emission Computed Tomography/Computed Tomography Imaging for Evaluation of Early Post-Myocardial Infarction Remodeling. Circulation Cardiovascular Imaging 2019, 12: e009055. PMID: 31707811, PMCID: PMC7250243, DOI: 10.1161/circimaging.119.009055.Peer-Reviewed Original ResearchConceptsMyocardial blood flowSingle photon emissionBlood flowRecombinant TIMP-3Matrix metalloproteinasesR injuryTomography/Intracoronary deliveryMMP activationPost-myocardial infarction remodelingSubsequent left ventricular remodelingHybrid single-photon emissionDual-isotope single-photon emissionTomography/Computed Tomography ImagingLeft ventricular remodelingIschemia/reperfusionPost-MI remodelingPost-myocardial infarctionComputed tomography (CT) imagingIntracoronary infusionVentricular functionSaline groupVentricular remodelingNoninvasive evaluationTreatment groups
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