2025
Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.
Miller R, Kavanagh P, Lemley M, Liang J, Sharir T, Einstein A, Fish M, Ruddy T, Kaufmann P, Sinusas A, Miller E, Bateman T, Dorbala S, Di Carli M, Hayes S, Friedman J, Berman D, Dey D, Slomka P. Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging. Journal Of Nuclear Medicine 2025, jnumed.124.268079. PMID: 39978815, DOI: 10.2967/jnumed.124.268079.Peer-Reviewed Original ResearchObstructive coronary artery diseaseCoronary artery diseaseArea under the receiver operating characteristic curveMyocardial perfusion imagingPerfusion scoreDetection of obstructive coronary artery diseaseDiagnostic accuracy of myocardial perfusion imagingPerfusion imagingAccuracy of myocardial perfusion imagingInvasive coronary angiographyCohort of patientsHighest area under the receiver operating characteristic curveLeft main coronary arteryReceiver operating characteristic curveStress TPDDeep learningObstructive CADMedian ageCoronary angiographyArtificial intelligenceDiagnostic performanceDiagnostic accuracyArtery diseaseAI predictionsCoronary artery
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, PMCID: PMC11774509, 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 population
2019
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry.
Hu LH, Betancur J, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Commandeur F, Liang JX, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry. European Heart Journal - Cardiovascular Imaging 2019, 21: 549-559. PMID: 31317178, PMCID: PMC7167744, DOI: 10.1093/ehjci/jez177.Peer-Reviewed Original ResearchConceptsEarly coronary revascularizationMyocardial perfusion imagingStress TPDCoronary revascularizationTomography myocardial perfusion imagingTetrofosmin myocardial perfusion imagingSPECT myocardial perfusion imagingInvasive coronary angiographyReceiver operator characteristic curveREFINE SPECT registryPatient-specific explanationsOperator characteristic curveSingle photon emissionMyocardial perfusion SPECTCoronary angiographyIndividual patientsImaging variablesPatientsPerfusion SPECTPerfusion imagingClinical settingCharacteristic curveRevascularizationExpert interpretationStress test
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