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 analysis
2022
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 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 scoreDeep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT
Du Y, Shang J, Sun J, Wang L, Liu YH, Xu H, Mok GSP. Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT. Journal Of Nuclear Cardiology 2022, 30: 1022-1037. PMID: 36097242, DOI: 10.1007/s12350-022-03092-4.Peer-Reviewed Original ResearchDeep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT
Sun J, Jiang H, Du Y, Li C, Wu T, Liu Y, Yang B, Mok G. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal Of Nuclear Cardiology 2022, 30: 970-985. PMID: 35982208, DOI: 10.1007/s12350-022-03045-x.Peer-Reviewed Original ResearchConceptsConditional generative adversarial networkGenerative adversarial networkImage qualityAdversarial networkOS-EM methodList-mode dataXCAT phantomPost-reconstruction filteringImagesSPECT projectionsDenoisingMyocardial perfusion SPECTHigh noise levelsPerfusion SPECTFull doseSPECT/CT scansNetworkDifferent anatomical variationsMode dataFilteringMP-SPECTLD imagesIncreasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction
Xie H, Thorn S, Chen X, Zhou B, Liu H, Liu Z, Lee S, Wang G, Liu YH, Sinusas AJ, Liu C. Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction. Journal Of Nuclear Cardiology 2022, 30: 86-100. PMID: 35508796, DOI: 10.1007/s12350-022-02972-z.Peer-Reviewed Original ResearchConceptsDeep learningReconstruction qualityImage reconstructionDeep learning methodsDeep neural networksDeep learning resultsImage qualityNetwork trainingSPECT image reconstructionNeural networkLearning methodsHigh image resolutionImage volumesClinical softwareImage metricsImage resolutionReconstruction resultsImproved image qualityTesting dataLearning resultsNetwork resultsPhysical phantomStationary imagingDifferent subjectsLearningCross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT
Chen X, Pretorius P, Zhou B, Liu H, Johnson K, Liu YH, King MA, Liu C. Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT. Journal Of Nuclear Cardiology 2022, 29: 3379-3391. PMID: 35474443, PMCID: PMC11407548, DOI: 10.1007/s12350-022-02978-7.Peer-Reviewed Original ResearchDirect and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT
Chen X, Zhou B, Xie H, Shi L, Liu H, Holler W, Lin M, Liu YH, Miller EJ, Sinusas AJ, Liu C. Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3046-3060. PMID: 35169887, PMCID: PMC9253078, DOI: 10.1007/s00259-022-05718-8.Peer-Reviewed Original Research
2021
Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation
Liu H, Wu J, Shi L, Liu Y, Miller E, Sinusas A, Liu YH, Liu C. Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation. Journal Of Nuclear Cardiology 2021, 29: 2881-2892. PMID: 34671940, DOI: 10.1007/s12350-021-02817-1.Peer-Reviewed Original ResearchAssociation Between Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography Imaging and Adverse Events in Patients With Autoimmune Rheumatic Disease
Feher A, Boutagy NE, Oikonomou EK, Liu YH, Miller EJ, Sinusas AJ, Hinchcliff M. Association Between Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography Imaging and Adverse Events in Patients With Autoimmune Rheumatic Disease. Circulation Cardiovascular Imaging 2021, 14: e012208. PMID: 34503339, PMCID: PMC8475774, DOI: 10.1161/circimaging.120.012208.Peer-Reviewed Original ResearchConceptsAutoimmune rheumatic diseasesMyocardial flow reserveLower myocardial flow reserveCox regression analysisAdverse eventsARDS diagnosisIndependent predictorsRheumatic diseasesPerfusion defectsFlow reserveNormal myocardial flow reserveLeft ventricular ejection fractionEnd pointGlobal myocardial flow reserveImpaired Myocardial Flow ReserveComorbidity-matched patientsSevere coronary calcificationCombined end pointCoronary microvascular dysfunctionHeart failure admissionsComposite end pointEvent-free survivalFramingham risk scoreLarge perfusion defectsRetrospective cohort analysisImpaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis.
Feher A, Boutagy NE, Oikonomou EK, Thorn S, Liu YH, Miller EJ, Sinusas AJ, Hinchcliff M. Impaired Myocardial Flow Reserve on 82Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis. The Journal Of Rheumatology 2021, 48: 1574-1582. PMID: 34266986, PMCID: PMC10275580, DOI: 10.3899/jrheum.210040.Peer-Reviewed Original ResearchConceptsReduced Myocardial Flow ReserveMyocardial flow reserveRaynaud's phenomenonPrimary Raynaud's phenomenonSecondary Raynaud's phenomenonPatient controlsHealthy participantsFlow reservePositron Emission Tomography/Computed TomographyEmission Tomography/Computed TomographyTomography/Computed TomographyPositron emission tomography/Impaired Myocardial Flow ReserveCoronary microvascular dysfunctionLarge prospective studiesMultivariable logistic regressionEmission tomography/PET/CTSSc-RPMicrovascular dysfunctionClinical predictorsIndependent predictorsSystemic sclerosisPrognostic valueProspective studyDiagnostic 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
Anger recall mental stress decreases 123I-metaiodobenzylguanidine (123I-MIBG) uptake and increases heterogeneity of cardiac sympathetic activity in the myocardium in patients with ischemic cardiomyopathy
Avendaño R, Hashemi-Zonouz T, Sandoval V, Liu C, Burg M, Sinusas AJ, Lampert R, Liu YH. Anger recall mental stress decreases 123I-metaiodobenzylguanidine (123I-MIBG) uptake and increases heterogeneity of cardiac sympathetic activity in the myocardium in patients with ischemic cardiomyopathy. Journal Of Nuclear Cardiology 2020, 29: 798-809. PMID: 33034036, DOI: 10.1007/s12350-020-02372-1.Peer-Reviewed Original ResearchConceptsSympathetic activityIschemic cardiomyopathyVentricular arrhythmiasICM patientsMental stressAge-matched healthy male controlsCardiac sympathetic activityHealthy control subjectsMyocardial sympathetic activityHealthy male controlsMental stress taskSPECT/CTMediastinal ratioControl subjectsHemodynamic responseAnger recallMyocardial perfusionNormal subjectsMale controlsPatientsPerfusionPsychological stressorsArrhythmiasStress taskDual-isotope imagingNoise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET
Liu H, Wu J, Lu W, Onofrey JA, Liu YH, Liu C. Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET. Physics In Medicine And Biology 2020, 65: 185006. PMID: 32924973, DOI: 10.1088/1361-6560/abae08.Peer-Reviewed Original ResearchQuantification of myocardial blood flow (MBF) and reserve (MFR) incorporated with a novel segmentation approach: Assessments of quantitative precision and the lower limit of normal MBF and MFR in patients
Liu H, Thorn S, Wu J, Fazzone-Chettiar R, Sandoval V, Miller EJ, Sinusas AJ, Liu YH. Quantification of myocardial blood flow (MBF) and reserve (MFR) incorporated with a novel segmentation approach: Assessments of quantitative precision and the lower limit of normal MBF and MFR in patients. Journal Of Nuclear Cardiology 2020, 28: 1236-1248. PMID: 32715416, DOI: 10.1007/s12350-020-02278-y.Peer-Reviewed Original ResearchDeep learning-based attenuation map generation for myocardial perfusion SPECT
Shi L, Onofrey JA, Liu H, Liu YH, Liu C. Deep learning-based attenuation map generation for myocardial perfusion SPECT. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47: 2383-2395. PMID: 32219492, DOI: 10.1007/s00259-020-04746-6.Peer-Reviewed Original Research
2019
A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82Rb positron emission tomography
Liu H, Wu J, Sun J, Wu T, Fazzone‐Chettiar R, Thorn S, Sinusas AJ, Liu Y. A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82Rb positron emission tomography. Medical Physics 2019, 46: 5002-5013. PMID: 31444909, DOI: 10.1002/mp.13783.Peer-Reviewed Original Research
2017
A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT
Wu J, Liu H, Zonouz T, Sandoval VM, Mohy‐ud‐Din H, Lampert RJ, Sinusas AJ, Liu C, Liu Y. A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT. Medical Physics 2017, 44: 6435-6446. PMID: 28994458, DOI: 10.1002/mp.12622.Peer-Reviewed Original ResearchQuantification and Determination of Normal 123I-Meta Iodobenzylguanidine Heart-to-Mediastinum Ratio (HMR) from Cardiac SPECT/CT and Correlation with Planar HMR
Alvi R, Miller EJ, Zonouz TH, Sandoval V, Tariq N, Lampert R, Sinusas AJ, Liu YH. Quantification and Determination of Normal 123I-Meta Iodobenzylguanidine Heart-to-Mediastinum Ratio (HMR) from Cardiac SPECT/CT and Correlation with Planar HMR. Journal Of Nuclear Medicine 2017, 59: 652-658. PMID: 28916622, DOI: 10.2967/jnumed.117.197152.Peer-Reviewed Original Research
2016
High-Sensitivity and High-Resolution SPECT/CT Systems Provide Substantial Dose Reduction Without Compromising Quantitative Precision for Assessment of Myocardial Perfusion and Function
Palyo RJ, Sinusas A, Liu YH. High-Sensitivity and High-Resolution SPECT/CT Systems Provide Substantial Dose Reduction Without Compromising Quantitative Precision for Assessment of Myocardial Perfusion and Function. Journal Of Nuclear Medicine 2016, 57: 893-899. PMID: 26848173, DOI: 10.2967/jnumed.115.164632.Peer-Reviewed Original ResearchConceptsMyocardial perfusion SPECTEjection fractionDose reductionMyocardial perfusionAnterior descendingRight coronary artery territoryTetrofosmin myocardial perfusion SPECTNormal MPS resultsNuclear Cardiology guidelinesCoronary artery territoryLarge perfusion defectsLV ejection fractionLeft anterior descendingData of patientsNormal myocardial perfusionEnd-systolic volumeRelative dose reductionDefect sizeMPS resultsShort imaging protocolsTetrofosmin scanArtery territoryCardiology guidelinesSubstantial dose reductionLV function
2012
Left Ventricular Ejection Fraction and Left Ventricular End‐Diastolic Volume in Patients With Diastolic Dysfunction
Jovin IS, Ebisu K, Liu Y, Finta LA, Oprea AD, Brandt CA, Dziura J, Wackers FJ. Left Ventricular Ejection Fraction and Left Ventricular End‐Diastolic Volume in Patients With Diastolic Dysfunction. Congestive Heart Failure 2012, 19: 130-134. PMID: 23241105, DOI: 10.1111/chf.12013.Peer-Reviewed Original ResearchConceptsLVEF of patientsLeft ventricular ejection fractionLower peak filling ratePeak filling rateEnd-diastolic volumeNormal peak filling ratesEquilibrium radionuclide angiocardiographyVentricular ejection fractionDiastolic dysfunctionAsymptomatic patientsEjection fractionLow left ventricular ejection fractionNormal left ventricular ejection fractionVentricular end-diastolic volumeMild systolic dysfunctionNormal systolic functionEDV indexSystolic dysfunctionSystolic functionRadionuclide angiocardiographyPatientsDysfunctionRepeat scansFilling rateAngiocardiography