2016
The response of FDG uptake to immunosuppressive treatment on FDG PET/CT imaging for cardiac sarcoidosis
Ahmadian A, Pawar S, Govender P, Berman J, Ruberg FL, Miller EJ. The response of FDG uptake to immunosuppressive treatment on FDG PET/CT imaging for cardiac sarcoidosis. Journal Of Nuclear Cardiology 2016, 24: 413-424. PMID: 27457527, DOI: 10.1007/s12350-016-0490-7.Peer-Reviewed Original ResearchConceptsFDG PET/CTPET/CTFDG uptakeCardiac sarcoidosisFDG PET/CT studiesPET/CT studiesImmunosuppressive treatmentCardiac inflammationPartial responseComplete resolutionImproved outcomesSUV thresholdImmunosuppressionFDG responseCT studiesPatientsCTSarcoidosisFurther studiesQuantitative changesUptakeResponseInflammationSUVmaxCMV
2014
Quantitative interpretation of FDG PET/CT with myocardial perfusion imaging increases diagnostic information in the evaluation of cardiac sarcoidosis
Ahmadian A, Brogan A, Berman J, Sverdlov AL, Mercier G, Mazzini M, Govender P, Ruberg FL, Miller EJ. Quantitative interpretation of FDG PET/CT with myocardial perfusion imaging increases diagnostic information in the evaluation of cardiac sarcoidosis. Journal Of Nuclear Cardiology 2014, 21: 925-939. PMID: 24879453, DOI: 10.1007/s12350-014-9901-9.Peer-Reviewed Original ResearchMeSH KeywordsFemaleFluorodeoxyglucose F18Heart DiseasesHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedMultimodal ImagingMyocardial Perfusion ImagingPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsRetrospective StudiesSarcoidosisSensitivity and SpecificityTomography, X-Ray ComputedConceptsFDG PET/CTPET/CTCardiac sarcoidosisStandardized uptake valueMyocardial perfusion imagingClinical eventsPerfusion imagingCardiac FDG PET/CTAdverse clinical eventsOnly independent predictorNegative control studyCS correlatesImmunosuppressive treatmentPrednisone treatmentImmunosuppression treatmentIndependent predictorsFDG uptakeOncologic indicationsPerfusion defectsNegative studiesRepeat examinationLow EFUptake valueControl studyMultivariate analysis