2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
Miller R, Bednarski B, Pieszko K, Kwiecinski J, Williams M, Shanbhag A, Liang J, Huang C, Sharir T, Hauser M, Dorbala S, Di Carli M, Fish M, Ruddy T, Bateman T, Einstein A, Kaufmann P, Miller E, Sinusas A, Acampa W, Han D, Dey D, Berman D, Slomka P. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. EBioMedicine 2024, 99: 104930. PMID: 38168587, PMCID: PMC10794922, DOI: 10.1016/j.ebiom.2023.104930.Peer-Reviewed Original ResearchMyocardial infarctionMyocardial perfusion imagingBlood InstituteNational HeartPharmacologic stressExternal testing cohortNormal imaging resultsRetrospective observational studyCoronary artery diseasePrevious myocardial infarctionRisk of deathNormal perfusion scanBritish Heart FoundationNational InstituteCluster 4 patientsDistinct phenotypesCardiovascular riskArtery diseaseRisk stratificationPerfusion scanNormal perfusionImaging featuresNormal scansMPI patientsHeart Foundation
2020
Advances in PET-Based Cardiac Amyloid Radiotracers
Gallegos C, Miller EJ. Advances in PET-Based Cardiac Amyloid Radiotracers. Current Cardiology Reports 2020, 22: 40. PMID: 32430600, DOI: 10.1007/s11886-020-01284-3.Peer-Reviewed Original ResearchConceptsPositron emission tomographyCardiac amyloidosisAmyloid depositionAmyloid radiotracersCardiac amyloid depositionCare of patientsTransthyretin cardiac amyloidosisCardiac imaging techniquesCongo red stainingPurpose of ReviewWeNovel positron emission tomographyEndomyocardial biopsyImaging featuresAmyloid depositsUnmet needInvasive methodEmission tomographyAmyloidosisGold standardAdditive valueRed stainingBiopsyFurther dataDiagnosisRecent studies