2022
Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging
Sun T, Wang Z, Wu Y, Gu F, Li X, Bai Y, Shen C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, El Fakhri G, Zhou Y, Wang M. Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 2994-3004. PMID: 35567627, PMCID: PMC9106794, DOI: 10.1007/s00259-022-05832-7.Peer-Reviewed Original ResearchConceptsPET imagingNormal control databaseTotal-body imagingWhole-body PET imagingNon-invasive modalitySUV measurementsGastrointestinal bleedingMetabolic abnormitiesSystem abnormalitiesTotal bodyLung cancerHealthy subjectsMetabolic dysfunctionFocal lesionsCOVID-19 diseaseGlucose metabolismControl databaseSUV imagesPatientsAbnormal networkBiological mechanismsDiseasePETMetabolic connectivity
2015
Synergistic role of simultaneous PET/MRI-MRS in soft tissue sarcoma metabolism imaging
Zhang X, Chen Y, Lim R, Huang C, Chebib I, Fakhri G. Synergistic role of simultaneous PET/MRI-MRS in soft tissue sarcoma metabolism imaging. Magnetic Resonance Imaging 2015, 34: 276-279. PMID: 26523656, PMCID: PMC4761342, DOI: 10.1016/j.mri.2015.10.027.Peer-Reviewed Original ResearchConceptsSoft tissue sarcomasMagnetic resonance imagingHigh (18)F-FDG uptakeT2 hyperintense massMagnetic resonance spectroscopyNeoadjuvant radiotherapyPathological resultsTumor marginsTissue sarcomasImaging findingsPET/MRI scansPET scansRight thighRadiotherapyNormal tissuesEmission tomographyResonance imagingMetabolite profilesSarcomaPET/MRIChemoRTChemoradiationSynergistic rolePETSurgery
2013
Proton Therapy Verification with PET Imaging
Zhu X, Fakhri G. Proton Therapy Verification with PET Imaging. Theranostics 2013, 3: 731-740. PMID: 24312147, PMCID: PMC3840408, DOI: 10.7150/thno.5162.Peer-Reviewed Original Research
2008
SU‐GG‐I‐74: New IAEA Document On Acceptance Testing, Quality Assurance and Quality Control for PET and PET/CT Systems
Fakhri G, Fulton R, Gray J, Marengo M, Zimmerman B, Dondi M, McLean I, Palm S. SU‐GG‐I‐74: New IAEA Document On Acceptance Testing, Quality Assurance and Quality Control for PET and PET/CT Systems. Medical Physics 2008, 35: 2659-2659. DOI: 10.1118/1.2961472.Peer-Reviewed Original ResearchPET/CT scannerTime-of-flight systemDetector materialPET/CTPET/CT unitComputed tomographyPET indicatorPET/CT systemCT componentPET technologyCT dataNatural radioactivityLesion detectionRadioactivity concentrationPETQuality assuranceDefinition of applicationsIAEAIAEA documentsGuidelinesAcceptance testsReference valuesScannerLesionsDetector
2007
Clinical Myocardial Perfusion PET/CT
Di Carli M, Dorbala S, Meserve J, Fakhri G, Sitek A, Moore S. Clinical Myocardial Perfusion PET/CT. Journal Of Nuclear Medicine 2007, 48: 783-793. PMID: 17475968, DOI: 10.2967/jnumed.106.032789.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseMyocardial perfusion PETPerfusion PETDiagnosing obstructive CADClinically useful risk stratificationObstructive coronary artery diseaseAnatomic coronary artery diseaseMyocardial perfusion PET/CTMultivessel coronary artery diseaseLeft ventricular functionEvaluation of patientsQuantify myocardial perfusionVentricular functionIschemic burdenPharmacological stressRisk stratificationCardiac PETArtery diseasePET/CT technologyMyocardial perfusionAttenuation correctionNuclear cardiologyFunctional consequencesSPECTPET
2003
Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET
Holdsworth C, Badawi R, Santos P, Van den Abbeele A, Hoffman E, Fakhri G. Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET. 2003, 4: 2540-2544. DOI: 10.1109/nssmic.2003.1352408.Peer-Reviewed Original ResearchScatter correctionUncorrected imagesPET imagingChannelized Hotelling observerHotelling observerPatient dataPatient imagesQuantitative accuracyLesion detection sensitivityPatient sizePhantomLesion sensitivityPatientsMonteLesionsLesion detectionCorrectionROI analysisIntensity varianceDetection sensitivityPETScatteringAverage absolute bias