2020
Reduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11C]UCB‐J positron emission tomography study
Finnema SJ, Toyonaga T, Detyniecki K, Chen M, Dias M, Wang Q, Lin S, Naganawa M, Gallezot J, Lu Y, Nabulsi NB, Huang Y, Spencer DD, Carson RE. Reduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11C]UCB‐J positron emission tomography study. Epilepsia 2020, 61: 2183-2193. PMID: 32944949, DOI: 10.1111/epi.16653.Peer-Reviewed Original ResearchConceptsMedial temporal lobe sclerosisTemporal lobe epilepsyTLE subjectsPositron emission tomographyLobe epilepsyJ BPSynaptic vesicle protein 2APartial volume correctionTemporal lobe sclerosisPositron emission tomography studyEmission tomography studiesSeizure onset zonePromising biomarker approachJ bindingPresurgical selectionSclerotic hippocampusHippocampal asymmetryTLE patientsRegional binding patternsControl subjectsCentrum semiovaleContralateral regionsEpilepsy patientsOutcome measuresOnset zoneAssessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET
Naganawa M, Gallezot JD, Shah V, Mulnix T, Young C, Dias M, Chen MK, Smith AM, Carson RE. Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET. EJNMMI Physics 2020, 7: 67. PMID: 33226522, PMCID: PMC7683759, DOI: 10.1186/s40658-020-00330-x.Peer-Reviewed Original ResearchPopulation-based input functionImage-derived input functionInitial distribution volumeArterial input functionInjected doseBlood samplingWhole bodyStandard arterial input functionInitial plasma concentrationsArterial blood samplingOncological patientsPlasma concentrationsGold standard methodDistribution volumePET studiesPET imagingSubject heightInput functionAUCAUC valuesTest-retest dataClinical environmentLater time windowKi valuesImaging
2024
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification
Liu Q, Tsai Y, Gallezot J, Guo X, Chen M, Pucar D, Young C, Panin V, Casey M, Miao T, Xie H, Chen X, Zhou B, Carson R, Liu C. Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. Medical Image Analysis 2024, 95: 103180. PMID: 38657423, DOI: 10.1016/j.media.2024.103180.Peer-Reviewed Original ResearchDeep Image PriorImage priorsSupervised modelsNoise reductionIntrinsic image featuresDeep learning techniquesU-Net architectureNovel denoising techniqueQuality of parametric imagesDenoising modelDenoising techniquesStatic datasetsBaseline techniquesEffective noise reductionData-driven approachLearning techniquesDynamic datasetsOptimization processPrior informationStatic imagesHigh noise levelsImage featuresDatasetPrior imagePET datasets
2023
The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J
Toyonaga T, Khattar N, Wu Y, Lu Y, Naganawa M, Gallezot J, Matuskey D, Mecca A, Pittman B, Dias M, Nabulsi N, Finnema S, Chen M, Arnsten A, Radhakrishnan R, Skosnik P, D’Souza D, Esterlis I, Huang Y, van Dyck C, Carson R. The regional pattern of age-related synaptic loss in the human brain differs from gray matter volume loss: in vivo PET measurement with [11C]UCB-J. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 1012-1022. PMID: 37955791, DOI: 10.1007/s00259-023-06487-8.Peer-Reviewed Original ResearchSynaptic densityAge-related decreaseMagnetic resonance imagingBlood flowAge-related synaptic lossGray matter volume lossSynaptic density lossPositron emission tomography (PET) ligandSynaptic vesicle glycoprotein 2AVivo PET measurementsMedial occipital cortexGray matter volumeAge-related neurodegenerationGray matter regionsCognitive normal subjectsAge-related changesSynaptic lossNerve terminalsWide age rangeOccipital cortexTomography ligandNormal subjectsGM volumeAge-related functional lossesMatter volume
2022
Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A
Naganawa M, Gallezot J, Finnema S, Maguire R, Mercier J, Nabulsi N, Kervyn S, Henry S, Nicolas J, Huang Y, Chen M, Hannestad J, Klitgaard H, Stockis A, Carson R. Drug characteristics derived from kinetic modeling: combined 11C-UCB-J human PET imaging with levetiracetam and brivaracetam occupancy of SV2A. EJNMMI Research 2022, 12: 71. PMID: 36346513, PMCID: PMC9643320, DOI: 10.1186/s13550-022-00944-5.Peer-Reviewed Original ResearchTime-activity curvesBrain entryDrug concentrationsNon-human primate brainAnti-seizure activitySynaptic vesicle glycoprotein 2APlasma drug concentrationsPrevious human studiesBackgroundAntiepileptic drugsHealthy subjectsBlood samplesHuman studiesLevetiracetamPrimate brainEmission tomography dataBrivaracetamDistribution volumeArterial input functionBrainDrug characteristicsPositron emission tomography dataDrug entryFree fractionDrugsKinetic parameters k1
2021
Generation of parametric Ki images for FDG PET using two 5‐min scans
Wu J, Liu H, Ye Q, Gallezot J, Naganawa M, Miao T, Lu Y, Chen M, Esserman DA, Kyriakides TC, Carson RE, Liu C. Generation of parametric Ki images for FDG PET using two 5‐min scans. Medical Physics 2021, 48: 5219-5231. PMID: 34287939, DOI: 10.1002/mp.15113.Peer-Reviewed Original ResearchConceptsPopulation-based input functionDynamic FDG-PET scansFDG-PET scansFDG-PETSUV changesPET scansClinical practiceSolid lung nodulesClinical usefulnessLate scansBone marrowRegion of interestLung nodulesInput functionScansPatlak analysisKi imagesMin/T-testCorrelation coefficientTumorsSubjectsNodulesDynamic imagingPETPartial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease
Lu Y, Toyonaga T, Naganawa M, Gallezot JD, Chen MK, Mecca AP, van Dyck CH, Carson RE. Partial volume correction analysis for 11C-UCB-J PET studies of Alzheimer's disease. NeuroImage 2021, 238: 118248. PMID: 34119639, PMCID: PMC8454285, DOI: 10.1016/j.neuroimage.2021.118248.Peer-Reviewed Original ResearchComparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study
Chen MK, Mecca AP, Naganawa M, Gallezot JD, Toyonaga T, Mondal J, Finnema SJ, Lin SF, O’Dell R, McDonald JW, Michalak HR, Vander Wyk B, Nabulsi NB, Huang Y, Arnsten AF, van Dyck CH, Carson RE. Comparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study. Cerebrovascular And Brain Metabolism Reviews 2021, 41: 2395-2409. PMID: 33757318, PMCID: PMC8393289, DOI: 10.1177/0271678x211004312.Peer-Reviewed Original ResearchConceptsSynaptic densityMedial temporal regionsAlzheimer's diseaseNeocortical regionsTemporal regionsRelative outcome measuresMedial temporal lobeVivo PET imagingJ bindingOutcome measuresTemporal lobeMagnitude of reductionCN participantsBrain regionsAD participantsDiseasePET imagingConcordant reductionNormal participantsSynaptic vesiclesPerfusionMetabolismSuitable markerParticipantsSimilar pattern
2019
Norepinephrine transporter availability in brown fat is reduced in obesity: a human PET study with [11C] MRB
Sanchez-Rangel E, Gallezot JD, Yeckel CW, Lam W, Belfort-DeAguiar R, Chen MK, Carson RE, Sherwin R, Hwang JJ. Norepinephrine transporter availability in brown fat is reduced in obesity: a human PET study with [11C] MRB. International Journal Of Obesity 2019, 44: 964-967. PMID: 31636373, PMCID: PMC7259982, DOI: 10.1038/s41366-019-0471-4.Peer-Reviewed Original ResearchConceptsBrown adipose tissueDetectable brown adipose tissueDistribution volume ratioMultilinear reference tissue model 2Norepinephrine transporterSympathetic innervationNorepinephrine transporter availabilityHuman brown adipose tissueDense sympathetic innervationPET-CT imagingReference tissue model 2Human PET studiesSupraclavicular regionCaucasian womenTransporter availabilityOccipital cortexObesityTherapeutic targetAdipose tissueBrown fatPET studiesWomenInnervationSelective ligandsEnergy-dissipating propertiesEffects of age, BMI and sex on the glial cell marker TSPO — a multicentre [11C]PBR28 HRRT PET study
Tuisku J, Plavén-Sigray P, Gaiser EC, Airas L, Al-Abdulrasul H, Brück A, Carson RE, Chen MK, Cosgrove KP, Ekblad L, Esterlis I, Farde L, Forsberg A, Halldin C, Helin S, Kosek E, Lekander M, Lindgren N, Marjamäki P, Rissanen E, Sucksdorff M, Varrone A, Collste K, Gallezot J, Hillmer A, Huang Y, Höglund C, Johansson J, Jucaite A, Lampa J, Nabulsi N, Pittman B, Sandiego C, Stenkrona P, Rinne J, Matuskey D, Cervenka S. Effects of age, BMI and sex on the glial cell marker TSPO — a multicentre [11C]PBR28 HRRT PET study. European Journal Of Nuclear Medicine And Molecular Imaging 2019, 46: 2329-2338. PMID: 31363804, PMCID: PMC6717599, DOI: 10.1007/s00259-019-04403-7.Peer-Reviewed Original ResearchConceptsBody mass indexPositron emission tomographyEffect of ageMultilinear analysis 1PET centersGlobal gray matterMass indexSubgroup analysisClinical studiesTSPO levelsHealthy subjectsTurku PET CentreHealthy volunteersPositive correlationTemporal cortexTSPO genotypeIndividual biological propertiesMale subjectsPurposeThe purposeConclusionThese findingsLinear mixed effects modelsGray matterParietal cortexSignificant negative correlationEmission tomography
2018
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose
Ye Q, Wu J, Lu Y, Naganawa M, Gallezot JD, Ma T, Liu Y, Tanoue L, Detterbeck F, Blasberg J, Chen MK, Casey M, Carson RE, Liu C. Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose. Physics In Medicine And Biology 2018, 63: 175015. PMID: 30095083, PMCID: PMC6158045, DOI: 10.1088/1361-6560/aad97f.Peer-Reviewed Original ResearchConceptsPopulation-based input functionStandardized uptake valueImage-derived input functionLung nodulesClinical trialsTime-activity curvesLow-dose computed tomography (LDCT) screeningLung cancer mortality ratesIndeterminate lung nodulesComputed Tomography ScreeningF-FDG PETCancer mortality ratesStatic PET acquisitionVirtual clinical trialsScan durationTomography screeningFDG injectionPET scansMortality rateUptake valueAccurate diagnosisMalignant lung nodulesROC analysisPatient dataMalignant nodules
2017
Kinetic evaluation and test–retest reproducibility of [11C]UCB-J, a novel radioligand for positron emission tomography imaging of synaptic vesicle glycoprotein 2A in humans
Finnema SJ, Nabulsi NB, Mercier J, Lin SF, Chen MK, Matuskey D, Gallezot JD, Henry S, Hannestad J, Huang Y, Carson RE. Kinetic evaluation and test–retest reproducibility of [11C]UCB-J, a novel radioligand for positron emission tomography imaging of synaptic vesicle glycoprotein 2A in humans. Cerebrovascular And Brain Metabolism Reviews 2017, 38: 2041-2052. PMID: 28792356, PMCID: PMC6259313, DOI: 10.1177/0271678x17724947.Peer-Reviewed Original Research
2015
11C-PBR28 imaging in multiple sclerosis patients and healthy controls: test-retest reproducibility and focal visualization of active white matter areas
Park E, Gallezot JD, Delgadillo A, Liu S, Planeta B, Lin SF, O’Connor K, Lim K, Lee JY, Chastre A, Chen MK, Seneca N, Leppert D, Huang Y, Carson RE, Pelletier D. 11C-PBR28 imaging in multiple sclerosis patients and healthy controls: test-retest reproducibility and focal visualization of active white matter areas. European Journal Of Nuclear Medicine And Molecular Imaging 2015, 42: 1081-1092. PMID: 25833352, DOI: 10.1007/s00259-015-3043-4.Peer-Reviewed Original ResearchConceptsNormal-appearing white matterVolume of distributionTest-retest variabilityWhole brain white matterHealthy controlsMicroglial activationTest-retest reproducibilityGray matterMultiple sclerosisMS subjectsWhite matterWhole brain gray matterGood test-retest reproducibilityAbsolute test-retest variabilityActive MS patientsPositron emission tomography (PET) ligandMultiple sclerosis patientsMain outcome measuresWhite matter areasMS WM lesionsBrain gray matterDemyelinating injuryTest-retest resultsVT valuesMS patients
2014
Further evaluation of [11C]MP‐10 as a radiotracer for phosphodiesterase 10A: PET imaging study in rhesus monkeys and brain tissue metabolite analysis
Lin S, Labaree D, Chen M, Holden D, Gallezot J, Kapinos M, Teng J, Najafzadeh S, Plisson C, Rabiner EA, Gunn RN, Carson RE, Huang Y. Further evaluation of [11C]MP‐10 as a radiotracer for phosphodiesterase 10A: PET imaging study in rhesus monkeys and brain tissue metabolite analysis. Synapse 2014, 69: 86-95. PMID: 25450608, PMCID: PMC4275380, DOI: 10.1002/syn.21792.Peer-Reviewed Original ResearchConceptsRhesus monkeysPhosphodiesterase 10ASprague-Dawley ratsMP-10Dose-dependent mannerSpecific PET tracersHigh specific bindingPET imaging studiesTissue uptake kineticsBaseline scanBrain regionsImaging studiesFurther evaluationMultilinear analysis methodRegional volumesPET tracersNonhuman primatesPET imagingVivo studiesReference tissueMonkeysBrainCerebellumSpecific bindingPresent study
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply