2022
Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine
Toyonaga T, Shao D, Shi L, Zhang J, Revilla EM, Menard D, Ankrah J, Hirata K, Chen MK, Onofrey JA, Lu Y. Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3086-3097. PMID: 35277742, PMCID: PMC10725742, DOI: 10.1007/s00259-022-05748-2.Peer-Reviewed Original ResearchConceptsNeural networkNovel deep learningNet neural networkPET/CT datasetsImage analysis metricsPhysics-based loss functionDeep learningCT-derived attenuation mapAttenuation mapLoss functionAnalysis metricsDetail recoveryTumor volume estimationMLAACT datasetsOSEM algorithmNetworkAlgorithmAttenuation correctionCorrection framework
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 ResearchMeSH KeywordsAlgorithmsFluorodeoxyglucose F18HumansPositron-Emission TomographyRadiopharmaceuticalsWhole Body ImagingConceptsPopulation-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 imagingPETGeneration of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning
Wang R, Liu H, Toyonaga T, Shi L, Wu J, Onofrey JA, Tsai Y, Naganawa M, Ma T, Liu Y, Chen M, Mecca AP, O’Dell R, van Dyck C, Carson RE, Liu C. Generation of synthetic PET images of synaptic density and amyloid from 18F‐FDG images using deep learning. Medical Physics 2021, 48: 5115-5129. PMID: 34224153, PMCID: PMC8455448, DOI: 10.1002/mp.15073.Peer-Reviewed Original ResearchAlzheimer DiseaseAniline CompoundsBrainDeep LearningFluorodeoxyglucose F18HumansPositron-Emission TomographyComparison 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 ResearchMeSH KeywordsAgedAged, 80 and overAlzheimer DiseaseFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyConceptsSynaptic 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
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 zone
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
2016
The need of standardization and of large clinical studies in an emerging indication of [18F]FDG PET: the autoimmune encephalitis
Morbelli S, Arbizu J, Booij J, Chen MK, Chetelat G, Cross DJ, Djekidel M, Drzezga A, Ekmekcioglu O, Garibotto V, Hesse S, Ishii K, Saraf LJ, Lammertsma AA, Law I, Mathews D, Minoshima S, Mosci K, Pagani M, Pappata S, Silverman DH, Signore A, Van De Giessen E, Villemagne V, Barthel H, on behalf of the European Association of Nuclear Medicine (EANM) and of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). The need of standardization and of large clinical studies in an emerging indication of [18F]FDG PET: the autoimmune encephalitis. European Journal Of Nuclear Medicine And Molecular Imaging 2016, 44: 353-357. PMID: 27924371, DOI: 10.1007/s00259-016-3589-9.Commentaries, Editorials and LettersDetermining the Minimal Required Radioactivity of 18F-FDG for Reliable Semiquantification in PET/CT Imaging: A Phantom Study
Chen MK, Menard DH, Cheng DW. Determining the Minimal Required Radioactivity of 18F-FDG for Reliable Semiquantification in PET/CT Imaging: A Phantom Study. Journal Of Nuclear Medicine Technology 2016, 44: 26-30. PMID: 26769598, DOI: 10.2967/jnmt.115.165258.Peer-Reviewed Original Research
2014
Use of (18)F-fluorodeoxyglucose positron emission tomography-computed tomography to aid in diagnosing intestinal adenocarcinoma in 2 rhesus macaques (Macaca mulatta).
Caporizzo DJ, Kwiatkowski AE, Chen MK, Beck AP, Booth CJ, Zeiss C, Smith PC, Carlson Scholz JA, Wilson SR. Use of (18)F-fluorodeoxyglucose positron emission tomography-computed tomography to aid in diagnosing intestinal adenocarcinoma in 2 rhesus macaques (Macaca mulatta). Comparative Medicine 2014, 64: 211-20. PMID: 24956213, PMCID: PMC4067585.Peer-Reviewed Case Reports and Technical NotesMeSH KeywordsAdenocarcinomaAnimalsFemaleFluorodeoxyglucose F18Intestinal NeoplasmsMacaca mulattaMonkey DiseasesPositron-Emission TomographyConceptsIntestinal adenocarcinomaAdvanced ageFluorodeoxyglucose positron emission tomography-computed tomographyPositron emission tomography-computed tomographyPositron emission tomography-CTEmission tomography-computed tomographyRhesus macaquesAged female rhesus macaquesInconclusive radiographic findingsFocal FDG uptakeTomography-computed tomographyNoninvasive diagnostic toolFemale rhesus macaquesExploratory laparotomyFDG uptakeFDG-PETGastrointestinal adenocarcinomasRadiographic findingsTomography-CTClinical signsTransmural massAdenocarcinomaSmall intestineConventional radiographyNonhuman primates