2024
Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model
Lagier D, Zeng C, Kaczka D, Zhu M, Grogg K, Gerard S, Reinhardt J, Ribeiro G, Rashid A, Winkler T, Vidal Melo M. Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model. Science Translational Medicine 2024, 16: eado1097. PMID: 39141699, DOI: 10.1126/scitranslmed.ado1097.Peer-Reviewed Original ResearchConceptsPositive end-expiratory pressureMechanical ventilationFour-dimensional computed tomographyParenchymal strainsVentilator-induced lung injuryAcute respiratory distress syndromeRespiratory system driving pressureManagement of mechanical ventilationPositive end-expiratory pressure valuesRespiratory distress syndromeTidal overdistensionEnd-expiratory pressureAssociated with mortalityPulmonary complicationsLung biomechanicsLung massDistress syndromeClinical outcomesLung injuryComputed tomographyClinical managementGeneral anesthesiaLung collapseDriving pressureLung
2023
Dynamic lung aeration and strain with positive end-expiratory pressure individualized to maximal compliance versus ARDSNet low-stretch strategy: a study in a surfactant depletion model of lung injury
Zeng C, Zhu M, Motta-Ribeiro G, Lagier D, Hinoshita T, Zang M, Grogg K, Winkler T, Vidal Melo M. Dynamic lung aeration and strain with positive end-expiratory pressure individualized to maximal compliance versus ARDSNet low-stretch strategy: a study in a surfactant depletion model of lung injury. Critical Care 2023, 27: 307. PMID: 37537654, PMCID: PMC10401825, DOI: 10.1186/s13054-023-04591-7.Peer-Reviewed Original ResearchConceptsAcute respiratory distress syndromeFour-dimensional computed tomographyPEEP strategyLung aerationEnd-inspirationLung injuryTidal recruitmentComputed tomographyRegistration-based techniqueEnd-expirationCyclic recruitmentMechanisms of ventilator-induced lung injuryVentilator-induced lung injuryPotential outcome benefitsBackgroundPositive end-expiratory pressureRespiratory distress syndromeHigh-resolution CTRespiratory system complianceEnd-expiratory pressureSaline lung lavageLung massDistress syndromeInspiratory increaseRecruitable lungSurfactant depletion modelImpact of motion correction on [18F]-MK6240 tau PET imaging
Tiss A, Marin T, Chemli Y, Spangler-Bickell M, Gong K, Lois C, Petibon Y, Landes V, Grogg K, Normandin M, Becker A, Thibault E, Johnson K, Fakhri G, Ouyang J. Impact of motion correction on [18F]-MK6240 tau PET imaging. Physics In Medicine And Biology 2023, 68: 105015. PMID: 37116511, PMCID: PMC10278956, DOI: 10.1088/1361-6560/acd161.Peer-Reviewed Original ResearchConceptsMotion correctionPET quantitationImpact of motion correctionList-mode reconstructionMotion correction methodList-mode dataMotion-corrected imagesEffect of motion correctionVoxel displacementsPhantom experimentsOptical tracking dataLong acquisitionBrain PET scansSlow motionImage qualityPET imagingPositron emission tomographyCorrectionMotionCorrection methodRates of tau accumulationHead motionMotion metricsPhantomPositronEffect of PEEP Setting With Minimal Driving Pressure on the Distribution of Voxel-level Lung Strain and Aeration Measured With Dynamic Computed Tomography (CT) in Large Animal Normal and Injured Lungs
Zeng C, Lagier D, Zhu M, Rashid A, Winkler T, Grogg K, Gerard S, Kaczka D, Reinhardt J, Vidal Melo M. Effect of PEEP Setting With Minimal Driving Pressure on the Distribution of Voxel-level Lung Strain and Aeration Measured With Dynamic Computed Tomography (CT) in Large Animal Normal and Injured Lungs. 2023, a6061-a6061. DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a6061.Peer-Reviewed Original Research
2021
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-ray
2020
Lung Atelectasis Promotes Immune and Barrier Dysfunction as Revealed by Transcriptome Sequencing in Female Sheep.
Zeng C, Motta-Ribeiro G, Hinoshita T, Lessa M, Winkler T, Grogg K, Kingston N, Hutchinson J, Sholl L, Fang X, Varelas X, Layne M, Baron R, Vidal Melo M. Lung Atelectasis Promotes Immune and Barrier Dysfunction as Revealed by Transcriptome Sequencing in Female Sheep. Anesthesiology 2020, 133: 1060-1076. PMID: 32796202, PMCID: PMC7572680, DOI: 10.1097/aln.0000000000003491.Peer-Reviewed Original ResearchConceptsAlveolar-capillary barrier functionInterferon-stimulated genesImmune responseLung atelectasisAerated lungBarrier functionAerated lung regionsPulmonary transcriptomeSystemic lipopolysaccharideYes-associated protein signalingPulmonary atelectasisGene set enrichment analysisSystemic inflammationBronchial blockerLung injuryRight lungBarrier dysfunctionComputed tomographyLipopolysaccharide exposureAtelectasisLipopolysaccharide infusionAbsolute fold changeYes-associated proteinAtelectatic lungLungOne-Lung Ventilation Causes Blood Transcriptomic Changes in Intact and Endotoxemic Sheep
Zeng C, Motta Ribeiro G, Hinoshita T, Lessa M, Kosour C, Grogg K, Hutchinson J, Baron R, Winkler T, Vidal Melo M. One-Lung Ventilation Causes Blood Transcriptomic Changes in Intact and Endotoxemic Sheep. 2020, a4104-a4104. DOI: 10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4104.Peer-Reviewed Original Research
2019
Performance evaluation of the 5‐Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2‐2012 Standard
Pan T, Einstein S, Kappadath S, Grogg K, Gomez C, Alessio A, Hunter W, Fakhri G, Kinahan P, Mawlawi O. Performance evaluation of the 5‐Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2‐2012 Standard. Medical Physics 2019, 46: 3025-3033. PMID: 31069816, PMCID: PMC7251507, DOI: 10.1002/mp.13576.Peer-Reviewed Original ResearchConceptsAxial field-of-viewPeak noise-equivalent count rateNoise-equivalent count rateField of viewCount ratePET performanceNational Electrical Manufacturers Association NU-2Transaxial field of viewPET/CT systemTime resolutionMean energy resolutionConventional photomultiplier tubesCount rate performanceImage quality phantomSpatial resolution measurementsFiltered back projection algorithmImage qualityEnergy resolutionAcquisition timeNU 2Count lossDetector designPhotomultiplier tubeMean energyPET/MR systemsFirst results developing time-of-flight proton radiography for proton therapy applications
Worstell W, Adams B, Aviles M, Bond J, Cascio E, Cremer T, Fakhri G, Ertley C, Foley M, Grogg K, Hamel C, Lu H, Lyashenko A, Minot M, Paganetti H, Popecki M, Stochaj M. First results developing time-of-flight proton radiography for proton therapy applications. Progress In Biomedical Optics And Imaging 2019, 10948: 109480g-109480g-9. DOI: 10.1117/12.2511804.Peer-Reviewed Original ResearchSub-relativisticMicro-channel plate photomultiplier tubeTime-of-flight telescopeTime resolutionProton therapy applicationsProton therapy treatmentsProton Therapy CenterResidual energy measurementProton beam testsBeam testMillimeter-scale spatial resolutionProton bunchesMonoenergetic protonsPlastic scintillatorPhoton detectorsProton radiographyImaging detectorMCP-PMTPhotomultiplier tubeBunch structureWaveform digitizerIndividual protonsMicrochannel plateHigh energyPhotodetection mode
2018
Deterioration of Regional Lung Strain and Inflammation during Early Lung Injury
Motta-Ribeiro G, Hashimoto S, Winkler T, Baron R, Grogg K, Paula L, Santos A, Zeng C, Hibbert K, Harris R, Bajwa E, Vidal Melo M. Deterioration of Regional Lung Strain and Inflammation during Early Lung Injury. American Journal Of Respiratory And Critical Care Medicine 2018, 198: 891-902. PMID: 29787304, PMCID: PMC6173064, DOI: 10.1164/rccm.201710-2038oc.Peer-Reviewed Original ResearchMeSH KeywordsAcute Lung InjuryAnalysis of VarianceAnimalsBiopsy, NeedleBlood Gas AnalysisDisease Models, AnimalEndotoxemiaEndotoxinsFemaleFluorodeoxyglucose F18HumansImmunohistochemistryInfusions, IntravenousLinear ModelsMultivariate AnalysisPositron-Emission TomographyPulmonary AtelectasisRandom AllocationRespiration, ArtificialRespiratory Distress SyndromeRespiratory Function TestsRisk FactorsSheepTidal VolumeTime FactorsTomography, X-Ray ComputedConceptsLung injurySupine lungConsistent with clinical practiceBlood volumeF-FDG phosphorylation rateLocal neutrophilic inflammationAssociated with increased inflammationF-FDG uptakeEarly mechanical ventilationClinical practiceEarly lung injuryPositive end-expiratory pressureLung strainEnd-expiratory pressurePositron emission tomographyF-FDGUninjured lungsImaging findingsRegional inflammationNeutrophilic inflammationSystemic endotoxemiaProne positionComputed tomographyVentilated patientsIntravenous endotoxin
2017
Use of Monte Carlo Techniques in Nuclear Medicine
Fahey F, Grogg K, Fakhri G. Use of Monte Carlo Techniques in Nuclear Medicine. Journal Of The American College Of Radiology 2017, 15: 446-448. PMID: 29173989, PMCID: PMC6335966, DOI: 10.1016/j.jacr.2017.09.045.Peer-Reviewed Original ResearchFeasibility study of using fall‐off gradients of early and late PET scans for proton range verification
Cho J, Grogg K, Min C, Zhu X, Paganetti H, Lee H, Fakhri G. Feasibility study of using fall‐off gradients of early and late PET scans for proton range verification. Medical Physics 2017, 44: 1734-1746. PMID: 28273345, PMCID: PMC5462437, DOI: 10.1002/mp.12191.Peer-Reviewed Original ResearchConceptsProton range verificationProton rangeMonte Carlo simulationsRange verificationFall-offIn-room positron emission tomographyCarlo simulationsResidual proton rangeDose fall-offPostirradiation delayPositron emission tomography imagingSOBP beamProton beamPositron emission tomographyPositron emission tomography scanPhantom studyIn-roomFunction of depthPhantomProtonOff-setMonteAcquisition timeBeamPositron emission tomography signal
2015
National Electrical Manufacturers Association and Clinical Evaluation of a Novel Brain PET/CT Scanner
Grogg K, Toole T, Ouyang J, Zhu X, Normandin M, Li Q, Johnson K, Alpert N, Fakhri G. National Electrical Manufacturers Association and Clinical Evaluation of a Novel Brain PET/CT Scanner. Journal Of Nuclear Medicine 2015, 57: 646-652. PMID: 26697961, PMCID: PMC4818715, DOI: 10.2967/jnumed.115.159723.Peer-Reviewed Original ResearchConceptsNoise-equivalent count rateCount rateLoose cutsMaximum noise-equivalent counting rateSpatial resolutionDetector ringSilicon photomultipliersBrain phantomContrast recoveryAttenuation correctionPET/CT systemCrystal blockPET/CT scannerImage qualityRadial offsetNational Electrical Manufacturers AssociationActivity distributionUnique mobility capabilitiesAxial extentTransverse resolutionPhantomAxial resolutionActivity concentrationsHuman scansLayer 1 cmMapping 15O Production Rate for Proton Therapy Verification
Grogg K, Alpert N, Zhu X, Min C, Testa M, Winey B, Normandin M, Shih H, Paganetti H, Bortfeld T, Fakhri G. Mapping 15O Production Rate for Proton Therapy Verification. International Journal Of Radiation Oncology • Biology • Physics 2015, 92: 453-459. PMID: 25817530, PMCID: PMC4431894, DOI: 10.1016/j.ijrobp.2015.01.023.Peer-Reviewed Original ResearchConceptsDecay constantProton treatment planningMonte Carlo predictionsProton therapyPhantom materialTreatment deliveryPhantomThigh activityPositron emission tomographyProduction rateDynamic PET measurementsTreatment planningRabbit thigh muscleClearance rateProtonIsotopesChanges due to therapyRadionuclide speciesOxygen-15ConstantDecayImaging targetsMontePositronEffects of perfusion
2014
A Recommendation on How to Analyze In-Room PET for In Vivo Proton Range Verification Using a Distal PET Surface Method
Min C, Zhu X, Grogg K, Fakhri G, Winey B, Paganetti H. A Recommendation on How to Analyze In-Room PET for In Vivo Proton Range Verification Using a Distal PET Surface Method. Technology In Cancer Research & Treatment 2014, 14: 320-325. PMID: 25246517, PMCID: PMC4898041, DOI: 10.1177/1533034614547457.Peer-Reviewed Original ResearchConceptsIn vivo range verificationIn-room positron emission tomographyRange verificationBeam passageIn vivo proton range verificationIn-roomIn-room PET scannerPositron emission tomography activityProton beam rangeProton range verificationSingle-field treatmentsProton beam deliveryAverage range differencesBeam rangeBeam deliveryPET scannerRoot-mean-square deviationPositron emission tomographyBeamRange differencesLevel surfaceActive lineActivity levelsLocal variationsTreatment courseOC-0268: Uncertainties in PET-based range verification of pristine and spread-out Bragg peaks of clinical proton therapy
Liebl J, Testa M, Lu H, Winey B, Grogg K, Zhu X, Fakhri G, Paganetti H. OC-0268: Uncertainties in PET-based range verification of pristine and spread-out Bragg peaks of clinical proton therapy. Radiotherapy And Oncology 2014, 111: s103. DOI: 10.1016/s0167-8140(15)30373-x.Peer-Reviewed Original ResearchSP-0223: Latest developments in in-vivo dose and range imaging
Bortfeld T, Fakhri G, Grogg K, Paganetti H, Parodi K, Richter C, Seco J, Verburg J, Winey B, Zhu X. SP-0223: Latest developments in in-vivo dose and range imaging. Radiotherapy And Oncology 2014, 111: s87. DOI: 10.1016/s0167-8140(15)30328-5.Peer-Reviewed Original Research
2013
Feasibility of Using Distal Endpoints for In-Room PET Range Verification of Proton Therapy
Grogg K, Zhu X, Min C, Winey B, Bortfeld T, Paganetti H, Shih H, Fakhri G. Feasibility of Using Distal Endpoints for In-Room PET Range Verification of Proton Therapy. IEEE Transactions On Nuclear Science 2013, 60: 3290-3297. DOI: 10.1109/tns.2013.2278140.Peer-Reviewed Original ResearchPET distributionsNuclear reactionsProton therapyMC-PETSimulated positron emission tomographyIn-roomMonte CarloPET resolutionPositron emission tomographyRange verificationBiological washoutDose depthThreshold energyDose deliveryCross sectionPlanned doseMC simulationsIndividual beamsSimPETOne-dimensional profilesRadiological decayBeamDistal endpointsProtonNative nucleiFeasibility of using distal endpoints for In-room PET Range Verification of Proton Therapy
Grogg K, Zhu X, Min C, Winey B, Bortfeld T, Paganetti H, Shih H, El Fakhri G. Feasibility of using distal endpoints for In-room PET Range Verification of Proton Therapy. IEEE Transactions On Nuclear Science 2013, 60: 3890-3894. PMID: 24464031, PMCID: PMC3900284, DOI: 10.1109/nssmic.2012.6551892.Peer-Reviewed Original ResearchPET distributionsNuclear reactionsProton therapyMC-PETSimulated positron emission tomographyMonte CarloPET resolutionPositron emission tomographyRange verificationBiological washoutDose depthThreshold energyDose deliveryCross sectionPlanned doseMC simulationsIndividual beamsSimPETOne-dimensional profilesIn-roomRadiological decayBeamDistal endpointsProtonNative nucleiClinical Application of In-Room Positron Emission Tomography for In Vivo Treatment Monitoring in Proton Radiation Therapy
Min C, Zhu X, Winey B, Grogg K, Testa M, Fakhri G, Bortfeld T, Paganetti H, Shih H. Clinical Application of In-Room Positron Emission Tomography for In Vivo Treatment Monitoring in Proton Radiation Therapy. International Journal Of Radiation Oncology • Biology • Physics 2013, 86: 183-189. PMID: 23391817, PMCID: PMC3640852, DOI: 10.1016/j.ijrobp.2012.12.010.Peer-Reviewed Original ResearchConceptsIn-room positron emission tomographyProton therapyIn-roomPositron emission tomography scanIn-room PET scannerPassive scattering proton therapyShapes of target volumesPositron emission tomographyMC predictionBeam range uncertaintiesMeasured PET imagesMonte CarloProton radiation therapyLocal elemental compositionBiological washoutScan timeTreatment headTreatment verificationRange uncertaintiesTarget volumePET scan timePET scannerPET systemComputed tomographyMC results