2024
Multimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI
Ma C, Han P, Marin T, Zhuo Y, Shih H, Fakhri G. Multimodality Molecular Imaging of Brain Tumor Using Simultaneous [18F]FET-PET/MRSI. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10656528.Peer-Reviewed Original ResearchList-mode dataMR spectroscopic imagingSpatial resolutionAccurate brain tumor delineationMR physicsIsotropic resolutionBrain tumor delineationImprove treatment planningSpectroscopic imagingTumor delineationSignal-to-noise ratioIntact blood-brain barrierImaging speedAmino acid radiotracerImaging timeMR signalHigher proliferation activityStructural MRTreatment planningBlood-brain barrierMR spectroscopic imaging dataMolecular imaging of brain tumorsTumor involvementTumor infiltrationTumor marginsRadiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation
Beddok A, Orlhac F, Rozenblum L, Calugaru V, Créhange G, Dercle L, Nioche C, Thariat J, Marin T, El Fakhri G, Buvat I. Radiomics-driven personalized radiotherapy for primary and recurrent tumors: A general review with a focus on reirradiation. Cancer/Radiothérapie 2024, 28: 597-602. PMID: 39406602, DOI: 10.1016/j.canrad.2024.09.002.Peer-Reviewed Original ResearchPersonalized radiotherapyTumor localizationTreatment planningMedian AUCImaging modalitiesRisk of recurrenceHead and neckImprove treatment precisionPredicting clinical outcomesOptimal treatment planQuantitative imaging biomarkersRecurrent tumorsApplication of radiomicsRecurrent cancerClinical radiotherapyExternal validationClinical outcomesRadiotherapyReirradiationLack of external validationMEDLINE searchTreatment precisionImaging biomarkersImaging protocolTumor
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
2017
Guest Editorial Low-Dose CT: What Has Been Done, and What Challenges Remain?
Liang J, La Riviere P, Fakhri G, Glick S, Siewerdsen J. Guest Editorial Low-Dose CT: What Has Been Done, and What Challenges Remain? IEEE Transactions On Medical Imaging 2017, 36: 2409-2416. DOI: 10.1109/tmi.2017.2768978.Peer-Reviewed Original ResearchCone-beam CTMulti-detector row CTDiscovery of X-raysIntroduction of computed tomographyMonitoring of therapeutic responseMulti-detector-rowImage-guided interventionsProjection dataMagnetic resonance imagingPositron emission tomographyTherapeutic responseEmergency examinationTreatment planningVolumetric imagesDiagnostic imagingEmission tomographyImaging modalitiesResonance imagingX-rayMedical imaging modalitiesCTTomographyTomographic imagesPositron
2016
A novel approach to assess the treatment response using Gaussian random field in PET
Wang M, Guo N, Hu G, El Fakhri G, Zhang H, Li Q. A novel approach to assess the treatment response using Gaussian random field in PET. Medical Physics 2016, 43: 833-842. PMID: 26843244, PMCID: PMC4714995, DOI: 10.1118/1.4939879.Peer-Reviewed Original ResearchConceptsTherapy response assessmentStandardized uptake valuePositron emission tomographyEarly treatment responseResponse assessmentPositron emission tomography imagingTreatment responseTherapy responsePrediction of early treatment responseTreatment planningResponse to anticancer therapyTherapy response evaluationTumor-to-background contrastPost-therapy imagingClinical practiceEvaluate therapy responseReceiver operating characteristic curveDevelopment of personalized treatment plansEvaluate therapy effectsPersonalized treatment plansUptake valuePretherapy imagingClinical oncologyPatient managementAnticancer therapy
2015
Mapping 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
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
2010
SU‐GG‐J‐149: Feasibility of In‐Room PET Imaging for in Vivo Proton Beam Range Verification
España S, Zhu X, Daartz J, Liebsch N, Fakhri G, Bortfeld T, Paganetti H. SU‐GG‐J‐149: Feasibility of In‐Room PET Imaging for in Vivo Proton Beam Range Verification. Medical Physics 2010, 37: 3180-3180. DOI: 10.1118/1.3468372.Peer-Reviewed Original ResearchRange verificationIn-roomProton therapyIn vivo range verificationProton beam range verificationPassive scattering proton therapyBeam range verificationIn-room measurementsOff-line protocolsFalloff positionsBiological washoutTreatment couchCount ratePET imagingTreatment positionPET scannerAttenuation correctionTreatment roomPET scansCo-registration accuracyCT numbersCalculated uncertaintiesPatient studiesWashout modelTreatment planning
2004
A general-spectral method for improved quantitative SPECT imaging of indium-111
Moore S, Park M, Fakhri G, Gerbaudo V, Zimmerman R. A general-spectral method for improved quantitative SPECT imaging of indium-111. 2004, 6: 3682-3684. DOI: 10.1109/nssmic.2004.1466680.Peer-Reviewed Original ResearchRadiotherapy treatment planningList-mode dataFree of scatterQuantitative SPECT imagingScatter compensation methodsList-mode acquisitionDown-scatterScattered photonsPhoton scatteringPhotopeakQuantitative SPECTOSEM reconstructionSPECT imagesLeastsquares procedureDose specificationAttenuation projectionNoisy projectionsScatteringTreatment planningSphere activitySphere locationIndium-111PhotonsContrast valuesSphere position