2025
Modeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model
Dong Y, Marin T, Zhuo Y, Najem E, Beddok A, Rozenblum L, Moteabbed M, Grogg K, Xing F, Woo J, Chen Y, Lim R, Liu X, Ma C, Fakhri G. Modeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model. Medical Physics 2025 PMID: 40317577, DOI: 10.1002/mp.17865.Peer-Reviewed Original ResearchClinical target volumeGross tumor volumeClinical target volume delineationSoft tissue sarcomasInter-reader variabilityTissue sarcomasClinical target volume contoursMagnetic resonance imagingCTV delineationTarget volume delineationComputed tomographyTreatment of soft tissue sarcomasFluorodeoxyglucose positron emission tomographyCTV contoursTarget volumeVolume delineationT1-weighted magnetic resonance imagingRadiotherapy treatmentEnergy distanceHigh Dice indexPositron emission tomographyTumor volumeMicroscopic spreadFDG-PETTreatment planningOverall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr
Kim G, Xing F, Kong H, Santarnecchi E, Shih H, Bortfeld T, Fakhri G, Liu X, Choi J, Woo J. Overall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr. 2025, 00: 1-5. DOI: 10.1109/isbi60581.2025.10981128.Peer-Reviewed Original ResearchMultimodal magnetic resonance imagingBrain tumor patientsGlioblastoma patient survivalPersonalized treatment plansSurvival prediction performanceMultimodal MRIOverall survival predictionMagnetic resonance imagingHand-crafted featuresState-of-the-artMulti-scale featuresMulti-task frameworkPatient survivalClinical prognosisTumor patientsGlioblastoma patientsSuperior segmentation accuracyTreatment planningResonance imagingSurvival prediction taskPredictive performanceSurvival predictionPrediction taskBraTS datasetSurvivalComputational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories
Yusufaly T, Roncali E, Brosch-Lenz J, Uribe C, Jha A, Currie G, Dutta J, El-Fakhri G, McMeekin H, Pandit-Taskar N, Schwartz J, Shi K, Strigari L, Zaidi H, Saboury B, Rahmim A. Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories. Journal Of Nuclear Medicine 2025, 66: 509-515. PMID: 39947910, PMCID: PMC11960611, DOI: 10.2967/jnumed.124.267927.Peer-Reviewed Original ResearchRadiopharmaceutical therapyImage-based dosimetryPrediction of doseInternal dosimetryPersonalized treatment plansMetastatic diseaseDosimetryNuclear oncologyClinical outcomesNuclear medicineClinical endpointsTreatment planningOncology communityDose responseEtiological mechanismsTargeted deliveryRadiobiologyRadiotherapyMalignancyRadiationLong-termTherapyPharmacotherapyDoseRadiopharmacokineticsComputational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins
Strigari L, Schwarz J, Bradshaw T, Brosch-Lenz J, Currie G, El-Fakhri G, Jha A, Mežinska S, Pandit-Taskar N, Roncali E, Shi K, Uribe C, Yusufaly T, Zaidi H, Rahmim A, Saboury B. Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Ethical, Regulatory, and Socioeconomic Dimensions of Theranostic Digital Twins. Journal Of Nuclear Medicine 2025, 66: jnumed.124.268186. PMID: 39848769, PMCID: PMC12051771, DOI: 10.2967/jnumed.124.268186.Peer-Reviewed Original ResearchRadiopharmaceutical therapyNuclear oncologySociety of Nuclear MedicinePredictive dosimetryDosimetric informationTreatment planningTreatment outcomesLack of reimbursementTreatment personalizationDose responseTreatment optimizationEtiological mechanismsRobust security measuresPatient consentReal-world systemsNuclear medicineCross-border data sharingPatientsTreatmentEthical approvalGross tumor volume confidence maps prediction for soft tissue sarcomas from multi-modality medical images using a diffusion model
Dong Y, Marin T, Zhuo Y, Najem E, Moteabbed M, Xing F, Beddok A, Lahoud R, Rozenblum L, Ding Z, Liu X, Grogg K, Woo J, Chen Y, Lim R, Ma C, Fakhri G. Gross tumor volume confidence maps prediction for soft tissue sarcomas from multi-modality medical images using a diffusion model. Physics And Imaging In Radiation Oncology 2025, 33: 100734. PMID: 40123775, PMCID: PMC11926426, DOI: 10.1016/j.phro.2025.100734.Peer-Reviewed Original ResearchGross tumor volumeSoft tissue sarcomasTissue sarcomasGross tumor volume delineationManual GTV delineationsMagnetic resonance imagingComputed tomographyFluorodeoxyglucose positron emission tomographyGTV delineationT1-weighted magnetic resonance imagingSingle-modePositron emission tomographyMulti-modal medical imagesTumor volumeIntra-reader variabilityFDG-PETTreatment planningSarcomaEmission tomographyImaging modalitiesResonance imagingDiffusion modelDice indexReader variabilityPatients
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 protocolTumorA Unified Approach for Synthesizing Multimodal Brain MR Images via Gated Hybrid Fusion
Cho J, Liu X, Xing F, Ouyang J, El Fakhri G, Park J, Woo J. A Unified Approach for Synthesizing Multimodal Brain MR Images via Gated Hybrid Fusion. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2242.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
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
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply