2022
Optimization of FLASH proton beams using a track‐repeating algorithm
Wang Q, Titt U, Mohan R, Guan F, Zhao Y, Yang M, Yepes P. Optimization of FLASH proton beams using a track‐repeating algorithm. Medical Physics 2022, 49: 6684-6698. PMID: 35900902, DOI: 10.1002/mp.15849.Peer-Reviewed Original ResearchRoadmap: helium ion therapy
Mairani A, Mein S, Blakely E, Debus J, Durante M, Ferrari A, Fuchs H, Georg D, Grosshans DR, Guan F, Haberer T, Harrabi S, Horst F, Inaniwa T, Karger CP, Mohan R, Paganetti H, Parodi K, Sala P, Schuy C, Tessonnier T, Titt U, Weber U. Roadmap: helium ion therapy. Physics In Medicine And Biology 2022, 67: 15tr02. PMID: 35395649, DOI: 10.1088/1361-6560/ac65d3.Peer-Reviewed Original ResearchMeSH KeywordsCarbonHeavy Ion RadiotherapyHeliumIonsProton TherapyProtonsRelative Biological EffectivenessConceptsHelium ion beamHeavy ion therapyIon beam therapyHelium ionsIon beamIon therapyRelative biological effectivenessHeavy ion beamsLawrence Berkeley National LaboratoryCarbon ion beamsHelium ion therapyDifferent particle speciesBerkeley National LaboratoryClinical proton beamsCarbon ion therapyLinear energy transferHigh relative biological effectivenessSharp lateral penumbraHigh penetration depthLateral scatteringNeon ionsBeam therapyProton beamParticle speciesTerms of physicsAdaptation and dosimetric commissioning of a synchrotron-based proton beamline for FLASH experiments
Yang M, Wang X, Guan F, Titt U, Iga K, Jiang D, Takaoka T, Tootake S, Katayose T, Umezawa M, Schüler E, Frank S, Lin SH, Sahoo N, Koong AC, Mohan R, Zhu XR. Adaptation and dosimetric commissioning of a synchrotron-based proton beamline for FLASH experiments. Physics In Medicine And Biology 2022, 67: 165002. PMID: 35853442, PMCID: PMC9422888, DOI: 10.1088/1361-6560/ac8269.Peer-Reviewed Original ResearchConceptsAdvanced Markus chamberProton beamlineEBT-XD filmsMarkus chamberIrradiation conditionsUltra-high dose ratesUnique time structureFLASH irradiationAverage dose rateAbsolute dose calibrationDose rateBeamlineDose calibrationFlash experimentsTime structureAbsolute doseIrradiation platformMonte Carlo simulationsFLASH effectField sizeFlash conditionsDose controlGy sPrecise dosimetryCarlo simulations
2020
Exploring the advantages of intensity-modulated proton therapy: experimental validation of biological effects using two different beam intensity-modulation patterns
Ma D, Bronk L, Kerr M, Sobieski M, Chen M, Geng C, Yiu J, Wang X, Sahoo N, Cao W, Zhang X, Stephan C, Mohan R, Grosshans DR, Guan F. Exploring the advantages of intensity-modulated proton therapy: experimental validation of biological effects using two different beam intensity-modulation patterns. Scientific Reports 2020, 10: 3199. PMID: 32081928, PMCID: PMC7035246, DOI: 10.1038/s41598-020-60246-5.Peer-Reviewed Original ResearchConceptsIntensity-modulated proton therapyLow-energy beamsIntensity modulation patternCurrent treatment planProton therapyBiological effectsDelivery strategiesTarget doseTherapeutic indexTreatment planHigh-energy beamsEffective doseEnhanced biological effectClinical potentialTherapyCancer cellsDoseBragg peak
2019
Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness
Newpower M, Patel D, Bronk L, Guan F, Chaudhary P, McMahon SJ, Prise KM, Schettino G, Grosshans DR, Mohan R. Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness. International Journal Of Radiation Oncology • Biology • Physics 2019, 104: 316-324. PMID: 30731186, PMCID: PMC6499683, DOI: 10.1016/j.ijrobp.2019.01.094.Peer-Reviewed Original ResearchMeSH KeywordsLinear Energy TransferMonte Carlo MethodProton TherapyProtonsRadiotherapy DosageRelative Biological EffectivenessConceptsProton energy spectraMicrodosimetric kinetic modelDose-mean lineal energyRelative biological effectivenessProton irradiation experimentsEnergy spectrumLineal energyLineal energy yIrradiation experimentsLineal energy distributionsDose-averaged linear energy transferBiological effectivenessDifferent proton energiesLinear energy transferRBE modelsProton energyBragg curveEnergy distributionGeant4-DNAProton irradiationRBE data
2018
Patterns of Local-Regional Failure After Intensity Modulated Radiation Therapy or Passive Scattering Proton Therapy With Concurrent Chemotherapy for Non-Small Cell Lung Cancer
Yang P, Xu T, Gomez DR, Deng W, Wei X, Elhalawani H, Jin H, Guan F, Mirkovic D, Xu Y, Mohan R, Liao Z. Patterns of Local-Regional Failure After Intensity Modulated Radiation Therapy or Passive Scattering Proton Therapy With Concurrent Chemotherapy for Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2018, 103: 123-131. PMID: 30165127, DOI: 10.1016/j.ijrobp.2018.08.031.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerInternal target volumePlanning target volumeCell lung cancerLarge tumorsRegional failureMarginal failureLocal failureLung cancerSmall tumorsCox proportional hazards analysisTarget volumeLocal-regional failureOnly independent predictorOverall survival rateProportional hazards analysisProton therapyComputed tomography simulationPassive Scattering Proton TherapyConcurrent chemotherapyLocoregional failureFavorable survivalIndependent predictorsTumor controlTomography scanPower-law relationship in the long-tailed sections of proton dose distributions
Jiang B, Wang X, Zhang Y, Guan F, Li Y, Wang X, Zhu RX, Zhang X. Power-law relationship in the long-tailed sections of proton dose distributions. Scientific Reports 2018, 8: 10413. PMID: 29991734, PMCID: PMC6039508, DOI: 10.1038/s41598-018-28683-5.Peer-Reviewed Original ResearchMeSH KeywordsDose-Response Relationship, DrugHumansModels, TheoreticalParticle SizeProton TherapyProtonsConceptsIndirect impact mechanismMathematical modelDose distributionPower-law exponentLateral dose distributionProton dose distributionsStatistical methodsImpact probabilityPower law relationshipDirect impact mechanismHalo portionDose profilesDose depositionExperimental dataLong tailProbabilityDistributionProton impactExponentPhysical parameter optimization scheme for radiobiological studies of charged particle therapy
Geng C, Gates D, Bronk L, Ma D, Guan F. Physical parameter optimization scheme for radiobiological studies of charged particle therapy. Physica Medica 2018, 51: 13-21. PMID: 30278981, PMCID: PMC6173200, DOI: 10.1016/j.ejmp.2018.06.001.Peer-Reviewed Original ResearchMeSH KeywordsHeavy Ion RadiotherapyLinear Energy TransferMonte Carlo MethodProton TherapyRadiobiologyRelative Biological EffectivenessConceptsIon beamParticle therapyPhysical quantitiesDose-averaged linear energy transferC-ion beamsLinear energy transferBiological dose optimizationParticle beamsProton beamBragg curveBragg peakWhole target regionBeamCorresponding physical dataEnergy transferProtonsMonte Carlo simulationsAppropriate biophysical modelSpatial distributionSOBPRadiobiological studiesCarlo simulationsDose spreadIonsLET
2017
Radiobiological issues in proton therapy
Mohan R, Peeler CR, Guan F, Bronk L, Cao W, Grosshans DR. Radiobiological issues in proton therapy. Acta Oncologica 2017, 56: 1367-1373. PMID: 28826292, PMCID: PMC5842809, DOI: 10.1080/0284186x.2017.1348621.Peer-Reviewed Original ResearchConceptsClinical practiceClinical evidenceProton therapyProton relative biological effectivenessClear clinical evidenceCurrent clinical practiceRelative biological effectivenessIntensity-modulated proton therapyMore patientsTherapeutic ratioUnforeseen toxicityTreatment planTherapyVariable relative biological effectivenessEffective dose distributionRadiation dosePatientsDoseCell typesEstimation of doseDose distributionParticle therapyRadiobiological issuesRBE variabilityEvidence
2015
Analysis of the track‐ and dose‐averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code
Guan F, Peeler C, Bronk L, Geng C, Taleei R, Randeniya S, Ge S, Mirkovic D, Grosshans D, Mohan R, Titt U. Analysis of the track‐ and dose‐averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code. Medical Physics 2015, 42: 6234-6247. PMID: 26520716, PMCID: PMC4600086, DOI: 10.1118/1.4932217.Peer-Reviewed Original Research