2022
Impact of dose calculation accuracy on inverse linear energy transfer optimization for intensity‐modulated proton therapy
Chen M, Cao W, Yepes P, Guan F, Poenisch F, Xu C, Chen J, Li Y, Vazquez I, Yang M, Zhu X, Zhang X. Impact of dose calculation accuracy on inverse linear energy transfer optimization for intensity‐modulated proton therapy. Precision Radiation Oncology 2022, 7: 36-44. DOI: 10.1002/pro6.1179.Peer-Reviewed Original ResearchIntensity-modulated proton therapyDose calculation accuracyMore beamsCalculation accuracyMC algorithmMonte Carlo algorithmDifferent dose calculation algorithmsTransfer optimizationProstate cancer patientsIntensity-modulated proton therapy (IMPT) plansProton therapyClinical target volumeNumber of beamsPencil beam algorithmDose calculation algorithmPlan robustnessDose calculation engineCarlo algorithmEnergy transfer optimizationFinal dose calculationInverse treatmentDose differenceCancer patientsProton therapy plansDose constraints
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
Potential for Improvements in Robustness and Optimality of Intensity-Modulated Proton Therapy for Lung Cancer with 4-Dimensional Robust Optimization
Ge S, Wang X, Liao Z, Zhang L, Sahoo N, Yang J, Guan F, Mohan R. Potential for Improvements in Robustness and Optimality of Intensity-Modulated Proton Therapy for Lung Cancer with 4-Dimensional Robust Optimization. Cancers 2019, 11: 35. PMID: 30609652, PMCID: PMC6356681, DOI: 10.3390/cancers11010035.Peer-Reviewed Original ResearchLung cancer patientsIntensity-modulated proton therapyCancer patientsIMPT dose distributionsClinical target volume coverageNormal tissue dose distributionsTarget volume coveragePlanning target volumeTarget dose coverageConventional planning target volumeRespiratory motionDose distributionDifferent tumor sizesTarget dose distributionProton therapyTumor sizeLung cancerDose coverageTreatment planIMPT plansTarget volumeNormal tissuesVolume coverageRespiratory phasesPatients
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 scan
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
2014
SU‐E‐T‐491: Importance of Energy Dependent Protons Per MU Calibration Factors in IMPT Dose Calculations Using Monte Carlo Technique
Randeniya S, Mirkovic D, Titt U, Guan F, Mohan R. SU‐E‐T‐491: Importance of Energy Dependent Protons Per MU Calibration Factors in IMPT Dose Calculations Using Monte Carlo Technique. Medical Physics 2014, 41: 339-339. DOI: 10.1118/1.4888824.Peer-Reviewed Original ResearchAbsolute dose valuesPA beamDose distributionEnergy deposition dataCalibration factorMC simulationsDose calculationsDose valuesMC dose calculationsAbsolute dose distributionsIon pairsDose monitorMonte Carlo techniqueBeamOblique beamsAbsolute doseMonte Carlo simulationsProtonsProton therapyExperimental measurementsCarlo techniqueCarlo simulationsCalculationsExperimental methodsMC technique