2018
A multi-parameterized artificial neural network for lung cancer risk prediction
Hart GR, Roffman DA, Decker R, Deng J. A multi-parameterized artificial neural network for lung cancer risk prediction. PLOS ONE 2018, 13: e0205264. PMID: 30356283, PMCID: PMC6200229, DOI: 10.1371/journal.pone.0205264.Peer-Reviewed Original ResearchConceptsLung cancer risk predictionHistory of strokeNon-invasive clinical toolLung cancer riskHealth informationPersonal health informationNon-cancer casesCancer risk predictionRisk stratificationSmoking statusHeart diseaseExercise habitsHispanic ethnicityLung cancer detectionCancer riskClinical toolAdult dataRisk predictionModest sensitivityCancer detectionAUCHigh specificitySpecificityHypertensionAsthma
2016
Radiation-induced heart disease in lung cancer radiotherapy
Ming X, Feng Y, Yang C, Wang W, Wang P, Deng J. Radiation-induced heart disease in lung cancer radiotherapy. Medicine 2016, 95: e5051. PMID: 27741117, PMCID: PMC5072944, DOI: 10.1097/md.0000000000005051.Peer-Reviewed Original ResearchMeSH KeywordsGlobal HealthHumansIncidenceLung NeoplasmsRadiation InjuriesRadiotherapy DosageRisk FactorsConceptsRadiation-induced heart diseaseLung cancer radiotherapyLung cancer patientsPotential risk factorsCancer radiotherapyCancer patientsCardiac toxicityHeart diseaseRisk factorsRadiation treatmentLung cancer survivorsLate side effectsHistory of heartTypes of cancerCardiac complicationsCrude incidencePulmonary diseaseBetter prognosisLobar locationBenign diseaseCancer survivorsLung cancerTreatment modalitiesPatient prognosisBreast cancer
2015
Intermediate Megavoltage Photon Beams for Improved Lung Cancer Treatments
Zhang Y, Feng Y, Ahmad M, Ming X, Zhou L, Deng J. Intermediate Megavoltage Photon Beams for Improved Lung Cancer Treatments. PLOS ONE 2015, 10: e0145117. PMID: 26672752, PMCID: PMC4682946, DOI: 10.1371/journal.pone.0145117.Peer-Reviewed Original ResearchConceptsDosimetric benefitsPotential dosimetric benefitsTarget coverageComparable target coverageLung cancer patientsLung cancer treatmentBetter target coverageCurrent treatment approachesImproved tumor coverageNormal tissue dosesTumor dose coverageLung cancer radiotherapyAdjacent critical structuresCritical structuresLung doseCancer patientsLung cancerThin patientsLung volumeLung tumorsDose coverageTreatment approachesPatientsReduced dosesTumor coverageCardiac Exposure in the Dynamic Conformal Arc Therapy, Intensity-Modulated Radiotherapy and Volumetric Modulated Arc Therapy of Lung Cancer
Ming X, Feng Y, Liu H, Zhang Y, Zhou L, Deng J. Cardiac Exposure in the Dynamic Conformal Arc Therapy, Intensity-Modulated Radiotherapy and Volumetric Modulated Arc Therapy of Lung Cancer. PLOS ONE 2015, 10: e0144211. PMID: 26630566, PMCID: PMC4667972, DOI: 10.1371/journal.pone.0144211.Peer-Reviewed Original ResearchConceptsDynamic conformal arc therapyLung cancer patientsIntensity-modulated radiotherapyIrradiated heart volumeCardiac exposureHeart distanceConformal arc therapyCancer patientsHeart volumeArc therapyHeart doseCardiac diseaseLong-term cardiac toxicityMean heart doseMean heart dosesRight lung tumorLung cancer treatmentVolumetric Modulated Arc TherapyRadiotherapy treatment modalitiesInstitutional review boardLung cancer radiotherapyHeart dosesHeart sparingCardiac complicationsHodgkin's disease
2000
Energy- and intensity-modulated electron beams for radiotherapy
Ma C, Pawlicki T, Lee MC, Jiang SB, Li JS, Deng J, Yi B, Mok E, Boyer AL. Energy- and intensity-modulated electron beams for radiotherapy. Physics In Medicine And Biology 2000, 45: 2293-2311. PMID: 10958195, DOI: 10.1088/0031-9155/45/8/316.Peer-Reviewed Original ResearchConceptsModulated electron radiotherapyIntensity-modulated electron beamElectron beamMultileaf collimatorElectron beam energyInter-leaf leakageDose distributionElectron intraMonte Carlo dose calculationsPencil beam algorithmLeaf endsBeam energyPhoton beamsElectron radiotherapyOblique incidencePatient surfaceMonte Carlo methodBeamBeam algorithmField shapeMonte Carlo simulationsDose calculationsSuperficial targetsCarlo methodCarlo simulations