2022
Impact of radiotherapy delay following biopsy for patients with unresected glioblastoma.
Gao S, Jin L, Moliterno J, Corbin ZA, Bindra RS, Contessa JN, Yu JB, Park HS. Impact of radiotherapy delay following biopsy for patients with unresected glioblastoma. Journal Of Neurosurgery 2022, 138: 610-620. PMID: 35907197, DOI: 10.3171/2022.5.jns212761.Peer-Reviewed Original ResearchConceptsWeeks of biopsyOverall survivalCox proportional hazards regression modelingProportional hazards regression modelingNational Cancer DatabaseInitiation of radiotherapyKaplan-Meier methodWorse overall survivalWilcoxon rank sum testEffects of confoundersRank sum testUnresected diseaseAdjuvant radiotherapyConcurrent chemotherapyMedian intervalMultivariable analysisRadiotherapy delayCancer DatabaseClinical dataBiopsyPatientsLate initiationAggressive natureRadiotherapyPotential association
2020
Defining oligometastatic disease from a radiation oncology perspective: An ESTRO-ASTRO consensus document
Lievens Y, Guckenberger M, Gomez D, Hoyer M, Iyengar P, Kindts I, Méndez Romero A, Nevens D, Palma D, Park C, Ricardi U, Scorsetti M, Yu J, Woodward W. Defining oligometastatic disease from a radiation oncology perspective: An ESTRO-ASTRO consensus document. Radiotherapy And Oncology 2020, 148: 157-166. PMID: 32388150, DOI: 10.1016/j.radonc.2020.04.003.Peer-Reviewed Original ResearchConceptsMetastasis-directed radiotherapyDefinition of oligometastatic diseaseOligometastatic diseaseMetastatic sitesAbsence of clinical dataMetachronous oligometastatic diseaseRadiation oncology perspectiveDisease-free intervalSingle-centre seriesContext of radiotherapyPatient inclusion criteriaProgression-freeMetastatic locationsCurative intentMetastatic lesionsOverall survivalPrimary tumorSystemic therapyOncological perspectiveQuality-of-lifeClinical dataRadiotherapyLocal controlConsensus documentInclusion criteria
2017
Deep Neural Network to Predict Local Failure Following Stereotactic Body Radiation Therapy: Integrating Imaging and Clinical Data to Predict Outcomes
Aneja S, Shaham U, Kumar R, Pirakitikulr N, Nath S, Yu J, Carlson D, Decker R. Deep Neural Network to Predict Local Failure Following Stereotactic Body Radiation Therapy: Integrating Imaging and Clinical Data to Predict Outcomes. International Journal Of Radiation Oncology • Biology • Physics 2017, 99: s47. DOI: 10.1016/j.ijrobp.2017.06.120.Peer-Reviewed Original Research
2016
Genomic predictors of biochemical failure following radical prostatectomy.
Aneja S, Yu J, Glazer P. Genomic predictors of biochemical failure following radical prostatectomy. Journal Of Clinical Oncology 2016, 34: 114-114. DOI: 10.1200/jco.2016.34.2_suppl.114.Peer-Reviewed Original ResearchPathologic T stageGleason 7 diseaseBiochemical failureRadical prostatectomyT stageProstate adenocarcinomaClinical dataPredictors of BFAggressive regional therapyClinical patient characteristicsPre-treatment PSARNA expressionStratification of patientsHierarchical logistic regression modelsLogistic regression modelsMedian followAggressive therapyPatient characteristicsCancer Genome AtlasExpression of TP53Gleason 7Median ageRegional therapyGleason scoreClinical correlates