2021
Comparison of radiomic feature aggregation methods for patients with multiple tumors
Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Scientific Reports 2021, 11: 9758. PMID: 33963236, PMCID: PMC8105371, DOI: 10.1038/s41598-021-89114-6.Peer-Reviewed Original ResearchConceptsCox proportional hazards modelCox proportional hazardsProportional hazards modelBrain metastasesRadiomic featuresHazards modelProportional hazardsStandard Cox proportional hazards modelMultifocal brain metastasesMultiple brain metastasesNumber of patientsPatient-level outcomesHigher concordance indexRadiomic feature analysisRandom survival forest modelSurvival modelsDifferent tumor volumesMultifocal tumorsCancer outcomesMultiple tumorsMetastatic cancerConcordance indexTumor volumePatientsTumor types
2016
Demonstration of differential radiosensitivity based upon mutation profile in metastatic melanoma treated with stereotactic radiosurgery.
Rutter CE, Johung KL, Yao X, Lu AY, Jilaveanu LB, Yu JB, Contessa JN, Kluger HM, Chiang VLS, Bindra RS. Demonstration of differential radiosensitivity based upon mutation profile in metastatic melanoma treated with stereotactic radiosurgery. Journal Of Radiosurgery And SBRT 2016, 4: 97-106. PMID: 29296434, PMCID: PMC5658871.Peer-Reviewed Original ResearchWild-type patientsC-kit mutationsLocal recurrenceMetastatic melanomaBrain metastasesType patientsN-RASCox proportional hazards modelMelanoma brain metastasesImproved local controlLocal recurrence rateProportional hazards modelN-RAS mutationsB-RafDifferential radiosensitivityDistant failureRecurrence rateImportant treatmentStereotactic radiosurgeryHazards modelPatientsLocal controlMultivariate analysisStandardized imagingRecurrence