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
2014
Clinical course and progression-free survival of adult intracranial and spinal ependymoma patients
Vera-Bolanos E, Aldape K, Yuan Y, Wu J, Wani K, Necesito-Reyes MJ, Colman H, Dhall G, Lieberman FS, Metellus P, Mikkelsen T, Omuro A, Partap S, Prados M, Robins HI, Soffietti R, Wu J, Gilbert MR, Armstrong TS. Clinical course and progression-free survival of adult intracranial and spinal ependymoma patients. Neuro-Oncology 2014, 17: 440-447. PMID: 25121770, PMCID: PMC4483095, DOI: 10.1093/neuonc/nou162.Peer-Reviewed Original ResearchConceptsProgression-free survivalClinical courseEpendymoma patientsMultivariate Cox proportional hazards modelMultivariate Cox proportional hazardsCox proportional hazards modelRare CNS tumorsTime of diagnosisPrognostic clinical factorsCox proportional hazardsProportional hazards modelSubtotal resectionClinical factorsMedian timeCNS tumorsCentral reviewGrade IIIMean ageTumor recurrenceEarly progressionTumor locationGrade IITumor gradeUnivariate analysisSupratentorial location