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
2019
Initial SRS for Patients With 5 to 15 Brain Metastases: Results of a Multi-Institutional Experience
Hughes RT, Masters AH, McTyre ER, Farris MK, Chung C, Page BR, Kleinberg LR, Hepel J, Contessa JN, Chiang V, Ruiz J, Watabe K, Su J, Fiveash JB, Braunstein S, Chao S, Attia A, Ayala-Peacock DN, Chan MD. Initial SRS for Patients With 5 to 15 Brain Metastases: Results of a Multi-Institutional Experience. International Journal Of Radiation Oncology • Biology • Physics 2019, 104: 1091-1098. PMID: 30959122, DOI: 10.1016/j.ijrobp.2019.03.052.Peer-Reviewed Original ResearchConceptsDistant brain failureInitial stereotactic radiosurgerySalvage whole brain radiation therapyWhole-brain radiation therapySalvage stereotactic radiosurgeryBrain metastasesBrain radiation therapyOverall survivalStereotactic radiosurgeryBM groupCumulative incidenceRadiation therapyNumber of BMTwo-year cumulative incidenceMultivariable Cox proportional hazardsBrain metastasis velocityMedian overall survivalOutcomes of patientsKaplan-Meier methodLog-rank testMulti-institutional experienceRisk regression modelingCox proportional hazardsMultivariable analysisNew metastases
2015
Extended Survival and Prognostic Factors for Patients With ALK-Rearranged Non–Small-Cell Lung Cancer and Brain Metastasis
Johung KL, Yeh N, Desai NB, Williams TM, Lautenschlaeger T, Arvold ND, Ning MS, Attia A, Lovly CM, Goldberg S, Beal K, Yu JB, Kavanagh BD, Chiang VL, Camidge DR, Contessa JN. Extended Survival and Prognostic Factors for Patients With ALK-Rearranged Non–Small-Cell Lung Cancer and Brain Metastasis. Journal Of Clinical Oncology 2015, 34: 123-129. PMID: 26438117, PMCID: PMC5070549, DOI: 10.1200/jco.2015.62.0138.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnaplastic Lymphoma KinaseAntineoplastic AgentsBrain NeoplasmsCarbazolesCarcinoma, Non-Small-Cell LungCranial IrradiationCrizotinibDisease-Free SurvivalFemaleFollow-Up StudiesGene RearrangementHumansKaplan-Meier EstimateKarnofsky Performance StatusLung NeoplasmsMaleMiddle AgedMolecular Targeted TherapyNeoplasm StagingPiperidinesPrognosisProtein Kinase InhibitorsProtein-Tyrosine KinasesPyrazolesPyridinesPyrimidinesRadiosurgeryReceptor Protein-Tyrosine KinasesRisk AssessmentRisk FactorsSmokingSulfonesConceptsIntracranial progression-free survivalBrain metastasesProgression-free survivalPrognostic factorsLung cancerMedian intracranial progression-free survivalNon-small cell lung cancerTyrosine kinase inhibitor therapyProgressive brain metastasesRefinement of prognosisKarnofsky performance scorePercent of patientsClinical prognostic factorsPopulation of patientsSingle brain metastasisCell lung cancerKinase inhibitor therapyCox proportional hazardsMulti-institutional studyMedian OSExtracranial metastasesImproved survivalInhibitor therapyInitial treatmentMultivariable analysis