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Recursive partitioning analysis (RPA) of prognostic factors in three radiation therapy oncology group (RTOG) brain metastases trials
International Journal of Radiation Oncology*Biology*Physics · 1997 · Vol. 37(4) · pp. 745–751
Laurie E. Gaspar✉(Wayne State University)Charles Scott(RTOG Foundation)Marvin Rotman(SUNY Downstate Health Sciences University)Sucha O. Asbell(Temple University)Theodore L. Phillips(UCLA Health)Todd H. Wasserman(University of Washington)W. Gillies McKenna(Hospital of the University of Pennsylvania)Roger W. Byhardt(Milwaukee VA Medical Center)
Abstract
Based on this analysis, we suggest the following three classes: Class 1: patients with KPS > or = 70, < 65 years of age with controlled primary and no extracranial metastases; Class 3: KPS < 70; Class 2- all others. Using these classes or stages, new treatment techniques can be tested on homogeneous patient groups.
Brain Metastases and TreatmentLung Cancer Research StudiesLung Cancer Treatments and MutationsRecursive partitioningMedicineRadiosurgeryRadiation therapyHomogeneousOncologyInternal medicineStatistical significancePrognostic variableKarnofsky Performance Status
MeSH terms
AdultAge FactorsAgedBrain NeoplasmsDecision TreesHumansMiddle AgedNervous System DiseasesPrognosisRadiotherapy DosageRetrospective StudiesSurvival AnalysisRandomized Controlled Trials as TopicClinical Trials, Phase I as TopicClinical Trials, Phase II as Topic
Citations
2,550
FWCI
11.46
field-weighted impact
References
27
Percentile
99%
vs. same field & year
Citations per year
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References
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Recursive partitioning analysis (RPA) of prognostic factors in three radiation therapy oncology group (RTOG) brain metastases trials
International Journal of Radiation Oncology*Biology*Physics · 1997 · 2,550 citations
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