Validation of the RTOG recursive partitioning analysis (RPA) classification for brain metastases
Validation of the RTOG recursive partitioning analysis (RPA) classification for brain metastases
复制标题
DOI:
10.1016/s0360-3016(00)00547-2
复制
发表时间:
2000-07-01
影响因子:
7
通讯作者:
Curran, W
中科院分区:
文献类型:
--
作者:
Gaspar, LE;Scott, C;Curran, W
Purpose: The Radiation Therapy Oncology Group (RTOG) previously developed three prognostic classes for brain metastases using recursive partitioning analysis (RPA) of a large database, These classes were based on Karnofsky performance status (KPS), primary tumor status, presence of extracranial system metastases, and age, An analysis of RTOG 91-04, a randomized study comparing two dose-fractionation schemes with a comparison to the established RTOG database, was considered important to validate the RPA classes.Methods and Materials: A total of 445 patients were randomized on RTOG 91-04, a Phase III study of accelerated hyperfractionation versus accelerated fractionation, No difference was observed between the two treatment arms with respect to survival. Four hundred thirty-two patients were included in this analysis. The majority of the patients were under age 65, had KPS 70-80, primary tumor controlled, and brain-only metastases. The initial RPA had three classes, but only patients in RPA Classes I and II were eligible for RTOG 91-04.Results: For RPA Class I, the median survival time was 6.2 months and 7.1 months for 91-04 and the database, respectively. The 1-year survival was 29% for 91-04 versus 32% for the database. There was no significant difference in the two survival distributions (p = 0.72). For RPA Class II, the median survival time was 3.8 months for 91-04 versus 4.2 months for the database. The 1-year survival was 12% and 16% for 91-04 and the database, respectively (p = 0.22).Conclusion: This analysis indicates that the RPA classes are valid and reliable for historical comparisons, Both the RTOG and other clinical trial organizers should currently utilize this RPA classification as a stratification factor for clinical trials. (C) 2000 Elsevier Science Inc.