Patients with brain metastases: hope for recursive partitioning analysis (RPA) class 3

被引:53
作者
Lutterbach, J [1 ]
Bartelt, S [1 ]
Stancu, E [1 ]
Guttenberger, R [1 ]
机构
[1] Univ Freiburg, Radiol Klin, Abt Strahlenheilkunde, D-79106 Freiburg, Germany
关键词
brain metastasis; whole brain radiation therapy; recursive partitioning analysis; prognosis; multivariate analysis;
D O I
10.1016/S0167-8140(02)00119-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: The objectives of the present study were (a) to validate the prognostic classification derived from recursive partitioning analysis (RPA) of the Radiation Therapy Oncology Group (RTOG); (b) to identify prognostic factors in class 3; (c) to examine the impact of treatment related variables on the prognosis in class 3. Patients and methods: Nine hundred and sixteen patients with brain metastases had resection and whole brain radiotherapy (WBRT, n = 257) or WBRT alone (n = 659) at our institution from 1985 to 2000. Patients were grouped into RPA classes 1, 2, and 3 (n = 67, 441, and 408, respectively). Results: Median survival of the whole group was 3.4 months. Median survival in classes 1, 2, and 3 was 8.2, 4.9, and 1.8 months, respectively. In class 3, age (<65 years vs. ≥65 years, relative risk (RR) 0.75), status of the primary tumor (controlled vs. uncontrolled, RR 0.86), and the number of brain metastases (single vs. multiple, RR 0.76) were independent prognostic variables. We defined three prognostic subgroups: class 3a (n = 51): age <65 years, controlled primary tumor, single brain metastasis; class 3c (n = 44): age greater than or equal to65 years, uncontrolled primary tumor, multiple brain metastases; class 3b (n = 313): all other patients. Median survival in classes 3a, 3b, and 3c was 3.2, 1.9, and 1.2 months, respectively (P < 0.0001). Intra-class comparisons showed that resection followed by WBRT yielded significantly better survival compared with WBRT alone. Conclusion: Our results validate the RTOG RPA classification for patients with brain metastases. The variables age, status of the primary, and number of brain metastases allow the division of class 3 into prognostic subgroups. Even class 3 patients may benefit from more aggressive treatment strategies. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码:339 / 345
页数:7
相关论文
共 15 条
[1]   Prognostic factors derived from recursive partition analysis (RPA) of radiation therapy oncology group (RTOG) brain metastases trials applied to surgically resected and irradiated brain metastatic cases [J].
Agboola, O ;
Benoit, B ;
Cross, P ;
Da Silva, V ;
Esche, B ;
Lesiuk, H ;
Gonsalves, C .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1998, 42 (01) :155-159
[2]   Application of recursive partitioning analysis and evaluation of the use of whole brain radiation among patients treated with stereotactic radiosurgery for newly diagnosed brain metastases [J].
Chidel, MA ;
Suh, JH ;
Reddy, CA ;
Chao, ST ;
Lundbeck, MF ;
Barnett, GH .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2000, 47 (04) :993-999
[3]  
COX DR, 1972, J R STAT SOC B, V34, P187
[4]   Recursive partitioning analysis (RPA) of prognostic factors in three radiation therapy oncology group (RTOG) brain metastases trials [J].
Gaspar, L ;
Scott, C ;
Rotman, M ;
Asbell, S ;
Phillips, T ;
Wasserman, T ;
McKenna, WG ;
Byhardt, R .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1997, 37 (04) :745-751
[5]   Validation of the RTOG recursive partitioning analysis (RPA) classification for brain metastases [J].
Gaspar, LE ;
Scott, C ;
Murray, K ;
Curran, W .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2000, 47 (04) :1001-1006
[6]   NONPARAMETRIC-ESTIMATION FROM INCOMPLETE OBSERVATIONS [J].
KAPLAN, EL ;
MEIER, P .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1958, 53 (282) :457-481
[7]  
MANTEL N, 1959, J NATL CANCER I, V22, P719
[8]  
Mintz AH, 1996, CANCER, V78, P1470, DOI 10.1002/(SICI)1097-0142(19961001)78:7<1470::AID-CNCR14>3.0.CO
[9]  
2-X
[10]   Prognostic factors in brain metastases: Should patients be selected for aggressive treatment according to recursive partitioning analysis (RPA) classes? [J].
Nieder, C ;
Nestle, U ;
Motaref, B ;
Walter, K ;
Niewald, M ;
Schnabel, K .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2000, 46 (02) :297-302