Radiosurgery for patients with brain metastases: A multiinstitutional analysis, stratified by the RTOG recursive partitioning analysis method

被引:200
|
作者
Sanghavi, SN
Miranpuri, SS
Chappell, R
Buatti, JM
Sneed, PK
Suh, JH
Regine, WF
Weltman, E
King, VJ
Goetsch, SJ
Breneman, JC
Sperduto, PW
Scot, C
Mabanta, S
Mehta, MP
机构
[1] Univ Wisconsin, Madison, WI 53792 USA
[2] Univ Florida, Gainesville, FL USA
[3] Univ Calif San Francisco, San Francisco, CA 94143 USA
[4] Cleveland Clin, Cleveland, OH 44106 USA
[5] Univ Kentucky, Lexington, KY USA
[6] Hosp Israelita Albert Einstein, Sao Paulo, Brazil
[7] Vet Med Ctr, Albany, NY USA
[8] San Diego Gamma Knife Ctr, San Diego, CA USA
[9] Univ Cincinnati, Cincinnati, OH USA
[10] Methodist Hosp, Minneapolis, MN USA
[11] RTOG, Philadelphia, PA USA
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2001年 / 51卷 / 02期
关键词
stereotactic radiosurgery; whole brain radiotherapy; brain metastases;
D O I
10.1016/S0360-3016(01)01622-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To estimate the potential improvement in survival for patients with brain metastases, stratified by the Radiation Therapy Oncology Group (RTOG) recursive partitioning analysis (RPA) class and treated with radiosurgery (RS) plus whole brain radiotherapy (WBRT). Methods and Materials: An analysis of the RS databases of 10 institutions identified patients with brain metastates treated with RS and WBRT. Patients were stratified into 1 of 3 RPA classes. Survival was evaluated using Kaplan-Meier estimates and proportional hazard regression analysis. A comparison of survival by class was carried out with the RTOG results in similar patients receiving WBRT alone. Results: Five hundred two patients were eligible (261 men and 241 women, median age 59 years, range 26-83). The overall median survival was 10.7 months. A higher Karnofsky performance status (p = 0.0001), a controlled primary (median survival = 11.6 vs. 8.8 months, p = 0.0023), absence of extracranial metastases (median survival 13.4 vs. 9.1 months, p = 0.0001), and lower RPA class (median survival 16.1 months for class I vs. 10.3 months for class II vs. 8.7 months for class III, p = 0.000007) predicted for improved survival. Gender, age, primary site, radiosurgery technique, and institution were not prognostic. The addition of RS boosted results in median survival (16.1, 10.3, and 8.7 months for classes I, II, and III, respectively) compared with the median survival (7.1, 4.2, and 2.3 months, p < 0.05) observed in the RTOG RPA analysis for patients treated with WBRT alone. Conclusion: In the absence of randomized data, these results suggest that RS may improve survival in patients with BM. The improvement in survival does not appear to be restricted by class for well-selected patients. (C) 2001 Elsevier Science Inc.
引用
收藏
页码:426 / 434
页数:9
相关论文
共 50 条
  • [31] A New Classification of Recursive Partitioning Analysis (RPA) Class II Patients with Radiosurgically Treated Brain Metastases
    Yamamoto, Masaaki
    Sato, Yasunori
    Serizawa, Toru
    Kawabe, Takuya
    Higuchi, Yoshinori
    Nagano, Osamu
    Barfod, Bierta E.
    JOURNAL OF NEUROSURGERY, 2011, 115 (02) : A448 - A448
  • [32] Influence of RPA (recursive partitioning analysis) classes of the RTOG and the biologically effective dose (BED) in full-brain radiotherapy of non-operated brain metastases
    Stadler, P.
    Dirscherl, J.
    Malaimare, L.
    Putnik, K.
    Schaefer, C.
    Koelbl, O.
    STRAHLENTHERAPIE UND ONKOLOGIE, 2006, 182 : 44 - 45
  • [33] Implant volume as a prognostic variable in brachytherapy decision-making for malignant gliomas stratified by the RTOG recursive partitioning analysis
    Videtic, GMM
    Gaspar, LE
    Zamorano, L
    Stitt, LW
    Fontanesi, J
    Levin, KJ
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2001, 51 (04): : 963 - 968
  • [34] Surgery for brain metastases: radiooncology scores predict survival-score index for radiosurgery, graded prognostic assessment, recursive partitioning analysis
    Wolfert, Christina
    Rohde, Veit
    Hussein, Abdelhalim
    Fiss, Ingo
    Hernandez-Duran, Silvia
    Malzahn, Doerthe
    Bleckmann, Annalen
    Mielke, Dorothee
    Schatlo, Bawarjan
    ACTA NEUROCHIRURGICA, 2023, 165 (01) : 231 - 238
  • [35] Surgery for brain metastases: radiooncology scores predict survival-score index for radiosurgery, graded prognostic assessment, recursive partitioning analysis
    Christina Wolfert
    Veit Rohde
    Abdelhalim Hussein
    Ingo Fiss
    Silvia Hernández-Durán
    Dörthe Malzahn
    Annalen Bleckmann
    Dorothee Mielke
    Bawarjan Schatlo
    Acta Neurochirurgica, 2023, 165 : 231 - 238
  • [36] An Analysis of 126 Patients Treated With Stereotactic Radiosurgery for Brain Metastases
    Harris, K. B.
    Corbett, M.
    Henry, M.
    Lee, K. S.
    Arastu, H. H.
    Leinweber, C.
    Ju, A. W.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2015, 93 (03): : E94 - E94
  • [37] Recursive partitioning analysis is predictive of overall survival for patients undergoing spine stereotactic radiosurgery
    Balagamwala, Ehsan H.
    Miller, Jacob A.
    Reddy, Chandana A.
    Angelov, Lilyana
    Suh, John H.
    Tariq, Muhammad B.
    Murphy, Erin S.
    Yang, Kailin
    Djemil, Toufik
    Magnelli, Anthony
    Mohammadi, Alireza M.
    Soeder, Sherry
    Chao, Samuel T.
    JOURNAL OF NEURO-ONCOLOGY, 2018, 137 (02) : 289 - 293
  • [38] Recursive Partitioning Analysis Is Predictive of Overall Survival for Patients Undergoing Spine Stereotactic Radiosurgery
    Balagamwala, Ehsan H.
    Miller, Jacob A.
    Reddy, Chandana A.
    Angelov, Lilyana
    Suh, John H.
    Tariq, Mohammad B.
    Murphy, Erin S.
    Yang, Kailin
    Djemil, Toufik
    Magnelli, Anthony
    Mohammadi, Alireza M.
    Soeder, Sherry
    Chao, Samuel T.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 98 (02): : E12 - E12
  • [39] Recursive partitioning analysis is predictive of overall survival for patients undergoing spine stereotactic radiosurgery
    Ehsan H. Balagamwala
    Jacob A. Miller
    Chandana A. Reddy
    Lilyana Angelov
    John H. Suh
    Muhammad B. Tariq
    Erin S. Murphy
    Kailin Yang
    Toufik Djemil
    Anthony Magnelli
    Alireza M. Mohammadi
    Sherry Soeder
    Samuel T. Chao
    Journal of Neuro-Oncology, 2018, 137 : 289 - 293
  • [40] Validation of the RTOG recursive partitioning analysis (RPA) classification for small cell lung cancer-only brain metastases: A single institution experience.
    Videtic, GM
    Adelstein, DJ
    Mekhail, T
    Rice, TW
    Stevens, GHJ
    Lee, SY
    Suh, JH
    JOURNAL OF CLINICAL ONCOLOGY, 2004, 22 (14) : 121S - 121S