- Research article
- Open Access
Gamma knife radiosurgery for elderly patients with brain metastases: evaluation of scoring systems that predict survival
BMC Cancer volume 15, Article number: 54 (2015)
Gamma knife radiosurgery (GKRS) has been increasingly employed for the treatment of elderly patients with brain metastases, mainly due to its demonstrated effectiveness and low complication rate. However, only a few studies have investigated the prognostic factors that influence the survival of elderly patients after GKRS. The purpose of this study was to identify a scoring system that is able to predict the survival of elderly patients undergoing GKRS using data obtained at the time of diagnosis for brain metastases.
Between 2004 and 2011, death was confirmed in 147 patients aged 70 years and older who had been treated with GKRS for brain metastases. Median age at the time of GKRS was 75.7 years (range, 70–86 years). The median tumor volume was 5.1 cm3 (range, 0.05–59.9 cm3). The median marginal prescription dose was 21.4 Gy (range, 14–25 Gy).
The median survival was 167 days. Overall survival rates at 6 months and 1 year were 60.4% and 29.4%, respectively. Among the patient characteristics pertaining to systemic cancer and brain metastasis for which data were obtained preoperatively, a multivariate analysis showed that low Karnofsky performance status (KPS ≤ 80, P = 0.047) and the presence of extracranial metastases (P = 0.014) detected at the time of brain metastasis diagnosis were independent prognostic factors for short survival. A high score index for radiosurgery (SIR score ≥ 4, P = 0.024) and a high graded prognostic assessment (GPA score ≥ 2, P = 0.004) were associated with longer survival. A multivariate analysis of the important characteristics of systemic cancer, and the scoring system evaluating survival duration showed that a low GPA score was the most powerful independent factor for predicting short survival (hazard ratio 1.756, 95% confidence interval 1.252–2.456, P = 0.001).
GKRS is a safe approach to treat brain metastases in patients age 70 years and older. In this group, our study identified GPA score at the time of GKRS as a powerful prognostic factor for survival.
Metastatic brain cancer is almost ten times more common than a primary malignant brain tumor and 20-40% of cancer patients will be diagnosed with a metastatic brain tumor . If these patients are left untreated, the median survival time is 1–2 months , with a 1-year survival rate of 10.4% .
The incidence of cancer increases with age. In 2000, 12.6–18.1% of the population in developed countries was over 65 years of age . In South Korea, the crude incidence rate of cancer development in this age group is 1,606 cases per 100,000 individuals . However, with advances in imaging and chemotherapy, the detection and treatment of cancer, and thus the life expectancy of elderly cancer patients has improved. Among those with brain metastases, conventional treatment methods currently include surgical resection, whole-brain radiotherapy (WBRT), stereotactic radiosurgery (SRS), or a combination thereof . However, selection of the most suitable therapy is difficult and must consider factors such as patient’s age, neurologic performance, systemic disease status, and the size, volume, location, and number of metastases at presentation . Advanced age is a poor prognostic factor for survival in patients with brain metastases , and the choice of treatment is complicated by the fact that elderly patients often have multiple, concurrent diseases that can restrict their physiological reserve and physical functioning.
Although WBRT has been generally accepted as a standard treatment for several decades, accumulated evidence suggests its association with a higher risk of neurocognitive deterioration in elderly patients with brain metastases [8,9]. Thus, as an alternative approach, gamma knife radiosurgery (GKRS) has gained increasing favor as the primary treatment modality . The purpose of this study was to identify a scoring system able to predict survival outcome in patients age 70 years and older who underwent GKRS for brain metastases. The predictive power of four different scoring systems was evaluated: graded prognostic assessment (GPA), recursive portioning analysis (RPA), the score index for radiosurgery (SIR), and the basic score for brain metastases (BSBM) [11-15].
The study was conducted in compliance with the Declaration of Helsinki (sixth revision, 2008), and fulfilled all of the requirements for patient anonymity. This study was approved by the Institutional Review Board of the Chonnam National University Hwasun Hospital (CNUHH-2014-31). A database of patients with brain tumors treated at our institution was used to identify the 1174 patients with brain metastasis who underwent GKRS between May 2004 and December 2013. From this group, the 320 patients older than 70 years of age were selected and their data were reviewed. Patients previously treated with WBRT were excluded from this study. Among the included patients, there were 147 confirmed deaths. These patients were the focus of this study.
The clinical and radiological data of the patients at the time of diagnosis of brain metastasis were collected. Clinical data included age, sex, presenting symptoms, time interval between the diagnosis of primary cancer and brain metastasis, Karnofsky performance status (KPS), and survival time. Radiological data included the presence of extracranial metastasis, the status of the primary cancer, the number and location of brain lesions, the size or volume of the largest brain lesion, and concomitant intratumoral hemorrhagic changes. Based on both sets of data, RPA, GPA, SIR, and BSBM scores were calculated. The RPA classification assigns patients with brain metastases to one of three classes that predict survival : Class I patients are those with a KPS ≥ 70 at an age < 65 years with controlled primary disease and no evidence of extracranial metastases. Class III patients have a KPS < 70. Class II patients are those who do not fit into classes I or III. The GPA classification considers age, KPS, the presence of extracranial metastases, and the number of brain metastases . The SIR uses a system of seven grades to determine prognosis based on age, KPS, primary cancer status, number of brain metastases, and volume of the largest brain metastasis . The parameters of the BSBM classification are the KPS, primary cancer status, and the presence of extracranial metastases . The features of the scoring systems used in this study are summarized in Table 1.
GKRS protocol for brain metastasis
GKRS, performed using the Leksell Gamma Knife (model C or Perfexion, Elekta AB, Stockholm, Sweden), was used to treat 455 lesions in the 147 patients included in this study. The median maximal dose was 37 Gy (range, 18–62.5 Gy), with a median marginal tumor dose of 21 Gy (range, 14–25 Gy) at the 40–85% isodose line.
Overall survival (OS) was defined as the time between the dates of brain metastasis diagnosis until death. The probability of OS was analyzed according to the Kaplan-Meier method, and the resulting values were compared using log-rank tests. Factors considered to be predictive of OS were analyzed using a multivariate logistic regression model. All of the statistical analyses were performed using SPSS version 20.0 for Windows (SPSS, Chicago, IL, USA); P < 0.05 considered statistically significant.
The clinicoradiological characteristics of the enrolled patients are summarized in Table 2. The most common presenting symptoms were motor/sensory deficits, headache, and dizziness. Major neurological symptoms, such as sensory/motor deficit, deterioration of mental status, gait disturbance, or swallowing difficulty, were detected in 53 patients (36.1%). The primary cancer site was the lung (n = 111, non-small-cell lung cancer in 93 patients and small-cell lung cancer in 18 patients). The median time between the diagnosis of primary cancer and that of brain metastasis was 11.4 months (range, 0–106 months). Brain metastases were synchronously (within 3 months after the diagnosis of the primary cancer) detected in 65 patients (44.2%).
The enrolled patients were grouped using the four scoring or classification systems evaluated in this study (RPA, SIR, GPA, BSBM). Within the RPA classification, 126 patients (85.7%) were assigned to class II, and the remaining 21 patients were assigned to class III. In the SIR system, 93 patients (63.3%) had a score of 3–5, 22 patients (15.0%) had a score of 1 or 2, and 32 patients (21.8%) had a score > 6. These patients were subsequently classified into low (score 1–3, n = 42) and high (score ≥ 4, n = 105) SIR groups. In the GPA scoring system, 18 patients (12.2%) had a score < 1, 59 (40.1%) had a score between 1 and 2, and the remaining 70 (47.6%) had a score ≥ 2. These patients were thus classified into low (score < 2, n = 77) and high (score ≥ 2, n = 70) GPA groups. In the BSBM scoring system, the majority of the patients had a score of 2 (49.7%) or 1 (35.6%); the remaining patients had a score of 0 (4.1%) or 3 (10.9%). These patients were classified into low (score 0–1, n = 58) and high (score 2–3, n = 89) BSBM groups.
Overall survival and prognostic factors
The median OS of the 147 patients who eventually died after GKRS was 167 days (95% confidence interval [CI]: 108.4–225.6 days, Figure 1). The OS rates at 6 months and 1 year were 60.4% and 29.4%, respectively. The cause of death in 120 patients was progressive systemic cancer or related complications (e.g., acute respiratory failure, hepatic failure); 18 patients died as a consequence of brain metastases; and 5 patients died from factors not associated with systemic cancer or brain metastasis, including suicide and myocardial or cerebral infarction. In the remaining four patients the cause of death was not specified.
The results of statistical analyses of several characteristics of systemic cancer and brain metastasis possibly associated with survival time are summarized in Table 3. KPS (Figure 2, left), primary cancer type, and extracranial metastasis (Figure 2, right) showed statistical significance in univariate analysis. Of these, KPS and extracranial metastasis were also statistically significant in the multivariate analysis. In addition, a definitive relationship between survival duration after GKRS and the SIR and GPA scores at the time of diagnosis for brain metastasis was determined (Table 3 and Figure 3). Patients with a high SIR score (≥4) had a significantly longer survival time than patients with a low SIR score, as shown in univariate analysis (209 ± 24.7 days vs. 130 ± 7.0 days, P = 0.024; Figure 3, lower). In fact, the duration of survival increased with an increasing SIR score (median survival time of 65, 129, 152, 171, 174, 210, and 373 days for scores of 1–7, respectively, P = 0.004). Within the GPA scoring system, patients with a high GPA score (≥2) survived longer than those with a low GPA score (213 ± 22.0 days vs. 128 ± 14.9 days, P = 0.001; Figure 3, upper), and GPA score correlated positively with survival duration (median survival time of 65, 129, 171, 107, 234, 143, 167 for a score of 0, 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0, respectively, P = 0.002).
Multivariate analysis of the important characteristics of systemic cancer with respect to the four scoring systems assessing survival duration identified low GPA score as the most powerful independent factor of short survival (hazard ratio 1.756, 95% CI 1.252–2.456, P = 0.001, Table 4).
Prognostic factors favoring longer survival after sequential systemic chemotherapy
Considering the morbidity and side effects associated with chemotherapy in elderly patients, and especially those with terminal cancer, in this study it was important to identify the prognostic factors favoring longer survival after sequential systemic chemotherapy following GKRS. However, among the patients analyzed in this work, sequential chemotherapy for systemic cancer after GKRS did not confer a survival benefit (212 ± 26.5 days vs. 143 ± 18.7 days in non-treated patients, P = 0.257) regardless of the prognostic variable or scoring system used in the analysis (data not shown).
A cross-national comparison performed in 2000 showed that the proportion of individuals age ≥ 65 years was 12.6 to 18.1% , with the proportion predicted to reach 20–28% by 2030 . Along with the growing size of the older population, the incidence of brain metastasis in elderly patients diagnosed with cancer has been rising for several reasons, including the longer survival of patients with a previously diagnosed localized cancer, and the improved detection of metastatic tumors by more sensitive imaging techniques. Nonetheless, in the majority of patients with malignant primary or metastatic brain tumors, age is an important prognostic factor [15,17].
For several decades, WBRT was the treatment of choice for metastatic brain tumors . However, its use in elderly patients was hindered by impaired postoperative functional or cognitive status  and poor social services support [19,20] of treated patients. Moreover, although the prophylactic role of WBRT in some cancers has been demonstrated , prolonged treatment duration with multiple fractions may not be possible in elderly patients. In a comparison of SRS and WBRT, patients receiving SRS had better OS rates . The preferred use of SRS is that it achieves repeated control of the target lesion without risk of detrimental neurocognitive effects after the therapy [8,23]. Because of its few side effects, GKRS is an excellent treatment option for patients with metastatic brain tumors, including elderly patients. Other advantages of GKRS are that it is minimally invasive, substantially reduces hospitalization time, is relatively inexpensive, and is associated with minimal pain and post-treatment complications .
Well-known prognostic scoring systems used to assess patients treated with GKRS for brain metastases are RPA, SIR, BSBM, and GPA, which were created from databases containing 65–1200 patients with brain metastases from a variety of primary tumors [12-15]. GPA was developed to address the limitations of the three other scoring systems; specifically, RPA and BSBM do not consider the number of metastases; RPA, BSBM, and SIR require estimation of the degree of control of the systemic disease, including a primary malignancy, which leads to inconsistencies due to variation in the type and timing of imaging tests. The SIR takes into account treatment factors, such as the volume of the largest lesion at the time of radiosurgery, to predict outcome before treatment decisions are made [25-27]. In the GPA, components of the other scoring systems that are difficult to quantify, such as the control of extracranial disease, were removed as part of the general removal of treatment-related factors such that treatment choice rather than treatment result was reflected [26,27]. The GPA system considers different combinations of diagnosis-specific prognostic factors, and thus better predicts the outcome that can be expected in elderly patients treated with various therapeutic options . The KPS is included in several meaningful scoring systems; in other studies targeting elderly patients, it was shown to be the strongest predictor of prognosis .
To identify prognostic factors specific for elderly patients, it is necessary to examine their clinically based prognostic scores and then compare those values with other prognostic scores. Minniti et al.  reported that patients with a KPS > 70 and stable extracranial disease had significantly longer survival. Kim et al.  found that survival was significantly influenced by the number of brain metastases at the time of SRS, and the primary lung tumor type of the patients. However, while these studies identified KPS, extracranial disease, and the number of brain metastases as significant factors for survival, they did not specify which scoring system most accurately predicted survival in elderly patients with brain metastasis treated with GKRS. A recent report suggested the use of the modified RPA to select favorable candidates for GKRS, even among patients age 80 years and older . In our study, KPS ≥ 90 and no extracranial metastasis at the time of brain-metastasis diagnosis were the most important factors predicting survival. Although in the multivariate analysis both the GPA score and the SIR were statistically significant in predicting survival, the GPA score may be the more powerful independent prognostic factor because it takes into account both the KPS and the presence of extracranial metastasis. Many oncologists and neurosurgeons may hesitate to recommend aggressive treatment for brain metastasis in elderly cancer patients. The results of this and previous studies support the use of GKRS in patients age 70 years and older and even in those 80 years and older. However, although chemotherapy for primary cancer increased the survival of elderly patients according to some studies , in our series there were no significant differences between GKRS and GKRS followed by chemotherapy.
This study was based on a retrospective investigation; thus, selection bias due to missed cases was a possibility. Additionally, there was no information on the quality of life or the control of treated lesions in patients who underwent GKRS. Nevertheless, our results identified extracranial metastases and KPS as independent prognostic factors for survival in elderly patients with brain metastasis treated with GKRS. Among the scoring systems analyzed in this study, the GPA was the most powerful and most specific prognostic scoring system. These are important considerations that influence treatment choice and patient outcome and should be taken into account in therapeutic decision-making.
Basic score for brain metastases
Gamma knife radiosurgery
Graded prognostic assessment
Karnofsky performance status
Recursive portioning analysis
Score index for radiosurgery
Lu-Emerson C, Eichler AF. Brain metastases. Continuum (Minneap Minn). 2012;18(2):295–311.
Nieder C, Nestle U, Walter K, Niewald M, Schnabel K. Dose–response relationships for radiotherapy of brain metastases: role of intermediate-dose stereotactic radiosurgery plus whole-brain radiotherapy. Am J Clin Oncol. 2000;23(6):584–8.
Shimamoto S, Inoue T, Shiomi H, Sumida I, Yamada Y, Tanaka E, et al. CyberKnife stereotactic irradiation for metastatic brain tumors. Radiat Med. 2002;20(6):299–304.
Yancik R, Ries LA. Cancer in older persons: an international issue in an aging world. Semin Oncol. 2004;31(2):128–36.
The Crude Incidence Rate of Cancer Development According to Age Groups. [http://www.cancer.go.kr/mbs/cancer/subview.jsp?id=cancer_040103000000]
Rades D, Kueter JD, Veninga T, Gliemroth J, Schild SE. Whole brain radiotherapy plus stereotactic radiosurgery (WBRT + SRS) versus surgery plus whole brain radiotherapy (OP + WBRT) for 1–3 brain metastases: results of a matched pair analysis. Eur J Cancer. 2009;45(3):400–4.
Minniti G, Esposito V, Clarke E, Scaringi C, Bozzao A, Lanzetta G, et al. Stereotactic radiosurgery in elderly patients with brain metastases. J Neurooncol. 2013;111(3):319–25.
DeAngelis LM, Delattre JY, Posner JB. Radiation-induced dementia in patients cured of brain metastases. Neurology. 1989;39(6):789–96.
Aoyama H, Tago M, Kato N, Toyoda T, Kenjyo M, Hirota S, et al. Neurocognitive function of patients with brain metastasis who received either whole brain radiotherapy plus stereotactic radiosurgery or radiosurgery alone. Int J Radiat Oncol Biol Phys. 2007;68(5):1388–95.
Pan HC, Sheehan J, Stroila M, Steiner M, Steiner L. Gamma knife surgery for brain metastases from lung cancer. J Neurosurg. 2005;102(Suppl):128–33.
Nieder C, Bremnes RM, Andratschke NH. Prognostic scores in patients with brain metastases from non-small cell lung cancer. J Thorac Oncol. 2009;4(11):1337–41.
Weltman E, Salvajoli JV, Brandt RA, de Morais HR, Prisco FE, Cruz JC, et al. Radiosurgery for brain metastases: a score index for predicting prognosis. Int J Radiat Oncol Biol Phys. 2000;46(5):1155–61.
Sperduto PW, Berkey B, Gaspar LE, Mehta M, Curran W. A new prognostic index and comparison to three other indices for patients with brain metastases: an analysis of 1,960 patients in the RTOG database. Int J Radiat Oncol Biol Phys. 2008;70(2):510–4.
Lorenzoni J, Devriendt D, Massager N, David P, Ruiz S, Vanderlinden B, et al. Radiosurgery for treatment of brain metastases: estimation of patient eligibility using three stratification systems. Int J Radiat Oncol Biol Phys. 2004;60(1):218–24.
Gaspar L, Scott C, Rotman M, Asbell S, Phillips T, Wasserman T, et al. Recursive partitioning analysis (RPA) of prognostic factors in three Radiation Therapy Oncology Group (RTOG) brain metastases trials. Int J Radiat Oncol Biol Phys. 1997;37(4):745–51.
Erikson C, Salsberg E, Forte G, Bruinooge S, Goldstein M. Future supply and demand for oncologists: challenges to assuring access to oncology services. J Oncol Pract. 2007;3(2):79–86.
Lagerwaard FJ, Levendag PC, Nowak PJ, Eijkenboom WM, Hanssens PE, Schmitz PI. Identification of prognostic factors in patients with brain metastases: a review of 1292 patients. Int J Radiat Oncol Biol Phys. 1999;43(4):795–803.
Patchell RA. The management of brain metastases. Cancer Treat Rev. 2003;29(6):533–40.
Goodwin JS, Hunt WC, Samet JM. A population-based study of functional status and social support networks of elderly patients newly diagnosed with cancer. Arch Intern Med. 1991;151(2):366–70.
Goodwin JS, Hunt WC, Samet JM. Determinants of cancer therapy in elderly patients. Cancer. 1993;72(2):594–601.
Arriagada R. Re: Prophylactic cranial irradiation for patients with small-cell lung cancer. J Natl Cancer Inst. 1995;87(10):766. author reply 767.
Aoyama H, Shirato H, Tago M, Nakagawa K, Toyoda T, Hatano K, et al. Stereotactic radiosurgery plus whole-brain radiation therapy vs stereotactic radiosurgery alone for treatment of brain metastases: a randomized controlled trial. JAMA. 2006;295(21):2483–91.
Crossen JR, Garwood D, Glatstein E, Neuwelt EA. Neurobehavioral sequelae of cranial irradiation in adults: a review of radiation-induced encephalopathy. J Clin Oncol. 1994;12(3):627–42.
Mehta M, Noyes W, Craig B, Lamond J, Auchter R, French M, et al. A cost-effectiveness and cost-utility analysis of radiosurgery vs. resection for single-brain metastases. Int J Radiat Oncol Biol Phys. 1997;39(2):445–54.
Cairncross JG, Kim JH, Posner JB. Radiation therapy for brain metastases. Ann Neurol. 1980;7(6):529–41.
Weissman DE. Glucocorticoid treatment for brain metastases and epidural spinal cord compression: a review. J Clin Oncol. 1988;6(3):543–51.
Patchell RA, Tibbs PA, Walsh JW, Dempsey RJ, Maruyama Y, Kryscio RJ, et al. A randomized trial of surgery in the treatment of single metastases to the brain. N Engl J Med. 1990;322(8):494–500.
Sperduto PW, Chao ST, Sneed PK, Luo X, Suh J, Roberge D, et al. Diagnosis-specific prognostic factors, indexes, and treatment outcomes for patients with newly diagnosed brain metastases: a multi-institutional analysis of 4,259 patients. Int J Radiat Oncol Biol Phys. 2010;77(3):655–61.
Kim SH, Weil RJ, Chao ST, Toms SA, Angelov L, Vogelbaum MA, et al. Stereotactic radiosurgical treatment of brain metastases in older patients. Cancer. 2008;113(4):834–40.
Watanabe S, Yamamoto M, Sato Y, Kawabe T, Higuchi Y, Kasuya H, et al. Stereotactic radiosurgery for brain metastases: a case-matched study comparing treatment results for patients 80 years of age or older versus patients 65–79 years of age. J Neurosurg. 2014;121(5):1148–57.
Lowry JK, Snyder JJ, Lowry PW. Brain tumors in the elderly: recent trends in a Minnesota cohort study. Arch Neurol. 1998;55(7):922–8.
The authors declare that they have no competing interests.
JYP & KSM analyzed the data and drafted manuscript. KHL & WYJ revised manuscript critically for important intellectually content. KHL, HL & KSM performed the statistical analysis. SHL & WYJ helped acquisition and interpretation of data. TYJ, HL & IYK participated in reviewing literatures and helped in conception and design of the study. KSM & SJ conceived the study, participated in the design of it and coordination. All authors read and approved the final manuscript.
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Park, JY., Moon, KS., Lee, KH. et al. Gamma knife radiosurgery for elderly patients with brain metastases: evaluation of scoring systems that predict survival. BMC Cancer 15, 54 (2015). https://doi.org/10.1186/s12885-015-1070-y
- Brain metastasis
- Gamma knife radiosurgery