Abstract

Over the past three decades several randomized trials have enabled evidence-based practice for patients presenting with limited brain metastases. These trials have focused on the role of surgery or stereotactic radiosurgery (SRS) with or without whole brain radiation therapy (WBRT). As a result, it is clear that local control should be optimized with surgery or SRS in patients with optimal prognostic factors presenting with up to 4 brain metastases. The routine use of adjuvant WBRT remains debatable, as although greater distant brain control rates are observed, there is no impact on survival, and modern outcomes suggest adverse effects from WBRT on patient cognition and quality of life. With dramatic technologic advances in radiation oncology facilitating the adoption of SRS into mainstream practice, the optimal management of patients with multiple brain metastases is now being put forward. Practice is evolving to SRS alone in these patients despite a lack of level 1 evidence to support a clinical departure from WBRT. The purpose of this review is to summarize the current state of the evidence for patients presenting with limited and multiple metastases, and to present an in-depth analysis of the technology and dosimetric issues specific to the treatment of multiple metastases.

Over the past several decades, randomized trials have been conducted to enable evidence-based practice for patients presenting with limited brain metastases (1–4 tumors). These trials have focused on the role of surgery or stereotactic radiosurgery (SRS) with or without whole brain radiotherapy (WBRT). As a result, it is now clear that local control should be optimized with surgery or SRS in patients with optimal prognostic factors presenting with up to 4 brain metastases. However, the routine use of adjuvant WBRT remains a source of debate,1,2 as although distant brain control rates have been shown to be greater with WBRT, there is no impact on survival, and modern outcomes testing the effects of WBRT on cognition and quality of life (QoL) suggest a negative patient impact. This review will discuss the high-level evidence that has led to these conclusions.

With dramatic technologic advances in radiation oncology facilitating the adoption of SRS into mainstream practice, the optimal management of patients with multiple brain metastases is now being put forward. Practice is evolving to SRS alone in these patients despite a lack of level 1 evidence to support a departure from WBRT. The purpose of this review is to also summarize the current state of the evidence for patients presenting with multiple metastases, and provide an in-depth analysis of the technology and dosimetric issues specific to the treatment of multiple metastases with SRS.

The Evolution of SRS as a Sole Treatment for Patients Presenting With Limited (<5) Metastases

There have been several randomized trials intended to answer the question whether or not WBRT in addition to local aggressive therapy is needed for patients presenting with limited brain metastases.3–6 The definition of “limited” is most applicable in surgical trials to a patient presenting with a single brain metastasis5,6 but has evolved to include those with up to 4 metastases upon the advent of SRS.3,7 The primary endpoint of these trials has also evolved over time from the intent to determine the impact of WBRT on survival, to brain tumor recurrence, and most recently to a focus on neurocognition and QoL as patient-specific toxicities of WBRT.7

We have learned from the initial trials comparing WBRT alone with WBRT in combination with either SRS or surgery, that intensification of treatment to the gross tumor improves local control which may also improve overall survival.6,8,9 Although surgical trials were restricted to patients with a single metastasis, most recently Sperduto et al showed that when SRS is combined with WBRT, a survival advantage in those prognostically favorable patients (based on the graded prognostic assessment [GPA]) is observed irrespective of the number of metastases compared with WBRT alone (up to 3 metastases were included in the trial).9 Although there has been no direct comparative trial of WBRT alone to SRS alone, a recent analysis based on the Surveillance, Epidemiology, End Results program reported survival outcomes favoring SRS in patients with breast and lung cancer brain metastases.10 Therefore, the overall trend in the data supports suboptimal local tumor control and a potential negative survival impact associated with WBRT, when used as a sole modality, in patients presenting with limited brain metastases.

This assertion is further strengthened by those randomized trials comparing surgery alone with surgery plus WBRT5 and those comparing SRS alone with WBRT plus SRS.11–14 These trials report essentially equivalent survival rates, which may be a direct result of local control being optimized in both treatment arms. Therefore, at present, it is reasonable to conclude that in patients with limited brain metastases with optimal prognostic factors (ie, younger age, recursive partitioning analysis [RPA] class 1, GPA of 3.5–4.0, controlled extracranial disease), maximizing local control with SRS or surgery may improve the patients’ survival, and that WBRT as a sole treatment in these patients represents suboptimal therapy.

The impact of distant brain control, which is an arguable rationale for WBRT in the setting of SRS in patients with limited brain metastases, could only be determined in those trials comparing SRS alone with WBRT plus SRS.11,12,14,15 There are now 4 such randomized trials comprising relatively consistent populations with favorable baseline prognostic factors: most commonly a primary histology of lung cancer, up to 3 or 4 metastases at presentation, and a KPS of at least 70. However, what was inconsistent within these trials was the primary endpoint as summarized in Table 1. Importantly, none of the trials were powered for survival comparisons. The challenge with powering these trials for survival is highlighted by the Aoyama et al study, which was designed to have an 80% power to detect an absolute difference of 30% in the median survival time, with a 2-sided α level of 0.05.13 However, at the interim analysis, it was determined that a total of 805 patients would be needed to achieve this level of significance. Given that the number of patients appeared sufficient to detect a significant difference in brain tumor recurrence rates, the primary endpoint was revised and the trial reported with 132 patients randomized.

Table 1

Summary of the randomized trials evaluating SRS to WBRT plus SRS for patients presenting with up to 4 metastases

RCTPatient Inclusion Criteria% Single Brain MetastasesPrimary EndpointLocal ControlDistant ControlOverall Survival
Aoyama et al13
SRS (N = 67) vs WBRT+SRS (N = 65)
1 to 4 metastases, KPS≥70, maximum diameter ≤3 cm49% vs 48%Brain tumor recurrence72.5% vs 88.7% @ 1 y (P = .002)36.3% vs 58.5% @ 1 y (P = .003)28.4% vs 38.5% @ 1 y (P = .42)
Chang et al12
SRS (N = 30) vs WBRT +SRS (N = 28)
1 to 3 metastases, RPA 1 or 2, KPS≥70, maximum diameter ≤4 cm60% vs 54%Neurocognition: HVLT-R total recall @ 4 mo67% vs 100% @ 1 y (P = .012)45% vs 73% @ 1 y (P = .02)63% vs 21% @ 1 y (P = .003)
Kocher et al14
SRS (N = 100) vs WBRT+SRS (N = 99)
1 to 3 metastases WHO ≤2, stable disease or symptomatic synchronous primary tumor68% vs 66%Duration of functional independence based on a WHO ≥269% vs 81% @ 2 y (P = .04)52% vs 67% @ 2 y (P = .023)Median OS (including surgical patients):
10.9 mo vs 10.7 mo (P = .89)
Brown et al11
SRS (N = 102) vs WBRT + SRS (N = 111)
1 to 3 metastases, diameter ≤3 cm55% vs 56%Decline >1 SD from baseline on at least 1 of the 7 cognitive tests @ 3 mo72.8% vs 90.1% @ 1 y (P = .003)69.9% vs 92.3% @ 1 y (P < 0.001)Median OS: 10.7 mo vs 7.5 mo (P = .92)
RCTPatient Inclusion Criteria% Single Brain MetastasesPrimary EndpointLocal ControlDistant ControlOverall Survival
Aoyama et al13
SRS (N = 67) vs WBRT+SRS (N = 65)
1 to 4 metastases, KPS≥70, maximum diameter ≤3 cm49% vs 48%Brain tumor recurrence72.5% vs 88.7% @ 1 y (P = .002)36.3% vs 58.5% @ 1 y (P = .003)28.4% vs 38.5% @ 1 y (P = .42)
Chang et al12
SRS (N = 30) vs WBRT +SRS (N = 28)
1 to 3 metastases, RPA 1 or 2, KPS≥70, maximum diameter ≤4 cm60% vs 54%Neurocognition: HVLT-R total recall @ 4 mo67% vs 100% @ 1 y (P = .012)45% vs 73% @ 1 y (P = .02)63% vs 21% @ 1 y (P = .003)
Kocher et al14
SRS (N = 100) vs WBRT+SRS (N = 99)
1 to 3 metastases WHO ≤2, stable disease or symptomatic synchronous primary tumor68% vs 66%Duration of functional independence based on a WHO ≥269% vs 81% @ 2 y (P = .04)52% vs 67% @ 2 y (P = .023)Median OS (including surgical patients):
10.9 mo vs 10.7 mo (P = .89)
Brown et al11
SRS (N = 102) vs WBRT + SRS (N = 111)
1 to 3 metastases, diameter ≤3 cm55% vs 56%Decline >1 SD from baseline on at least 1 of the 7 cognitive tests @ 3 mo72.8% vs 90.1% @ 1 y (P = .003)69.9% vs 92.3% @ 1 y (P < 0.001)Median OS: 10.7 mo vs 7.5 mo (P = .92)

Abbreviations: RCT, randomized controlled trial; SD, standard deviation; OS, overall survival; WHO, World Health Organization; HVLT, Hopkins Verbal Learning Test–Revised.

Table 1

Summary of the randomized trials evaluating SRS to WBRT plus SRS for patients presenting with up to 4 metastases

RCTPatient Inclusion Criteria% Single Brain MetastasesPrimary EndpointLocal ControlDistant ControlOverall Survival
Aoyama et al13
SRS (N = 67) vs WBRT+SRS (N = 65)
1 to 4 metastases, KPS≥70, maximum diameter ≤3 cm49% vs 48%Brain tumor recurrence72.5% vs 88.7% @ 1 y (P = .002)36.3% vs 58.5% @ 1 y (P = .003)28.4% vs 38.5% @ 1 y (P = .42)
Chang et al12
SRS (N = 30) vs WBRT +SRS (N = 28)
1 to 3 metastases, RPA 1 or 2, KPS≥70, maximum diameter ≤4 cm60% vs 54%Neurocognition: HVLT-R total recall @ 4 mo67% vs 100% @ 1 y (P = .012)45% vs 73% @ 1 y (P = .02)63% vs 21% @ 1 y (P = .003)
Kocher et al14
SRS (N = 100) vs WBRT+SRS (N = 99)
1 to 3 metastases WHO ≤2, stable disease or symptomatic synchronous primary tumor68% vs 66%Duration of functional independence based on a WHO ≥269% vs 81% @ 2 y (P = .04)52% vs 67% @ 2 y (P = .023)Median OS (including surgical patients):
10.9 mo vs 10.7 mo (P = .89)
Brown et al11
SRS (N = 102) vs WBRT + SRS (N = 111)
1 to 3 metastases, diameter ≤3 cm55% vs 56%Decline >1 SD from baseline on at least 1 of the 7 cognitive tests @ 3 mo72.8% vs 90.1% @ 1 y (P = .003)69.9% vs 92.3% @ 1 y (P < 0.001)Median OS: 10.7 mo vs 7.5 mo (P = .92)
RCTPatient Inclusion Criteria% Single Brain MetastasesPrimary EndpointLocal ControlDistant ControlOverall Survival
Aoyama et al13
SRS (N = 67) vs WBRT+SRS (N = 65)
1 to 4 metastases, KPS≥70, maximum diameter ≤3 cm49% vs 48%Brain tumor recurrence72.5% vs 88.7% @ 1 y (P = .002)36.3% vs 58.5% @ 1 y (P = .003)28.4% vs 38.5% @ 1 y (P = .42)
Chang et al12
SRS (N = 30) vs WBRT +SRS (N = 28)
1 to 3 metastases, RPA 1 or 2, KPS≥70, maximum diameter ≤4 cm60% vs 54%Neurocognition: HVLT-R total recall @ 4 mo67% vs 100% @ 1 y (P = .012)45% vs 73% @ 1 y (P = .02)63% vs 21% @ 1 y (P = .003)
Kocher et al14
SRS (N = 100) vs WBRT+SRS (N = 99)
1 to 3 metastases WHO ≤2, stable disease or symptomatic synchronous primary tumor68% vs 66%Duration of functional independence based on a WHO ≥269% vs 81% @ 2 y (P = .04)52% vs 67% @ 2 y (P = .023)Median OS (including surgical patients):
10.9 mo vs 10.7 mo (P = .89)
Brown et al11
SRS (N = 102) vs WBRT + SRS (N = 111)
1 to 3 metastases, diameter ≤3 cm55% vs 56%Decline >1 SD from baseline on at least 1 of the 7 cognitive tests @ 3 mo72.8% vs 90.1% @ 1 y (P = .003)69.9% vs 92.3% @ 1 y (P < 0.001)Median OS: 10.7 mo vs 7.5 mo (P = .92)

Abbreviations: RCT, randomized controlled trial; SD, standard deviation; OS, overall survival; WHO, World Health Organization; HVLT, Hopkins Verbal Learning Test–Revised.

Nevertheless, we observed from these randomized trials a consistent benefit for adjuvant WBRT with respect to distant brain control, and rates ranging from 37%–70% if WBRT was omitted to 59%–92% if treated with adjuvant WBRT (Table 1). Local control was also consistently improved with adjuvant WBRT; however, local control rates were still high with SRS alone and the issues surrounding determining local control in the context of clinical trials with inconsistent response criteria, measurements still based on linear dimensions as opposed to volume, and lack of methodology to account for necrosis or pseudoprogression16 make this outcome measure not as reliable compared with distant brain control, where new metastases emerge or not. Ultimately, from the individual trials we can conclude that the overall increased intracranial control rates associated with adjuvant WBRT has not translated to a survival benefit. Moreover, a recent individual patient data meta-analysis of 3 of the 4 randomized trials (reported prior to the Brown et al trial11) observed a survival advantage in a subgroup of patients 50 years and younger treated with SRS alone.17 The hypothesis supporting this result centered on the distant brain failure rate subgroup analysis, which was observed not to be influenced in this cohort of younger patients (50 years and younger) despite treatment with adjuvant WBRT, as opposed to the older patient (>50 y) cohort where adjuvant WBRT was efficacious in reducing the risk of new brain metastases. Sahgal et al17 concluded that when a therapeutic gain in distant brain control is not observed by the adjuvant WBRT, the adverse effects of WBRT which have been shown to impact both neurocognition and QoL11,12,18 could explain the negative impact on survival. That hypothesis requires validation.

Most recently, the adverse impact on neurocognition associated with adjuvant WBRT has been confirmed by the Brown et al randomized trial.11 Similar to the initial Chang et al trial,12 they also observed greater rates of cognitive deterioration with adjuvant WBRT despite the lower risk of intracranial relapse rates based on the Hopkins Verbal Learning Test. The Brown et al trial also reported QoL outcomes, and confirmed worse QoL with adjuvant WBRT.11 This result also confirms the QoL results from the Kocher et al trial that randomized patients following either surgery or SRS to observation versus adjuvant WBRT.18 These trials have clarified that relapse is not critical to the patient-related outcomes of cognition and QoL as long as patients are monitored with serial MRI and salvaged. It is the upfront use of WBRT that is detrimental.1

At present, it would be reasonable to conclude that adjuvant WBRT results in harm to both neurocognition and QoL and does not improve survival. These results have resulted in statements supporting SRS alone by international organizations such as the American Society for Therapeutic Radiation Oncology (ASTRO)19 and the National Comprehensive Cancer Network,20 in addition to experts in the field,1,21 specific to patients presenting with limited metastases. What remains to be answered is the role of SRS in patients presenting with more than 4 metastases, as current clinical practice is to deliver WBRT alone. However, early adopters of SRS for multiple metastases have reported data using SRS alone in these patients.22 The purpose of this review is to summarize the current clinical experience with SRS alone for patients with 5 or more metastases, the current state of the technology to deliver such treatment, and clinical trials in progress specific to this population.

Clinical Data Specific to SRS for Patients With More Than 4 Metastases

A literature search in accordance with PRISMA was performed on Embase (1947–June 2015), Medline (1946–June 2015), and Cochrane Central databases (May 2015). The search was limited to the English language. Search words included brain metastases/brain neoplasms, brain cancer/metastases, radiosurgery, stereotactic radiosurgery, and Gamma Knife (GK) radiosurgery. In total, 3677 articles were identified (Medline = 1390, Embase = 2245, Cochrane = 42). After eliminating for duplicates (593), 3084 articles were reviewed with a visual check of the title and abstract. The visual check and removal of abstracts led to 111 articles remaining for in-depth review. From the 15 articles that met the exclusion criteria of outcomes reported specific to patients with ≥5 metastases, only 10 remained when we specified the additional requirement of reporting outcomes specific to distant brain relapse rates. These 10 articles are summarized in Table 2.22–31

Table 2

Summary of those studies reporting on SRS for patients with ≥5 brain metastases that met prespecified inclusion criteria

Author (year)Range of Metastases/ Total Volume/
Number of Patients
Key Patient Inclusion CriteriaMedian Follow-upLocal RecurrenceDistant Brain Failure (DBF)/ Time to DBFOverall Survival
Yamamoto et al22 (2014)5–10 mets (median 6)/ mean = 3.54 cc/208No single met >3 cm or 10 cc
Cumulative tumor volume ≤15 cc
KPS ≥70
(100% no prior WBRT)
12 mo1 y = 6.5%
2y = 9.8%
1 y = 63.8%
2 y = 72%/
median = 8.04 mo
Median = 10.8 mo
Salvetti et al23 (2013)5–15 (median 7)/ median per patient = 6.12 cc/ 96Histology other than small cell or unknown primary
KPS≥70
(53% no prior WBRT)
4.1 mo1 y = 15.2%
2 y = 25.1%
Crude: 41.0% /NR5–9 mets = median 4.8 mo,
10–15 mets = median 3.4 mo
Rava et al24 (2013)10–34 (mean 11)/NR/53KPS≥70
(36% no prior WBRT)
NRCrude: 13.2%1 y = 90%/ median = 3 momedian = 6.5 mo
Mohammadi et al25 (2012)5–20 (median 6)/ median = 3.2 cc/178KPS≥70
(46% no prior WBRT)
6.2 moCrude: 3%Crude: 40%/ median = 2.1 momedian = 6.7 mo
Grandhi et al26 (2012)10–28 (mean 13.2)/ median = 4.86 cc/6177% KPS 90–100
(37.7% no prior WBRT)
4 mo1 y = 58.3%1 y = 77.6%/ median = 3 moMedian = 4 mo
Lee et al27 (2011)4–14/NR /36Median KPS 90 (range, 60–80)
(80.6% no prior WBRT)
4.5 mo9 mo = 15.8%Crude = 22.2%/ median = 4 moMedian: 4.5 mo
Chang et al28 (2010)Group 2: 6–10/NR /58
Group 3: 11–15 /NR/17
Group 4: >15/NR/33
KPS≥70
RPA 1 or 2
(Group 4, 42.4% had prior WBRT)
*Group 2: 10.7 moGroup 3: 12.3 moGroup 4: 8 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 89%(Group 4, 36.8% of the 57.6% developing distantmets were within 3 mo)*Group 2: 1 y = 47.2%/median = 8.8 moGroup 3: 1 y = 53.1%/median = 5.3 mo Group 4: 1 y = 80.3%/ median = 5.0 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 88%
Kim et al29 (2008)10–37 (mean 16.6)/mean 10.9 cc/26KPS≥70
(69% prior/ adjuvant WBRT)
NR6 mo = 20.6%6 mo = 26.9% /NRMedian = 7.8 mo
Bhatnagar et al30 (2006)4–18 (median 5)/NR/205>3 brain mets
(83% prior or adjuvant WBRT)
Mean = 8 mo1 y = 29%1 y = 43%/ median = 9 moMedian = 8 mo
Nam et al31 (
2005)
4–10/NR/46 Not specified for this cohortMean = 13.3 mo1 y = 30.5%1 y = 78.1%/NRMedian = 5.4 mo
Author (year)Range of Metastases/ Total Volume/
Number of Patients
Key Patient Inclusion CriteriaMedian Follow-upLocal RecurrenceDistant Brain Failure (DBF)/ Time to DBFOverall Survival
Yamamoto et al22 (2014)5–10 mets (median 6)/ mean = 3.54 cc/208No single met >3 cm or 10 cc
Cumulative tumor volume ≤15 cc
KPS ≥70
(100% no prior WBRT)
12 mo1 y = 6.5%
2y = 9.8%
1 y = 63.8%
2 y = 72%/
median = 8.04 mo
Median = 10.8 mo
Salvetti et al23 (2013)5–15 (median 7)/ median per patient = 6.12 cc/ 96Histology other than small cell or unknown primary
KPS≥70
(53% no prior WBRT)
4.1 mo1 y = 15.2%
2 y = 25.1%
Crude: 41.0% /NR5–9 mets = median 4.8 mo,
10–15 mets = median 3.4 mo
Rava et al24 (2013)10–34 (mean 11)/NR/53KPS≥70
(36% no prior WBRT)
NRCrude: 13.2%1 y = 90%/ median = 3 momedian = 6.5 mo
Mohammadi et al25 (2012)5–20 (median 6)/ median = 3.2 cc/178KPS≥70
(46% no prior WBRT)
6.2 moCrude: 3%Crude: 40%/ median = 2.1 momedian = 6.7 mo
Grandhi et al26 (2012)10–28 (mean 13.2)/ median = 4.86 cc/6177% KPS 90–100
(37.7% no prior WBRT)
4 mo1 y = 58.3%1 y = 77.6%/ median = 3 moMedian = 4 mo
Lee et al27 (2011)4–14/NR /36Median KPS 90 (range, 60–80)
(80.6% no prior WBRT)
4.5 mo9 mo = 15.8%Crude = 22.2%/ median = 4 moMedian: 4.5 mo
Chang et al28 (2010)Group 2: 6–10/NR /58
Group 3: 11–15 /NR/17
Group 4: >15/NR/33
KPS≥70
RPA 1 or 2
(Group 4, 42.4% had prior WBRT)
*Group 2: 10.7 moGroup 3: 12.3 moGroup 4: 8 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 89%(Group 4, 36.8% of the 57.6% developing distantmets were within 3 mo)*Group 2: 1 y = 47.2%/median = 8.8 moGroup 3: 1 y = 53.1%/median = 5.3 mo Group 4: 1 y = 80.3%/ median = 5.0 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 88%
Kim et al29 (2008)10–37 (mean 16.6)/mean 10.9 cc/26KPS≥70
(69% prior/ adjuvant WBRT)
NR6 mo = 20.6%6 mo = 26.9% /NRMedian = 7.8 mo
Bhatnagar et al30 (2006)4–18 (median 5)/NR/205>3 brain mets
(83% prior or adjuvant WBRT)
Mean = 8 mo1 y = 29%1 y = 43%/ median = 9 moMedian = 8 mo
Nam et al31 (
2005)
4–10/NR/46 Not specified for this cohortMean = 13.3 mo1 y = 30.5%1 y = 78.1%/NRMedian = 5.4 mo

Abbreviations: mets, metastases; NR, not reported; * data provided by corresponding author

Table 2

Summary of those studies reporting on SRS for patients with ≥5 brain metastases that met prespecified inclusion criteria

Author (year)Range of Metastases/ Total Volume/
Number of Patients
Key Patient Inclusion CriteriaMedian Follow-upLocal RecurrenceDistant Brain Failure (DBF)/ Time to DBFOverall Survival
Yamamoto et al22 (2014)5–10 mets (median 6)/ mean = 3.54 cc/208No single met >3 cm or 10 cc
Cumulative tumor volume ≤15 cc
KPS ≥70
(100% no prior WBRT)
12 mo1 y = 6.5%
2y = 9.8%
1 y = 63.8%
2 y = 72%/
median = 8.04 mo
Median = 10.8 mo
Salvetti et al23 (2013)5–15 (median 7)/ median per patient = 6.12 cc/ 96Histology other than small cell or unknown primary
KPS≥70
(53% no prior WBRT)
4.1 mo1 y = 15.2%
2 y = 25.1%
Crude: 41.0% /NR5–9 mets = median 4.8 mo,
10–15 mets = median 3.4 mo
Rava et al24 (2013)10–34 (mean 11)/NR/53KPS≥70
(36% no prior WBRT)
NRCrude: 13.2%1 y = 90%/ median = 3 momedian = 6.5 mo
Mohammadi et al25 (2012)5–20 (median 6)/ median = 3.2 cc/178KPS≥70
(46% no prior WBRT)
6.2 moCrude: 3%Crude: 40%/ median = 2.1 momedian = 6.7 mo
Grandhi et al26 (2012)10–28 (mean 13.2)/ median = 4.86 cc/6177% KPS 90–100
(37.7% no prior WBRT)
4 mo1 y = 58.3%1 y = 77.6%/ median = 3 moMedian = 4 mo
Lee et al27 (2011)4–14/NR /36Median KPS 90 (range, 60–80)
(80.6% no prior WBRT)
4.5 mo9 mo = 15.8%Crude = 22.2%/ median = 4 moMedian: 4.5 mo
Chang et al28 (2010)Group 2: 6–10/NR /58
Group 3: 11–15 /NR/17
Group 4: >15/NR/33
KPS≥70
RPA 1 or 2
(Group 4, 42.4% had prior WBRT)
*Group 2: 10.7 moGroup 3: 12.3 moGroup 4: 8 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 89%(Group 4, 36.8% of the 57.6% developing distantmets were within 3 mo)*Group 2: 1 y = 47.2%/median = 8.8 moGroup 3: 1 y = 53.1%/median = 5.3 mo Group 4: 1 y = 80.3%/ median = 5.0 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 88%
Kim et al29 (2008)10–37 (mean 16.6)/mean 10.9 cc/26KPS≥70
(69% prior/ adjuvant WBRT)
NR6 mo = 20.6%6 mo = 26.9% /NRMedian = 7.8 mo
Bhatnagar et al30 (2006)4–18 (median 5)/NR/205>3 brain mets
(83% prior or adjuvant WBRT)
Mean = 8 mo1 y = 29%1 y = 43%/ median = 9 moMedian = 8 mo
Nam et al31 (
2005)
4–10/NR/46 Not specified for this cohortMean = 13.3 mo1 y = 30.5%1 y = 78.1%/NRMedian = 5.4 mo
Author (year)Range of Metastases/ Total Volume/
Number of Patients
Key Patient Inclusion CriteriaMedian Follow-upLocal RecurrenceDistant Brain Failure (DBF)/ Time to DBFOverall Survival
Yamamoto et al22 (2014)5–10 mets (median 6)/ mean = 3.54 cc/208No single met >3 cm or 10 cc
Cumulative tumor volume ≤15 cc
KPS ≥70
(100% no prior WBRT)
12 mo1 y = 6.5%
2y = 9.8%
1 y = 63.8%
2 y = 72%/
median = 8.04 mo
Median = 10.8 mo
Salvetti et al23 (2013)5–15 (median 7)/ median per patient = 6.12 cc/ 96Histology other than small cell or unknown primary
KPS≥70
(53% no prior WBRT)
4.1 mo1 y = 15.2%
2 y = 25.1%
Crude: 41.0% /NR5–9 mets = median 4.8 mo,
10–15 mets = median 3.4 mo
Rava et al24 (2013)10–34 (mean 11)/NR/53KPS≥70
(36% no prior WBRT)
NRCrude: 13.2%1 y = 90%/ median = 3 momedian = 6.5 mo
Mohammadi et al25 (2012)5–20 (median 6)/ median = 3.2 cc/178KPS≥70
(46% no prior WBRT)
6.2 moCrude: 3%Crude: 40%/ median = 2.1 momedian = 6.7 mo
Grandhi et al26 (2012)10–28 (mean 13.2)/ median = 4.86 cc/6177% KPS 90–100
(37.7% no prior WBRT)
4 mo1 y = 58.3%1 y = 77.6%/ median = 3 moMedian = 4 mo
Lee et al27 (2011)4–14/NR /36Median KPS 90 (range, 60–80)
(80.6% no prior WBRT)
4.5 mo9 mo = 15.8%Crude = 22.2%/ median = 4 moMedian: 4.5 mo
Chang et al28 (2010)Group 2: 6–10/NR /58
Group 3: 11–15 /NR/17
Group 4: >15/NR/33
KPS≥70
RPA 1 or 2
(Group 4, 42.4% had prior WBRT)
*Group 2: 10.7 moGroup 3: 12.3 moGroup 4: 8 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 89%(Group 4, 36.8% of the 57.6% developing distantmets were within 3 mo)*Group 2: 1 y = 47.2%/median = 8.8 moGroup 3: 1 y = 53.1%/median = 5.3 mo Group 4: 1 y = 80.3%/ median = 5.0 mo*Group 2: 1 y = 83% Group 3: 1 y = 92%Group 4: 1 y = 88%
Kim et al29 (2008)10–37 (mean 16.6)/mean 10.9 cc/26KPS≥70
(69% prior/ adjuvant WBRT)
NR6 mo = 20.6%6 mo = 26.9% /NRMedian = 7.8 mo
Bhatnagar et al30 (2006)4–18 (median 5)/NR/205>3 brain mets
(83% prior or adjuvant WBRT)
Mean = 8 mo1 y = 29%1 y = 43%/ median = 9 moMedian = 8 mo
Nam et al31 (
2005)
4–10/NR/46 Not specified for this cohortMean = 13.3 mo1 y = 30.5%1 y = 78.1%/NRMedian = 5.4 mo

Abbreviations: mets, metastases; NR, not reported; * data provided by corresponding author

From the 10 articles summarized in Table 2, consistencies are observed. First, the minimum number of metastases treated was 5 with a range of 5 to 37. In those series that provided more specific data, the median and/or mean number of metastases treated ranged from 6 to 17, and the mean intracranial total target volume ranged from 3.2 cc to 10.9 cc. The most consistent patient inclusion criterion was that of a KPS of ≥70. Only the data from Yamamoto et al22 were specific to patients with no prior WBRT, otherwise there was some proportion of patients with prior WBRT and salvaged with SRS for their ≥5 metastases. The comparability of SRS in a patient treated for salvage as opposed to de novo is unknown with respect to distant brain control rates, but may influence observed survival rates and local tumor control.32 Similarly, with the exception of Yamamoto et al,22 all the data are retrospective single institution series.

The Yamamoto et al prospective observation study22 deserves an in-depth analysis, as it is the highest quality of evidence to be reported to date, with all patients treated with SRS alone. The trial included 208 patients with 5 to 10 metastases, 531 with 2 to 4 metastases, and 455 with a single brain metastasis. The primary endpoint was overall survival with the intention to determine non-inferiority in the cohort with 5 to 10 metastases compared with the cohort with 2 to 4 metastases. Notably, the median cumulative total volume of metastases was similar between the 2 cohorts at 3.07 cc versus 3.54 cc, respectively, and a similar upper bound of the volume range at 14.96 cc versus 13.9 cc, respectively. The population was consistent with the maximum diameter of any individual tumor 3 cm or less, the majority RPA 2, KPS ≥80, and metastases secondary to a lung cancer primary.

From this trial we have learned many critical details. First and foremost is that survival is not compromised by the presence of multiple metastases given the caveat of a total intracranial volume of disease ranging from 0.02 to 13.9 cc, and the median survival in the cohort of patients with 5 to 10 metastases was 10.8 months (similar to the cohort with 2 to 4 metastases). Moreover, the rates of neurologic death did not differ between cohorts and did not exceed 10% in any of the subgroups. Therefore, one can conclude that systemic disease progression is still the predominant cause of death with the caveat of the brain metastases locally controlled with SRS. Second, local control is not influenced by the number of metastases, as local control rates were not significantly different in any of the 3 cohorts, including those with a single metastasis. Third, distant brain failure rates are lowest for patients with a single metastasis, and no significant difference was otherwise observed in patients with 2 to 10 metastases. However, an increasing tumor burden was associated with an increase in the risk of manifesting leptomeningeal disease, as the rates were highest in the 5 to 10 cohort with a 2-year rate of 21.9% versus 13.2% and 11% in the 2 to 4 cohort and single metastasis cohort, respectively. This result could also reflect the potential for imbalances within the cohorts associated with molecular subtypes within the patients with lung (ie, proportion of epidermal growth factor receptor/anaplastic lymphoma kinase–positive patients) and breast cancer (ie, proportion of human epidermal growth factor receptor 2 positive and triple negative patients) and the proportion of small cell lung cancer patients, who are known to influence the risk of developing leptomeningeal disease. Nevertheless, this finding is of significance, as whether or not adjuvant WBRT could reduce the risk of manifesting leptomeningeal disease is unknown. Lastly, the rates of grades 3 to 5 toxicity were similar and less than 5% within each cohort. It is noteworthy to mention that fewer than 10% of patients were salvaged with WBRT, and ~40% did receive additional SRS. This also highlights the importance of serial MRI follow-up when treating with SRS alone, as new metastases will arise in ~50% of the population and the rate of distant brain failure is known to increase with time. The intent of imaging surveillance following SRS, whether or not prior WBRT had been used, is to salvage patients with new metastases prior to symptoms or neurologic deterioration to maintain and optimize both function and survival.

The other articles determined from the search summarized in Table 2 compare reasonably well in general to the outcomes reported by Yamamoto et al,22 with certain exceptions. For example, within these studies the local tumor actuarial recurrence rates at 1 year range from 15.2% to 58.3%, which is higher than the 6.5% reported by Yamamoto et al22 but not so inconsistent from those rates reported in the randomized trials for up to 4 metastases (Table 1). This wide range in local tumor control rates among the data are again likely a function of the heterogeneity in the cohorts with respect to histology and definition of local tumor control; and although typically tumors greater than 4 cm are excluded from single fraction SRS, we know that local control is impacted significantly by diameter, volume, and dose prescribed.33,34 Therefore, although conclusions are difficult to draw specific to local control, it is reasonable to conclude that the data are consistent with the literature overall. Moreover, among those few studies that compared within their single institution experience local control outcomes for those with multiple metastases with those with limited metastases, no significant differences were observed.28,31 Essentially each metastasis can be considered an independent variable, and not impacted by the intent to treat multiple lesions versus even a single lesion.

With respect to distant brain failure, we observed new metastases rates ranging from 22% to 90%. This wide range is also a reflection of several factors that include heterogeneity in primary tumor type and definition of extracranial disease control status; furthermore, many of the patients had been previously treated with WBRT. In those series reporting the median time to progression, we observed a range of 2.1 to 9 months. Notably, the Chang et al study28 subdivided cohorts into patients with 6–10 metastases, 11–15 metastases, and >15 metastases. They observed a significantly greater probability of developing new brain metastases in those with >15 metastases. However, in the 58% of patients who did fail distantly, only 37% did so within 3 months. Nam et al31 also reported on a cohort with 1 to 3 metastases and found no significant difference in distant relapse rates compared with those with 4–10 metastases (similar to Yamamoto et al22). Therefore, it is reasonable that in patients with up to 10 metastases, the expected distant brain failure rate is no greater than would be expected for patients with limited brain metastases. However, in those with >10 metastases, we cannot speculate on expected outcomes, as limited data exist.

Survival outcomes are also comparable to medians ranging from 3.4 to 13 months. Even in extreme cohorts, as reported by Chang et al28 treating patients with >15 metastases and Kim et al29 treating patients with 10 to 37 metastases, a prolonged median overall survival was observed at ~8 months. With respect to prognostic factors, a better RPA classification, higher KPS, favorable histology such as breast cancer, controlled extracranial tumor, and age have been reported within these series as favorable, and these are consistent overall with the limited brain metastases literature. Only 1 of the 10 series selected observed a total intracranial target volume as a prognostic factor. Bhatnagar et al30 reported on patients with 4 to 18 metastases treated with SRS with only 17% having a history of prior WBRT. They observed a relationship with increasing total volume of metastases and worse survival, but no details as to a specific volume threshold as a prognostic factor. Among those 5 excluded studies for not reporting distant brain control, Amendola et al35 reported survival results among those patients with >10 metastases treated with SRS and observed a total volume less than 30 cc as prognostic. A prior series by Yamamoto et al36 reported in 2013 compared survival outcomes for (i) 1553 patients with 1 to 4 metastases (median N = 2 and a mean cumulative total target volume of 8.71 cc [range, 0.01–126.2 cc]) with (ii) 560 patients with 5 to 51 metastases (median N = 8, mean cumulative total target volume of 11.80 cc [range, 0.10–115.3 cc]). The median survival times were 7.9 months and 7.0 months for the 1 to 4 and 5 to 51 metastases cohorts, respectively, and comparisons did not achieve statistical significance. However, within both groups, a cumulative volume of >10 cc was prognostic for survival. This result has not been reproduced in other retrospective series, including those summarized in Table 2. Notably, this association was not observed in the prospective study by Yamamoto et al,22 which may reflect selection bias, as the median total target volumes were much smaller than in their prior retrospective series. Therefore, at this time we cannot conclude a total volume or even number of metastases to guide case selection, and it is our position that it is the suitability of SRS as determined by patient (eg, patient performance status) and brain metastases (eg, lesion size) factors that should dictate treatment decisions until we have more data. Lastly, none of the series summarized in Table 2 reported increased adverse events profiles when treating multiple metastases, with the caveat that these series are all based on GK technology (Elekta AB, Stockholm, Sweden). The potential significance of the technology platform specific to multiple metastases will be discussed in the following sections.

Technical Fundamentals of the SRS Apparatus in Common Clinical Use

The 3 major categories of state-of-the-art SRS treatment apparatus consist of the (i) GK, (ii) robotic multi-leaf collimator (MLC)–based X-band CyberKnife (CK) system (Accuray), and (iii) high-definition (HD) MLC-based S-band linear accelerator (linac) systems.

The Gamma Knife SRS System

In 2006, GK underwent a major redesign resulting in the GK Perfexion (PFX).37–39 The latest development in GK technology occurred in 2015 with the integration of an on-board stereotactic cone-beam CT (CBCT) image-guidance system, resulting in a new system named the GK Icon (GKI),40 as shown in Fig. 1. This development has been realized primarily for delivering image-guided frameless SRS and hypofractionated (2 to 5 treatments with a dose per fraction of ≥5 Gy) GK treatments.

Gamma Knife Icon system with a retractable 90 kV CBCT unit mapped in submillimeter stereotactic coordinates for treatment setups. Shown is the starting position of the CBCT arm for online imaging acquisitions. This picture is provided by Dr Dheerendra Prasad, Rosswell Park, Department of Radiation Oncology.
Fig. 1

Gamma Knife Icon system with a retractable 90 kV CBCT unit mapped in submillimeter stereotactic coordinates for treatment setups. Shown is the starting position of the CBCT arm for online imaging acquisitions. This picture is provided by Dr Dheerendra Prasad, Rosswell Park, Department of Radiation Oncology.

One key physical dosimetry update in PFX and GKI systems compared with prior models is the change in the largest reference field collimator size from an 18-mm to a 16-mm field, while maintaining the smallest collimator size to 4 mm in nominal full-width at half-maximum. Because Co-60 beamlets possess well-known energy spectra with 2 distinctive gamma rays (energies 1.17 MeV and 1.33 MeV), the output factors and beamlet profiles of GK SRS have been carefully determined with Monte Carlo calculation and validated via different measurements.41–44 By simply adjusting the prescription isodose level, small lesions of 1 mm in size have been routinely and precisely targeted via frame-based GK SRS including focal areas within the brain tissue for functional disorders such as trigeminal neuralgia45 and refractory tremor.46

One of the workflow changes in the current system is the ability to preplan based on the diagnostic MRI. Once the patient is simulated in the frame, then the preplanning image is co-registered to the stereotactic planning CT or MRI and the treatment plan superimposed based on the stereotactic reference coordinates. The shots can then be adjusted to account for the actual patient position within the frame system, which may be rotated with respect to the preplanning image set. The key to the success of such an approach, given that the couch cannot rotate in 6 degrees of freedom (6-DOF) to compensate for rotations, is that the dose distribution of an individual shot is invariant to small translations due to the simultaneous exposure of 192 beams around the head focused at the isocenter. Thus, translational or rotational errors can accurately be corrected for via a simple mathematical transformation of shot locations. For the GKI, online adaptive patient positioning detection and immediate 3D dose review are based on the GKI CBCT imaging studies with again real-time interactive replanning before a treatment delivery. GKI clinical data are forthcoming to define the accuracy of the stereotactic CBCT functionality in targeting small lesions and hypofractionation for larger lesions.

The Robotic MLC-Based CyberKnife System

Robotic CK SRS has traditionally relied on tertiary collimated cone-shaped beams (ranging from 5 mm to 60 mm in diameter) to target intracranial lesions.47–49 Recently, the system has been upgraded to the M6 platform (Fig. 2), which is equipped with a HD (3.85 mm leaf width) MLC system (InCise2) that extends the treatment field to 11.5 cm × 10 cm.50 The tungsten leaves are tilted 0.5 degrees to minimize interleaf transmission. The system facilitated 100% overtravel capability, which has extended the CK system to deliver traditional MLC-based intensity modulated radiotherapy treatments of regular fractionation of 1.8 Gy/day as well as radiosurgical treatments in single or hypofractionated sessions. One of the key advantages of the M6 platform is the interchangeability of each of the tertiary collimation systems, which include the cones, variable aperture Iris collimator, and the InCise2 MLC system. The robotic arm of the system can select and attach a collimation device in the treatment room as required prior to treatment setup.

The Cyberknife M6 which is equipped with the InCise2 high definition MLC (leaf width = 3.85 mm at 80 cm SAD) allowing for a maximum clinical field size of 11.5 x 10 cm2. Picture provided by Dr Lei Wang of Stanford University, Department of Radiation Oncology.
Fig. 2

The Cyberknife M6 which is equipped with the InCise2 high definition MLC (leaf width = 3.85 mm at 80 cm SAD) allowing for a maximum clinical field size of 11.5 x 10 cm2. Picture provided by Dr Lei Wang of Stanford University, Department of Radiation Oncology.

High-Definition MLC-Based Linac SRS Systems

A new generation of digitally controlled linacs coupled with on-board image guidance, 6-DOF robotic couches, beam modulation with fast leaf-motion, flattening filter-free (FFF) X-ray beams (Fig. 3), and advanced software for treatment planning allowing for volumetric modulated arc therapy (VMAT) have enabled rapid treatment of single or multiple intracranial lesions.51,52 In VMAT, the planner specifies the arcs (either coplanar or non-coplanar) and the collimator angle and size. Objectives for dose to the tumor/planning target volume (PTV), organs at risk, and often ring structures around the tumor are set and a computer-driven optimization determines the MLC apertures that produce the dose distribution best fitting the objectives. This often involves complex segment shapes and even shielding of the target for part of the arc. The total beam-on time has further been substantially shortened due to high beam outputs on the order of 10–24 Gy/min.

An example of a digitally controlled SRS/SRT linear accelerator system (Varian Truebeam Stx), which is equipped with a 120-leaf high-definition MLC and a kilo-voltage on-board imager. The minimum MLC leaf width is 2.5 mm for the central 32 leaf pairs (8 cm in field width) for the purpose of delivering SRS/SRT treatments.
Fig. 3

An example of a digitally controlled SRS/SRT linear accelerator system (Varian Truebeam Stx), which is equipped with a 120-leaf high-definition MLC and a kilo-voltage on-board imager. The minimum MLC leaf width is 2.5 mm for the central 32 leaf pairs (8 cm in field width) for the purpose of delivering SRS/SRT treatments.

Unlike GK and CK treatment planning systems, the majority of FFF linac photon beams are modeled and fit based on user-acquired beam data, which is a challenging process especially for narrow beams for which there is a large variation in measurement response between different instruments/detectors. Furthermore, treating at extended distances from the isocenter has raised the issue of rotational uncertainties on target coverage. It was noted that uncorrected rotational shifts may result in substantial underdosing, especially for small targets.53 As a result, adding a PTV margin is generally prudent practice for linac-based MLC SRS systems. As discussed more in depth in the next section, caution should be exhibited when using MLC to treat targets less than 10 mm in diameter, especially if treating off-axis.

Dosimetric Differences Between Major Platforms

As the number and complexity of brain metastases cases increase, so do the demands for high performance SRS systems. The previous section described the technical details of the major SRS modalities, and this section focuses on dosimetric aspects to SRS delivery, in particular for multiple metastases.

Limited (1–4) Brain Metastases

SRS treatment planning studies have shown that despite substantial differences in delivery methods and planning strategies, PFX, linac, and CK have similar dose fall-off characteristics in single-target SRS.54 An example of a relatively spherical single-target case is shown in Fig. 4. Conformality, coverage, the volume of tissue receiving 12 Gy (V12Gy), and the gradient index (GI) are near-equivalent for PFX and VMAT. The V5Gy is higher in the VMAT case (see pink isodose line), while the maximum dose in the target (Dmax) is greater for PFX. In terms of physical characteristics, PFX has a reported steep dose fall-off (penumbra) in the cranial-caudal direction: 1.6 mm (80%–20%) for a 4 mm “shot.”55 In other directions, modern modalities have reported similar penumbrae: 2.2 mm for CK for a 5-mm diameter field56; 2.8 mm for PFX (axially)55; and 2.5 mm–3 mm for narrow 6MV-linac MLC-defined fields.57,58 Translating these penumbrae into a composite plan is a complex issue involving overlapping shots (PFX) or beamlets (VMAT), in particular for multiple targets, as discussed below, but in general the literature supports all modalities as having somewhat equivalent dose fall-off for a single beam.

A typical dose distribution and resulting statistics for a single target shown in sagittal view. Blue colorwash = target volume; isodose lines: gray = 30 Gy, red = 20 Gy (prescribed dose); yellow = 16 Gy; light blue = 12 Gy; pink = 5 Gy. VMAT was planned using a 2-arc RapidArc Varian linac with HD 120 MLC. Plans were generated such that the target volume receiving 20 Gy was 98%.
Fig. 4

A typical dose distribution and resulting statistics for a single target shown in sagittal view. Blue colorwash = target volume; isodose lines: gray = 30 Gy, red = 20 Gy (prescribed dose); yellow = 16 Gy; light blue = 12 Gy; pink = 5 Gy. VMAT was planned using a 2-arc RapidArc Varian linac with HD 120 MLC. Plans were generated such that the target volume receiving 20 Gy was 98%.

Multiple (>4) Metastases

Multitarget (>4 targets) SRS is a complex scenario involving dose-interplay effects between targets,59 “island blocking” issues,60 multiple isocenter versus single isocenter approaches,61 etc. In the absence of evidence as to whether any modality confers a clinical benefit, SRS systems are being compared in the literature in terms of the basic planning metrics that have been shown to be predictive of toxicity, such as volume receiving 10 Gy (V10Gy), V12Gy (ie, dose fall-off), and conformality.62–64 Dose fall-off has implications for what maximum total dose can be safely prescribed for a given V12Gy (ie, “isotoxic”). In terms of dose fall-off, some studies favor PFX technology,61,65,66 while others indicate single-isocenter VMAT with the HD 120 MLC system able to yield equivalent dose fall-off.67,68 The comparisons are ultimately based on simple metric comparisons that render any conclusion specific to that comparison, as opposed to making conclusions on the ability of the apparatus in general to outperform another.

There is naturally an attraction for single isocenter VMAT treatment of multiple metastases, such as the single-isocenter dynamic conformal therapy employed by Brainlab,69 as beam-on time has been demonstrated to be substantially lower than PFX.67,70,71 Patient comfort and higher throughput are advantages of short beam-on time, whereas long treatment times may also require more imaging to ensure correct patient positioning, especially for frameless systems. The overall effort should also be considered: there is minimal delay between planning for PFX and actual beam-on time due to the rigid frame alignment and the known output rate from the56Co decay.66 In comparison, MLC calibration, isocenter fidelity checks, and patient-specific quality assurance (QA) are required for linac-based treatments, although the patient need not be present in the clinic during QA.72–75

In the absence of a definitive conclusion as to which system confers a dosimetric or clinical advantage, the focus should be on ensuring robust and accurate delivery, as treating multiple targets is a complex technique. There are 2 broad categories of QA for multitarget SRS. The first category involves small-field dosimetry. Targets <0.1 cm3 involve field sizes of <5 mm. Below a 1-cm field size, dosimetry is challenging: in 2 studies, air-filled ion chambers including pinpoint chambers exhibit deviations of >10%76 and >7%77 relative to Monte Carlo and scintillator detectors, respectively. The results of one study investigating RapidArc (arc modulated delivery, Varian Medical Systems) for SRS indicated that for a 0.4 cm3 target, their measured dose was 20% higher than the treatment planning system (TPS)–planned dose even when using a 1.25-mm dose calculation grid.78 For PFX,42,43,79–84 CK with cone inserts,56,85–94 or linac with cone inserts, small-field dosimetry is also challenging; however, the discrete nature of the fixed collimator sizes in such dedicated systems minimizes the risk of user-dependent beam modeling error and focuses more user attention to verifying a finite set of dosimetric properties rather than modeling them. The clinical relevance of over- or underdosing in the context of multiple metastases SRS is unknown, as there are limited outcome data available; however, a factor when considering systems may be how susceptible a given system is to dosimetric error.

The second area of QA is the mechanical and geometric complexity of treating multiple targets off-axis (ie, away from the linac isocenter). Recommended guidelines for isocenter variation and MLC position for SRS are ±1 mm (2-mm diameter) and 1 mm, respectively95; however, there is a lack of guidelines for off-axis delivery.96 Several studies have indicated that a substantial portion of a small (<1 cm) target can be missed for part of an MLC-defined delivery if treating >3 cm off-axis, where there are limited methods for QA of single-isocenter linac-based techniques.96,97 Furthermore, there are known concerns regarding the risk of geographical miss of small targets away from the isocenter due to uncorrected rotational errors.98 As previously mentioned, a common strategy to minimize risk of geographical miss (as well as improve dosimetric accuracy) is to use a 1- to 2-mm PTV margin, which will result in more healthy tissue irradiated and an increased risk of necrosis.99,100 Margins larger than 2 mm may ensure that the target receives the intended dose, and have been used in the setting of small targets to reach a minimal field size when using MLC-based single fraction SRS, but they are not recommended from the point of view of toxicity.100 The treatment of multiple metastases with a single isocenter is a relatively new technique for which clinical trial outcomes are yet unknown, emphasizing the importance of robust dosimetric and mechanical QA while standards and guidelines are being developed.

Whether one system confers a dosimetric advantage over another is a complex issue and the literature consists of varied metrics and nomenclature, making it difficult to draw definitive conclusions. For example, a user should be mindful of fundamental differences in applying peripheral isodose volumes such as V12Gy versus relative dose gradient metrics such as the GI in comparing and determining dose fall-off characteristics across different apparatuses, since V12Gy is also highly dependent on the prescribed dose. Additionally, most metrics, including GI, V12Gy, and conformity index (CI), are dependent on target volume. For CI, this is in part due to dose-grid resolution issues and partial volume effects.101,102 Thus any reported difference between modalities should be in the context of the existing variations and dependencies of metrics on target volume. Furthermore, dose fall-off depends on the study and on which isodose line is being interrogated. For example, V12Gy is lower for GK than VMAT in certain studies,61,66 while in other studies GK has lower V3Gy-V6Gy but higher V12Gy.67,68

To highlight these trends and present some challenges for intermodality comparisons, we present a complex and multitarget case in Fig. 5, involving 9 large brain metastases (range: 1.7 cm3 to 10.2 cm3, total target volume = 40 cm3) with a further challenge given that one of the targets was abutting the brainstem. In this example, both plans were considered clinically acceptable. The ranges of prescription/planned isodose levels were similar for GK and VMAT: 52%–54% and 54%–62%, respectively. The maximum dose of any target is indicated in Fig. 5 itself (33.4 Gy and 34.9 Gy for VMAT and GK, respectively). On average, VMAT yielded slightly higher conformality and a slightly lower V12Gy and prescription isodose volume (PIV) than GK. However, V10Gy down to V5Gy was all lower for GK relative to VMAT, as was the case in Fig. 4. In general, GK tends to yield tighter distributions at lower-intermediate isodose lines (V3Gy to V10Gy), despite having slightly elevated PIV compared with VMAT. The fractional normal brain volume receiving 3 Gy was 80% and 95% for GK and VMAT, respectively; and for 5 Gy, 38% and 61%, respectively. Thus even for this complex case of 9 large targets, an ablative dose is delivered to each tumor with a normal brain dose that is less than a single fraction of WBRT, with better low-dose sparing in the case of GK. Also note that both cases were planned to the same target volume, even though clinically a 1- to 2-mm margin may be added to targets for linac-based MLC treatments as discussed above, which would result in a substantially elevated V12Gy for the VMAT delivery. However, this was done intentionally in this exercise in order to highlight dosimetric differences intrinsic to the modalities. On the other hand, the treatment times for VMAT for multiple metastases are substantially shorter than for PFX, as shown in Fig. 5.

Sample dose distribution for a 9-target case shown in axial view (2 separate slices). Blue colorwash = target volume; orange colorwash = brainstem. Isodose lines: gray = 28 Gy, red = 18 Gy (prescribed dose); green = 12 Gy; blue = 9 Gy; pink = 5 Gy. VMAT was planned using 4 arcs RapidArc on a Varian linac with HD 120 MLC.
Fig. 5

Sample dose distribution for a 9-target case shown in axial view (2 separate slices). Blue colorwash = target volume; orange colorwash = brainstem. Isodose lines: gray = 28 Gy, red = 18 Gy (prescribed dose); green = 12 Gy; blue = 9 Gy; pink = 5 Gy. VMAT was planned using 4 arcs RapidArc on a Varian linac with HD 120 MLC.

Some limitations in the literature, regarding multitarget planning, include small patient sample sizes and retrospective replanning of cases, which can both lead to biased results. Furthermore, differences in target coverage, conformality, and PIV between modalities can raise concerns about whether the dose fall-off is intrinsic to the technique, even for ideal plans, or a by-product of suboptimal plan quality in one technique or another. After accounting for target volume, further differences in dose fall-off can be realized through differences in clinical practice and technique.103–105 For example, allowing multiple non-coplanar arcs with heavy beam modulation and being willing to allow hotspots in the target in excess of 150% of the prescription may produce more rapid dose fall-off than a single arc with limited modulation and a target hotspot of <120%. Furthermore, GK is planned and prescribed fundamentally differently than VMAT, and it is not surprising that there is variability in the literature regarding dose fall-off due to planning practice differences.

In conclusion, the dose fall-off resulting from treating multiple targets is a complex matter involving dose-interplay effects, target heterogeneity, planning, and delivery methodology. Although dosimetric differences have been observed that may favor one technology over another, there are no clinical data to support superiority of one system over another.

Conclusion and Future Directions

At present there are no randomized trials evaluating the role of SRS in patients with multiple (>4) brain metastases. However, there are 3 registered phase III trials randomizing patients to WBRT alone or SRS alone specific to patients with more than 4 metastases. Although the North American Gamma Knife Consortium trial (NAGKC 12-01 [NCT01731704]) was intended to enroll patients with 5 or more brain metastases with a maximum total tumor volume ≤15 cc, this trial closed before completing accrual due to logistical issues, and it is uncertain whether the trial will reopen to accrual. The primary endpoint was cognitive function at 6 months, with cognitive function assessed with an online module. Another randomized phase III trial (NCT01592968) is currently accruing at the MD Anderson Cancer Center. The trial is randomizing patients with 4–15 brain metastases to SRS alone versus WBRT alone. The primary endpoints are local tumor control at 4 months and cognitive function at 4 months as measured by the Hopkins Verbal Learning Test–Revised. A third similar randomized trial (NCT02353000) is enrolling patients with 4–10 brain metastases in the Netherlands with a primary endpoint of QoL.

With the concern that WBRT alone does not yield sufficient local control, the Sunnybrook Odette Cancer Centre (University of Toronto) is in the process of finalizing its randomized phase III trial specific to patients with 5 to 20 brain metastases. The intent of this study is to treat all patients with SRS and randomize to no WBRT versus adjuvant WBRT. The primary outcome in this study is neurocognitive decline at 2 months as measured by the Hopkins Verbal Learning Test–Revised.

With the technical advances in radiation oncology advancing at a pace that surpasses the clinical evidence, the importance of high quality level 1 evidence to better define the role of SRS and WBRT in patients with multiple brain metastases cannot be underscored. If these trials are successful, our community will be able to educate the decision making for our patients, as patients with multiple brain metastases are increasing not only in number but also in complexity.

Disclosure. Dr Arjun Sahgal has received honoraria for past educational seminars from Medtronic, Elekta AB, Accuray Inc, and Varian Medical Systems and research grants from Elekta AB. Dr Sahgal also belongs to the Elekta MR Linac Research Consortium. Dr Wilko Verbakel has received an honorarium and travel expenses from Varian Medical Systems and institutional research grants from Varian Medical Systems. This work had no other funding sources.

References

1.

Sahgal
A
.
Point/counterpoint: stereotactic radiosurgery without whole-brain radiation for patients with a limited number of brain metastases: the current standard of care?
Neuro Oncol
.
2015
;
17
(
7
):
916
918
.

2.

Mehta
MP
.
The controversy surrounding the use of whole-brain radiotherapy in brain metastases patients
.
Neuro Oncol
.
2015
;
17
(
7
):
919
923
.

3.

Tsao
M
Xu
W
Sahgal
A
.
A meta-analysis evaluating stereotactic radiosurgery, whole-brain radiotherapy, or both for patients presenting with a limited number of brain metastases
.
Cancer
.
2012
;
118
(
9
):
2486
2493
.

4.

Tsao
MN
Lloyd
N
Wong
RK
et al. .
Whole brain radiotherapy for the treatment of newly diagnosed multiple brain metastases
.
Cochrane Database Syst Rev
.
2012
;
4
:
CD003869
.

5.

Patchell
RA
Tibbs
PA
Walsh
JW
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
.

6.

Patchell
RA
Tibbs
PA
Regine
WF
et al. .
Postoperative radiotherapy in the treatment of single metastases to the brain: a randomized trial
.
JAMA
.
1998
;
280
(
17
):
1485
1489
.

7.

Soliman
H
Das
S
Larson
DA
Sahgal
A
.
Stereotactic radiosurgery (SRS) in the modern management of patients with brain metastases
.
Oncotarget
.
2016
;
7
(
11
):
12318
12330
.

8.

Andrews
DW
Scott
CB
Sperduto
PW
et al. .
Whole brain radiation therapy with or without stereotactic radiosurgery boost for patients with one to three brain metastases: phase III results of the RTOG 9508 randomised trial
.
Lancet
.
2004
;
363
(
9422
):
1665
1672
.

9.

Sperduto
PW
Shanley
R
Luo
X
et al. .
Secondary analysis of RTOG 9508, a phase 3 randomized trial of whole-brain radiation therapy versus WBRT plus stereotactic radiosurgery in patients with 1-3 brain metastases; poststratified by the graded prognostic assessment (GPA)
.
Int J Radiat Oncol Biol Phys
.
2014
;
90
(
3
):
526
531
.

10.

Halasz
LM
Uno
H
Hughes
M
et al. .
Comparative effectiveness of stereotactic radiosurgery versus whole-brain radiation therapy for patients with brain metastases from breast or non-small cell lung cancer
.
Cancer
.
2016
;
122
(
13
):
2091
2100
.

11.

Brown
PD
Jaeckle
K
Ballman
KV
et al. .
Effect of radiosurgery alone vs radiosurgery with whole brain radiation therapy on cognitive function in patients with 1 to 3 brain metastases: a randomized clinical trial
.
JAMA
.
2016
;
316
(
4
):
401
409
.

12.

Chang
EL
Wefel
JS
Hess
KR
et al. .
Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial
.
Lancet Oncol
.
2009
;
10
(
11
):
1037
1044
.

13.

Aoyama
H
Shirato
H
Tago
M
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
2491
.

14.

Kocher
M
Soffietti
R
Abacioglu
U
et al. .
Adjuvant whole-brain radiotherapy versus observation after radiosurgery or surgical resection of one to three cerebral metastases: results of the EORTC 22952–26001 study
.
J Clin Oncol
.
2011
;
29
(
2
):
134
141
.

15.

Aoyama
H
Tago
M
Kato
N
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
1395
.

16.

Lin
NU
Lee
EQ
Aoyama
H
et al. .;
Response Assessment in Neuro-Oncology (RANO) group
.
Response assessment criteria for brain metastases: proposal from the RANO group
.
Lancet Oncol
.
2015
;
16
(
6
):
e270
e278
.

17.

Sahgal
A
Aoyama
H
Kocher
M
et al. .
Phase 3 trials of stereotactic radiosurgery with or without whole-brain radiation therapy for 1 to 4 brain metastases: individual patient data meta-analysis
.
Int J Radiat Oncol Biol Phys
.
2015
;
91
(
4
):
710
717
.

18.

Soffietti
R
Kocher
M
Abacioglu
UM
et al. .
A European Organisation for Research and Treatment of Cancer phase III trial of adjuvant whole-brain radiotherapy versus observation in patients with one to three brain metastases from solid tumors after surgical resection or radiosurgery: quality-of-life results
.
J Clin Oncol
.
2013
;
31
(
1
):
65
72
.

20.

Nabors
LB
Portnow
J
Ammirati
M
et al. .
Central nervous system cancers, version 2.2014. Featured updates to the NCCN Guidelines
.
J Natl Compr Canc Netw
.
2014
;
12
(
11
):
1517
1523
.

21.

Sahgal
A
Larson
D
Knisely
J
.
Stereotactic radiosurgery alone for brain metastases
.
Lancet Oncol
.
2015
;
16
(
3
):
249
250
.

22.

Yamamoto
M
Serizawa
T
Shuto
T
et al. .
Stereotactic radiosurgery for patients with multiple brain metastases (JLGK0901): a multi-institutional prospective observational study
.
Lancet Oncol
.
2014
;
15
(
4
):
387
395
.

23.

Salvetti
DJ
Nagaraja
TG
McNeill
IT
Xu
Z
Sheehan
J
.
Gamma Knife surgery for the treatment of 5 to 15 metastases to the brain: clinical article
.
J Neurosurg
.
2013
;
118
(
6
):
1250
1257
.

24.

Rava
P
Leonard
K
Sioshansi
S
et al. .
Survival among patients with 10 or more brain metastases treated with stereotactic radiosurgery
.
J Neurosurg
.
2013
;
119
(
2
):
457
462
.

25.

Mohammadi
AM
Recinos
PF
Barnett
GH
et al. .
Role of Gamma Knife surgery in patients with 5 or more brain metastases
.
J Neurosurg
.
2012
;
117
:
5
12
.

26.

Grandhi
R
Kondziolka
D
Panczykowski
D
et al. .
Stereotactic radiosurgery using the Leksell Gamma knife perfexion unit in the management of patients with 10 or more brain metastases
.
J Neurosurg
.
2012
;
117
(
2
):
237
245
.

27.

Lee
CK
Lee
SR
Cho
JM
Yang
KA
Kim
SH
.
Therapeutic effect of gamma knife radiosurgery for multiple brain metastases
.
J Korean Neurosurg Soc
.
2011
;
50
(
3
):
179
184
.

28.

Chang
WS
Kim
HY
Chang
JW
Park
YG
Chang
JH
.
Analysis of radiosurgical results in patients with brain metastases according to the number of brain lesions: is stereotactic radiosurgery effective for multiple brain metastases?
J Neurosurg
.
2010
;
113
:
73
78
.

29.

Kim
CH
Im
YS
Nam
DH
Park
K
Kim
JH
Lee
JI
.
Gamma knife radiosurgery for ten or more brain metastases
.
J Korean Neurosurg Soc
.
2008
;
44
(
6
):
358
363
.

30.

Bhatnagar
AK
Flickinger
JC
Kondziolka
D
Lunsford
LD
.
Stereotactic radiosurgery for four or more intracranial metastases
.
Int J Radiat Oncol Biol Phys
.
2006
;
64
(
3
):
898
903
.

31.

Nam
TK
Lee
JI
Jung
YJ
et al. .
Gamma knife surgery for brain metastases in patients harboring four or more lesions: survival and prognostic factors
.
J Neurosurg
.
2005
;
102
Suppl
:
147
150
.

32.

Chao
ST
Barnett
GH
Vogelbaum
MA
et al. .
Salvage stereotactic radiosurgery effectively treats recurrences from whole-brain radiation therapy
.
Cancer
.
2008
;
113
(
8
):
2198
2204
.

33.

Follwell
MJ
Khu
KJ
Cheng
L
et al. .
Volume specific response criteria for brain metastases following salvage stereotactic radiosurgery and associated predictors of response
.
Acta Oncol
.
2012
;
51
(
5
):
629
635
.

34.

Vogelbaum
MA
Angelov
L
Lee
SY
Li
L
Barnett
GH
Suh
JH
.
Local control of brain metastases by stereotactic radiosurgery in relation to dose to the tumor margin
.
J Neurosurg
.
2006
;
104
(
6
):
907
912
.

35.

Amendola
BE
Wolf
A
Coy
S
Amendola
MA
.
Radiosurgery as palliation for brain metastases: a retrospective review of 72 patients harboring multiple lesions at presentation
.
J Neurosurg
.
2002
;
97
(
5 Suppl
):
511
514
.

36.

Yamamoto
M
Kawabe
T
Sato
Y
et al. .
A case-matched study of stereotactic radiosurgery for patients with multiple brain metastases: comparing treatment results for 1–4 vs ≥5 tumors: clinical article
.
J Neurosurg
.
2013
;
118
(
6
):
1258
1268
.

37.

Lindquist
C
Paddick
I
.
The Leksell Gamma knife perfexion and comparisons with its predecessors
.
Neurosurgery
.
2008
;
62
Suppl 2
:
721
732
.

38.

Regis
J
Tamura
M
Guillot
C
et al. .
Radiosurgery with the world’s first fully robotized Leksell Gamma knife perfexion in clinical use: a 200-patient prospective, randomized, controlled comparison with the Gamma Knife 4C
.
Neurosurgery
.
2009
;
64
(
2
):
346
355
; discussion 355–346.

39.

Bhatnagar
JP
Novotny
J
Jr
Huq
MS
.
Dosimetric characteristics and quality control tests for the collimator sectors of the Leksell Gamma Knife(®) Perfexion™
.
Med Phys
.
2012
;
39
(
1
):
231
236
.

40.

Tuleasca
C
Leroy
HA
Régis
J
Levivier
M
.
Gamma Knife radiosurgery for cervical spine lesions: expanding the indications in the new era of Icon
.
Acta Neurochir (Wien)
.
2016
;
158
(
11
):
2235
2236
.

41.

Ma
L
Kjäll
P
Novotny
J
Nordström
H
Johansson
J
Verhey
L
.
A simple and effective method for validation and measurement of collimator output factors for Leksell Gamma knife perfexion
.
Phys Med Biol
.
2009
;
54
(
12
):
3897
3907
.

42.

Benmakhlouf
H
Johansson
J
Paddick
I
Andreo
P
.
Monte Carlo calculated and experimentally determined output correction factors for small field detectors in Leksell Gamma knife perfexion beams
.
Phys Med Biol
.
2015
;
60
(
10
):
3959
3973
.

43.

Pappas
EP
Moutsatsos
A
Pantelis
E
et al. .
On the development of a comprehensive MC simulation model for the Gamma knife perfexion radiosurgery unit
.
Phys Med Biol
.
2016
;
61
(
3
):
1182
1203
.

44.

Yuan
J
Lo
SS
Zheng
Y
et al. .
Development of a Monte Carlo model for treatment planning dose verification of the Leksell Gamma knife perfexion radiosurgery system
.
J Appl Clin Med Phys
.
2016
;
17
(
4
):
6196
.

45.

Régis
J
Tuleasca
C
Resseguier
N
et al. .
Long-term safety and efficacy of Gamma knife surgery in classical trigeminal neuralgia: a 497-patient historical cohort study
.
J Neurosurg
.
2016
;
124
(
4
):
1079
1087
.

46.

Witjas
T
Carron
R
Krack
P
et al. .
A prospective single-blind study of Gamma Knife thalamotomy for tremor
.
Neurology
.
2015
;
85
(
18
):
1562
1568
.

47.

Yu
C
Main
W
Taylor
D
Kuduvalli
G
Apuzzo
ML
Adler
JR
Jr
.
An anthropomorphic phantom study of the accuracy of Cyberknife spinal radiosurgery
.
Neurosurgery
.
2004
;
55
(
5
):
1138
1149
.

48.

Sahgal
A
Ma
L
Chang
E
et al. .
Advances in technology for intracranial stereotactic radiosurgery
.
Technol Cancer Res Treat
.
2009
;
8
(
4
):
271
280
.

49.

Adler
JR
Jr
Bower
R
Gupta
G
et al. .
Nonisocentric radiosurgical rhizotomy for trigeminal neuralgia
.
Neurosurgery
.
2009
;
64
(
2 Suppl
):
A84
A90
.

50.

Fürweger
C
Prins
P
Coskan
H
Heijmen
BJ
.
Characteristics and performance of the first commercial multileaf collimator for a robotic radiosurgery system
.
Med Phys
.
2016
;
43
(
5
):
2063
.

51.

Ling
CC
Zhang
P
Archambault
Y
Bocanek
J
Tang
G
Losasso
T
.
Commissioning and quality assurance of RapidArc radiotherapy delivery system
.
Int J Radiat Oncol Biol Phys
.
2008
;
72
(
2
):
575
581
.

52.

Ling
C
Zhang
P
Etmektzoglou
T
et al. .
Acquisition of MV-scatter-free kilovoltage CBCT images during RapidArc™ or VMAT
.
Radiother Oncol
.
2011
;
100
(
1
):
145
149
.

53.

Francescon
P
Beddar
S
Satariano
N
Das
IJ
.
Variation of kQclin,Qmsr (fclin,fmsr) for the small-field dosimetric parameters percentage depth dose, tissue-maximum ratio, and off-axis ratio
.
Med Phys
.
2014
;
41
(
10
):
101708
.

54.

Ma
L
Sahgal
A
Descovich
M
et al. .
Equivalence in dose fall-off for isocentric and nonisocentric intracranial treatment modalities and its impact on dose fractionation schemes
.
Int J Radiat Oncol Biol Phys
.
2010
;
76
(
3
):
943
948
.

55.

Novotny
J
Bhatnagar
JP
Niranjan
A
et al. .
Dosimetric comparison of the Leksell Gamma knife perfexion and 4C
.
J Neurosurg
.
2008
;
109
:
8
14
.

56.

Pantelis
E
Antypas
C
Petrokokkinos
L
et al. .
Dosimetric characterization of CyberKnife radiosurgical photon beams using polymer gels
.
Med Phys
.
2008
;
35
(
6
):
2312
2320
.

57.

Wu
QJ
Wang
Z
Kirkpatrick
JP
et al. .
Impact of collimator leaf width and treatment technique on stereotactic radiosurgery and radiotherapy plans for intra- and extracranial lesions
.
Radiat Oncol
.
2009
;
4
:
3
.

58.

Fix
MK
Volken
W
Frei
D
Frauchiger
D
Born
EJ
Manser
P
.
Monte Carlo implementation, validation, and characterization of a 120 leaf MLC
.
Med Phys
.
2011
;
38
(
10
):
5311
5320
.

59.

Ma
L
Nichol
A
Hossain
S
et al. .
Variable dose interplay effects across radiosurgical apparatus in treating multiple brain metastases
.
Int J Comput Assist Radiol Surg
.
2014
;
9
(
6
):
1079
1086
.

60.

Kang
J
Ford
EC
Smith
K
Wong
J
McNutt
TR
.
A method for optimizing LINAC treatment geometry for volumetric modulated arc therapy of multiple brain metastases
.
Med Phys
.
2010
;
37
(
8
):
4146
4154
.

61.

Hossain
S
Keeling
V
Hildebrand
K
et al. .
Normal brain sparing with increasing number of beams and isocenters in volumetric-modulated arc beam radiosurgery of multiple brain metastases
.
Technol Cancer Res Treat
.
2016
;
15
(
6
):
766
771
.

62.

Blonigen
BJ
Steinmetz
RD
Levin
L
Lamba
MA
Warnick
RE
Breneman
JC
.
Irradiated volume as a predictor of brain radionecrosis after linear accelerator stereotactic radiosurgery
.
Int J Radiat Oncol Biol Phys
.
2010
;
77
(
4
):
996
1001
.

63.

Nakamura
JL
Verhey
LJ
Smith
V
et al. .
Dose conformity of gamma knife radiosurgery and risk factors for complications
.
Int J Radiat Oncol Biol Phys
.
2001
;
51
(
5
):
1313
1319
.

64.

Valéry
CA
Cornu
P
Noël
G
et al. .
Predictive factors of radiation necrosis after radiosurgery for cerebral metastases
.
Stereotact Funct Neurosurg
.
2003
;
81
(
1-4
):
115
119
.

65.

Ma
L
Petti
P
Wang
B
et al. .
Apparatus dependence of normal brain tissue dose in stereotactic radiosurgery for multiple brain metastases
.
J Neurosurg
.
2011
;
114
(
6
):
1580
1584
.

66.

Ma
L
Nichol
A
Hossain
S
et al. .
Variable dose interplay effects across radiosurgical apparatus in treating multiple brain metastases
.
Int J Comput Assist Radiol Surg
.
2014
;
9
(
6
):
1079
1086
.

67.

Thomas
EM
Popple
RA
Wu
X
et al. .
Comparison of plan quality and delivery time between volumetric arc therapy (RapidArc) and Gamma Knife radiosurgery for multiple cranial metastases
.
Neurosurgery
.
2014
;
75
(
4
):
409
417
; discussion 417–418.

68.

Liu
H
Andrews
DW
Evans
JJ
et al. .
Plan quality and treatment efficiency for radiosurgery to multiple brain metastases: non-coplanar rapidArc vs. Gamma knife
.
Front Oncol
.
2016
;
6
:
26
.

69.

Huang
Y
Chin
K
Robbins
JR
et al. .
Radiosurgery of multiple brain metastases with single-isocenter dynamic conformal arcs (SIDCA)
.
Radiother Oncol
.
2014
;
112
(
1
):
128
132
.

70.

Roa
DE
Schiffner
DC
Zhang
J
et al. .
The use of RapidArc volumetric-modulated arc therapy to deliver stereotactic radiosurgery and stereotactic body radiotherapy to intracranial and extracranial targets
.
Med Dosim
.
2012
;
37
(
3
):
257
264
.

71.

Abacioglu
U
Ozen
Z
Yilmaz
M
et al. .
Critical appraisal of RapidArc radiosurgery with flattening filter free photon beams for benign brain lesions in comparison to GammaKnife: a treatment planning study
.
Radiat Oncol
.
2014
;
9
:
119
.

72.

Lagerwaard
FJ
van der Hoorn
EA
Verbakel
WF
Haasbeek
CJ
Slotman
BJ
Senan
S
.
Whole-brain radiotherapy with simultaneous integrated boost to multiple brain metastases using volumetric modulated arc therapy
.
Int J Radiat Oncol Biol Phys
.
2009
;
75
(
1
):
253
259
.

73.

Iwai
Y
Ozawa
S
Ageishi
T
Pellegrini
R
Yoda
K
.
Feasibility of single-isocenter, multi-arc non-coplanar volumetric modulated arc therapy for multiple brain tumors using a linear accelerator with a 160-leaf multileaf collimator: a phantom study
.
J Radiat Res
.
2014
;
55
(
5
):
1015
1020
.

74.

Audet
C
Poffenbarger
BA
Chang
P
et al. .
Evaluation of volumetric modulated arc therapy for cranial radiosurgery using multiple noncoplanar arcs
.
Med Phys
.
2011
;
38
(
11
):
5863
5872
.

75.

Mayo
CS
Ding
L
Addesa
A
Kadish
S
Fitzgerald
TJ
Moser
R
.
Initial experience with volumetric IMRT (RapidArc) for intracranial stereotactic radiosurgery
.
Int J Radiat Oncol Biol Phys
.
2010
;
78
(
5
):
1457
1466
.

76.

Sánchez-Doblado
F
Hartmann
GH
Pena
J
Roselló
JV
Russiello
G
Gonzalez-Castaño
DM
.
A new method for output factor determination in MLC shaped narrow beams
.
Phys Med
.
2007
;
23
(
2
):
58
66
.

77.

Klein
DM
Tailor
RC
Archambault
L
Wang
L
Therriault-Proulx
F
Beddar
AS
.
Measuring output factors of small fields formed by collimator jaws and multileaf collimator using plastic scintillation detectors
.
Med Phys
.
2010
;
37
(
10
):
5541
5549
.

78.

Fog
LS
Rasmussen
JF
Aznar
M
et al. .
A closer look at RapidArc® radiosurgery plans using very small fields
.
Phys Med Biol
.
2011
;
56
(
6
):
1853
1863
.

79.

Novotny
J
Jr
Bhatnagar
JP
Quader
MA
Bednarz
G
Lunsford
LD
Huq
MS
.
Measurement of relative output factors for the 8 and 4 mm collimators of Leksell Gamma knife perfexion by film dosimetry
.
Med Phys
.
2009
;
36
(
5
):
1768
1774
.

80.

Bhatnagar
JP
Novotny
J
Jr
Huq
MS
.
Dosimetric characteristics and quality control tests for the collimator sectors of the Leksell Gamma Knife(®) Perfexion™
.
Med Phys
.
2012
;
39
(
1
):
231
236
.

81.

Battistoni
G
Cappucci
F
Bertolino
N
Brambilla
MG
Mainardi
HS
Torresin
A
.
FLUKA Monte Carlo simulation for the Leksell Gamma knife perfexion radiosurgery system: homogeneous media
.
Phys Med
.
2013
;
29
(
6
):
656
661
.

82.

Pipek
J
Novotný
J
Novotný
J
Kozubíková
P
.
A modular Geant4 model of Leksell Gamma knife perfexion™
.
Phys Med Biol
.
2014
;
59
(
24
):
7609
7623
.

83.

Mancosu
P
Reggiori
G
Stravato
A
et al. .
Evaluation of a synthetic single-crystal diamond detector for relative dosimetry on the Leksell Gamma knife perfexion radiosurgery system
.
Med Phys
.
2015
;
42
(
9
):
5035
5041
.

84.

Barrett
JC
Knill
C
.
Monte Carlo calculated correction factors for the PTW microDiamond detector in the Gamma Knife-Model C
.
Med Phys
.
2016
;
43
(
3
):
1035
1044
.

85.

Deng
J
Ma
CM
Hai
J
Nath
R
.
Commissioning 6 MV photon beams of a stereotactic radiosurgery system for Monte Carlo treatment planning
.
Med Phys
.
2003
;
30
(
12
):
3124
3134
.

86.

Yu
C
Jozsef
G
Apuzzo
ML
Petrovich
Z
.
Measurements of the relative output factors for CyberKnife collimators
.
Neurosurgery
.
2004
;
54
(
1
):
157
161
; discussion 161–152.

87.

Araki
F
.
Monte Carlo study of a Cyberknife stereotactic radiosurgery system
.
Med Phys
.
2006
;
33
(
8
):
2955
2963
.

88.

Francescon
P
Kilby
W
Satariano
N
Cora
S
.
Monte Carlo simulated correction factors for machine specific reference field dose calibration and output factor measurement using fixed and iris collimators on the CyberKnife system
.
Phys Med Biol
.
2012
;
57
(
12
):
3741
3758
.

89.

Pantelis
E
Moutsatsos
A
Zourari
K
et al. .
On the output factor measurements of the CyberKnife iris collimator small fields: experimental determination of the k(Q(clin),Q(msr)) (f(clin),f(msr)) correction factors for microchamber and diode detectors
.
Med Phys
.
2012
;
39
(
8
):
4875
4885
.

90.

Bassinet
C
Huet
C
Derreumaux
S
et al. .
Small fields output factors measurements and correction factors determination for several detectors for a CyberKnife® and linear accelerators equipped with microMLC and circular cones
.
Med Phys
.
2013
;
40
(
7
):
071725
.

91.

Francescon
P
Kilby
W
Satariano
N
.
Monte Carlo simulated correction factors for output factor measurement with the CyberKnife system-results for new detectors and correction factor dependence on measurement distance and detector orientation
.
Phys Med Biol
.
2014
;
59
(
6
):
N11
N17
.

92.

Moignier
C
Huet
C
Makovicka
L
.
Determination of the KQclinfclin,Qmsr fmsr correction factors for detectors used with an 800 MU/min CyberKnife(®) system equipped with fixed collimators and a study of detector response to small photon beams using a Monte Carlo method
.
Med Phys
.
2014
;
41
(
7
):
071702
.

93.

Masi
L
Russo
S
Francescon
P
et al. .
CyberKnife beam output factor measurements: a multi-site and multi-detector study
.
Phys Med
.
2016
;
32
(
12
):
1637
1643
.

94.

Russo
S
Masi
L
Francescon
P
et al. .
Multicenter evaluation of a synthetic single-crystal diamond detector for CyberKnife small field size output factors
.
Phys Med
.
2016
;
32
(
4
):
575
581
.

95.

Klein
EE
Hanley
J
Bayouth
J
et al. .;
Task Group 142, American Association of Physicists in Medicine
.
Task Group 142 report: quality assurance of medical accelerators
.
Med Phys
.
2009
;
36
(
9
):
4197
4212
.

96.

Tominaga
H
Araki
F
Shimohigashi
Y
et al. .
Accuracy of positioning and irradiation targeting for multiple targets in intracranial image-guided radiation therapy: a phantom study
.
Phys Med Biol
.
2014
;
59
(
24
):
7753
7766
.

97.

Gao
J
Liu
X
.
Off-isocenter Winston-Lutz test for stereotactic radiosurgery/stereotactic body radiotherapy
.
Int J Med Phy, Clin Eng Radiat Oncol
.
2016
;
5
:
154
161
. doi:10.4236/ijmpcero.2016.52017.

98.

Roper
J
Chanyavanich
V
Betzel
G
Switchenko
J
Dhabaan
A
.
Single-isocenter multiple-target stereotactic radiosurgery: risk of compromised coverage
.
Int J Radiat Oncol Biol Phys
.
2015
;
93
(
3
):
540
546
.

99.

Ma
L
Sahgal
A
Larson
DA
et al. .
Impact of millimeter-level margins on peripheral normal brain sparing for gamma knife radiosurgery
.
Int J Radiat Oncol Biol Phys
.
2014
;
89
(
1
):
206
213
.

100.

Kirkpatrick
JP
Wang
Z
Sampson
JH
et al. .
Defining the optimal planning target volume in image-guided stereotactic radiosurgery of brain metastases: results of a randomized trial
.
Int J Radiat Oncol Biol Phys
.
2015
;
91
(
1
):
100
108
.

101.

Stanley
J
Breitman
K
Dunscombe
P
Spencer
DP
Lau
H
.
Evaluation of stereotactic radiosurgery conformity indices for 170 target volumes in patients with brain metastases
.
J Appl Clin Med Phys
.
2011
;
12
(
2
):
3449
.

102.

Knöös
T
Kristensen
I
Nilsson
P
.
Volumetric and dosimetric evaluation of radiation treatment plans: radiation conformity index
.
Int J Radiat Oncol Biol Phys
.
1998
;
42
(
5
):
1169
1176
.

103.

Narayanasamy
G
Smith
A
Van Meter
E
McGarry
R
Molloy
JA
.
Total target volume is a better predictor of whole brain dose from gamma stereotactic radiosurgery than the number, shape, or location of the lesions
.
Med Phys
.
2013
;
40
(
9
):
091714
.

104.

Ruschin
M
Lee
Y
Beachey
D
et al. .
Investigation of dose falloff for intact brain metastases and surgical cavities using hypofractionated volumetric modulated arc radiotherapy
.
Technol Cancer Res Treat
.
2016
;
15
(
1
):
130
138
.

105.

Bohoudi
O
Bruynzeel
AM
Lagerwaard
FJ
Cuijpers
JP
Slotman
BJ
Palacios
MA
.
Isotoxic radiosurgery planning for brain metastases
.
Radiother Oncol
.
2016
;
120
(
2
):
253
257
.

Author notes

Corresponding Author: Arjun Sahgal, MD, Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5, Canada ([email protected]).