Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 16 March 2023
Sec. Neuro-Oncology and Neurosurgical Oncology
This article is part of the Research Topic Precision Medicine Approaches in Radiotherapy and Systemic Therapy of Brain Metastases View all 10 articles

What if: A retrospective reconstruction of resection cavity stereotactic radiosurgery to mimic neoadjuvant stereotactic radiosurgery

Updated
Gueliz Acker,,*Gueliz Acker1,2,3*Marcel NachbarMarcel Nachbar3Nina SoffriedNina Soffried3Bohdan BodnarBohdan Bodnar3Anastasia JanasAnastasia Janas1Kiril KrantchevKiril Krantchev1Goda KalinauskaiteGoda Kalinauskaite3Anne KlugeAnne Kluge3David ShultzDavid Shultz4Alfredo ContiAlfredo Conti5David Kaul,David Kaul3,6Daniel ZipsDaniel Zips3Peter VajkoczyPeter Vajkoczy1Carolin SengerCarolin Senger3
  • 1Department of Neurosurgery, Charité-Universitätsmedizin Berlin (Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health), Berlin, Germany
  • 2Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Academy, Clinician Scientist Program, Berlin, Germany
  • 3Department of Radiation Oncology and Radiotherapy, Charité-Universitätsmedizin Berlin (Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health), Berlin, Germany
  • 4Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
  • 5Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - Università di Bologna, Bologna, Italy
  • 6German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany

Introduction: Neoadjuvant stereotactic radiosurgery (NaSRS) of brain metastases has gained importance, but it is not routinely performed. While awaiting the results of prospective studies, we aimed to analyze the changes in the volume of brain metastases irradiated pre- and postoperatively and the resulting dosimetric effects on normal brain tissue (NBT).

Methods: We identified patients treated with SRS at our institution to compare hypothetical preoperative gross tumor and planning target volumes (pre-GTV and pre-PTV) with original postoperative resection cavity volumes (post-GTV and post-PTV) as well as with a standardized-hypothetical PTV with 2.0 mm margin. We used Pearson correlation to assess the association between the GTV and PTV changes with the pre-GTV. A multiple linear regression analysis was established to predict the GTV change. Hypothetical planning for the selected cases was created to assess the volume effect on the NBT exposure. We performed a literature review on NaSRS and searched for ongoing prospective trials.

Results: We included 30 patients in the analysis. The pre-/post-GTV and pre-/post-PTV did not differ significantly. We observed a negative correlation between pre-GTV and GTV-change, which was also a predictor of volume change in the regression analysis, in terms of a larger volume change for a smaller pre-GTV. In total, 62.5% of cases with an enlargement greater than 5.0 cm3 were smaller tumors (pre-GTV < 15.0 cm3), whereas larger tumors greater than 25.0 cm3 showed only a decrease in post-GTV. Hypothetical planning for the selected cases to evaluate the volume effect resulted in a median NBT exposure of only 67.6% (range: 33.2–84.5%) relative to the dose received by the NBT in the postoperative SRS setting. Nine published studies and twenty ongoing studies are listed as an overview.

Conclusion: Patients with smaller brain metastases may have a higher risk of volume increase when irradiated postoperatively. Target volume delineation is of great importance because the PTV directly affects the exposure of NBT, but it is a challenge when contouring resection cavities. Further studies should identify patients at risk of relevant volume increase to be preferably treated with NaSRS in routine practice. Ongoing clinical trials will evaluate additional benefits of NaSRS.

1 Introduction

The incidence of brain metastases in patients with solid tumors is estimated to be as high as 20.0% to 30.0% and is increasing due to improvements in systemic treatments and diagnostic imaging (1, 2). Consequently, and due to better control of the primary tumor and extracranial metastases, the treatment of brain metastases is gaining importance. Surgical resection of large or symptomatic tumors is most often the first treatment step followed by irradiation, as several randomized trials have demonstrated better local control with postoperative whole brain radiation therapy (post-WBRT) or postoperative stereotactic radiosurgery (post-SRS) compared to surgery alone (35). With increasing life expectancy due to individualized treatment approaches, there is a need to prevent cognitive impairment, which is why SRS is coming to the fore as a replacement for WBRT. Subsequently, Brown et al. compared post-WBRT with post-SRS in a randomized phase III study showing a better cognition-deterioration-free survival in post-SRS cohort with comparable overall survival in both groups. However, local control rates were worse after post-SRS (6). However, this could be due to the wide dose range, which in this study design was as low as 12 Gy in a single fraction, reflecting the need for improvement in this treatment regimen. In this context, El Safie et al. performed a comparison that also included hypofractionated SRS (HF-SRS) and found a 12-month local control rate of 94.9% for SRS/HF-SRS versus 81.7% for WBRT (7). A previous study from Patel et al. also presented 1-year local control (LC) 83% for SRS including single and HF-SRS vs. 74% for WBRT (8). Kepka et al. performed a randomized trial on this, but failed to demonstrate the non-inferiority of SRS to WBRT in terms of local control most likely due to underpowering (9). Taken together, further randomized trials are warranted including HF-SRS instead of using too low single doses.

In addition to the dose scheme issue that has to be further optimized, one further important limitation of post-SRS is probably the uncertainty of target delineation, as evidenced by the wide range of contours for ill-defined resection cavities in the contouring guidelines (10). This was also reflected in the comparative simulation study of Vellayappan et al. with high interobserver variability in resection cavity target delineation (11). Therefore, the usual practice to expand the margins, in addition to the resection cavity and to cover the surgical tracts and meninges along the bone flap, may result in larger volumes than the metastases themselves, exposing more normal brain tissue (NBT) to radiation (10, 12). Another potential pitfall of post-SRS is leptomeningeal disease (LMD), which has been reported to account for up to 35% (13, 14). Reported risk factors for LMD include primary tumor entities of the intracranial metastasis (1518), number of intracranial lesions (13, 16, 17, 19), prior resection of an intracranial lesion (1820), no additional immunotherapy (20, 21) and hemorrhagic or cystic features of the lesion (17), although the results of univariate and multivariate analysis vary amongst these papers. Importantly, Foreman et al. reported that they found no significant differences in LMD rates after SRS and HF-SRS (13). If we look at the above-mentioned comparative studies, Patel et al. reported WBRT to be associated with a significantly lower rate of LMD occurrence compared to SRS alone (18-month LMD 13% vs. 31%, log-rank P = 0.045); however, they did not assess the influence of SRS and HF-SRS (8).

In view of the disadvantages presented and with the aim of improving local control, neoadjuvant radiosurgical treatment (NaSRS) of intact brain metastases is currently attracting increasing attention. To date, there are nine published studies that have evaluated the efficacy of NaSRS with encouraging results, however, they are mainly retrospective in design (Table 1) (19, 2227, 29, 30). Although a possible reduction in target volume and better sparing of healthy brain tissue have been frequently proposed as potential advantages of NaSRS, no detailed analysis of these benefits has been published. For instance, Udovicich et al. demonstrated a larger target volume after resection in a representative case (29), whereas Vellayappan et al. could not confirm a smaller volume preoperatively in a small cohort of ten patients after simulation of a NaSRS treatment (11). Atalar et al. reported that resection cavities were smaller than the target volume before resection in most cases, but without considering the recommended margin of 2 to 3 mm for planning target volume (PTV) (31, 32). In this regard, a very recent study by Bugarini et al. observed a tendency for larger postoperative PTV compared to preoperative PTV in their cohort (33). Given the partly inconsistent results, the benefit of NaSRS in terms of volume reduction and consequent better protection of normal brain tissue requires further investigation. The aim of this study is to 1) compare the gross tumor volume and planning target volume of preoperative metastasis with the postoperative cavity volumes in adjuvant SRS patients, 2) identify the patient cohort with a potential volume benefit in NaSRS, and finally, 3) investigate the impact of NaSRS on NBT sparing for cases where a volume reduction is observed.

TABLE 1
www.frontiersin.org

Table 1 Published studies on neoadjuvant SRS.

2 Methods

2.1 Patient cohort

This retrospective analysis of patient data and the registry of prospective patient data collection were approved by the local ethics committee, as this cohort contains both data sets (EA1/037/20). Patients in the prospective cohort signed a consent. We identified all patients with post-SRS treatment of resection cavities from brain metastases (index lesion) between July 2011 and August 2021 at our institution. We then checked whether adequate preoperative magnetic resonance imaging (MRI) was available and set a maximum diameter of 5.0 cm as the limit for the index lesion to be suitable for NaSRS simulation (34). We excluded patients with previous SRS to the index lesion or WBRT (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1 Patients with surgically resected brain metastases who underwent postoperative stereotactic radiosurgery to the resection cavity in our department were included. One pediatric patient with neuroblastoma was excluded from the cohort. Additional exclusion criteria included: no adequate intracranial MRI before surgery, previous SRS at the index lesion or WBRT as well as a diameter of the preoperative lesion greater than 5 cm. Two patients had to be additionally excluded because their data could not be extracted from the Accuray archive. RC, resection cavity; BM, brain metastasis; SRS, stereotactic radiosurgery.

We collected data on patient characteristics regarding the primary disease, tumor location, morphology, operation technique (en bloc vs. piecemeal), and local and distant tumor control. Tumors were described as superficial or deep based on their location and classified as cystic or non-cystic depending on their morphology, as described previously (11, 35). The extent of resection was assessed when a postoperative MRI performed within 30 days after surgery was available, since an early MRI was not a routine neurosurgical procedure in the past years. Data on systemic treatments were also collected, but we limited the report to “yes” or “no” and, if yes, only the timing of treatment, as this was outside the scope of this project.

2.2 Cyberknife SRS of the resection cavities: Retrospective treatment description

The indication for post-SRS/HF-SRS treatment was decided by a multidisciplinary neuro-oncology board team including a radiation oncologist and a neurosurgeon. The Cyberknife radiosurgery treatment preparation and planning were similar to the already published algorithm of our clinic (36). Briefly, a thermoplastic mask was individually produced for each patient for treatment immobilization before contrast enhanced high-resolution thin-slice (0.75 mm) computed tomography (CT). This reference CT was co-registered to T1-weighted magnetic resonance images (MRI). Since the visible tumor in the preoperative contrast enhanced T1-weighted MRI imaging is referred to as gross tumor volume (GTV), we referred to the contour of the resection cavity as post-GTV despite the absence of tumor volume to allow for better comparability in further analyses. In case of cystic lesions, the tumor-associated cyst was included in the GTV. The post-GTV was defined as the resection cavity volume based on postoperative contrast enhanced planning CT and a co-registered T1-weighted MRI, considering the surgical pathway and meninges near the craniotomy. The post-GTV was extended by 0 to 3.0 mm at the discretion of the treating radiosurgeon to create the postoperative planning target volume (post-PTV) in this retrospective cohort (Table 2). In 9 out of 30 postoperative cavities no margin was added to post-GTV, therefore, in these cases post-GTV and post-PTV do not differ. The doses were mostly prescribed to the 80% isodose line covering the PTV (Table 2). Depending on the vicinity to the organs at risk (e.g., optic nerves, chiasm, and brainstem) and the size of the resection cavity, different dose schedules were applied. If a brain metastasis was eloquently located (e.g. in the brainstem or along the optic pathway), either a reduction of the single fraction dose or hypofractionation was performed, depending on how the dose constraints were met. Briefly, doses in the range of 15–19 Gy, 21–24 Gy, and 25–30 Gy have been applied for one, three, and five fractions, respectively (Tables 2, 3).

TABLE 2
www.frontiersin.org

Table 2 Treatment characteristics of the performed resection cavity irradiation as well as gross tumor- and planning target volumes in the hypothetical planning.

TABLE 3
www.frontiersin.org

Table 3 Patient, tumor and treatment characteristics.

The isodose volume of the normal brain tissue (NTB, excluding the PTV), circumscribed with 10.0 Gy (V10 < 10 cm3) for single fraction, 18.0 Gy (V18 < 10 cm3) for three fractions, and 28.8 Gy (V28.8 < 7 cm3) for five fractions, which were defined based on the published data on this topic, was measured and recorded in each patient as clinical routine to determine the risk of adverse effects on the surrounding healthy brain (3739). However, if the parameters defined in the internal guidelines were not applicable, i.e., due to a dose reduction to 25 Gy in 5 fractions, the evaluated parameter was adjusted individually (Table 2: Pt. number 27, Table 4: case 7, the evaluated parameter adjusted to V22.5 Gy < 10 cm³ accordingly). To protect the other organs at risk, we applied the recommended threshold doses published by Benedict et al. for SRS/HF-SRS in particular (40).

TABLE 4
www.frontiersin.org

Table 4 Simulation planning details.

The equivalent dose for 2 Gy per fraction was calculated according to the LQ-model assuming an α/β ratio 10 for tumor (EQD210) for the comparison to conventional irradiation treatment. The calculated EQD210 encompassing the PTV was 31.2–45.9 Gy for a single fraction, 29.8–36.0 Gy for three-fraction treatment, and 31.2–40.0 Gy for five-fraction SRS.

2.3 Follow-up

Radiological imaging by contrast-enhanced MRI and clinical assessment were performed every 3 months as follow-up. The latest available follow-up was included in this analysis. MRI scans were interpreted by both a radiology specialist and the radiosurgery physician to determine response to treatment. We first examined local and distant brain control. Local recurrence was defined as a new progressive nodular contrast enhancing lesion involving the resection cavity as performed in other studies (27, 29) or when a progressive residual lesion with a diameter increase by at least 20.0% was observed (41). Distant failure was defined as new brain metastasis elsewhere or as LMD on the follow-up MRI. LMD is also reported separately to differentiate these cases from the patients with only new solid lesions. The complications were recorded based on Common Terminology Criteria of Adverse Events CTCAE Version 5.0.

2.4 Simulation contouring and planning study

After co-registration of the preoperative MRI with the planning reference CT, the unresected metastasis was countered first as pre-GTV based on the contrast enhanced T1 weighted thin-sliced MRI. Clinical target volume was equal to pre-GTV. When creating the pre-PTV, a standardized margin of 1 mm was added to all metastases in accordance with hospital guidelines, which is commonly used to compensate for uncertainties (42). The post-PTV was taken from the original plans. The hypothetical preoperative volumes (pre-GTV and pre-PTV, respectively) were subsequently compared with the real postoperative irradiation volumes (post-GTV and post-PTV, respectively; Table 2). In addition, a standardized post-PTV (std. post-PTV) volume was generated with a 2 mm margin, as the latest practice guidelines from international stereotactic radiosurgery society recommend a margin of 2 to 3 mm (32), while the retrospective cohort was heterogenous in this regard. The volume changes were assessed in absolute values (cm3) and also in percentage of volume difference as described by Atalar et al. (31).

For the cases with a GTV volume increase greater or equal to 5 cm3 from the pre-GTV to the post-GTV, a retrospective simulation study was performed, identifying the potential dose sparing for normal brain tissue. One patient had to be excluded due additional multiple lesions in the treated clinical treatment plan, which strongly influence the exposure of NTB. Within this simulation, first all clinical existing patient plans on the post-PTV were newly optimized within the current available treatment planning system (Precision 3.1 software, Accuray Inc., Sunnyvale, CA, USA). In the second step, the identical plan templates were used for a new optimization on the pre-PTV with 1 mm margin to GTV, therefore, simulating the equivalent dose prescription to the pre-PTV as employed for the clinical used post-PTV treatment plan. Subsequently, to guarantee equivalent sparing of the organs at risk, the weights of conformity ensuring margins around the targets were tightened until differences in PTV coverage were within 0.2%. For the evaluation of dose distribution for both existing plans a healthy brain tissue (brain minus pre-PTV/brain minus post-PTV) was generated and the clinically employed dose-volume histogram (DVH) parameter evaluated. The relative effect of the NaSRS was evaluated in terms of the dose-specific DVH parameter ratio between simulated NaSRS and postoperative original irradiation (pre/post), whereas a value below 100% depicts a relative decrease and above 100% a relative increase of the evaluated DVH parameter.

2.5 Statistics

The data are presented as mean, standard deviation, median, and range depending on the context. As the volumes before and after GTV and PTV were not normally distributed in the Kolmogorov-Smirnov test, we performed the Wilcoxon test to compare paired data and the Mann-Whitney-U-test for unpaired data. A correlation was established between pre-GTV and changes in GTV as well as PTV volumes and a correlation analysis was also performed between the time from surgical resection to post-GTV MRI acquisition in days and GTV volume change (Pearson correlation). Progression-free survival was investigated using Kaplan-Meier analysis for local and distant control as well as LMD-free survival. Furthermore, overall survival was also calculated using Kaplan-Meier analysis based on information from the Berlin-Brandenburg tumor registry. Patients are censored when follow-up is terminated prior to an event. To identify possible predictors of post-GTV volume change, we performed a multiple linear regression analysis. We defined the dependent factor as GTV change (normally distributed) and assessed the morphologic characteristics of the tumor such as cystic/non-cystic, superficial/deep, and supratentorial/infratentorial (categorical), as well as pre-GTV volume as variables. IBM SPSS Statistic Program (Version 25.0. Armonk, NY: IBM Corp.) was used, and P ≤ 0.05 was considered as statistically significant. Prism 9 was used for the graphical representation of the collected data. Since this was only an exploratory study, no correction for multiple testing was performed.

2.6 Literature review

Since the latest reviews were not up to date, we have created an overview of published and ongoing NaSRS studies (24, 43). For the literature review the electronic database “PubMed” was consulted on the 27th of July 2022 according to PRISMA guidelines. The search included the following terms: “((neoadjuvant [MeSH Terms]) AND (radiosurgery [MeSH Terms]) AND (brain metastases [MeSH Terms])”. After excluding studies due to unrelated title/abstract and including publications from other sources, a total of 14 full-text studies were assessed for eligibility (Figure 2). We summarized 9 studies in Table 1. For the ongoing studies on NaSRS, the U.S. National Library of Medicine (clinicaltrials.gov) and the WHO Clinical Trials Registry Platform (trialsearch.who.int) databases were searched on 18th August 2022. For the U.S. National Library of Medicine, the advanced search mode was used. The following entries were applied: Condition: Brain Metastases; Intervention: (Neoadjuvant OR Preoperative) AND Radiosurgery. For the WHO Registry, the following term was used: Radiosurgery AND Brain Metastasis AND (Neoadjuvant OR preoperative). A total of 21 results were found in both databases. After accessing the results, one study was excluded because it did not include SRS as a neoadjuvant treatment (Supplementary Table 1).

FIGURE 2
www.frontiersin.org

Figure 2 Flowchart for the selection process of published studies for preoperative SRS. SRS, stereotactic radiosurgery.

3 Results

3.1 Patient cohort

We identified 30 resection cavity patients fulfilling the criteria in our retrospective cohort (Figure 1). Demographic and clinical characteristics are summarized in Table 3. Briefly, gender was evenly distributed (males 53.3%, females 46.6%), mean age was 63.1 years with a range of 32.1 to 85.7 years. The most frequent primary tumor type was lung cancer (56.7%) followed by breast cancer (13.3%), malignant melanoma, and renal cell carcinoma (RCC) with 6.7% each. Only 16.7% were infratentorial. The superficial localization was more frequent with 73.0%, while 60.0% were cystic tumors. Gross total resection was achieved in 84.6% of cases, and the piecemeal technique was most frequently used (Table 3). In 9 patients a postoperative MRI within 48 hours was available. In the cases with presumably subtotal resection the median time interval between the first MRI after resection was 26 days (range: 20-27 days).

3.2 Resection cavity SRS details and treatment response

The median time interval between surgery and SRS/HF-SRS was 37.5 days with a range of 17-57 days. In 26.6% of the cases, the treatment was performed in a single fraction as SRS with a median prescribed dose of 18.0 Gy (Tables 2, 3). In more than half (56.9%), a multi-session treatment as HF-SRS with 3 fractions was preferred, while 5 fractions were less frequent with 16.6%. For one patient the clinical treated dose was reduced to 25 Gy in 5 fractions due to additional sequentially irradiated lesions. Coverage ranged between 93.8% to 99.8%. Further treatment details are listed in Table 2. Information on systemic treatments was present in 29 patients. Additional systemic treatment with chemotherapy and/or immunotherapy and/or targeted therapies was performed in a total of 26 patients. In each 27.6% of these patients, this treatment took place before or during irradiation, in 24.1% before and after treatment. Only in three cases did the systemic treatment take place exclusively after irradiation.

A total of 27 patients were re-examined with a median follow-up time of 14.2 months (range: 2.8 to 72.7 months). Within this period, local progression occurred in five patients (18.5%), whereas distant intracranial progression occurred in 51.8% (n = 14). LMD occurred in 6 cases (22.2%), and all six patients also had lesional distant recurrences. In three cases, SRS treatment was administered, and the other three cases occurred after HF-SRS (two received three fractions and one received five fractions). The estimated rates for local progression-free survival at 6.0, 12.0, and 24.0 months were 92.7%, 88.0%, and 88.0%, respectively (Figure 3D), while the rates for distant progression-free survival at 6.0, 12.0, and 24.0 months were 67.9%, 54.3%, and 47.5%, respectively. The estimated LMD-free survival rates were accordingly 100.0%, 81.4%, and 72.4% (Figures 3A–C). The estimated median overall survival was 23.4 months (95% CI: 11.3 – 35.6). The overall survival rates at 12.0, 24.0 and 36.0 months were 69.0%, 49.3%, and 44.1%, respectively (Figure 3D). Imaging-based suspected radionecrosis was observed in two cases (7.4%). A total of five adverse effects were recorded, a local alopecia and mild headache as CTCAE grade I and moderate dizziness, aphasia, and severe headache as grade II.

FIGURE 3
www.frontiersin.org

Figure 3 Kaplan-Meier-Curves for (A) local progression-free, (B) distant progression-free, (C) leptomeningeal disease-free survival and (D) overall survival. (A) Patients at risk were n = 30 (0 months), n = 23 (6 months), n = 15 (12 months), n = 7 (24 months), and n = 3 (36 months). (B) Patients at risk were n = 30 (0 months), n = 17 (6 months), n = 10 (12 months), n = 6 (24 months), and n = 4 (36 months). (C) Patients at risk were n = 30 (0 months), n = 25 (6 months), n = 14 (12 months), n = 7 (24 months), and n = 4 (36 months). (D) The estimated median survival of our patients was 23.4 months (95% CI: 11.3 – 35.6). Patients at risk were n = 30 (0 months), n = 19 (12 months), n = 11 (24 months), n = 7 (36 months). In total, 14 events occurred within 24 months after the radiosurgical treatment, but only 4 events in the subsequent years were reported.

3.3 Comparison of volumes

The pre-GTV and pre-PTV are shown in Figures 4A–F and in Table 2 in comparison to the postoperative values. Here, we could not find any significant differences between pre- and postoperative volumes when looking at the median values (Figure 4A, P = 0.551 and B, P = 0.781), while the median of std. post-PTV tended to be higher than pre-PTV (P = 0.051). The volume change in binarized pre-GTV volumes depending on size with a cut-off at 15.0 cm3 highlighted the wider range in larger tumors, while the smaller tumors tended to have greater GTV after resection, but this did not reach significance (Figure 4C, P = 0.205). We also present the distribution of postoperative volume changes as an absolute value in cm³ compared to the original tumor size (pre-GTV) (Figures 5A, B). Remarkably, the majority of cases with enlargement greater than 5.0 cm3 were smaller tumors with pre-GTV < 15.0 cm3 (62.5% of all cases with > 5 cm3), whereas larger tumors greater than 25 cm3 showed only a decrease in post-GTV and post-PTV. For the hypothetical standardized PTV with the fixed margin of 2 mm, the difference from pre-PTV was greater for the few cases with no or less margin in the original post-PTV (Figure 5C). The correlation assessment revealed a significant negative correlation between pre-GTV volume and all three volume changes (GTV change: r: -0.558, P = 0.001, PTV change: r = -0.507, P = 0.004, hypothetical PTV change: r = -0.451, P = 0.012). As it was shown that the time after surgery may influence the size of the resection cavity (44), we analysed the volume change in GTV in relation to the time interval between surgery and MRI in our cohort. However, we could not identify a significant correlation (r: -0.091, P = 0.634, Figure 5D).

FIGURE 4
www.frontiersin.org

Figure 4 Quantification of the preoperative (pre) and postoperative (post) (A) gross tumor volume (GTV) and (B) planning target volume (PTV) including hypothetical standardized PTV with a 2 mm margin to post-GTV (n = 30; no significant differences, Wilcoxon test), (C) shows the volume change of binarized pre-GTV volumes depending on size with a cut-off of 15 cm3 (n = 22 for pre-GTV < 15.0 cm3 and n = 8 for pre-GTV > 15.0 cm3; no significant differences, Mann-Whitney-U-test.) Boxplots represent the interquartile range, the thicker line inside the boxes the median, and the whiskers indicate the range from minimum to maximum. Representative case presentations with one deep (D) one superficial (E) and one intraventricular (F) metastasis from non-small cell lung carcinoma shown in axial MRI images with contrast demonstrating comparison of GTV in red for preoperative metastases and in green for the resection cavity. In these cases, an increase in post-GTV compared with pre-GTV can be seen, which was 227.3% in (D), 86.6% in (E), and 19.3% in (F).

FIGURE 5
www.frontiersin.org

Figure 5 Plot of individual patient data (n = 30) for resection cavity volume changes compared with preoperative volumes, (A) for gross tumor volume (GTV), (B) for planning target volume (PTV), and (C) for standardized PTV, shown relative to preoperative (pre) GTV. (D) shows the volume change of the resection cavity after surgical resection in relation to the days between surgery and MRI.

3.4 Predictors for GTV change

A multiple linear regression was calculated to predict a volume change of GTV after resection. A significant regression equation was found (F (4, 25) = 3.060, P = 0.035) with an adjusted R2 = 0.221 (unadjusted R2 = 0.329). The pre-GTV size was the only significant predictor for volume change of GTV (Table 5).

TABLE 5
www.frontiersin.org

Table 5 Multiple linear regression analysis for prediction of GTV change.

3.5 Simulation planning study

We identified a total of 16 patients with post-GTV greater than pre-GTV, however, the range for the GTV change was wide, from 0.11 to 18.57 cm3; thus, we set the cut-off at 5 cm3 based on the median GTV increase of 4.3 cm3. Within the planning study for both treatment scenarios clinically applicable treatment plans could be generated for 7 identified patient cases with an increase of GTV from the pre-GTV to the post-GTV of over 5 cm³. The median annotated GTV of the primary metastasis was 8.2 cm³ with a range of 4.5–21.4 cm³. The median increase of GTV was 5.5 cm³ with a range of 5.1–18.6 cm³. In this cohort, margins for post-PTV were heterogeneous 0 to 3 mm, as in the entire cohort, however, all but one had margins of 1 to 3 mm. In the hypothetical planning NBT exposure was less in NaSRS group with a median of only 67.6% (range: 33.2–84.5%) of NBT calculated with post-PTV receiving the fractionation-specific evaluated dose. The relative NBT exposure in relation to the change in GTV volume is shown in Figure 6. Accordingly, the evaluated DVH parameter showed a median relative decrease for the analyzed brain minus PTV parameter of 32.4% with a range of 15.5–66.9% (Table 4). The analyzed Pearson correlation coefficient for the changes in volume in relation to the relative decrease of the evaluated DVH parameter presented no significant correlation (r = -0.16; P = 0.73).

FIGURE 6
www.frontiersin.org

Figure 6 Graphical representation for the seven simulated plannings, visualizing the dose-defined dose-volume histogram (DVH) parameter ratio between simulated NaSRS and postoperative original irradiation (pre/post) against the absolute difference in GTV volume. Fractionations are color coded: Single fraction in green, 3-fractions in blue, and 5-fractions in red. GTV, gross tumor volume.

4 Discussion

In this study, we show an increase in the volume of the resection cavity dependent on the initial tumor size, which may lead to higher dose exposure of the NBT in selected cases. In addition, we provide an update on published and ongoing NaSRS studies as a comprehensive overview and discuss crucial aspects for the further use of NaSRS.

Neoadjuvant SRS or so-called preoperative SRS has become a hot topic in the treatment of brain metastases requiring surgery with potential benefits such as better local control, less LMD, and more convenient target delineation. NaSRS was included in the most recent American Society of Radiation Oncology (ASTRO) 2022 guidelines with a conditional recommendation as a potential alternative to post-SRS, but the level of evidence was rated low by the endorsement panel, warranting further study on this topic (45). Table 1 lists 9 studies that have been published on NaSRS, including the most recent studies following the latest reviews (24, 43). Although the existing data are mainly from retrospective studies, they have led to the initiation of several prospective studies that are currently underway (Supplementary Table 1). Our department also takes part in a Phase II bicentric study with the University of Toronto (NCT03368625) (34). Per protocol, the diameter of the index lesion is set between 2.0 to 5.0 cm, and NaSRS administered at a single dose of 14.0 to 20.0 Gy depending on tumor volume. In example, 14 Gy was the dose regimen for tumors with a volume of ≥ 20 to < 50 cc.

However, the protocols of ongoing studies differ in terms of dosing; in particular, a dose-escalation study aims to determine the maximum tolerated dose of SRS administered before neurosurgical treatment, whereas a dose de-escalation study compares 12.0 to 15.0 Gy. In addition, there are several studies testing HF-SRS (Supplementary Table 1). Because the results of several prospective studies are still outstanding to clarify the role of NaSRS in routine clinical practice, we sought to determine its potential benefits in a matched analysis based on hypothetical planning of preoperative lesions treated after surgery in real-world settings. There are several studies that have investigated resection cavity dynamics independent of association with NaSRS, which are summarized in the review by Yuan et al. (44). Here, the authors reported that on average the resection cavities were smaller than the preoperative tumors. The most postulated predictor of greater volume depletion after surgery was larger tumor size (31, 46, 47), whereas Scharl et al. made an inverse observation (48). In our study, we found a negative correlation between pre-GTV size and resection cavity volume change, with smaller tumors leading to more changes, often an increase in post-GTV like Atalar et al. (31). Our data suggested 15.0 cm3 as a possible cut-off volume to predict a volume increase, however, this must be assessed in larger cohorts. In comparison, Atalar et al. reported that for pre-resection tumors greater than 4.2 cm3 the cavity volume was smaller than the tumor itself (31). In this context, one may ask why surgery is necessary at all for small lesions. Surgery for smaller lesions that can be treated directly with SRS is still warranted in selected cases due to severe edema, neurologic symptoms, and histologic tissue demands. Steindl et al. published recently a large series including 1608 patients with NSCLC brain metastases. Although they did not include tumor volumes in the investigation, it is of importance to note that 740 of 1107 (68.8%) patients with tumors less than 3 cm in diameter suffered from neurologic symptoms (49). In addition, the potential discordance between primary tumor and CNS metastases, as demonstrated in several publications, necessitates in selected cases a surgical tissue sampling to optimize systemic treatment (5052). Another inconsistent aspect is the resection cavity dynamics over time as shown in the above-mentioned review with different observations amongst seven studies (44). In our series, we could not find any correlation between the time interval from surgery to postoperative planning MRI and volume change consistent with Atalar et al. (31). Importantly, to exclude residual tumor after resection an early MRI must be performed within 48 hours (53). However, given that the resection cavity is a dynamic process, optimal SRS/HF-SRS planning requires the timeliest MRI possible (48, 54). However, there are no guidelines either on the optimal time interval between surgery and SRS/HF-SRS. In the latest ISRS guidelines the authors did not comment on these points (32). Yuan et al. focused on the aspect of the timing of post-SRS/HF-SRS and resection and came to the conclusion that as the initial tumor size influences cavity size, and smaller metastases may profit from a longer time interval until the postoperative radiosurgery without a particular time proposal (44). Importantly, the patients mostly need a recovery period after resection that is also needed for wound healing. A time interval of at least two weeks is reasonable to our point of view and should be limited to 6 weeks postoperatively to avoid tumor recurrence. In the consensus paper by Soliman et al., 9 of 10 participants favored post-SRS within the first 4 weeks that we also favor in the routine (10). Starting radiosurgery within 30 days was also the setting in the randomized trial by Majaharan et al. (3). This is clearly one of the treatment algorithms steps that need to be standardized in the radiosurgical society in the future.

Since we focused on the NaSRS aspect, we compared the PTVs. For post-PTV we used real world data including some older cases without an additional margin, but in our recent routine clinical practice a 2.0 mm margin is now standard, as it was in the randomized phase III trial (6). The recent proposed guidelines also recommend a margin of 2.0 to 3.0 mm for the resection cavity (32). For SRS in brain metastases GTV = CTV = PTV is suggested by the German Society for Radiooncology [Deutsche Gesselschaft für Radioonologie – DEGRO], especially with regard to frame-based SRS treatments, with the possibility of a margin of up to 2.0 mm (55). A margin of 1.0 mm should be added in view of possible infiltrative growth of brain metastases according to Baumert et al., which is our routine practice (56). In the comparative studies for pre- and postoperative tumor volumes, only a few ones included PTVs. For instance, after a 2.0 mm margin was added to pre-GTV, the volume decrease of the originally larger tumors after resection disappeared in Atalar et al. (31). El Shafie et al. compared the PTVs of a hypothetical pre-PTV with 1.0 mm margin to different postoperative scenarios with a margin up to 3.0 mm. However, the authors did not compare the original PTV of the resection cavity treated with Cyberknife SRS with the hypothetical plans using Elekta VERSA HD linear accelerator (57). In a very recent similar comparative study by Bugarini et al. PTVs were also not significantly different between pre- and post-scenarios as in our study. In our case, based on the apparent trend, there seems to be a difference between the preoperative and standardized postoperative PTV, in the sense of greater PTV postoperatively. However, our study did not have the power to determine this conclusively. Further studies with larger case series are warranted to assess this. These authors did not present a detailed volume change dependency as in our study (33).

The amount of normal brain tissue volume receiving a relevant dose is the primary important factor regarding side effects, especially radionecrosis, but with some differences in practice for reporting that require specific guidelines to standardize data in the future. The brain volume that receives 10.0 Gy and 12.0 Gy (V10 and V12) was shown to predict the radionecrosis risk (58). For example, in SRS of brain metastases, volumes greater than or equal to 10.0 cm3 irradiated with 12.0 Gy (V12) were associated with a 15.0% risk of symptomatic radionecrosis (37). In the same study, three-fraction V18 < 30.0 cm³ and V23 < 7.0 cm³ were associated with less than 10.0% risk of radionecrosis in normal brain tissue (37). Another common method of assessing NBT exposure in SRS is brain minus PTV (57, 59). Zindler et al. reported for single-, three-, and five-fraction dose–volume constraints for brain minus GTV V12 = 10.0 cm3, V19.2 = 10.0 cm3, and a V20 = 20.0 cm3, respectively (60). Brain-GTV receiving 30 Gy was identified as a significant predictor for adverse effects in the HF-SRS series of Faruqi et al. (61) In routine clinical practice for NBT we use the following constrains regarding brain minus PTV in single session SRS V10 < 10.0 cm3 and for three-fraction V18 < 10.0 cm3 to maintain a low risk of radionecrosis (3739). We investigated the potential benefit of NaSRS to reduce NBT exposure in a selected cohort. Because PTV margins were not standardized in this retrospective cohort, we selected cases with a 5.0 cm³ increase in post-GTV for further analysis to examine the effects of such volume increase on NBT exposure. In this preselected small cohort, we demonstrated less normal brain tissue receiving the evaluated DVH parameter for NaSRS (pre-PTV) with median 67.6% of the current standard (post-PTV), resulting in an advantage in normal-tissue preservation in NaSRS scenario. Since we kept the dosing regimen completely identical and based our hypothetical optimization on the clinical used constraints, this effect can clearly be attributed to a lower volume of the preoperative tumors. A similar advantage for normal tissue exposure was also presented in the above mentioned study favoring preoperative SRS, however, in this study the authors also changed the dose regimen for preoperative scenario (33). Because we wanted to evaluate only the volume effect on NBT exposure, we kept the SRS schedule completely identical and ensured with a robust template-based workflow in a stepwise procedure and equivalent coverage, an unbiased comparison between pre- and postoperative radiosurgery in the simulation.

We are aware of the bias within this planning study due to potential changes between pre-op and post-op conditions affecting optimal dose regimens and consecutively the planning constraints. However, as the optimization template was created for the clinical post-PTV scenario, a better set of planning parameters might have been possible within the hypothetical planning study, potentially further increasing NBT sparing. Additionally, as the volume increase was not present in all cases after resection, the different possible dose regimens in NaSRS should also be further compared to dose regimens in post-SRS. The comparability of our results with the study by Bugarini et al, in which the dosing regimen was adjusted for preoperative simulation, is very encouraging for NaSRS.

An important issue is the unintended residual tumor after surgical resection of brain metastases, which reached 15.8% in a recent study of 150 patients (53). Comparably, we observed 15.4% residual tumor in our series, however, with the caveat that we did not include only MRIs within 48 hours as this was a retrospective cohort that was not investigated by early MRI regularly. Since the dose regimens in the ongoing studies vary and are sometimes far below routinely applied doses such as 12.0 Gy, it is of great importance to select patients well for NaSRS. For in situ brain metastases a single dose of at least 18.0 Gy is recommended by DEGRO (55). Rosenstock et al. found that subcortical metastases located ≥ 5.0 mm from the cortex with diffuse contrast enhancement had the highest incidence of unintended subtotal resection. The proposed MRI-based assessment allows estimation of individual risk for subtotal resection and may help identify patients who are not suitable for NaSRS with regard to the risk of residual tumor (53). However, if the dose used in NaSRS was as effective as the routine doses, then the remaining tumor would not be a limitation for NaSRS. Therefore, hypofractionated NaSRS should be considered rather than dose reduction for larger tumors, which is also a topic of ongoing studies (Supplementary Table 1) and has already been shown to be eligible recently (2).

Although analysis of the efficacy of post-SRS was not the primary objective of this study, we examined it to demonstrate the representativeness of the cohort in comparison to other published post-SRS studies. The sole purpose of this analysis was to demonstrate the efficacy of the treatment used in this cohort to support the evaluation of tissue exposure in this setting. With only 30 patients with heterogeneous characteristics in terms of histology, location, volume, and systemic treatments, as well as nonstandard target margin, our data on this are less valuable than previously reported prospective studies. Because of the small total number of patients, we also did not perform subgroup analyses. Nevertheless, we evaluated the local progression-free survival, which was 88.0%, slightly better than the 12-month local control of 72.0% in Majahan et al. and 61.8% in the series by Brown et al. (3, 6). The distant progression-free survival in our cohort was also within the reported range of these studies (3, 6). At 12.0 months LMD control was reported 92.8% in Brown et al., which was lower in our series with an estimated LMD-free survival of 81.0% at 12.0 months (6). This may be due to inconsistent margins applied in this cohort or target delineation differences (11). In comparison, the review article by Redmond et al. reported a median leptomeningeal failure of 14.0%, with a range of up to 22.8%, comparable to our series also highlighting the need for NaSRS concepts in the future to reduce LMD risk (32). We do not elaborate on overall survival data because systemic treatment data are underreported, and we did not analyze additional extracranial metastases in this retrospective cohort.

The major limitation of our study is the small number of patients, which makes it difficult to establish a reliable threshold for GTV volume increase and to identify additional predictors. Nevertheless, this is the first matched Cyberknife SRS treated cohort with simulation of a theoretical plan to test irradiation exposure of NBT. The purpose of this study was to facilitate further studies and to simulate discussions in clinical routine as NaSRS is already mentioned in ASTRO guidelines as a possible intervention. Our study provides insights and awakens thoughts for NaSRS concepts. For further studies, we would recommend placing more emphasis on the aspect of sparing irradiation exposure of normal brain tissue and reevaluating dose regimens to achieve sufficient doses instead of single doses as low as 12.0 Gy. This is particularly crucial regarding radioresistant tumor histologies such as renal cell carcinoma.

In conclusion, the volume change of the resection cavity seems to be dependent on the preoperative lesion size. Dosimetric analysis favored NaSRS for normal brain tissue preservation in selected cases. Since the target volume directly affects the exposure of NBT, this should be considered when making treatment recommendations for NaSRS in smaller lesions. A reliable cut-off value for the preoperative lesion size to estimate volume benefit should be determined in a larger multicenter cohort. Ongoing studies will lead the way for further benefits of NaSRS independent of the volume effect.

Ethics statement

The studies involving human participants were reviewed and approved by Charités Ethics Committee, Berlin, Germany. The patients/participants from the prospective registery provided their written informed consent to participate in this study.

Author contributions

Conceptualization: CS and GA. Investigation, data curation: NS, BB, GK, KK, and GA. Formal analysis: AJ, NS and BB. Statistics: GA and MN. Writing—original draft preparation: CS, GA, KK, and MN. Writing—review and editing: all authors. Visualization: AK, NS, AJ. Supervision: DS, AC, DZ, PV. Project administration: GA. Revision process. All authors contributed to the article and approved the submitted version.

Acknowledgments

GA is a participant of the BIH-Charité Clinician Scientist Program funded by the Charité—Universitätsmedizin Berlin and the Berlin Institute of Health. We thank Amir Alaeddini for his support in data management. We also thank Miss M. Sc Kerstin Rubarth from the Institute of Biometry and Clinical Epidemiology for her advisory support in the statistical analyses.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1056330/full#supplementary-material

References

1. Nayak L, Lee EQ, Wen PY. Epidemiology of brain metastases. Curr Oncol Rep (2012) 14(1):48–54. doi: 10.1007/s11912-011-0203-y

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Vogelbaum MA, Brown PD, Messersmith H, Brastianos PK, Burri S, Cahill D, et al. Treatment for brain metastases: ASCO-SNO-ASTRO guideline. J Clin Oncol (2022) 40(5):492–516. doi: 10.1200/JCO.21.02314

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Mahajan A, Ahmed S, McAleer MF, Weinberg JS, Li J, Brown P, et al. Post-operative stereotactic radiosurgery versus observation for completely resected brain metastases: A single-centre, randomised, controlled, phase 3 trial. Lancet Oncol (2017) 18(8):1040–8. doi: 10.1016/S1470-2045(17)30414-X

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kocher M, Soffietti R, Abacioglu U, Villà S, Fauchon F, Baumert BG, 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):134–41. doi: 10.1200/JCO.2010.30.1655

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Patchell RA, Tibbs PA, Regine WF, Dempsey RJ, Mohiuddin M, Kryscio RJ, et al. Postoperative radiotherapy in the treatment of single metastases to the brain: a randomized trial. JAMA (1998) 280(17):1485–9. doi: 10.1001/jama.280.17.1485

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Brown PD, Ballman KV, Cerhan JH, Anderson SK, Carrero XW, Whitton AC, et al. Postoperative stereotactic radiosurgery compared with whole brain radiotherapy for resected metastatic brain disease (NCCTG N107C/CEC.3): A multicentre, randomised, controlled, phase 3 trial. Lancet Oncol (2017) 18(8):1049–60. doi: 10.1016/S1470-2045(17)30441-2

PubMed Abstract | CrossRef Full Text | Google Scholar

7. El Shafie RA, Dresel T, Weber D, Schmitt D, Lang K, Konig L, et al. Stereotactic cavity irradiation or whole-brain radiotherapy following brain metastases resection-outcome, prognostic factors, and recurrence patterns. Front Oncol (2020) 10:693. doi: 10.3389/fonc.2020.00693

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Patel KR, Prabhu RS, Kandula S, Oliver DE, Kim S, Hadjipanayis C, et al. Intracranial control and radiographic changes with adjuvant radiation therapy for resected brain metastases: Whole brain radiotherapy versus stereotactic radiosurgery alone. J Neurooncol (2014) 120(3):657–63. doi: 10.1007/s11060-014-1601-4

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Kepka L, Tyc-Szczepaniak D, Bujko K, Olszyna-Serementa M, Michalski W, Sprawka A, et al. Stereotactic radiotherapy of the tumor bed compared to whole brain radiotherapy after surgery of single brain metastasis: Results from a randomized trial. Radiother Oncol (2016) 121(2):217–24. doi: 10.1016/j.radonc.2016.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Soliman H, Ruschin M, Angelov L, Brown PD, Chiang VLS, Kirkpatrick JP, et al. Consensus contouring guidelines for postoperative completely resected cavity stereotactic radiosurgery for brain metastases. Int J Radiat Oncol Biol Phys (2018) 100(2):436–42. doi: 10.1016/j.ijrobp.2017.09.047

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Vellayappan BA, Doody J, Vandervoort E, Szanto J, Sinclair J, Caudrelier JM, et al. Pre-operative versus post-operative radiosurgery for brain metastasis: Effects on treatment volume and inter-observer variability. J Radiosurg SBRT (2018) 5(2):89–97.

PubMed Abstract | Google Scholar

12. Choi CY, Chang SD, Gibbs IC, Adler JR, Harsh GRT, Lieberson RE, et al. Stereotactic radiosurgery of the postoperative resection cavity for brain metastases: prospective evaluation of target margin on tumor control. Int J Radiat Oncol Biol Phys (2012) 84(2):336–42. doi: 10.1016/j.ijrobp.2011.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Foreman PM, Jackson BE, Singh KP, Romeo AK, Guthrie BL, Fisher WS, et al. Postoperative radiosurgery for the treatment of metastatic brain tumor: Evaluation of local failure and leptomeningeal disease. J Clin Neurosci (2018) 49:48–55. doi: 10.1016/j.jocn.2017.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Shi S, Sandhu N, Jin MC, Wang E, Jaoude JA, Schofield K, et al. Stereotactic radiosurgery for resected brain metastases: Single-institutional experience of over 500 cavities. Int J Radiat Oncol Biol Phys (2020) 106(4):764–71. doi: 10.1016/j.ijrobp.2019.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Brown DA, Lu VM, Himes BT, Burns TC, Quiñones-Hinojosa A, Chaichana KL, et al. Breast brain metastases are associated with increased risk of leptomeningeal disease after stereotactic radiosurgery: A systematic review and meta-analysis. Clin Exp Metastasis (2020) 37(2):341–52. doi: 10.1007/s10585-020-10019-1

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Huang AJ, Huang KE, Page BR, Ayala-Peacock DN, Lucas JT Jr, Lesser GJ, et al. Risk factors for leptomeningeal carcinomatosis in patients with brain metastases who have previously undergone stereotactic radiosurgery. J Neurooncol (2014) 120(1):163–9. doi: 10.1007/s11060-014-1539-6

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Press RH, Zhang C, Chowdhary M, Prabhu RS, Ferris MJ, Xu KM, et al. Hemorrhagic and cystic brain metastases are associated with an increased risk of leptomeningeal dissemination after surgical resection and adjuvant stereotactic radiosurgery. Neurosurgery (2019) 85(5):632–41. doi: 10.1093/neuros/nyy436

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Johnson MD, Avkshtol V, Baschnagel AM, Meyer K, Ye H, Grills IS, et al. Surgical resection of brain metastases and the risk of leptomeningeal recurrence in patients treated with stereotactic radiosurgery. Int J Radiat Oncol Biol Phys (2016) 94(3):537–43. doi: 10.1016/j.ijrobp.2015.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Patel KR, Burri SH, Asher AL, Crocker IR, Fraser RW, Zhang C, et al. Comparing preoperative with postoperative stereotactic radiosurgery for resectable brain metastases: A multi-institutional analysis. Neurosurgery (2016) 79(2):279–85. doi: 10.1227/NEU.0000000000001096

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Nguyen TK, Sahgal A, Detsky J, Atenafu EG, Myrehaug S, Tseng CL, et al. Predictors of leptomeningeal disease following hypofractionated stereotactic radiotherapy for intact and resected brain metastases. Neuro Oncol (2020) 22(1):84–93. doi: 10.1093/neuonc/noz144

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Minniti G, Lanzetta G, Capone L, Giraffa M, Russo I, Cicone F, et al. Leptomeningeal disease and brain control after postoperative stereotactic radiosurgery with or without immunotherapy for resected brain metastases. J Immunother Cancer (2021) 9(12):e003730. doi: 10.1136/jitc-2021-003730

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Asher AL, Burri SH, Wiggins WF, Kelly RP, Boltes MO, Mehrlich M, et al. A new treatment paradigm: Neoadjuvant radiosurgery before surgical resection of brain metastases with analysis of local tumor recurrence. Int J Radiat Oncol Biol Phys (2014) 88(4):899–906. doi: 10.1016/j.ijrobp.2013.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Patel KR, Burri SH, Boselli D, Symanowski JT, Asher AL, Sumrall A, et al. Comparing pre-operative stereotactic radiosurgery (SRS) to post-operative whole brain radiation therapy (WBRT) for resectable brain metastases: A multi-institutional analysis. J Neurooncol (2017) 131(3):611–8. doi: 10.1007/s11060-016-2334-3

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Prabhu RS, Miller KR, Asher AL, Heinzerling JH, Moeller BJ, Lankford SP, et al. Preoperative stereotactic radiosurgery before planned resection of brain metastases: Updated analysis of efficacy and toxicity of a novel treatment paradigm. J Neurosurg (2018), 131(5):1–8. doi: 10.3171/2018.7.JNS181293

CrossRef Full Text | Google Scholar

25. Patel AR, Nedzi L, Lau S, Barnett SL, Mickey BE, Moore W, et al. Neoadjuvant stereotactic radiosurgery before surgical resection of cerebral metastases. World Neurosurg (2018) 120:e480–7. doi: 10.1016/j.wneu.2018.08.107

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Vetlova E, Golbin DA, Golanov AV, Potapov AA, Banov SM, Antipina N, et al. Preoperative stereotactic radiosurgery of brain metastases: Preliminary results. Cureus (2017) 9(12):e1987. doi: 10.7759/cureus.1987

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Prabhu RS, Dhakal R, Vaslow ZK, Dan T, Mishra MV, Murphy ES, et al. Preoperative radiosurgery for resected brain metastases: The PROPS-BM multicenter cohort study. Int J Radiat Oncol Biol Phys (2021) 111(3):764–72. doi: 10.1016/j.ijrobp.2021.05.124

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Murphy ES, Yang K, Suh J, Yu J, Schilero C, Mohammadi A, et al. Early results from a prospective phase II dose escalation study for neoadjuvant radiosurgery for brain metastases. Int J Radiat Oncol Biol Phys (2019) 103(5):E5. doi: 10.1016/S0360-3016(19)30411-0

CrossRef Full Text | Google Scholar

29. Udovicich C, Ng SP, Tange D, Bailey N, Haghighi N. From postoperative to preoperative: A case series of hypofractionated and single-fraction neoadjuvant stereotactic radiosurgery for brain metastases. Oper Neurosurg (Hagerstown) (2022) 22(4):208–14. doi: 10.1227/ONS.0000000000000101

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Murphy E, Yang K, Suh J, Yu J, Schilero C, Mohammadi A, et al. Trls-05. early results from a prospective phase I/Ii dose escalation study of neoadjuvant radiosurgery for brain metastases. Neurooncol Adv (2019) 1(Suppl 1):i9. doi: 10.1093/noajnl/vdz014.038

CrossRef Full Text | Google Scholar

31. Atalar B, Choi CY, Harsh Chang GRt SD, Gibbs IC, Adler JR. Cavity volume dynamics after resection of brain metastases and timing of postresection cavity stereotactic radiosurgery. Neurosurgery (2013) 72(2):180–5; discussion 185. doi: 10.1227/NEU.0b013e31827b99f3

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Redmond KJ, De Salles AAF, Fariselli L, Levivier M, Ma L, Paddick I, et al. Stereotactic radiosurgery for postoperative metastatic surgical cavities: A critical review and international stereotactic radiosurgery society (ISRS) practice guidelines. Int J Radiat Oncol Biol Phys (2021) 111(1):68–80. doi: 10.1016/j.ijrobp.2021.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Bugarini A, Meekins E, Salazar J, Berger AL, Lacroix M, Monaco EA 3rd, et al. Pre-operative stereotactic radiosurgery for cerebral metastatic disease: A retrospective dose-volume study. Radiother Oncol (2022). doi: 10.1016/j.radonc.2022.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Takami H, Nassiri F, Moraes FY, Zadeh G, Bernstein M, Conrad T, et al. A phase II study of neoadjuvant stereotactic radiosurgery for Large brain metastases: Clinical trial protocol. Neurosurgery (2020) 87(2):403–7. doi: 10.1093/neuros/nyz442

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sun B, Huang Z, Wu S, Ding L, Shen G, Cha L, et al. Cystic brain metastasis is associated with poor prognosis in patients with advanced breast cancer. Oncotarget (2016) 7(45):74006–14. doi: 10.18632/oncotarget.12176

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Acker G, Hashemi SM, Fuellhase J, Kluge A, Conti A, Kufeld M, et al. Efficacy and safety of CyberKnife radiosurgery in elderly patients with brain metastases: a retrospective clinical evaluation. Radiat Oncol (2020) 15(1):225. doi: 10.1186/s13014-020-01655-8

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Milano MT, Grimm J, Niemierko A, Soltys SG, Moiseenko V, Redmond KJ, et al. Single- and multifraction stereotactic radiosurgery Dose/Volume tolerances of the brain. Int J Radiat Oncol Biol Phys (2021) 110(1):68–86. doi: 10.1016/j.ijrobp.2020.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Milano MT, Usuki KY, Walter KA, Clark D, Schell MC. Stereotactic radiosurgery and hypofractionated stereotactic radiotherapy: Normal tissue dose constraints of the central nervous system. Cancer Treat Rev (2011) 37(7):567–78. doi: 10.1016/j.ctrv.2011.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Minniti G, Scaringi C, Paolini S, Lanzetta G, Romano A, Cicone F, et al. Single-fraction versus multifraction (3 × 9 gy) stereotactic radiosurgery for Large (>2 cm) brain metastases: A comparative analysis of local control and risk of radiation-induced brain necrosis. Int J Radiat Oncol Biol Phys (2016) 95(4):1142–8. doi: 10.1016/j.ijrobp.2016.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Benedict SH, Yenice KM, Followill D, Galvin JM, Hinson W, Kavanagh B, et al. Stereotactic body radiation therapy: Tthe report of AAPM task group 101. Med Phys (2010) 37(8):4078–101. doi: 10.1118/1.3438081

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Lin NU, Lee EQ, Aoyama H, Barani IJ, Barboriak DP, Baumert BG, et al. Response assessment criteria for brain metastases: Proposal from the RANO group. Lancet Oncol (2015) 16(6):e270–8. doi: 10.1016/S1470-2045(15)70057-4

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Raza GH, Capone L, Tini P, Giraffa M, Gentile P, Minniti G. Single-isocenter multiple-target stereotactic radiosurgery for multiple brain metastases: dosimetric evaluation of two automated treatment planning systems. Radiat Oncol (2022) 17(1):116. doi: 10.1186/s13014-022-02086-3

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Routman DM, Yan E, Vora S, Peterson J, Mahajan A, Chaichana KL, et al. Preoperative stereotactic radiosurgery for brain metastases. Front Neurol (2018) 9:959. doi: 10.3389/fneur.2018.00959

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Yuan M, Behrami E, Pannullo S, Schwartz TH, Wernicke AG. The relationship between tumor volume and timing of post-resection stereotactic radiosurgery to maximize local control: A critical review. Cureus (2019) 11(9):e5762. doi: 10.7759/cureus.5762

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Schiff D, Messersmith H, Brastianos PK, Brown PD, Burri S, Dunn IF, et al. Radiation therapy for brain metastases: ASCO guideline endorsement of ASTRO guideline. J Clin Oncol (2022) 40(20):2271–6. doi: 10.1200/JCO.22.00333

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Alghamdi M, Hasan Y, Ruschin M, Atenafu EG, Myrehaug S, Tseng CL, et al. Stereotactic radiosurgery for resected brain metastasis: Cavity dynamics and factors affecting its evolution. J Radiosurg SBRT (2018) 5(3):191–200.

PubMed Abstract | Google Scholar

47. Jarvis LA, Simmons NE, Bellerive M, Erkmen K, Eskey CJ, Gladstone DJ, et al. Tumor bed dynamics after surgical resection of brain metastases: Implications for postoperative radiosurgery. Int J Radiat Oncol Biol Phys (2012) 84(4):943–8. doi: 10.1016/j.ijrobp.2012.01.067

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Scharl S, Kirstein A, Kessel KA, Duma MN, Oechsner M, Straube C, et al. Cavity volume changes after surgery of a brain metastasis-consequences for stereotactic radiation therapy. Strahlenther Onkol (2019) 195(3):207–17. doi: 10.1007/s00066-018-1387-y

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Steindl A, Yadavalli S, Gruber KA, Seiwald M, Gatterbauer B, Dieckmann K, et al. Neurological symptom burden impacts survival prognosis in patients with newly diagnosed non-small cell lung cancer brain metastases. Cancer (2020) 126(19):4341–52. doi: 10.1002/cncr.33085

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Hulsbergen AFC, Claes A, Kavouridis VK, Ansaripour A, Nogarede C, Hughes ME, et al. Subtype switching in breast cancer brain metastases: A multicenter analysis. Neuro Oncol (2020) 22(8):1173–81. doi: 10.1093/neuonc/noaa013

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Duchnowska R, Dziadziuszko R, Trojanowski T, Mandat T, Och W, Czartoryska-Arłukowicz B, et al. Conversion of epidermal growth factor receptor 2 and hormone receptor expression in breast cancer metastases to the brain. Breast Cancer Res (2012) 14(4):R119. doi: 10.1186/bcr3244

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Tonse R, Rubens M, Appel H, Tom MC, Hall MD, Odia Y, et al. Systematic review and meta-analysis of lung cancer brain metastasis and primary tumor receptor expression discordance. Discovery Oncol (2021) 12(1):48. doi: 10.1007/s12672-021-00445-2

CrossRef Full Text | Google Scholar

53. Rosenstock T, Pöser P, Wasilewski D, Bauknecht HC, Grittner U, Picht T, et al. MRI-Based risk assessment for incomplete resection of brain metastases. Front Oncol (2022) 12:873175. doi: 10.3389/fonc.2022.873175

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Shah JK, Potts MB, Sneed PK, Aghi MK, McDermott MW. Surgical cavity constriction and local progression between resection and adjuvant radiosurgery for brain metastases. Cureus (2016) 8(4):e575. doi: 10.7759/cureus.575

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Kocher M, Wittig A, Piroth MD, Treuer H, Seegenschmiedt H, Ruge M, et al. Stereotactic radiosurgery for treatment of brain metastases. a report of the DEGRO working group on stereotactic radiotherapy. Strahlenther Onkol (2014) 190(6):521–32. doi: 10.1007/s00066-014-0648-7

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Baumert BG, Rutten I, Dehing-Oberije C, Twijnstra A, Dirx MJ, Debougnoux-Huppertz RM, et al. A pathology-based substrate for target definition in radiosurgery of brain metastases. Int J Radiat Oncol Biol Phys (2006) 66(1):187–94. doi: 10.1016/j.ijrobp.2006.03.050

PubMed Abstract | CrossRef Full Text | Google Scholar

57. El Shafie RA, Tonndorf-Martini E, Schmitt D, Weber D, Celik A, Dresel T, et al. Pre-operative versus post-operative radiosurgery of brain metastases-volumetric and dosimetric impact of treatment sequence and margin concept. Cancers (Basel) (2019) 11(3):294. doi: 10.3390/cancers11030294

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Minniti G, Clarke E, Lanzetta G, Osti MF, Trasimeni G, Bozzao A, et al. Stereotactic radiosurgery for brain metastases: Analysis of outcome and risk of brain radionecrosis. Radiat Oncol (2011) 6:48. doi: 10.1186/1748-717X-6-48

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Bohoudi O, Bruynzeel AM, Lagerwaard FJ, Cuijpers JP, Slotman BJ, Palacios MA. Isotoxic radiosurgery planning for brain metastases. Radiother Oncol (2016) 120(2):253–7. doi: 10.1016/j.radonc.2016.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Zindler JD, Schiffelers J, Lambin P, Hoffmann AL. Improved effectiveness of stereotactic radiosurgery in large brain metastases by individualized isotoxic dose prescription: An in silico study. Strahlenther Onkol (2018) 194(6):560–9. doi: 10.1007/s00066-018-1262-x

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Faruqi S, Ruschin M, Soliman H, Myrehaug S, Zeng KL, Husain Z, et al. Adverse radiation effect after hypofractionated stereotactic radiosurgery in 5 daily fractions for surgical cavities and intact brain metastases. Int J Radiat Oncol Biol Phys (2020) 106(4):772–9. doi: 10.1016/j.ijrobp.2019.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neoadjuvant, stereotactic radiosurgery (SRS), CyberKnife®, brain metastases (BM), preoperative

Citation: Acker G, Nachbar M, Soffried N, Bodnar B, Janas A, Krantchev K, Kalinauskaite G, Kluge A, Shultz D, Conti A, Kaul D, Zips D, Vajkoczy P and Senger C (2023) What if: A retrospective reconstruction of resection cavity stereotactic radiosurgery to mimic neoadjuvant stereotactic radiosurgery. Front. Oncol. 13:1056330. doi: 10.3389/fonc.2023.1056330

Received: 28 September 2022; Accepted: 20 February 2023;
Published: 16 March 2023.

Edited by:

Constantin Tuleasca, Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland

Reviewed by:

Georges Sinclair, University Hospital Southampton NHS Foundation Trust, United Kingdom
Mirza Pojskic, University Hospital of Giessen and Marburg, Germany
Susanne Rogers, Aarau Cantonal Hospital, Switzerland

Copyright © 2023 Acker, Nachbar, Soffried, Bodnar, Janas, Krantchev, Kalinauskaite, Kluge, Shultz, Conti, Kaul, Zips, Vajkoczy and Senger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gueliz Acker, Z3VlbGl6LmFja2VyQGNoYXJpdGUuZGU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.