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Purpose The purpose of this critical review is to summarize the literature specific to single-fraction stereotactic radiosurgery (SRS) and multiple-fraction stereotactic radiation therapy (SRT) for postoperative brain metastases resection cavities and to present practice recommendations on behalf of the ISRS. Methods and Materials The Medline and Embase databases were used to apply the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach to search for manuscripts reporting SRS/SRT outcomes for postoperative brain metastases tumor bed resection cavities with a search end date of July 20, 2018. Prospective studies, consensus guidelines, and retrospective series that included exclusively postoperative brain metastases and had at minimum 100 patients were considered eligible. Results The Embase search revealed 157 manuscripts, of which 77 were selected for full-text screening. PubMed yielded 55 manuscripts, of which 23 were selected for full text screening. We deemed 8 retrospective series, 1 phase 2 prospective study, 3 randomized controlled trials, and 1 consensus contouring paper appropriate for inclusion. The data suggest that SRS/SRT to surgical cavities with prescription doses of 30 to 50 Gy equivalent effective dose (EQD) 210, 50 to 70 Gy EQD25, and 70 to 90 EQD22 are associated with rates of local control ranging from 60.5% to 91% (median, 80.5%). Randomized data suggest improved local control with single-fraction SRS compared with observation and improved cognitive outcomes compared with whole-brain radiation therapy (WBRT). The toxicity of SRS/SRT in the postoperative setting was limited and is reviewed herein. Conclusions Although randomized data raise concern for poorer local control after resection cavity SRS than WBRT, these findings may be driven by factors such as conservative prescription doses used in the SRS arm. Retrospective studies suggest high rates of local control after single-fraction SRS and hypofractionated SRT for postoperative brain metastases. With a superior neurocognitive profile and no survival disadvantage to withholding WBRT, the ISRS recommends SRS as first-line treatment for eligible postoperative patients. Emerging data suggest that fractionated SRT may provide superior local control compared with single-fraction SRS, in particular, for large tumor cavity volumes/diameters and potentially for patients with a preoperative diameter greater than 2.5 cm.

Advances in data storage and data analysis materialized also in health care data. In recent years, we have seen an emphasis on using the full potential (1, 2) of these data to answer questions such as: who were the patients that received radiation therapy as primary treatment? Who among such patients experienced radiation therapyerelated complications? Given everything you know about my case, what is the chance that if I choose radiation therapy, I will experience incontinence in the next year? Factors contributing to this trend include more rapid data querying technologies, cheaper data storage, addition of genomic data to traditional clinical data sets, “meaningful use incentives” for increasing the adoption of electronic health records, and recent emergence of precision medicine (3). In this perspective paper, we discuss several challenges ahead for big data, some that are being addressed now and others that will need to be addressed in the near future. The list of challenges presented here is not meant to be an exhaustive list but is rather driven by our big data experience. For each challenge, we provide comments on current approaches to address the challenge.