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BACKGROUND: The purpose of this study was to evaluate local control and toxicity in a group of patients treated with stereotactic body radiotherapy (SBRT) for lung metastases (LM) from bone and soft tissue sarcomas. PATIENTS AND METHODS: From October 2010 to July 2014, patients with LM from sarcomas not suitable for surgery were treated with daily cone-beam computed tomography-guided SBRT. The dose administered ranged from 30 to 60 Gy in 3-8 fractions. Acute and late toxicity were scored according to Common Terminology Criteria for Adverse Events version 4.0. RESULTS: A total of 24 patients with 68 LM from sarcomas were treated with SBRT. The median follow-up after SBRT was 17 months (range=11-51 months). Two-year actuarial lesion local control and overall survival were 85.9% and 66.4%, respectively. No G3 or greater acute and late toxicities were observed. CONCLUSION: SBRT is a safe and effective treatment for LM from sarcoma and might be used as an alternative option in patients unfit for surgery.

Behçet disease is characterized by recurrent oral and genital ulcerations as well as ocular involvement. We report five patients (three women) with this condition. All had oral or genital ulcerations, nodules or pustules. Three patients had an uveitis, two had vestibular involvement and one had a meningoencephalitis. One patient died after a massive hemoptysis (Rev Méd Chile 2002; 130: 551-56)

Purpose: To perform a systematic review of the current level of evidence on post-operative management following brain metastasectomy (namely: adjuvant stereotactic radiosurgery, whole brain radiotherapy or observation), and to propose a GRADE-based dedicated recommendation to inform Radiation Oncologists’ clinical practice. Methods: A panel of expert Radiation Oncologists from the Italian Association of Radiotherapy and Clinical Oncology had defined the search question per the PICO methodology. Electronic databases were independently screened; the Preferred Reporting Items for Systematic Reviews and Meta-Analyses was adopted. The individual and pooled hazard ratios with 95% confidence intervals (CI), as well as the pooled risk ratio (RR) were calculated using a fixed- or random-effects model. Results: Eight full-texts were retrieved: six retrospective studies and two randomized clinical trials. Outcomes of benefit and damage were analyzed for SRS + observation (PICO A) and SRS + WBRT. SRS allowed for increased rates of local control when compared to both observation and WBRT, while evidence was less conclusive for distant brain control, leptomeningeal disease control and overall survival. In the SRS, the incidence of severe radionecrosis was higher as compared to WBRT, despite neurocognitive deterioration rates were lower. Overall, SRS seems to favorably compare with observation and whole brain RT, despite the level of evidence for the recommendation was low and very low, respectively. Conclusion: Despite low level of evidence, the panel concluded that the risk/benefit ratio probably favors adjuvant SRS as compared to the observation and whole brain RT as adjuvant treatments following brain metastasectomy (5 votes/5 participants, 100% attendance).

Purpose: Artificial Intelligence (AI) involves several and different techniques able to elaborate a large amount of data responding to a specific planned outcome. There are several possible applications of this technology in neuro-oncology. Methods: We reviewed, according to PRISMA guidelines, available studies adopting AI in different fields of neuro-oncology including neuro-radiology, pathology, surgery, radiation therapy, and systemic treatments. Results: Neuro-radiology presented the major number of studies assessing AI. However, this technology is being successfully tested also in other operative settings including surgery and radiation therapy. In this context, AI shows to significantly reduce resources and costs maintaining an elevated qualitative standard. Pathological diagnosis and development of novel systemic treatments are other two fields in which AI showed promising preliminary data. Conclusion: It is likely that AI will be quickly included in some aspects of daily clinical practice. Possible applications of these techniques are impressive and cover all aspects of neuro-oncology.