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Background: There is a paucity of data on treatment outcomes following stereotactic radiosurgery (SRS) for brain metastases from sarcoma primaries.
Methods: The International Radiosurgery Research Foundation member-sites were queried for patients with brain metastases from sarcoma primaries treated with SRS. Overall survival (OS) and local control (LC) were calculated via Kaplan-Meier analysis. Univariate analyses examined prognostic factors associated with LC and OS via log-rank t-tests and multivariate analyses (MVA) via Cox proportional hazards model.
Results: A total of 146 patients with 309 brain metastases were identified. Two-hundred and thirty lesions were treated with single-fraction SRS with a median dose of 20 Gy (15-24 Gy). Ninety-five patients had extracranial metastases, including 75 oligometastatic patients. One- and 2-year OS and LC rates were 47.7% and 37.3%, and 78.3% and 62.2%, respectively. On univariate analyses, superior 1-year OS was noted among leiomyosarcomas (69.7% vs. 42.6%; p = .02) with poorer outcomes among pleomorphic histologies (10.5% vs. 50.7%; p = .002). Pleomorphic histologies were associated with poorer OS on MVA (hazard ratio [HR], 3.13; p = .006). On MVA, LC was inferior among patients of age ≥45 years (HR, 3.78; p < .001) and superior among leiomyosarcomas (HR, 0.31; p = .03). OS was prognosticated based on adverse factors (ie, nonleiomyosarcoma histology and progressive extracranial metastases). Two-year OS for patients with and without adverse features were 78.6% and 31.5%, respectively.
Conclusions: LC outcomes were driven by histology and age with superior LC among leiomyosarcomas and patients of age <45 years. OS was driven by nonleiomyosarcoma histology and the presence of progressive extracranial disease.
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http://dx.doi.org/10.1002/cncr.35931 | DOI Listing |
Med Eng Phys
October 2025
Biomedical Device Technology, Istanbul Aydın University, Istanbul, 34093, Istanbul, Turkey. Electronic address:
Deep learning approaches have improved disease diagnosis efficiency. However, AI-based decision systems lack sufficient transparency and interpretability. This study aims to enhance the explainability and training performance of deep learning models using explainable artificial intelligence (XAI) techniques for brain tumor detection.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
September 2025
From the Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America (J.S.S., B.M., S.H., A.H., J.S.), and Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India (H.S.).
Background And Purpose: The choroid of the eye is a rare site for metastatic tumor spread, and as small lesions on the periphery of brain MRI studies, these choroidal metastases are often missed. To improve their detection, we aimed to use artificial intelligence to distinguish between brain MRI scans containing normal orbits and choroidal metastases.
Materials And Methods: We present a novel hierarchical deep learning framework for sequential cropping and classification on brain MRI images to detect choroidal metastases.
PLoS One
September 2025
Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Background: Attention to existential needs has become part of daily treatment. Studies have described the concepts of existential experiences and existential interventions. However, a consensus or conceptual clarity regarding an existential approach in cancer patients is currently missing.
View Article and Find Full Text PDFJ Neurooncol
September 2025
Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
Purpose: Breast cancer (BC) is the most frequent cancer among women and the second leading cause of central nervous system (CNS) metastases. While the epidemiology of CNS metastases from BC has been well described, little is known about the treatment patterns and outcomes of young women < 40 years of age with BC that is metastatic to the CNS.
Methods: In this retrospective analysis, we identified patients with metastatic breast cancer (MBC) to the CNS who were treated at the Sunnybrook Odette Cancer Center, Toronto, Canada between 2008 and 2018.
Neurosurg Rev
September 2025
Service de Neurochirurgie, GHU-Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, F-75014, France.
Awake craniotomy is the gold standard to achieve maximal safe resection of brain lesions located within eloquent areas. There are no established guidelines to assess patient's eligibility for awake craniotomy by weight class. This study assesses feasibility, safety, and efficacy of awake surgery by weight classes through an observational, retrospective, single-institution cohort analysis (2010-2024) of 526 awake craniotomies.
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