Object: The purpose of this paper was to describe the clinical outcome in patients with brain metastases who underwent gamma knife radiosurgery (GKS).
Methods: The authors retrospectively reviewed the clinical courses of 54 patients with brain metastases who underwent 62 GKS procedures. This series covered a 43-month period. A total of 174 lesions were treated: 38 patients harbored solitary whereas 24 patients harbored multiple metastases. The authors assessed outcome by examining local disease control, survival, and quality of life. The overall local control rate was 85%; the mean time to failure of local control was 10.5 months; and median survival was 8.4 months. Median survival, evaluated by the log-rank test, was greater among patients with a single metastasis (p = 0.043), breast cancer (p = 0.021), and those who had undergone multiple GKS procedures for local failure (p = 0.009). The initial Karnofsky Performance Scale (KPS) score and whole-brain radiotherapy were not significantly related to median survival. The KPS scores tended to remain stable through the follow-up period. There were no morbidities or deaths attributable to the procedure.
Conclusions: Results in this series suggest that GKS can be an effective tool for the control of brain metastases. A prospective investigation should be performed to validate trends seen in this retrospective study.
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http://dx.doi.org/10.3171/jns.2002.97.supplement | DOI Listing |
Adv Sci (Weinh)
January 2025
The department of oncology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Non-small cell lung cancer (NSCLC) frequently metastasizes to the brain, significantly worsened prognoses. This study aimed to develop an interpretable model for predicting survival in NSCLC patients with brain metastases (BM) integrating radiomic features and RNA sequencing data. 292 samples are collected and analyzed utilizing T1/T2 MRIs.
View Article and Find Full Text PDFF1000Res
January 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.
View Article and Find Full Text PDFInt J Nanomedicine
January 2025
Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China.
Glioma is the most common primary malignant brain tumor with a poor survival rate. It is characterized by diffuse and invasive growth and heterogeneity, which limits tumor identification and complete resection. Therefore, the precise detection and postoperative adjuvant therapy of gliomas have become increasingly important and urgent.
View Article and Find Full Text PDFCancer Imaging
January 2025
Department of Imaging, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Background: Radiomic analysis of quantitative features extracted from segmented medical images can be used for predictive modeling of prognosis in brain tumor patients. Manual segmentation of the tumor components is time-consuming and poses significant reproducibility issues. We compare the prediction of overall survival (OS) in recurrent high-grade glioma(HGG) patients undergoing immunotherapy, using deep learning (DL) classification networks along with radiomic signatures derived from manual and convolutional neural networks (CNN) automated segmentation.
View Article and Find Full Text PDFBMC Biol
January 2025
Faculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.
Background: Glioblastoma multiforme (GBM) is characterized by its cellular complexity, with a microenvironment consisting of diverse cell types, including oligodendrocyte precursor cells (OPCs) and neoplastic CD133 + radial glia-like cells. This study focuses on exploring the distinct cellular transitions in GBM, emphasizing the role of alternative polyadenylation (APA) in modulating microRNA-binding and post-transcriptional regulation.
Results: Our research identified unique APA profiles that signify the transitional phases between neoplastic cells and OPCs, underscoring the importance of APA in cellular identity and transformation in GBM.
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