Background And Purpose: Multiple prognostic models for predicting survival after treatment for brain metastases have been developed. One of them, the diagnosis-specific Graded Prognostic Assessment (DS-GPA), has been developed to predict the median survival for brain metastases from the most frequent primary sites: lung carcinoma, breast cancer, melanoma, renal cell cancer and gastrointestinal tumours. In this study we aim to compare the survival predicted by the DS-GPA to actual survival, and to assess this models performance on both population and individual levels.
Methods: We identified a consecutive cohort of patients treated with SRS for brain metastases in our institute. DS-GPA scores were calculated for each patient, and the median survival for each DS-GPA group was calculated. Differences in survival between DS-GPA groups were tested with Wilcoxon Signed Rank tests and log-rank tests.
Results: In total 367 patients were included in the analysis. Median survival in our cohort is largely comparable to corresponding DS-GPA cohorts, but some notable differences are present. There was a significantly shorter median survival (15.4 months, compared to 26.5 months) in the adenocarcinoma NSCLC subgroup with a GPA score of 2.3-3. We confirmed the significant differences in survival time for most cancer-specific subgroups.
Conclusion: DS-GPA seems to be a reliable tool to classify patients with brain metastases treated with SRS into prognostic subgroups. However, we found some aberrations from predicted median survival times, which may be due to specific characteristics of the populations of patients treated with SRS versus other patients.
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http://dx.doi.org/10.1016/j.radonc.2019.06.033 | DOI Listing |
Sci Rep
December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
View Article and Find Full Text PDFNat Commun
December 2024
Cancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital,Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Approximately 90% of glioblastoma recurrences occur in the peritumoral brain zone (PBZ), while the spatial heterogeneity of the PBZ is not well studied. In this study, two PBZ tissues and one tumor tissue sample are obtained from each patient via preoperative imaging. We assess the microenvironment and the characteristics of infiltrating immune/tumor cells using various techniques.
View Article and Find Full Text PDFNat Commun
December 2024
Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Glioblastoma is immunologically "cold" and resistant to single-agent immune-checkpoint inhibitors (ICI). Our previous study of neoadjuvant pembrolizumab in surgically-accessible recurrent glioblastoma identified a molecular signature of response to ICI and suggested that neoadjuvant pembrolizumab may improve survival. To increase the power of this observation, we enrolled an additional 25 patients with a primary endpoint of evaluating the cell cycle gene signature associated with neoadjuvant pembrolizumab and performed bulk-RNA seq on resected tumor tissue (NCT02852655).
View Article and Find Full Text PDFIran Biomed J
December 2024
Department of Medicine, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
Front Oncol
December 2024
Diagnostic Imaging Center, Tam Anh General Hospital, Ho Chi Minh City, Vietnam.
Basal ganglia germinomas are uncommon neoplasms. Basal ganglia germinomas exhibit high sensitivity to both radiation therapy and chemotherapy. In contrast, surgery is the standard treatment for most primary brain tumors (such as gliomas, which are the most common tumors in the pediatric basal ganglia region).
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