98%
921
2 minutes
20
Small cell lung cancer (SCLC) has a propensity for brain metastases, which is associated with poor prognosis. We sought to determine predictors of overall survival (OS) and brain progression-free survival (bPFS) in SCLC patients with synchronous brain metastases at the time of initial SCLC diagnosis. A total of 107 SCLC patients with synchronous brain metastases treated at a single institution were included in this retrospective analysis. These patients had brain lesions present on initial staging imaging. Survival was estimated using the Kaplan-Meier method with log-rank test. Factors predictive of OS and bPFS were analyzed using Cox proportional hazards regression model. Median OS for the entire cohort was 9 months (interquartile range, 4.2-13.8 months) and median bPFS was 7.3 months (interquartile range, 3.5-11.1 months). OS was 30.3% at 1 year and 14.4% at 2 years, while bPFS was 22.0% at 1 year and 6.9% at 2 years. The median number of brain lesions at diagnosis was 3 (interquartile range, 2-8), and the median size of the largest metastasis was 2.0 cm (interquartile range, 1.0-3.3 cm). Increased number of brain lesions was significantly associated with decreased OS. Patients who received both chemotherapy and whole brain radiation therapy (WBRT) had improved OS (P=0.02) and bPFS (P=0.005) compared to those who had either chemotherapy or WBRT alone. There was no significant difference in OS or bPFS depending on the sequence of therapy or the dose of WBRT. Thirteen patients underwent upfront brain metastasis resection, which was associated with improved OS (P=0.02) but not bPFS (P=0.09) compared to those who did not have surgery. The combination of chemotherapy and WBRT was associated with improved OS and bPFS compared to either modality alone. Upfront brain metastasis resection was associated with improved OS but not bPFS compared to those who did not have surgery.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11157380 | PMC |
http://dx.doi.org/10.21037/tlcr-23-641 | 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.
View Article and Find Full Text PDF