98%
921
2 minutes
20
Objective: Glioblastoma with multiple foci (mGBM) and multiple brain metastases share several common features on magnetic resonance imaging (MRI). A reliable preoperative diagnosis would be of clinical relevance. The aim of this study was to explore the differences and similarities between mGBM and multiple brain metastases on MRI.
Methods: We performed a retrospective analysis of 50 patients with mGBM and compared them with a cohort of 50 patients with multiple brain metastases (2-10 lesions) histologically confirmed and treated at our department between 2015 and 2020. The following imaging characteristics were analyzed: lesion location, distribution, morphology, (T2-/FLAIR-weighted) connections between the lesions, patterns of contrast agent uptake, apparent diffusion coefficient (ADC)-values within the lesion, the surrounding T2-hyperintensity, and edema distribution.
Results: A total of 210 brain metastases and 181 mGBM lesions were analyzed. An infratentorial localization was found significantly more often in patients with multiple brain metastases compared to mGBM patients (28 vs. 1.5%, p < 0.001). A T2-connection between the lesions was detected in 63% of mGBM lesions compared to 1% of brain metastases. Cortical edema was only present in mGBM. Perifocal edema with larger areas of diffusion restriction was detected in 31% of mGBM patients, but not in patients with metastases.
Conclusion: We identified a set of imaging features which improve preoperative diagnosis. The presence of T2-weighted imaging hyperintensity connection between the lesions and cortical edema with varying ADC-values was typical for mGBM.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10759655 | PMC |
http://dx.doi.org/10.1186/s12880-023-01183-3 | 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