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http://dx.doi.org/10.1007/s11060-010-0202-0 | DOI Listing |
J Neurooncol
January 2025
Department of Neurosurgery, NYU Langone Health and NYU Grossman School of Medicine, 530 1st Avenue, Skirball Suite 8R, New York, NY, 10016, USA.
Unlabelled: QUESTIONS AND RECOMMENDATIONS FROM THE PRIOR VERSION OF THESE GUIDELINES WITHOUT CHANGE: TARGET POPULATION: Adult patients (age ≥ 18 years) who have suspected low-grade diffuse glioma.
Question: What are the optimal neuropathological techniques to diagnose low-grade diffuse glioma in the adult?
Recommendation: Level I Histopathological analysis of a representative surgical sample of the lesion should be used to provide the diagnosis of low-grade diffuse glioma. Level III Both frozen section and cytopathologic/smear evaluation should be used to aid the intra-operative assessment of low-grade diffuse glioma diagnosis.
Brain Behav
January 2025
Department of Radiology, Liuzhou Worker's Hospital, Guangxi, China.
Background: Adult glioblastomas (GBMs) are associated with high recurrence and mortality. Personalized treatment based on molecular markers may help improve the prognosis. We aimed to evaluate whether apparent diffusion coefficient (ADC) histogram analysis can better predict MGMT and TERT molecular characteristics and to determine the prognostic relevance of genetic profile in patients with GBM.
View Article and Find Full Text PDFNeoplasia
December 2024
Department of Pathology, Ajou University School of Medicine, Suwon 16499, Republic of Korea. Electronic address:
Glioblastoma, isocitrate dehydrogenase (IDH)-wildtype (GBM), is the most malignant brain tumor in adults, with limited therapeutic intervention. Previous studies have identified a few prognostic markers for GBM, including the methylation status of O-methylguanine-DNA methyltransferase (MGMT) promoter, TERT promoter mutation, EGFR amplification, and CDKN2A/2B deletion. However, the classification of GBM remains incomplete, necessitating a comprehensive analysis.
View Article and Find Full Text PDFCancer Imaging
December 2024
Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450000, PR China.
Objective: This study aims to evaluate the effectiveness of deep learning features derived from multi-sequence magnetic resonance imaging (MRI) in determining the O-methylguanine-DNA methyltransferase (MGMT) promoter methylation status among glioblastoma patients.
Methods: Clinical, pathological, and MRI data of 356 glioblastoma patients (251 methylated, 105 unmethylated) were retrospectively examined from the public dataset The Cancer Imaging Archive. Each patient underwent preoperative multi-sequence brain MRI scans, which included T1-weighted imaging (T1WI) and contrast-enhanced T1-weighted imaging (CE-T1WI).
Brain Commun
December 2024
Department of Neuroscience, University of Padova, 35121 Padova, Italy.
A large literature assessed the relationships between the O-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and glioblastoma location with inconsistent results. Studies assessing this association using the percentage of methylation are lacking. This cross-sectional study aimed at investigating relationships between glioblastoma topology and MGMT promoter methylation, both as categorical (presence/absence) and continuous (percentage) status.
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