Background: Plethora of information exists in the literature on pathology of the glioma while prevailing research data on quality-of-life (QOL) of glioma patients marks dearth thus demanding more studies.
Aims: In this study, we examined the QOL of different grades of glioma patients among the Chennai population in India.
Materials And Methods: A total of 162 patients with different grades of glioma enrolled from August 2007 to February 2011, at their first contact to Department of Neurology and Neurosurgery, Government General Hospital, Chennai, India were included and their QOL was assessed by European Organization for Research and Treatment of Cancer Core QOL questionnaire (EORTC QLQc-30), EORTC brain cancer module (QLQ BN-20).
Results And Conclusion: Both low and high grade glioma (LGG and HGG) patients had poor mean scores in social functioning (87.0), physical functioning (82.0) and emotional functioning (75.2) and role functioning (58.9). The mean scores on cognitive functioning (61.9) and global QOL (60.3) were better. Age, Karnofsky performance status, World Health Organization grades showed significant associations with all functional scales. The percentage values were higher for symptoms of fatigue (76.9%), pain (71.5%), financial difficulties (77.6%) and appetite loss (38.46%) in both LGG and HGG. Similarly, with respect to QLQ-BN20 domains, HGG patients showed more symptoms than low grade with a significant correlation in communication deficit problems (P = 0.02), headache (P = 0.04), seizures (P < 0.01), hair loss (P < 0.05) than the other symptoms. This initial assessment suggests that an increasing burden of symptoms exists, with poor QOL and survival, which has become a major concern in different grades of glioma patients.
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http://dx.doi.org/10.4103/0019-509X.178395 | DOI Listing |
Sci Rep
January 2025
Department of Computer Engineering, Inha University, Incheon, Republic of Korea.
The most prevalent form of malignant tumors that originate in the brain are known as gliomas. In order to diagnose, treat, and identify risk factors, it is crucial to have precise and resilient segmentation of the tumors, along with an estimation of the patients' overall survival rate. Therefore, we have introduced a deep learning approach that employs a combination of MRI scans to accurately segment brain tumors and predict survival in patients with gliomas.
View Article and Find Full Text PDFPurpose: In glioblastoma, the therapeutically intractable and resistant phenotypes can be derived from glioma stem cells, which often have different underlying mechanisms from non-stem glioma cells. Aberrant signaling across the EGFR-PTEN-AKT-mTOR pathways have been shown as common drivers of glioblastoma. Revealing the inter and intra-cellular heterogeneity within glioma stem cell populations in relations to signaling patterns through these pathways may be key to precision diagnostic and therapeutic targeting of these cells.
View Article and Find Full Text PDFCir Cir
January 2025
Department of Neurosurgery, Spinal Health Center, Memorial Hospital, Istanbul, Turkey.
Objective: We aimed to elucidate the histopathological pre-diagnosis of cranial gliomas with magnetic resonance imaging (MRI) techniques in gliomas.
Method: A total of 82 glioma patients were enrolled to our study. Pre-operative conventional MRI images (non-contrast T1/T2/flair/contrast-enhanced T1) and advanced MRI images (DAG and ADC mapping, MRI spectroscopy and perfusion MRI [PMRI]) were analyzed.
J Clin Neurophysiol
October 2024
Department of Neurological Surgery, Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkiye.
Purpose: This study aims to show the impact of multimodal intraoperative neurophysiologic monitoring (IOM) in glioma surgery in preventing severe neurologic injury and increasing tumor removal by comparing the historical cases where IOM was not used.
Methods: Fifty-nine patients with glial tumors located nearby the eloquent area, operated by the same surgeon, were included in the study. Between 2008 and 2012, 21 patients were operated on without IOM (non-IOM); between 2018 and 2021, 38 patients were operated on with IOM.
Future Oncol
January 2025
Lou & Jean Malnati Brain Tumor Institute, Northwestern University, Chicago, IL, USA.
Seizures are a frequent complication in glioma. Incidence of brain tumor-related epilepsy (BTRE) in high-grade glioma (HGG) is an estimated > 25% and in low-grade glioma (LGG) is approximately 72%. Two first-line antiseizure medications (ASMs) for BTRE include levetiracetam (LEV) and valproic acid (VPA).
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