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261
Observation on Therapeutic Effect of Neuromuscular Electrical Stimulation and Rehabilitation Training on Dysphagia Patients Caused by Different Brain Injuries and Effect on Their H...
Published 2017-12-01“…There were 17 dysphagia patients due to brain tumor oppression of nerve were recruited in group A, 14 dysphagia patients due to cerebral thrombosis were recruited in group B, 14 dysphagia patients due to parkinsonian syndrome were recruited in group C, and 10 dysphagia patients due to cerebral palsy were recruited in group D. …”
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262
Expression and prognostic value of ferritinophagy-related NCOA4 gene in low-grade glioma: integration of bioinformatics and experimental validation
Published 2025-01-01“…Abstract Background Low-grade glioma (LGG) is a primary brain tumor with relatively low malignancy. NCOA4 is a key regulator of ferritinophagy-related processes and is involved in the occurrence and development of many cancers. …”
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263
CXCL12 impact on glioblastoma cells behaviors under dynamic culture conditions: Insights for developing new therapeutic approaches.
Published 2024-01-01“…Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival time of 14 to 20 months. …”
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264
Validating a clinically based MS-MLPA threshold through comparison with Sanger sequencing in glioblastoma patients
Published 2025-01-01“…Abstract Background Glioblastoma is the commonest malignant brain tumor and has a very poor prognosis. Reduced expression of the MGMT gene (10q26.3), influenced primarily by the methylation of two differentially methylated regions (DMR1 and DMR2), is associated with a good response to temozolomide treatment. …”
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265
Prognostic impact of tumor size on cancer-specific survival for postoperative WHO grade II oligodendroglioma: a SEER-based study
Published 2025-02-01“…BackgroundWHO grade II oligodendroglioma (OG/II) is a rare primary brain tumor with various outcomes. Our study aims to investigate prognostic factors for postoperative OG/II patients and then evaluate the instructional value of tumor size.MethodsWe retrospectively studied the cases from the Surveillance, Epidemiology, and End Results (SEER) database. …”
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266
Insights Into the Role of Bmi‐1 Deregulation in Promoting Stemness and Therapy Resistance in Glioblastoma: A Narrative Review
Published 2025-01-01“…ABSTRACT Background Glioblastoma (GBM) is the most common primary brain tumor in adults and has a median survival of less than 15 months. …”
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267
RETRACTED ARTICLE: Construction and validation of a machine learning-based immune-related prognostic model for glioma
Published 2024-10-01“…Abstract Background Glioma stands as the most prevalent primary brain tumor found within the central nervous system, characterized by high invasiveness and treatment resistance. …”
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268
Multimodal Imaging of Patients With Gliomas Confirms C-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy
Published 2017-01-01“…The value of combined L-( methyl -[ 11 C]) methionine positron-emitting tomography (MET-PET) and magnetic resonance imaging (MRI) with regard to tumor extent, entity prediction, and therapy effects in clinical routine in patients with suspicion of a brain tumor was investigated. In n = 65 patients with histologically verified brain lesions n = 70 MET-PET and MRI (T1-weighted gadolinium-enhanced [T1w-Gd] and fluid-attenuated inversion recovery or T2-weighted [FLAIR/T2w]) examinations were performed. …”
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269
An Optimized Liquid Chromatography–Mass Spectrometry Method for Ganglioside Analysis in Cell Lines
Published 2024-10-01“…The optimized method was applied to profile gangliosides in neuroblastoma (COG-N-683), pancreatic cancer (PSN1), breast cancer (MDA-MB-231BR), and brain tumor (CRL-1620) cell lines. The ganglioside profile of the neuroblastoma cell line COG-N-683 showed an inverse relationship between GD1 and GD2. …”
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270
Biopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model
Published 2025-01-01“…Abstract Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. …”
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271
Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities
Published 2025-04-01“…These datasets include two X-ray collections: the COVID-19 Pneumonia Normal Chest PA Dataset and the Osteoporosis Knee X-ray Dataset; two CT scan datasets: the Chest CT-Scan Images Dataset and the Brain Stroke CT Image Dataset; two MRI datasets: the Breast Cancer Patients MRI and the Brain Tumor MRI Dataset; and two ultrasound datasets: the Ultrasound Breast Images for Breast Cancer and the MT Small Dataset. …”
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272
Effect of SNORD113-3/ADAR2 on glycolipid metabolism in glioblastoma via A-to-I editing of PHKA2
Published 2025-01-01“…Abstract Background Glioblastoma multiforme (GBM) is a highly aggressive brain tumor, characterized by its poor prognosis. Glycolipid metabolism is strongly associated with GBM development and malignant behavior. …”
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273
IDH-mutant gliomas in children and adolescents - from biology to clinical trials
Published 2025-01-01Get full text
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274
Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy
Published 2025-01-01“…Abstract Background Radiomic analysis of quantitative features extracted from segmented medical images can be used for predictive modeling of prognosis in brain tumor patients. Manual segmentation of the tumor components is time-consuming and poses significant reproducibility issues. …”
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275
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma
Published 2025-01-01“…Abstract Background Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient prognosis. …”
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276
Ferroptosis Transcriptional Regulation and Prognostic Impact in Medulloblastoma Subtypes Revealed by RNA-Seq
Published 2025-01-01“…Medulloblastoma (MB) is the most common malignant brain tumor in children, typically arising during infancy and childhood. …”
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277
Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma
Published 2024-12-01“…The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. …”
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278
Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis
Published 2025-01-01“…Methods We quantitatively measured amino acids, biogenic amines, hexoses, acylcarnitines (AC), cholesteryl esters (CE), glycerides, phosphatidylcholines (PC), lysophosphatidylcholines (LPC), sphingomyelins (SM), and ceramides (Cer) in 117 CSF samples from various groups of healthy controls (HC, n = 10), patients with LM (LM, n = 47), parenchymal brain tumor (PBT, n = 45), and inflammatory disease (ID, n = 13) with internal standards using the Absolute IDQ- p400® targeted mass spectrometry kit. …”
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279
Associated adverse outcomes with tumor treating fields when combined to temozolomide versus temozolomide alone for the treatment of glioblastoma: a meta-analysis of randomized tria...
Published 2025-02-01“…Abstract Background Glioma is a brain tumor and glioblastoma represents its most common type, accounting for almost 40% of primary tumors of the central nervous system, and is associated with the worst prognosis. …”
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280
OLIG2 mediates a rare targetable stem cell fate transition in sonic hedgehog medulloblastoma
Published 2025-02-01Get full text
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