Results 71 to 80 of about 93,637 (309)
Open Medicine, 2016 Abstract Meningioma accounts for more than 30% of all intracranial tumours. It affects mainly the elderly above the age of 60, at a female:male ratio of 3:2. The prognosis is variable: it is usually favourable with no progression in tumour grade and no recurrence in WHO grade 1 tumours.
Hortobágyi, Tibor +4 more
openaire +4 more sources
Krüppel-like factor 8 (KLF8) is expressed in gliomas of different WHO grades and is essential for tumor cell proliferation. [PDF]
, 2012 Krüppel-like factor 8 (KLF8) has only recently been identified to be involved in tumor cell proliferation and invasion of several different tumor entities like renal cell carcinoma, hepatocellular carcinoma and breast cancer.
Albrecht, Valerie +8 more
core +4 more sources
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Advanced Intelligent Systems, EarlyView.Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
Case Reports in Oncological Medicine, 2012 Aim. To analyze the clinicopathological features of meningioangiomatosis (MA) associated with meningioma. Methods. We present one case of MA associated with meningioma. Histopathological examination and immunohistochemistry were used. Results. The age of
Huajuan Cui +5 more
doaj +1 more source
Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
Frontiers in Oncology, 2020 Meningioma is the most common intracranial tumor, and recent studies have drawn attention to the importance of further research on malignant meningioma.
Lu Shen +12 more
doaj +1 more source
Use of the Neurological Pupil Index to Predict Postoperative Visual Function After Resection of a Tuberculum Sellae Meningioma: A Case Report. [PDF]
, 2019 The Neurological Pupil index (NPi) is a standardized method for evaluating pupil reactivity that removes inter-examiner variability. Changes in the NPi can predict clinical deterioration in patients with traumatic brain injury (TBI); however, its use to ...
Raygor, Kunal P +1 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning‐based system for classifying brain tumors from magnetic resonance imaging images. Four datasets were created using various wavelet transforms and original images. Several convolutional neural network and vision transformer models were trained via transfer learning, and an ensemble of top models achieved 85.03 ...
Ismail Oztel
wiley +1 more source
Exploring the role of epidermal growth factor receptor variant III in meningeal tumors.
PLoS ONE, 2021 Meningioma is the second most common type of intracranial brain tumor. Immunohistochemical techniques have shown prodigious results in the role of epidermal growth factor receptor variant III (EGFR vIII) in glioma and other cancers.
Rashmi Rana +10 more
doaj +1 more source
Neuro-Oncology Advances, 2023 Abstract Spinal meningiomas (SM) are lesions with a mostly favorable oncological and surgical prognosis and a low incidence of tumor recurrence. SM account for approximately 1.2–12.7% of all meningiomas and 25% of all spinal cord tumors. Typically, SM are located in the intradural extramedullary space. SM grow slowly and spread laterally
Christoph Hohenberger +7 more
openaire +2 more sources
A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]
, 2009 Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Hans, Volkmar +3 more
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