Magnetic resonance perfusion for differentiating low‐grade from high‐grade gliomas at first presentation

JM Abrigo, DM Fountain, JM Provenzale… - Cochrane Database …, 2018 - cochranelibrary.com
Background Gliomas are the most common primary brain tumour. They are graded using the
WHO classification system, with Grade II‐IV astrocytomas, oligodendrogliomas and …

Noninvasive grading of glioma tumor using magnetic resonance imaging with convolutional neural networks

S Khawaldeh, U Pervaiz, A Rafiq, RS Alkhawaldeh - Applied Sciences, 2017 - mdpi.com
In recent years, Convolutional Neural Networks (ConvNets) have rapidly emerged as a
widespread machine learning technique in a number of applications especially in the area …

Imaging features of medulloblastoma: Conventional imaging, diffusion-weighted imaging, perfusion-weighted imaging, and spectroscopy: From general features to …

V Dangouloff-Ros, P Varlet, R Levy, K Beccaria… - Neurochirurgie, 2021 - Elsevier
Medulloblastoma is a frequent high-grade neoplasm among pediatric brain tumours. Its
classical imaging features are a midline tumour growing into the fourth ventricle, hyperdense …

Differentiation between ependymoma and medulloblastoma in children with radiomics approach

J Dong, L Li, S Liang, S Zhao, B Zhang, Y Meng… - Academic radiology, 2021 - Elsevier
Rationale and Objectives Ependymoma (EP) and medulloblastoma (MB) of children are
similar in age, location, manifestations and symptoms. Therefore, it is difficult to differentiate …

The diagnostic value of apparent diffusion coefficient and proton magnetic resonance spectroscopy in the grading of pediatric gliomas

R Yao, A Cheng, M Liu, Z Zhang, B Jin… - Journal of computer …, 2021 - journals.lww.com
The Diagnostic Value of Apparent Diffusion Coefficient and P... : Journal of Computer Assisted
Tomography The Diagnostic Value of Apparent Diffusion Coefficient and Proton Magnetic …

Deep learning classifies low-and high-grade glioma patients with high accuracy, sensitivity, and specificity based on their brain white matter networks derived from …

S Vidyadharan, BVVSN Prabhakar Rao, Y Perumal… - Diagnostics, 2022 - mdpi.com
Classifying low-grade glioma (LGG) patients from high-grade glioma (HGG) is one of the
most challenging tasks in planning treatment strategies for brain tumor patients. Previous …

The role of predictive model based on quantitative basic magnetic resonance imaging in differentiating medulloblastoma from ependymoma

NM Duc, HQ Huy, C Nadarajan, B Keserci - Anticancer Research, 2020 - ar.iiarjournals.org
Background/Aim: Even though advanced magnetic resonance imaging (MRI) can effectively
differentiate between medulloblastoma and ependymoma, it is not readily available …

The role of artificial intelligence in paediatric neuroradiology

C Pringle, JP Kilday, I Kamaly-Asl, SM Stivaros - Pediatric radiology, 2022 - Springer
Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and
neuro-oncological disease. Employing multi-parametric MRI techniques, such as …

Investigation of a brain cancer with interfacing of 3-dimensional image processing

S Saeed, AB Abdullah - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
3dimensional image analysis (3-D) provides an effective way to quickly and accurately
evaluate complex interactions and functions between neurons. Method of identification …

Posterior fossa tumors in children: radiological tips & tricks in the age of genomic tumor classification and advance MR technology

B Kerleroux, JP Cottier, K Janot, A Listrat… - Journal of …, 2020 - Elsevier
Imaging plays a major role in the comprehensive assessment of posterior fossa tumor in
children (PFTC). The objective is to propose a global method relying on the combined …