[HTML][HTML] Circulating biomarkers in patients with glioblastoma

J Müller Bark, A Kulasinghe, B Chua, BW Day… - British journal of …, 2020 - nature.com
Gliomas are the most common tumours of the central nervous system and the most
aggressive form is glioblastoma (GBM). Despite advances in treatment, patient survival …

The biology and mathematical modelling of glioma invasion: a review

JCL Alfonso, K Talkenberger… - Journal of the …, 2017 - royalsocietypublishing.org
Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …

Imaging glioblastoma posttreatment: progression, pseudoprogression, pseudoresponse, radiation necrosis

SB Strauss, A Meng, EJ Ebani… - Neuroimaging …, 2021 - neuroimaging.theclinics.com
Eighty percent of all malignant primary brain tumors diagnosed in the United States are
gliomas. 1 The current treatment paradigm for high-grade gliomas (grades III and IV) …

[HTML][HTML] Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted …

S Roy, TD Whitehead, JD Quirk, A Salter… - …, 2020 - thelancet.com
Background Radiomics analyses has been proposed to interrogate the biology of tumour as
well as to predict/assess response to therapy in vivo. The objective of this work was to …

Comparison of feature selection methods and machine learning classifiers for radiomics analysis in glioma grading

P Sun, D Wang, VC Mok, L Shi - Ieee Access, 2019 - ieeexplore.ieee.org
Radiomics-based researches have shown predictive abilities with machine-learning
approaches. However, it is still unknown whether different radiomics strategies affect the …

Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics

AAKA Razek, L El-Serougy, M Abdelsalam, G Gaballa… - Neuroradiology, 2018 - Springer
Purpose The aim of this study is to differentiate recurrent/residual gliomas from postradiation
changes using arterial spin labeling (ASL) perfusion and diffusion tensor imaging (DTI) …

[HTML][HTML] Conventional and advanced magnetic resonance imaging in patients with high-grade glioma

G BRANDAL - The quarterly journal of nuclear medicine and …, 2018 - ncbi.nlm.nih.gov
Magnetic resonance imaging is integral to the care of patients with high-grade gliomas.
Anatomic detail can be acquired with conventional structural imaging, but newer …

Pseudoprogression versus true progression in glioblastoma patients: A multiapproach literature review. Part 2–Radiological features and metric markers

C Le Fevre, JM Constans, I Chambrelant… - Critical reviews in …, 2021 - Elsevier
After chemoradiotherapy for glioblastoma, pseudoprogression can occur and must be
distinguished from true progression to correctly manage glioblastoma treatment and follow …

[HTML][HTML] Glioblastoma: new therapeutic strategies to address cellular and genomic complexity

X Cai, ME Sughrue - Oncotarget, 2018 - ncbi.nlm.nih.gov
Glioblastoma (GBM) is the most invasive and devastating primary brain tumor with a median
overall survival rate about 18 months with aggressive multimodality therapy. Its unique …

Textural features of dynamic contrast‐enhanced MRI derived model‐free and model‐based parameter maps in glioma grading

T Xie, X Chen, J Fang, H Kang, W Xue… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Presurgical glioma grading by dynamic contrast‐enhanced MRI (DCE‐MRI)
has unresolved issues. Purpose The aim of this study was to investigate the ability of textural …