CircXRCC5, as a potential novel biomarker, promotes glioma progression via the miR-490-3p/XRCC5/CLC3 competing endogenous RNA network
P Chen, ZY Nie, XF Liu, M Zhou, XX Liu, B Wang - Neuroscience, 2022 - Elsevier
Circular RNAs (circRNAs), forming a covalently closed loop, are identified as a special
subgroup of non-coding RNAs. Herein, we investigated the function and underlying …
subgroup of non-coding RNAs. Herein, we investigated the function and underlying …
Combining 18F-DOPA PET and MRI with perfusion-weighted imaging improves delineation of high-grade subregions in enhancing and non-enhancing gliomas prior …
Purpose We aimed to compare spatial extent of high-grade subregions detected with
combined [18 F]-dihydroxyphenylalanine (18 F-DOPA) PET and MRI to the one provided by …
combined [18 F]-dihydroxyphenylalanine (18 F-DOPA) PET and MRI to the one provided by …
[HTML][HTML] Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI
T Gu, T Yang, J Huang, J Yu, H Ying, X Xiao - Aging (Albany NY), 2021 - ncbi.nlm.nih.gov
Glioma characterized by high morbidity and mortality, is one of the most common brain
tumors. The application of intravoxel incoherent motion diffusion weighted imaging (IVIM …
tumors. The application of intravoxel incoherent motion diffusion weighted imaging (IVIM …
[HTML][HTML] Hemodynamic Imaging in Cerebral Diffuse Glioma—Part A: Concept, Differential Diagnosis and Tumor Grading
Simple Summary Diffuse gliomas, and glioblastomas, in particular, represent a diagnostic
and clinical challenge. Standard neuroimaging continues to have many limitations for …
and clinical challenge. Standard neuroimaging continues to have many limitations for …
Imaging advances for central nervous system tumors
Imaging is an essential diagnostic tool for evaluating patients with brain tumors due to its
ability to noninvasively characterize brain lesions. Extent of disease delineated by imaging …
ability to noninvasively characterize brain lesions. Extent of disease delineated by imaging …
Diffusion-and perfusion-weighted magnetic resonance imaging methods in nonenhancing gliomas
H Alkanhal, K Das, H Poptani - World Neurosurgery, 2020 - Elsevier
Routine diagnostic magnetic resonance imaging (MRI) uses enhancement of the tumor
tissue as a marker of malignancy in intracranial gliomas. However, several high-grade …
tissue as a marker of malignancy in intracranial gliomas. However, several high-grade …
Nonenhancing motor eloquent gliomas: navigated transcranial magnetic stimulation oncobiological signature
JP Lavrador, S Hodgkinson, J Knight, S Patel… - Journal of …, 2023 - thejns.org
OBJECTIVE Preoperative grading of nonenhancing motor eloquent gliomas is hampered by
a lack of specific imaging surrogates. Tumor grading is crucial for the informed consent …
a lack of specific imaging surrogates. Tumor grading is crucial for the informed consent …
[HTML][HTML] Contribution of advanced neuro-imaging (MR diffusion, perfusion and proton spectroscopy) in differentiation between low grade gliomas GII and MR …
MS Abdelgawad, MH Kayed, MIS Reda… - Egyptian Journal of …, 2022 - Springer
Background Non-neoplastic brain lesions can be misdiagnosed as low-grade gliomas.
Conventional magnetic resonance (MR) imaging may be non-specific. Additional imaging …
Conventional magnetic resonance (MR) imaging may be non-specific. Additional imaging …
[HTML][HTML] Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging
J Zhou, Z Hou, C Tian, Z Zhu, M Ye, S Chen… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Glioma is the most common type of primary malignant tumor of the central nervous system
(CNS), and is characterized by high malignancy, high recurrence rate and poor survival …
(CNS), and is characterized by high malignancy, high recurrence rate and poor survival …
[HTML][HTML] Differentiation of low-grade astrocytoma from anaplastic astrocytoma using radiomics-based machine learning techniques
B Chen, C Chen, J Wang, Y Teng, X Ma, J Xu - Frontiers in Oncology, 2021 - frontiersin.org
Purpose To investigate the diagnostic ability of radiomics-based machine learning in
differentiating atypical low-grade astrocytoma (LGA) from anaplastic astrocytoma (AA) …
differentiating atypical low-grade astrocytoma (LGA) from anaplastic astrocytoma (AA) …