Current clinical brain tumor imaging
JE Villanueva-Meyer, MC Mabray, S Cha - Neurosurgery, 2017 - journals.lww.com
Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post-
therapy assessment of brain tumors. This review provides an overview of current magnetic …
therapy assessment of brain tumors. This review provides an overview of current magnetic …
Pseudoprogression of brain tumors
SC Thust, MJ van den Bent… - Journal of Magnetic …, 2018 - Wiley Online Library
This review describes the definition, incidence, clinical implications, and magnetic
resonance imaging (MRI) findings of pseudoprogression of brain tumors, in particular, but …
resonance imaging (MRI) findings of pseudoprogression of brain tumors, in particular, but …
[HTML][HTML] Glioma imaging in Europe: A survey of 220 centres and recommendations for best clinical practice
Abstract Objectives At a European Society of Neuroradiology (ESNR) Annual Meeting 2015
workshop, commonalities in practice, current controversies and technical hurdles in glioma …
workshop, commonalities in practice, current controversies and technical hurdles in glioma …
[HTML][HTML] Advanced imaging techniques for newly diagnosed and recurrent gliomas
LR Carrete, JS Young, S Cha - Frontiers in Neuroscience, 2022 - frontiersin.org
Management of gliomas following initial diagnosis requires thoughtful presurgical planning
followed by regular imaging to monitor treatment response and survey for new tumor growth …
followed by regular imaging to monitor treatment response and survey for new tumor growth …
Clinical applications of arterial spin labeling in brain tumors
AAKA Razek, M Talaat, L El-Serougy… - Journal of computer …, 2019 - journals.lww.com
The aim of this review was to review the basic background, technique, and clinical
applications of arterial spin labeling in brain tumors. Arterial spin labeling is used for …
applications of arterial spin labeling in brain tumors. Arterial spin labeling is used for …
The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: a systematic review and meta-analysis
Q Wang, H Zhang, JS Zhang, C Wu, WJ Zhu, FY Li… - European …, 2016 - Springer
Objective Magnetic resonance spectroscopy (MRS) is a powerful tool for preoperative
grading of gliomas. We performed a meta-analysis to evaluate the diagnostic performance of …
grading of gliomas. We performed a meta-analysis to evaluate the diagnostic performance of …
[HTML][HTML] Preoperative diagnosis and molecular characterization of gliomas with liquid biopsy and radiogenomics
C Balana, S Castañer, C Carrato, T Moran… - Frontiers in …, 2022 - frontiersin.org
Gliomas are a heterogenous group of central nervous system tumors with different outcomes
and different therapeutic needs. Glioblastoma, the most common subtype in adults, has a …
and different therapeutic needs. Glioblastoma, the most common subtype in adults, has a …
Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas
L El-Serougy, AAK Abdel Razek… - The …, 2016 - journals.sagepub.com
Aim The aim of this article is to assess diffusion tensor imaging (DTI) metrics in differentiating
low-grade from high-grade gliomas. Patients and methods A prospective study was …
low-grade from high-grade gliomas. Patients and methods A prospective study was …
[HTML][HTML] Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional …
Objectives To investigate if quantitative apparent diffusion coefficient (ADC) measurements
can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole …
can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole …
[HTML][HTML] Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a …
We sought to investigate, whether texture analysis of diffusional kurtosis imaging (DKI)
enhanced by support vector machine (SVM) analysis may provide biomarkers for gliomas …
enhanced by support vector machine (SVM) analysis may provide biomarkers for gliomas …