2021
DOI: 10.3389/fonc.2021.748229
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Lower-Grade Gliomas: An Epidemiological Voxel-Based Analysis of Location and Proximity to Eloquent Regions

Abstract: BackgroundGlioma is the most common intra-axial tumor, and its location relative to critical areas of the brain is important for treatment decision-making. Studies often report tumor location based on anatomical taxonomy alone since the estimation of eloquent regions requires considerable knowledge of functional neuroanatomy and is, to some degree, a subjective measure. An unbiased and reproducible method to determine tumor location and eloquence is desirable, both for clinical use and for research purposes.Ob… Show more

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Cited by 7 publications
(3 citation statements)
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References 64 publications
(76 reference statements)
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“…Among 80 percent of LGGs and secondary glioblastoma accompanied with IDH1-mut character are usually younger than people with IDH1-wt. The proportion of temporal lobe tumors is significantly higher in IDH1-wt glioma, which often has histopathological features of oligodendroglioma 8,31 . Combined with the postoperative molecular pathology, we found that about 1/5 of the patients required a revised diagnosis.…”
Section: Discussionmentioning
confidence: 99%
“…Among 80 percent of LGGs and secondary glioblastoma accompanied with IDH1-mut character are usually younger than people with IDH1-wt. The proportion of temporal lobe tumors is significantly higher in IDH1-wt glioma, which often has histopathological features of oligodendroglioma 8,31 . Combined with the postoperative molecular pathology, we found that about 1/5 of the patients required a revised diagnosis.…”
Section: Discussionmentioning
confidence: 99%
“…Standard preprocessing was done using Functional Magnetic Resonance Imaging of the Brain Software Library (FLS) as described previously. 44 MRIs were individually registered to the Montreal Neurological Institute (MNI) space, of which the T1 symmetric MNI 09a was used as registration target. 45 Tumor segmentations and MRIs transformed to MNI space were individually controlled for errors or unexpected deformations by raters with experience in glioma image analysis (A.C., A.N., and T.G.V.).…”
Section: Methodsmentioning
confidence: 99%
“…Anatomical magnetic resonance imaging (MRI) T2-weighted image (T2) or fluid-attenuated inversion-recovery (FLAIR) sequences were used to assess tumor volume using software 3D Slicer (15) according to our previously reported method (16). Multifocal lesions were classified according to the largest tumor.…”
Section: Methodsmentioning
confidence: 99%