| Literature DB >> 28862550 |
Ryuichi Hirayama1, Manabu Kinoshita1,2, Hideyuki Arita1, Naoki Kagawa1, Haruhiko Kishima1, Naoya Hashimoto1, Yasunori Fujimoto1, Toshiki Yoshimine1.
Abstract
OBJECTIVE In the present study the authors aimed to determine preferred locations of meningiomas by avoiding descriptive analysis and instead using voxel-based lesion mapping and 3D image-rendering techniques. METHODS Magnetic resonance images obtained in 248 treatment-naïve meningioma patients with 260 lesions were retrospectively and consecutively collected. All images were registered to a 1-mm isotropic, high-resolution, T1-weighted brain atlas provided by the Montreal Neurological Institute (the MNI152), and a lesion frequency map was created, followed by 3D volume rendering to visualize the preferred locations of meningiomas in 3D. RESULTS The 3D lesion frequency map clearly showed that skull base structures such as parasellar, sphenoid wing, and petroclival regions were commonly affected by the tumor. The middle one-third of the superior sagittal sinus was most commonly affected in parasagittal tumors. Substantial lesion accumulation was observed around the leptomeninges covering the central sulcus and the sylvian fissure, with very few lesions observed at the frontal, parietal, and occipital convexities. CONCLUSIONS Using an objective visualization method, meningiomas were shown to be located around the middle third of the superior sagittal sinus, the perisylvian convexity, and the skull base. These observations, which are in line with previous descriptive analyses, justify further use of voxel-based lesion mapping techniques to help understand the biological nature of this disease.Entities:
Keywords: 3D visualization; FSL-FLIRT = FSL Linear Image Registration Tool; JBTR = Japan Brain Tumor Registry; MNI152 = Montreal Neurological Institute brain atlas; MNI152 coordinates; Mango = Multiimage Analysis GUI; NF2 = neurofibromatosis Type 2; NIfTI = Neuroimaging Informatics Technology Initiative; UCSF = University of California, San Francisco; lesion location preference; meningioma; oncology; voxel-based lesion mapping
Mesh:
Year: 2017 PMID: 28862550 DOI: 10.3171/2017.3.JNS17169
Source DB: PubMed Journal: J Neurosurg ISSN: 0022-3085 Impact factor: 5.115