| (1)H-MRS of intracranial meningiomas: What it can add to known clinical and MRI predictors of the histopathological and biological characteristics of the tumor? | |
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MedLine Citation:
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PMID: 21144647 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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OBJECTIVE: The main goal of the present study was evaluation of proton magnetic resonance spectroscopy ((1)H-MRS) in diagnosis of histopathologically aggressive intracranial meningiomas. METHODS: Single-voxel (1)H-MRS of 100 intracranial meningiomas was performed before their surgical resection. Investigated metabolites included mobile lipids, lactate, alanine, N-acetylaspartate (NAA), and choline-containing compounds (Cho). According to criteria of World Health Organization (WHO) 82 meningiomas were assigned histopathological grade I, 11 grade II, and 7 grade III. The MIB-1 index varied from 0% to 27.3% (median, 1.6%). In 43 cases tight adhesion of the tumor to the pia mater or brain tissue was macroscopically identified at surgery. The consistency of 49 meningiomas was characterized as soft, 26 as hard, and 25 as mixed. RESULTS: No one metabolic parameter had statistically significant association with histopathological grade and subtype, invasive growth, and consistency of meningioma. Univariate statistical analysis revealed greater (1)H-MRS-detected Cho content (P=0.0444) and lower normalized NAA/Cho ratio (P=0.0203) in tumors with MIB-1 index 5% and more. However, both parameters lost their statistical significance during evaluation in the multivariate model along with other clinical and radiological variables. It was revealed that non-benign histopathology of meningioma (WHO grade II/III) is mainly predicted by irregular shape (P=0.0076) and large size (P=0.0316), increased proliferative activity by irregular shape (P=0.0056), and macroscopically invasive growth by prominent peritumoral edema (P=0.0021). CONCLUSION: While (1)H-MRS may be potentially used for the identification of meningiomas with high proliferative activity, it, seemingly, could not add substantial diagnostic information to other radiological predictors of malignancy in these tumors. |
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Authors:
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Mikhail F Chernov; Hidetoshi Kasuya; Kotaro Nakaya; Koichi Kato; Yuko Ono; Shigetoshi Yoshida; Yoshihiro Muragaki; Takashi Suzuki; Hiroshi Iseki; Osami Kubo; Tomokatsu Hori; Yoshikazu Okada; Kintomo Takakura |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2010-12-6 |
Journal Detail:
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Title: Clinical neurology and neurosurgery Volume: - ISSN: 1872-6968 ISO Abbreviation: - Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-12-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7502039 Medline TA: Clin Neurol Neurosurg Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2010 Elsevier B.V. All rights reserved. |
Affiliation:
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International Research and Educational Institute for Integrated Medical Sciences (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan; Department of Neurosurgery, Neurological Institute, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan; Diagnostic and Treatment Center, International Institute of the Biological Systems, Udelny ave. 22a, Saint-Petersburg 194214, Russian Federation. |
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