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HAYASHI Motohiro
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Professor |
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| Article types | Other |
| Language | English |
| Peer review | Non peer reviewed |
| Title | Spectroscopy and navigation |
| Journal | Formal name：J Neurosurg ISSN code：00223085 |
| Volume, Issue, Page | 102(2),pp.402-403 |
| Author and coauthor | CHERNOV Mikhail†, MURAGAKI Yoshihiro, OCHIAI Taku, MARUYAMA Takashi, IZAWA Masahiro, HAYASHI Motohiro, ONO Yuko, KUBO Osami, HORI Tomokatsu |
| Publication date | 2005/03 |
| Summary | Object. It is often difficult to delineate the extent of invasion of high- and low-grade gliomas into normal brain tissue by using conventional T-1- and T-2-weighted magnetic resonance (MR) imaging. Knowledge of the relationship between the tumor infiltration zone and normal brain, however, is one of the prerequisites for performing as radical a tumor resection as possible. Proton MR spectroscopy allows noninvasive measurements of the concentrations and spatial distributions of brain metabolites and, therefore, may provide biochemical information in vivo, that is useful in distinguishing pathological from normal areas of the brain. The authors have developed a method to use the properties of MR spectroscopy to investigate intraoperatively pathological changes in the spatial distribution of choline (Cho)-containing compounds, total creatine, and N-acetyl-aspartate (NAA) in brain tumors with the aid of frameless stereotaxy. Methods. Maps of the Cho/NAA ratio were calculated and automatic segmentation of the tumors was performed. Spectroscopic images of the segmented tumor were matched to an anatomical three-dimensional (3D) MR imaging set by applying a fully automated mutual-information algorithm. The resulting 3D MR image can be used subsequently for neurosurgical planning, transfer to a frameless stereotactic system, and display in the navigation microscope during surgery leading to H-1-MR spectroscopy-guided navigation. Conclusions. This method may allow better intraoperative identification of tumor border zones based on metabolic changes due to tumor infiltration. |
| DOI | 10.3171/jns.2005.102.2.0402 |
| Document No. | 15739576 |
| PMID | 15739576 |