Multivoxel MR spectroscopic imaging--distinguishing intracranial tumours from non-neoplastic disease
Annals of the Academy of Medicine, Singapore
; : 309-313, 2007.
Article
in En
| WPRIM
| ID: wpr-250825
Responsible library:
WPRO
ABSTRACT
<p><b>INTRODUCTION</b>Multi-voxel MR spectroscopic imaging (MRSI) provides chemical metabolite information that can supplement conventional MR imaging in the study of intracranial neoplasia. Our purpose was to use a robust semi-automated spectroscopic analysis to distinguish intracranial tumours from non-neoplastic disease.</p><p><b>MATERIALS AND METHODS</b>Twenty intracranial tumours and 15 patients with non-neoplastic disease confirmed on histological examination or serial neuroimaging were studied with 2-dimensional MRSI using point-resolved spectroscopic (PRESS) imaging localisation. Using semi-automated post-processing software, spectra were analysed for peak heights of choline (Cho), creatine (Cr), N-acetyl aspartate (NAA), lactate (Lac) and lipid (Lip). Normalised Cho (nCho) ratios, computed by dividing maximum Cho in the lesion by the normal-appearing brain, were compared between intracranial tumours and non-neoplastic disease.</p><p><b>RESULTS</b>Meningiomas displayed homogeneously elevated Cho. Malignant tumours, especially large glioblastoma multiforme, displayed inhomogeneity of metabolites within the tumour. All tumours had elevation of nCho >1 (mean 1.91 +/- 0.65), and non-neoplastic diseases had tumour nCho <1 (mean 0.91 +/- 0.46), which was significantly lower (P <0.05). Two patients with non-neoplastic lesions, one with subacute cerebral infarction and the other with cryptococcoma, had elevated Cho compared to normal tissue (false positive rate 13%).</p><p><b>CONCLUSION</b>Using semi-automated MRSI method, a simplified normalised Cho algorithm provides a method to distinguish intracranial tumours from non-neoplastic disease.</p>
Full text:
1
Index:
WPRIM
Main subject:
Brain Neoplasms
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Magnetic Resonance Spectroscopy
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Biomarkers, Tumor
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Retrospective Studies
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Diagnosis
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Diagnosis, Differential
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Metabolism
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Methods
Type of study:
Diagnostic_studies
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Observational_studies
Limits:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
Language:
En
Journal:
Annals of the Academy of Medicine, Singapore
Year:
2007
Type:
Article