The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors
Language English Country Germany Media print-electronic
Document type Comparative Study, Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Choline analysis MeSH
- Diffusion Magnetic Resonance Imaging methods MeSH
- Child MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Spectroscopy methods MeSH
- Biomarkers, Tumor analysis MeSH
- Brain Neoplasms diagnosis metabolism MeSH
- Protons MeSH
- Reproducibility of Results MeSH
- Aged MeSH
- Sensitivity and Specificity MeSH
- Statistics as Topic MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
- Names of Substances
- Choline MeSH
- Biomarkers, Tumor MeSH
- Protons MeSH
OBJECTIVE: The aim of this study was to develop a method for evaluating the spatial distribution of human brain gliomas in individual subjects by evaluating the correlation between the Choline (Cho) signal intensity and the diffusion trace (Tr(ADC)) values. MATERIALS AND METHODS: Eleven patients with different histopathologic diagnoses and five healthy subjects were examined with diffusion-weighted EPI-trace sequence and (1)H MR spectroscopic imaging. The calculation of the correlation between choline and Tr(ADC) values on a pixel-by-pixel basis and simulations estimating the influence of partial volume effects on the result were performed. RESULTS: Statistical evaluation of the data in the patients with a glioblastoma showed that pixels corresponding to different tissue states are situated in different areas in the Cho-Tr(ADC) correlation graph. Namely, points forming an inverse linear dependence interpreted as an area of an active tumor were observed. Different types of correlations were found in grade II and III gliomas. No statistically significant correlation was found in healthy subjects. Simulations proved that the observed linear dependence cannot be attributed solely to partial volume effects. CONCLUSION: The analysis of the correlation between Cho concentrations and Tr(ADC) values on a pixel-by-pixel basis should help the regional identification of the pathological state of a tissue in patients with a glioblastoma.
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