Introduction
MR spectroscopy provides noninvasive metabolic information about brain tissue by measuring concentrations of metabolites such as N acetylaspartate choline and creatine. Spectroscopy aids in tumor characterization metabolic disorders and treatment monitoring. Acquisition and interpretation require specialized expertise and quality control.
Clinical Applications
Spectroscopy helps differentiate tumor recurrence from radiation necrosis and supports grading of gliomas when combined with conventional MRI. It is useful in metabolic and mitochondrial disorders and in evaluating demyelinating disease. Multivoxel spectroscopy provides spatial metabolic maps for surgical planning.
Technical Considerations
Spectroscopy is sensitive to voxel placement shimming and contamination from lipids and water which can obscure spectra. Standardized acquisition parameters and postprocessing improve reliability. Interpretation must consider clinical context and correlate with other imaging modalities.
Future Prospects
Higher field strengths and improved spectral editing techniques may enhance detection of low concentration metabolites. Integration with quantitative imaging biomarkers and machine learning may improve diagnostic accuracy. Wider clinical adoption depends on streamlined acquisition and robust interpretation guidelines.