Predictive Biomarkers of Brain tumor Lesions through Correlation of Histopathological changes with Metabolites by Magnetic Resonance Spectroscopy

Background: brain tumors like intracranial metastases, meningioma, gliomas, etc are the most prevalent brain tumors. magnetic resonance spectroscopy (mrs) helps in the differentiation of high grade, low grade brain tumors, brain neoplasms, etc. materials and methods: this study was conducted in the radiology department of one of the major tertiary health care centers in south kerala. patients suspected of brain tumors were subjected to both mrs and histopathological examinations after the surgery. a total of 69 patients were included. histopathological findings were evaluated and grouped as benign, atypical, and anaplastic tumors and correlated with mrs findings. statistical analysis was done by spss version 16. friedman test was used for comparison. results: in this study, mrs images of 69 brain tumor lesions were studied and compared for metabolic ratios and pathogenesis. mrs spectrum gives different peaks of specific metabolites of brain tumors like lipid, alanine, lactate, glycine, glutamate /glutamine, myoinositol, etc. histopathological results also show different pathological findings. conclusions: magnetic resonance spectroscopy has a wide range of sensitivity to and is evaluate the different metabolites of brain lesions. the quantification of tissue metabolites can potentially identify the pathological change, at the biochemical level which creates further therapeutic interventions.