A study of space occupying lesions of brain with magnetic resonance spectroscopy
Journal Title: MedPulse -International Medical Journal - Year 2015, Vol 2, Issue 11
Abstract
Introduction: Magnetic resonance imaging (MRI) is an excellent method for anatomical and structural diagnosis of the brain, but it does not provide functional or metabolic information. Magnetic resonance spectroscopy (MRS) is used to detect the metabolic and biochemical profile of brain areas. MRS is an analytical method used in chemistry that enables the identification and quantification of metabolites in samples. It differs from conventional MRI in that spectra provide physiological and chemical information instead of anatomy. Aims and Objectives: To Study Space Occupying Lesions (SOL) of Brain with Magnetic Resonance Spectroscopy with Choline and Creatine as Metabolite. Materials and Methods: Prior to the commencement of the study, the ethical clearance was obtained from the Ethics Committee, MGM Medical College and Hospital, Aurangabad. Study was conducted in the Department of Radiology, MGM Medical College and Hospital, Aurangabad, Cross sectional study. The study was done in a period of 1 year from January 2013 to December 2013.A total of 45 Patients were included in the study. Biochemical metabolites and their ratios are evaluated on single or multi-voxel spectroscopy. Result: Majority of the SOL patients were from <10 yrs. age group i.e. 22.3% followedby 40-50 (20.0%); 30-40 (17.8%); 10-20 (15.5%); 20-30 (13.3%);>50 (11.1%) respectively. Majority of the patents were Male i.e. 65.5% followed by 35.5% Females. Maximum number of patients of infective granulomas/abscess (58.33%) had a choline a ratio between 0.9-1.2.Maximum number of patientswith brain tumors( 25.81 %) had a Cho/Cr ratio between 2.1-2.5 followed by 19.35 % of patients with ratio >5. Conclusion: Using a choline to creatine ratio of 2.0 as the cut off, the sensitivity, specificity, positive predictive valve, negative predictive valve and accuracy of spectroscopy in differentiating neoplasms from non-neoplastic etiologies was 93.47%, 91.17%, 93.47%, 91.17% and 92.5% respectively, So these methods can be applied to Diagnose SOL much accurately.
Authors and Affiliations
Vikas Singh, P S Mishrikotkar, Gaurav Sharma, Neha Singhal, Pushan Sharma
Keywords
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