Brain Tumours and Their Metabolic Profiles by Magnetic Resonance Spectroscopy

Manah Chandra Changmai; Mohammed Faruque Reza; Zamzuri Idris; Regunath Kandasamy; Kastury Gohain

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Brain Tumours and Their Metabolic Profiles by Magnetic Resonance Spectroscopy

Author: Manah Chandra Changmai ¹ ; Mohammed Faruque Reza ¹ ; Zamzuri idris ¹ ; Regunath Kandasamy ¹ ; Kastury Gohain ²
Author Information

1. Department of Neurosciences, School of Medical Sciences, University Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
2. Faculty of Business Management and Professional studies, Management and Science University, 40100 Shah Alam, Selangor, Malaysia
Publication Type:Journal Article
Keywords: Brain, Metastasis, Glioblastomas, Meningioma, Magnetic resonance spectroscopy
From:Malaysian Journal of Medicine and Health Sciences 2020;16(No.3, September):162-168
CountryMalaysia
Language:English
Abstract: Introduction: Intracranial brain tumour like meningiomas and glioblastomas are most prevalent tumour. The metastasis to the brain is one of the major issues in the tumours of the central nervous system. The diagnosis of metastatic and primary brain tumour is incomprehensible with standard magnetic resonance imaging (MRI). The magnetic resonance spectroscopy (MRS) is basically performed in standard clinical setting for diagnosing and tracking the brain tumour. Method: It is a retrospective study containing 53 patients with MRS. The patients with metastatic tumour (n=10), glioblastomas (n=8) and meningiomas (n=20) are included in the study. Single voxel technique is applied in the tumour core to determine the metabolites. The tumour N-acetyl aspartate (NAA), Choline (Cho), Creatine (Cr), Lactate, Alanine and lipids were analysed. The ratios of NAA/Cr, Cho/NAA and Cho/Cr were recorded and compared between the three tumours. The metabolites were detected between short echo time (TE) to long echo time (TE) during MRS. Results: There is a sharp fall of NAA peak in metastatic tumour. The resonance of creatine, lactate and alanine is higher in glioblastomas. A high lipid mean value of 3.13(0.17) is seen in metastatic tumour. The ROC curve shows a low NAA/Cr specificity of 46.7%, high sensitivity of 83.3% in Cho/NAA and Cho/Cr ratio. Conclusion: The metabolic profiles of metastatic brain tumour, glioblastomas and meningioma illustrate a divergence in their description that will assist in planning therapeutic and surgical intervention of these tumours.
Full text:11.2020my08371.pdf