Umar Amin, Ahson Ahmad, Saima Ather, Athar Ahmed.
Diagnostic accuracy of magnetic resonance spectroscopy in diagnosing glioblastoma by taking histopathology as a gold standard.
Pak J Radiol Jan ;29(1):14-9.

ABSTRACT INTRODUCTION Glioblastoma (GBM) is the most aggressive brain tumor, and despite multimodal treatment with surgery, radiation and chemotherapy patients generally show incurable relapse of disease. GBMs generally display rapid cell proliferation and inadequate vascularization leading frequently to tumor areas with insufficient oxygen supply. objectives - To determine the diagnostic accuracy of magnetic resonance spectroscopy (MRS) in diagnosing Glioblastoma by taking histopathology as a gold standard. setting Department of Radiology, Shifa International Hospital, Islamabad. STUDY design Cross-sectional descriptive study subjects and methods Duration of study was six months from 19-12-2017 to 18-06-2018.A total of 83 patients were included in the study. MR Spectroscopy was performed through single voxel technique in all these patients. Initially, post contrast conventional MR imaging was done to localize the lesion and then voxel was placed on volume of interest. Specimens of patients undergoing intracranial biopsy in Shifa international hospital Islamabad were sent for histopathological analysis in pathology department and findings of MRS were compared with histopathology report. results Patents ranged between 30-70 years of age. Mean age of the patients was 52.212.6 years. There were 49 males (59%) and 34 females (51%). Mean duration of disease was 2.01.7 year and mean size of lesion was 54.326.9mm. Diagnostic accuracy of MR spectroscopy in diagnosing Glioblastoma showed sensitivity 90.7%, specificity 94.4%, positive predictive value 98.3%, negative predictive value 73.9% and diagnostic accuracy was 91.5%. Stratification with regard to age, gender, duration of disease and size of lesion was carried out. CONCLUSION In conclusion, present study demonstrated a clear advantage of magnetic resonance spectroscopy for diagnosis of glioblastoma with sensitivity 90.7%, specificity 94.4% and diagnostic accuracy 91.5%.

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