Magnetic Resonance Spectroscopy for Prediction of Grades of Diffusely Infiltrating Intracranial Astrocytomas

Author:

Abu Obaida1,Rahman Asifur1,Khan Robert1,Alam Shamsul1,Barua Kanak1,Chaurasia Bipin1

Affiliation:

1. Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh

Abstract

Abstarct Objective Gliomas, the most frequent primary brain tumors, have various grades, among which grade II, III, and IV are diffusely infiltrating astrocytomas. As therapeutic approaches and outcome differ considerably, depending on the grade of these tumors, prediction is important regarding outcome. Magnetic resonance spectroscopy (MRS) can be of help in understanding of the biochemical changes of pathological state to study, monitor, predict grading and outcome of gliomas. Materials and Methods All the 30 patients in the study with intracranial diffusely infiltrating astrocytoma had MRS study using 1.5 Tesla MR scanner. The study population was divided into three groups on the basis of the grades of the tumor according to histopathology. Mean height of choline (Ch), N-acetyl aspartate (NAA), creatine (Cr) peak, and choline/creatine (Ch/Cr) ratio was documented. Mean value of each variable among three grades was analyzed and compared with analysis of variance (ANOVA) test (F-test). Results There was positive relationship regarding Ch/Cr ratio among astrocytomas grade II to IV and the result was significant (p = 0.047). A positive relationship of Ch peak was also observed for grade II to IV astrocytoma, though the result was not significant (p = 0.578). The result was nonsignificant for NAA (p = 0.696) and Cr (p = 0.740) peak also. Conclusion We recommend Ch/Cr ratio to be considered as a dependable MRS data to comment on low- or high-grade astrocytomas. MRS can be done as a routine investigation in the developing countries for astrocytomas where other facilities are less accessible for reliable prediction and counseling.

Publisher

Georg Thieme Verlag KG

Subject

Clinical Neurology,General Neuroscience

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