Intracranial Gliomas: Association between MRI Features and Tumor Grade

Authors

  • Md Rokibul Islam Medical Officer, Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University, Dhaka
  • KM Tarikul Islam Associate Professor, Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University, Dhaka
  • Moshiur Rahman Assistant professor, Department of Neurosurgery, Holy Family Red Crescent Medical College & Hospital, Dhaka
  • Mohammad Hossain Associate Professor, Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University, Dhaka
  • Raziul Haque Professor, Department of Neurosurgery, Dhaka Medical College & Hospital, Dhaka
  • ATM Mosharef Hosain Professor & Chairman, Department of Neurosurgery, Bangabandhu Sheikh Mujib Medical University, Dhaka

DOI:

https://doi.org/10.3329/bjns.v8i2.42351

Keywords:

MRI (magnetic Resonance Imaging), Gliomas, Astrocytoma, Glioblastoma

Abstract

Purpose: Intracranial gliomas are not uncommon in our country. The therapeutic management and prognosis in patients with gliomas depend on the reliable distinction between high and low-grade gliomas. The purpose of the present study was to determine whether any association exists between various individual MR imaging features and histopathologically determined tumor grade of intracranial gliomas. Our target was to explore whether MRI could enable correct determination the grading of gliomas which will help early diagnosis, staging, grade assessing, determining the appropriate treatment, preoperative planning for surgical resection and post operative management plan.

Materials and Methods: It was a cross sectional type of observational study. This study was conducted on 44 cases of intracranial gliomas. Only patients having histopathologically proven intracranial gliomas who underwent surgery or stereotactic biopsy were considered as a study population.

Results: The present study revealed that there is significant association between the MR imaging features and histopathological grading of intracranial gliomas. Contrast enhancement in MRI showed most significant (p<0.001). Other significant MR imaging features were peritumoral edema (p=0.001), tumor border definition (p=0.001), necrosis or cystic change of tumor (p=0.001) and mass effect (p=0.003). In this study preoperative MRI diagnosis was correct in 39 patients with accuracy of 88.6%. Sensitivity, specificity, positive predictive value and negative predictive value of MRI in detecting tumor grade were 86.4%, 90.9%, 90.5% and 87% respectively.

Conclusion: MRI is sensitive, specific and accurate in assessing the grade of gliomas. Contrast enhancement is the most important predictor. Peritumoral edema, tumor border definition, mass effect and necrosis/cystic changes of tumor are also important indicators of tumor grade.

Bang. J Neurosurgery 2019; 8(2): 93-99

Downloads

Download data is not yet available.
Abstract
2
PDF
0

Downloads

Published

2019-07-24

How to Cite

Islam, M. R., Islam, K. T., Rahman, M., Hossain, M., Haque, R., & Hosain, A. M. (2019). Intracranial Gliomas: Association between MRI Features and Tumor Grade. Bangladesh Journal of Neurosurgery, 8(2), 93–99. https://doi.org/10.3329/bjns.v8i2.42351

Issue

Section

Original Articles