MRI Grading as a Predictive Tool for Histopathological Grading in Supratentorial Meningiomas: A Prospective Study

Authors

  • Md Nasir Uddin Consultant, Department of Neurosurgery, Evercare Hospital Chattogram, Bangladesh
  • Dipankar Ghosh Registrar, Department of Neurosurgery, Khulna Medical College Hospital, Khulna, Bangladesh
  • Saiful Hoque Assistant Professor, Department of Neurosurgery, Comilla Medical College, Comilla, Bangladesh
  • Asit Chandra Sarker Professor & Head (Ex), Department of Neurosurgery, Dhaka Medical College, Dhaka, Bangladesh

DOI:

https://doi.org/10.3329/bjns.v14i2.89030

Keywords:

Meningioma, Magnetic Resonance Imaging, Histopathological Grade.

Abstract

Introduction: Meningiomas are common intracranial tumors, and accurate preoperative  assessment is crucial for optimal management. Magnetic resonance imaging (MRI) is a  valuable tool for assessing meningiomas, and recent studies have suggested that MRI  features may be predictive of histopathological grade. Objective: To evaluate the utility of  MRI grading as a predictive tool for histopathological grading in supratentorial meningiomas.  Methods: This cross-sectional study was conducted from July 2019 to December  2020 at the Department of Neurosurgery of Dhaka Medical College and Hospital. A total  of 43 patients with supratentorial meningiomas underwent resection. Preoperative MRI  features were analyzed, and the relationships between MRI features and WHO  histopathological grade were quantitatively scored. Results: Most of the 43 patients  included in the study were female (67.4%). The mean age was 52.3 years. WHO grade I  meningiomas were the most common (58.1%), followed by grade II (23.3%) and grade III  (18.6%). Specific MRI features, including tumor size, location, and enhancement pattern,  are significantly associated with histopathological grade. The quantitative scoring system  demonstrated a high predictive value for distinguishing between low and high-grade  meningiomas. Conclusions: MRI grading shows promise as a predictive tool for  histopathological grading in supratentorial meningiomas. Further research with larger  sample sizes is warranted to validate these findings and potentially integrate MRI grading  into routine clinical practice.

Bang. J Neurosurgery 2025; 14(2):  132-137                              

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Published

2026-04-23

How to Cite

Uddin, M. N., Ghosh, D., Hoque, S., & Sarker, A. C. (2026). MRI Grading as a Predictive Tool for Histopathological Grading in Supratentorial Meningiomas: A Prospective Study. Bangladesh Journal of Neurosurgery, 14(2), 132–137. https://doi.org/10.3329/bjns.v14i2.89030

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Section

Original Articles