Correlation of degree and pattern of contrast enhancement on Magnetic Resonance Imaging with histopathological grade of intracranial astrocytoma
Background/Objective: Astrocytomas, a type of glioma, require accurate grading to guide treatment. This study evaluates the correlation between MRI contrast enhancement and histopathological grades of astrocytomas. Methods: A cross-sectional study of 37 patients with biopsy-confirmed astrocytomas was conducted. Non-probability or purposive sampling was carried out. MRI scans assessed contrast enhancement characteristics, and tumors were classified radiologically and histopathologically. Results: The age range of the patients was 11 to 74 years and mean age was 40.25±16.04 years. The male to female ratio was 4:1. Headache was the most common presenting symptoms (95%). Most of the tumors were located at the cerebral hemispheres (78%). None or slight contrast enhancement was found in 17 (46%) and the pattern of contrast enhancement was heterogeneous in 24 (65%) patients. Maximum 20 (54%) patients had high grade astrocytoma. In the present study, 85% high grade astrocytoma showed moderate to marked whereas 82.4% low grade astrocytoma showed none or slight contrast enhancement. Sensitivity & specificity of contrast enhanced MRI was 82.4% and 85% respectively. The overall accuracy was 83.78%. Conclusion: MRI is a reliable non-invasive tool for grading astrocytomas, with strong correlation between contrast enhancement and tumor grade, supporting its use in clinical decision-making. J Shaheed Suhrawardy Med Coll 2023; 15(1): 13-19
Authors
- Sabrina Shafiq
- Mohammad Nuruzzaman Khan (ORCID: https://orcid.org/0000-0002-3115-8113)
- Sk Sader Hossain
- Syed Shahreor Razzaque
Institutions
- Bangladesh Medical University (BD)
- Shaheed Suhrawardy Medical College (BD)
- Dhaka Medical College and Hospital (BD)
Publication Details
- Journal
- Journal of Shaheed Suhrawardy Medical College
- Published
- 2024-10-27
- DOI
- https://doi.org/10.3329/jssmc.v15i1.76745
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00