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Published on: July 31, 2017
Imaging characteristics of oligodendrogliomas that predict grade
L Khalid1, M Carone, N Dumrongpisutikul
1Russell H. Morgan Department of Radiology and Radiological Services, The Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
AJNR. American Journal of Neuroradiology
|January 24, 2012
Summary
Imaging features like contrast enhancement and ADC values can help predict oligodendroglioma grade. Lower ADC values and enhancement indicate higher-grade tumors, aiding diagnosis and prognosis.
Area of Science:
- Neuroradiology
- Oncology
- Medical Imaging
Background:
- Oligodendrogliomas are brain tumors with variable WHO grades.
- Tumor grade influences treatment strategies and patient prognosis.
Purpose of the Study:
- To retrospectively evaluate imaging features for predicting oligodendroglioma tumor grade.
- To correlate imaging findings with histologic tumor grade.
Main Methods:
- Retrospective review of 75 oligodendroglioma patient imaging studies.
- Evaluation of contrast enhancement, calcification, and apparent diffusion coefficient (ADC) values.
- Logistic linear regression models to assess the relationship between imaging factors and tumor grade.
Main Results:
- Tumor enhancement was significantly associated with higher grade (72.4% of grade III vs. 19.6% of grade II).
- Grade III tumors exhibited lower ADC values (cutoff of 925 x 10⁻⁶ mm²/s) with 78.7% accuracy.
- Combined imaging features (ADC, enhancement, calcification) improved predictive accuracy up to 82.2%.
Conclusions:
- Imaging models incorporating contrast enhancement, calcification, and ADC values can aid in predicting oligodendroglioma grade.
- These models can guide biopsy site selection, detect potential sampling errors, and inform prognosis.
