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Radiation Effects on Normal Brain in Subjects With Recurrent Glioblastoma by Spectroscopic MRI.
Abram Abdou1, Sulaiman Sheriff2,3, Kelly Rojas3
1Department of Biomedical Engineering, University of Miami, Coral Gables, Florida, USA.
NMR in Biomedicine
|May 5, 2026
Summary
Prior radiation therapy modestly elevates the choline/N-acetylaspartate ratio in recurrent glioblastoma, mainly by reducing N-acetylaspartate. Dose-corrected metabolic maps may improve tumor delineation in these patients.
Area of Science:
- Neuro-oncology
- Radiology
- Biochemistry
Background:
- Glioblastoma (GBM) is an aggressive primary brain tumor with a high recurrence rate.
- Conventional MRI struggles to differentiate recurrent GBM from treatment effects.
- Spectroscopic MRI (sMRI) offers metabolic information, with choline (Cho) and N-acetylaspartate (NAA) ratios used to assess tissue abnormality.
Purpose of the Study:
- To investigate if prior radiation therapy (RT) alters baseline metabolic ratios in recurrent GBM.
- To determine the relationship between radiation dose and metabolite levels (Cho, NAA, Cr) in recurrent GBM.
- To assess the potential of dose-corrected metabolic maps for improved tumor delineation.
Main Methods:
- Retrospective analysis of 20 recurrent GBM patients treated with surgery, RT, and temozolomide.
- Whole-brain sMRI performed at recurrence, with co-registration to radiation dose maps.
- Voxel-wise linear regression to correlate radiation dose with normalized Cho/NAA, NAA, and Cr levels.
Main Results:
- Higher prior RT dose was significantly associated with reduced NAA and Cr levels.
- Cho levels showed minimal change with increasing radiation dose.
- Normalized Cho/NAA ratio increased with radiation dose (0.0018/Gy), indicating a shift in metabolic profile.
Conclusions:
- Prior RT modestly elevates the baseline Cho/NAA ratio in recurrent GBM, primarily due to NAA reduction.
- Standard Cho/NAA thresholds may misinterpret irradiated tissue as metabolically abnormal.
- Dose-corrected Cho/NAA maps could enhance the accuracy of tumor delineation in recurrent GBM.

