Cystathionine Detection via Proton Magnetic Resonance Spectroscopy (¹H-MRS) for the Diagnosis of Oligodendroglioma: A Case Report
Bibliographic record
Abstract
Oligodendroglioma, IDH-mutant and 1p/19q-codeleted, is a subtype of adult-type diffuse gliomas that demonstrates a favorable prognosis and chemosensitivity. Typical imaging findings include a location in the frontal lobe and calcification on computed tomography (CT). However, differentiating it from other gliomas, such as glioblastoma, can be difficult when characteristic imaging features, like calcification, are absent. We present a case of a woman in her 30s with a ring-enhancing lesion in the right frontal lobe, initially suggestive of glioblastoma. Proton magnetic resonance spectroscopy (1H-MRS) was performed using a single-voxel, point-resolved spectroscopy sequence (PRESS) with an echo time of 97 ms. Spectral data were analyzed with LCModel (Stephen Provencher, Inc., Oakville, Canada), which revealed a distinct cystathionine peak at 2.7 ppm. This finding raised the suspicion of oligodendroglioma, which was confirmed by histopathological and molecular analyses. Cystathionine accumulation is attributed to the co-deletion of chromosome arm 1p, leading to downregulation of phosphoglycerate dehydrogenase and cystathionine gamma-lyase, and a metabolic shift toward the transsulfuration pathway. Although glioblastomas may also upregulate this pathway to resist ferroptosis, a previous study showed higher cystathionine levels in oligodendrogliomas. This case suggests that cystathionine detection by 1H-MRS could serve as a useful radiological clue in gliomas with atypical imaging features, which are a ring enhancement without calcification, assisting in the differential diagnosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".