Intraparenchymal chordoid Meningioma After Radiotherapy for Hodgkin Lymphoma: A Case Report and Review of the Literature
Bibliographic record
Abstract
Objective: Hodgkin lymphoma can be treated by radiotherapy or chemotherapy alone or combined. Meningiomas account for 1-4.2% of all primary intracranial tumors in children, and chordoid meningioma is a very rare subtype. In this study, we investigated a case of an intraparenchymal chordoid meningioma that developed during the early stage in a patient with Hodgkin lymphoma who had been treated with radiotherapy. Case: A 10-year-old male patient was diagnosed with Hodgkin lymphoma and was treated with a combination of radiotherapy and chemotherapy. He presented at our emergency service 6 years later. He had a fever and was suffering from discomfort and insignificant left hemiparesis (4/5). Contrast-enhanced cranial magnetic resonance imaging (MRI) showed a mass in the right temporoparietal region. The intracranial lesion was surgically excised. The tumor was identified as a WHO grade 2 chordoid meningioma by the pathological examination. The Ki-67 proliferation index was found to be 20-25%. Conclusion: Surgeons must remember that radiation-associated meningiomas may occur in the early stage of the treatment as well as in the late stage. Young patients with grade 2 chordoid meningiomas must be followed-up in case of recurrence, and tumors with high Ki-67 indexes are highly expected to relapse.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".