Recurrent Extraneural Metastatic Medulloblastoma in an Adult Presenting With a Superscan and Treated With Radium-223
Bibliographic record
Abstract
A 32-year-old man with medulloblastoma was initially treated with subtotal resection and craniospinal irradiation. He developed recurrent metastatic disease three years later with extensive bone-only metastases. Biopsy of the bone lesions confirmed metastatic medulloblastoma and restaging investigations demonstrated a superscan with no evidence of recurrence in the craniospinal axis. Extraneural metastatic medulloblastoma is rare, and the presentation with diffuse bone-only metastases with a superscan on imaging is unique. The patient had diffusely painful bone metastases requiring multiple hospitalizations for poor pain control. He declined chemotherapy and was treated with radium-223, an alpha particle emitting radionuclide therapy typically used in metastatic castrate-resistant prostate cancer. The patient received three out of a planned six cycles of radium-223 before it was discontinued due to myelosuppression requiring multiple blood transfusions, and restaging demonstrated local recurrence in the posterior fossa. This is the first report to our knowledge describing the use of radium-223 in a patient with extraneural bone-only metastatic medulloblastoma. Further research into the effect of radium-223 in patients with diffuse bone-only metastases from non-prostate cancer primary tumors is warranted.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".