Disseminated craniospinal low-grade glioma in a patient with NF-1 without optic pathway pathology: illustrative case
Bibliographic record
Abstract
BACKGROUND Neurofibromatosis type 1 (NF-1) is a neurocutaneous autosomal dominant disorder that predisposes patients to develop intracranial low-grade gliomas (LGGs). Most LGGs in patients with NF-1 involve the optic pathway but can arise anywhere throughout the central nervous system. NF-1–related disseminated pediatric LGG (dPLGG) in the absence of a dominant optic pathway glioma has not been described. OBSERVATIONS The authors discussed a case of a 10-year-old boy who presented with consideration for biopsy with nonoptic pathway PLGG with craniospinal dPLGG in the setting of NF-1. The patient’s primary lesion, located in the right medulla, was initially treated with surveillance before induction chemotherapy with carboplatin and vincristine was initiated. However, surveillance imaging demonstrated significant increase in size and enhancement, and subsequent craniospinal imaging demonstrated extensive nodular dissemination in the cervicothoracic spine. A biopsy and molecular testing were subsequently performed to further evaluate the tumor, and the patient was diagnosed with dPLGG with CDKN2A deletion. LESSONS Thorough craniospinal magnetic resonance imaging evaluation and biopsy in nonoptic pathway–dominant brain lesions in NF-1 are warranted in patients with atypical clinical and radiological findings in whom standard chemotherapeutic therapy fails.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".