RA-10SUBTLE FINDINGS ON SPINAL MRIs IN CHILDREN NEWLY DIAGNOSED WITH MEDULLOBLASTOMA
Bibliographic record
Abstract
BACKGROUND: Medulloblastoma (MB) consist of at least 4 molecular distinct subgroups. While molecular characteristics will influence future treatment strategies, currently children diagnosed with MB and evidence of spinal metastatic disease on initial magnetic resonance imaging (MRI) are treated with an increased dose of craniospinal radiation (CSI). This study reviewed subtle abnormal findings on spinal MRI at the time of diagnosis to elucidate its prognostic significance. METHODS: Children (≥3 years) with MB, consecutively diagnosed and treated at SickKids between January 1988 to December 2012, were identified. Initial staging MRIs of the spine were re-reviewed by 2 independent investigators blinded to patient outcome. The presence of nerve root clumping, linear vascular enhancement, nerve root enhancement and/or other vague findings was labeled as subtle findings. RESULTS: One hundred of 157 patients were eligible for final analysis. Subtle findings were identified in 48 (48%) patients. Of those 48 patients, 45 patients had their diagnostic spinal MRI preoperatively. Analysis by subgroup identified a higher proportion of subtle findings in the SHH subgroup with even distribution of normal versus subtle findings in all others. OS in children with subtle findings compared to those without any abnormal findings was not different, 84% vs. 81% respectively, while OS in M3 patients was significantly worse at 53%, p = 0.04. CONCLUSIONS: A higher proportion of subtle findings was identified in the SHH subgroup. In this institutional retrospective review subtle findings are common, not associated with decreased OS and hence should not prompt an increased dose of CSI.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".