Cranial magnetic resonance imaging findings of leptomeningeal contrast enhancement after pediatric posterior fossa tumor resection and its significance
Bibliographic record
Abstract
In this report, the authors illustrate the potential shortfalls of early postoperative MR imaging following resection of a posterior fossa tumor. The authors present the cases of a 10-month-old boy and a 14-year-old boy with posterior fossa tumors that were surgically resected and monitored immediately postoperatively with MR imaging. The MR imaging study obtained immediately postresection while the children were still anesthetized revealed enhancing elements in both patients, which were suggestive of leptomeningeal metastases. When this signal was followed on subsequent MR images, it was no longer visible. The patients are both recurrence free at the time of this publication. These cases demonstrate that early postoperative MR imaging findings for leptomeningeal metastases may be unreliable after excision of posterior fossa tumors and may have potential implications for intraoperative MR imaging techniques currently under development.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".