Radiosurgery for recurrent glioblastoma multiforme: A single institution experience
Bibliographic record
Abstract
Suppl 2 -S17 79 %.Median time to LR was 17 months (range= 1.5-24).First MRI analysis showed increased T1 and T2 GTV in 47 % of lesions.Of these, 47% ultimately developed LR.All patients with LR but one presented increased GTV at 3-6 months (median 28%, range= 1; 290%) associated with reduced T/S signal ratio (median -0.16, range= -0.04; -0.7).In patients with no LR at last follow up, 21% presented increased GTV (median 4%, range= 1; 57%) always associated with increased T/S ratio (median 0.7, range: 0.5; 1.34).Decreased GTV was observed in 79% of lesions with no LR (median -13%, range= -2; -55%).Conclusion: Early volume changes seem to correlate with subsequent local failure.Patients with what may be small increases in tumor volume on the first post-SBRT MRI should be followed more closely for LR.Early T2 signal changes do not appear to correlate with LC.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".