MRI based physiological parameters are biomarkers of tumor and non tumor tissue response following radiation to brain metastases
Bibliographic record
Abstract
We sought to determine the utility of early relative blood volume (rCBV), relative blood flow (rCBF) and permeability (K2 trans) measurements as biomarkers of radiation response or progression for brain metastases and to characterize early normal tissue changes following stereotactic radiosurgery. Patients were imaged with dynamic susceptibility and dynamic contrast enhanced magnetic resonance imaging at baseline, 1 week and 1 month post-treatment. Tumors outcomes were stratified using volumetric data obtained from structural images. K2trans at 1 week and rCBV at 1 month were identified as predictors of tumor response and progressive disease respectively. Pre-treatment localized dose planning CT images with overlaid isodose distributions outside the tumor were evaluated within all tissue, and segmented gray and white matter. rCBV and rCBF ratio differences between baseline, 1 week and 1 month were compared. Subsequent analysis identified increases in rCBF and rCBV ratios occurring in a dose, tissue, and time specific manner.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".