Is Blood Flow and Blood Volume informative for Photosensitizer uptake? In silico Simulation and in vivo MRI and SFDI Imaging study
Bibliographic record
Abstract
Significance Knowledge of the spatial photosensitizer accumulation is paramount for personalized PDT treatment planning. Approach The spatial resolution at which Photosensitizer accumulation can result in significant alterations of an optimum interstitial light source placement and reduction of possible morbidity. Results Simulation studies showed that the spatial resolution of Blood flow and Blood volume must be equal to or larger than the effective attenuation coefficient of PDT treatment wavelength. While normal brain showed a correlation between blood flow, volume, and chlorin e6 accumulation, in tumors, only blood flow showed a correlation with photosensitizer uptake. Conclusions Blood flow imaging can provide a non-invasive method to predict chlorin e6 accumulation prior to completing interstitial PDT treatment planning
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".