Kinetic Modeling of FDG uptake in rat tumors During photodynamic therapy
Bibliographic record
Abstract
The aim of this work was to assess by kinetic modeling the effects of the photodynamic therapy (PDT) of cancer in two mammary adenocarcinoma tumors implanted in the axillary areas of rats. One tumor served as control while the other was treated with red light 24 hours after administration of two types of photosensitizers: AlPcS4 (n = 4) and ZnPcS2 (n = 4). PET scans were carried on, with a continuous infusion of fluorodeoxyglucose (FDG), during 2 hours including the 30 min duration of the illumination. The usual FDG kinetic model was modified to include the effects of the treatment. Since the blood supply to the tumors was affected by the illumination during the PET scans, the input curve was derived from factor analysis. A study of the model compartments and rate constants is presented for both AlPcS4 and ZnPcS2.
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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 | 0.000 |
| 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) | 0.000 | 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 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".