Radiolabeling of Biodegradable Polymeric Microspheres with [<sup>99m</sup>Tc(CO)<sub>3</sub>]<sup>+</sup> and <i>in Vivo</i> Biodistribution Evaluation using MicroSPECT/CT Imaging
Bibliographic record
Abstract
Poly(L-lactide) (PLA) microspheres tailored with a tridentate chelating group were radiolabeled with [(99m)Tc(H(2)O)(3)(CO)(3)](+) and optimized for labeling efficiency and stability. Various ligand-polymer blend compositions with commercial PLA (from 2% to 100%) were evaluated. Labeling efficiencies over 95% were achieved in a 5 min reaction using 100% of the ligand-polymer or within 15 min using a 5% ligand-polymer blend. The addition of 1.5% of PEGylated copolymer to the blend did not affect the labeling efficiency of these particles but changed their in vivo behavior. MicroSPECT/CT imaging showed significant uptake of non-PEGylated microspheres by the murine lung, while only the liver and spleen took up PEGylated microspheres. Such (99m)Tc radiolabeled biodegradable microspheres will be useful diagnostic imaging agents for visualization of the functioning reticuloendothelial system (RES). Similarly, other sizes of the same microspheres will allow imaging of lung perfusion, bone marrow, lymph and inflammation scintigraphy, and radioembolization therapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".