Magnetic Resonance - Based Evaluation of Small Molecule Release from a Thermosensitive Drug Delivery System
Bibliographic record
Abstract
There is an unmet need for clinically-implementable imaging toolsets to evaluate spatio-temporal drug release from thermosensitive nanocarriers in response to hyperthermia. This thesis presents a magnetic resonance (MR)-based platform for (1) evaluating hyperthermia-induced destabilization of thermosensitive drug carriers and (2) quantifying subsequent small molecule diffusion. The platform consists of a custom designed agar phantom, a temperature-controlled T1-weighted imaging workflow and a MATLAB analysis algorithm for semi-automated quantification of small molecule kinetics. Using this platform, thermosensitive liposomes (TSL) encapsulating gadoteridol were assessed at 22°C, 37°C, and 43°C and compared to free imaging agent and non-thermosensitive liposomes. In addition, the physiological relevance of the gel phantom was benchmarked against muscle and tumor tissue. Results demonstrated complete destabilization of TSL at 43°C in 1.5% agar, with a measured diffusion coefficient of (2.90 ± 0.52)×10-4 mm2/s which was not statistically different from free small molecule diffusion at 43°C, (2.72 ± 0.87)×10-4 mm2/s.
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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) | 0.001 | 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".