Synthesis and evaluation of an <sup>18</sup>F‐labeled trifluoroborate derivative of 2‐nitroimidazole for imaging tumor hypoxia with positron emission tomography
Bibliographic record
Abstract
Abstract 2‐Nitroimidazole‐based hypoxia imaging tracers such as 18 F‐FMISO are normally imaged at late time points (several hours post‐injection) due to their slow clearance from background tissues. Here, we investigated if a hydrophilic zwitterion‐based ammoniomethyl‐trifluoroborate derivative of 2‐nitroimidazole, 18 F‐AmBF 3 ‐Bu‐2NI, could have the potential to image tumor hypoxia at earlier time points. AmBF 3 ‐Bu‐2NI was prepared in 4 steps. 18 F labeling was conducted via 18 F‐ 19 F isotope exchange reaction, and 18 F‐AmBF 3 ‐Bu‐2NI was obtained in 14.8 ± 0.4% ( n = 3) decay‐corrected radiochemical yield with 24.5 ± 5.2 GBq/μmol specific activity and >99% radiochemical purity. Imaging and biodistribution studies in HT‐29 tumor‐bearing mice showed that 18 F‐AmBF 3 ‐Bu‐2NI cleared quickly from blood and was excreted via the hepatobiliary and renal pathways. However, the tumor was not visualized in PET images until 3 hours post‐injection due to low tumor uptake (0.54 ± 0.13 and 0.19 ± 0.04%ID/g at 1 and 3 hours post‐injection, respectively). The low tumor uptake is likely due to the highly hydrophilic motif of ammoniomethyl‐trifluoroborate that prevents free diffusion of 18 F‐AmBF 3 ‐Bu‐2NI across the cell membrane. Our results suggest that highly hydrophilic 18 F‐labeled ammoniomethyl‐trifluoroborate derivatives might not be suitable for imaging intracellular targets including nitroreductase, a common tumor hypoxia imaging target.
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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 | 0.001 | 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".