First measurements of radon‐220 diffusion in mice tumors, towards treatment planning in diffusing alpha‐emitters radiation therapy
Bibliographic record
Abstract
Abstract Background Diffusing alpha‐emitters radiation therapy (“Alpha‐DaRT”) is a new method for treating solid tumors with alpha particles, relying on the release of the short‐lived alpha‐emitting daughter atoms of radium‐224 from interstitial sources inserted into the tumor. Alpha‐DaRT tumor dosimetry is governed by the spread of radium's progeny around the source, as described by an approximate framework called the “diffusion‐leakage model”. The most important model parameters are the diffusion lengths of radon‐220 and lead‐212, and their estimation is therefore essential for treatment planning. Purpose Previous works have provided initial estimates for the dominant diffusion length, by measuring the activity spread inside mice‐borne tumors several days after the insertion of an Alpha‐DaRT source. The measurements, taken when lead‐212 was in secular equilibrium with radium‐224, were interpreted as representing the lead‐212 diffusion length. The aim of this work is to provide first experimental estimates for the diffusion length of radon‐220, using a new methodology. Methods The diffusion length of radon‐220 was estimated from autoradiography measurements of histological sections taken from 24 mice‐borne subcutaneous tumors of five different types. Unlike previous studies, the source dwell time inside the tumor was limited to 30 min, to prevent the buildup of lead‐212. To investigate the contribution of potential non‐diffusive processes, experiments were done in two sets: fourteen in vivo tumors, where during the treatment the tumors were still carried by the mice with active blood supply, and 10 ex‐vivo tumors, where the tumors were excised before source insertion and kept in a medium at with the source inside. Results The measured diffusion lengths of radon‐220, extracted by fitting the recorded activity pattern up to 1.5 mm from the source, lie in the range , with no significant difference between the average values measured in in‐vivo and ex‐vivo tumors: versus . However, in‐vivo tumors display an enhanced spread of activity 2–3 mm away from the source. This effect is not explained by the current model and is much less pronounced in ex‐vivo tumors. Conclusions The average measured radon‐220 diffusion lengths in both in‐vivo and ex‐vivo tumors are consistent with published data on the diffusion length of radon in water and lie close to the upper limit of the previously estimated range of . The observation that close to the source there is no apparent difference between in‐vivo and ex‐vivo tumors, and the good agreement with the theoretical model in this region suggest that the spread of radon‐220 is predominantly diffusive in this region. The departure from the model prediction in in‐vivo tumors at large radial distances may hint at potential vascular contribution, which will be the subject of future works.
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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 | 0.001 |
| 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".