Framework to calculate <sup>225</sup> Ac, <sup>177</sup> Lu, and <sup>161</sup> Tb radiation dose and biological effect in metastatic castration‐resistant prostate cancer treatment
Notice bibliographique
Résumé
Abstract Background In the treatment of metastatic castration‐resistant prostate cancer (mCRPC), the standard radionuclide 177 Lu (β⁻ emitter) is being challenged by alternatives, particularly the α‐emitter 225 Ac and Auger electron emitter 161 Tb, due to their superior radiobiological properties. These include higher linear energy transfer (LET) and shorter ranges, which enhance localized cell killing while minimizing off‐target effects. While these radionuclides induce DNA damage both in source‐cells and neighboring cells (crossfire effect), their distinct radiation profiles provide critical metrics to compare their therapeutic efficacy. By quantifying these differences, especially in micrometastatic settings, the optimal radionuclide for specific clinical scenarios could be selected. Purpose This Study aims to develop a comprehensive pipeline based on Monte Carlo (MC) simulations to compare the therapeutic efficacy of 225 Ac, 177 Lu, and 161 Tb in the treatment of mCRPC based on clinically administered activity (7.4 GBq for 177 Lu, 161 Tb, and 7 MBq for 225 Ac) in a multi‐cell model. Besides evaluating the absorbed dose at the cellular level, the Biological Effect Cell Kernel (BECK) method is proposed to compare the radiobiological effect of radionuclides, accounting for the crossfire effect using 3D convolution. Methods A 2 µm resolution cell model was constructed with a 20 µm cell, an 8 µm nucleus diameter, and a 26 µm center‐to‐center distance. This configuration resulted in a cellular fraction of 0.24 mL/g, in agreement with that estimated from six prostate cancer patients using CT Perfusion. The prostate time‐integrated activity (TIA) in the model was estimated from a patient based on a dynamic 300 MBq 18 F‐DCFPyL PET scan after scaling to account for the higher administered activity in therapy. The TOPAS‐nBio MC tool was used to calculate the absorbed dose and the DNA breaks in the cell model. To account for the crossfire effect, we created the BECK, an isotropic 3D kernel, demonstrating the DNA breaks in the source‐containing cell, and those induced in its neighboring cells. The BECK was convolved with the 3D TIA maps of the cell model to obtain the DNA break maps. Results The cellular absorbed dose was higher than the macro‐scale dose based on SPECT‐derived TIA, by 31.3%, 15.7%, and 39.8% for 225 Ac, 177 Lu, and 161 Tb, respectively. At the single‐cell level, 225 Ac induced markedly higher DNA breaks per source – 48 double‐strand breaks (DSBs), and 32 complex DSBs, compared to 177 Lu – 0.022 and 0.017, and 161 Tb – 0.083 and 0.073, respectively. Crossfire effects were dominant for 255 Ac and 177 Lu at ∼75% and less pronounced for 161 Tb at ∼41%. The maximum ranges at which 99.99% of the total DNA breaks were observed were approximately 85 µm for 225 Ac, 150 µm for 177 Lu, and 110 µm for 161 Tb. Conclusions DPKs and BECKs of 2 2 ⁵Ac, ¹⁷⁷Lu, and ¹⁶¹Tb were developed to quantify cellular‐level dose distributions and biological efficacy, revealing micrometer‐scale heterogeneity accentuated by short‐range emissions (α, CEs, AEs). Results demonstrate ¹⁶¹Tb's optimal performance for micrometastases—surpassing ¹⁷⁷Lu's efficacy with lower toxicity than 2 2 ⁵Ac—while relative biological effectiveness predicts activity requirements: 2 2 ⁵Ac << ¹⁶¹Tb < ¹⁷⁷Lu.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».