Modeling the Effect of Daughter Migration on Dosimetry Estimates for [225Ac]Ac-DOTATATE

Stephen Tronchin MPhil , Jake Forster PhD , Kevin Hickson MAppSci , Eva Bezak PhD
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Abstract

Purpose

[225Ac]Ac-DOTATATE is a promising treatment option for patients with neuroendocrine tumors. A concern with 225Ac is that the decay energy can break the bond to the targeting vehicle, producing free daughter radionuclides in the body. Daughter migration is generally not considered in clinical dosimetry, and therefore its effect needs to be studied.

Methods and Materials

A compartment model for 225Ac and its daughters was developed, where each daughter isotope was assigned unique transfer coefficients. The model was applied to [225Ac]Ac-DOTATATE. Computer simulations were performed in Python for 2 scenarios: (1) the daughters decay at the site of [225Ac]Ac-DOTATATE decay; and (2) the daughters have unique biokinetics, where each decay of [225Ac]Ac-DOTATATE releases 221Fr off the DOTATATE peptide. Two extreme cases concerning intracellular degradation of [225Ac]Ac-DOTATATE were also examined: 1 in which it remains intact inside the tumor cells, and 1 with complete degradation followed by free 225Ac released back to plasma. Normal organ and tumor absorbed doses were determined in each case. In addition, the model-calculated cumulated activities of 221Fr and 213Bi were compared with recent measurements from a clinical trial.

Results

When modeling the unique daughter kinetics, the average absorbed dose to the kidneys and tumor was 517 (95% CI, 413-622) and 577 (95% CI, 134-1020) mGy/MBq, respectively, with daughter migration resulting in an average increase in the kidney dose of 10.2% (95% CI, 7.9%-12.5%), and an average decrease in the tumor dose of 22.9% (95% CI, 16.3%-29.4%). The model scenario including free 225Ac showed improved agreement with clinical trial data, specifically for the liver, suggesting a fraction of free 225Ac is produced in patients following the administration of [225Ac]Ac-DOTATATE.

Conclusions

When performing dosimetry for [225Ac]Ac-DOTATATE, our study found that if daughter migration is ignored, the kidney dose is underestimated by ∼10%, and the tumor dose is overestimated by ∼23%. For accurate dosimetry, daughter biokinetics should be considered.
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模拟子迁移对[225Ac]Ac-DOTATATE剂量测定估计值的影响。
目的:[225Ac]Ac-DOTATATE是一种很有前景的神经内分泌肿瘤治疗方案。225Ac的一个问题是,衰变能量会破坏与目标载体的结合,在体内产生游离的子放射性核素。在临床剂量学中一般不考虑子体迁移,因此需要对其影响进行研究。方法:建立225Ac及其子同位素的隔室模型,其中每个子同位素被分配独特的传递系数。该模型应用于[225Ac]Ac-DOTATATE。在Python中对两种情况进行了计算机模拟:a)子细胞在[225Ac]Ac-DOTATATE衰变的位置衰变,b)子细胞具有独特的生物动力学,其中[225Ac]Ac-DOTATATE的每次衰变释放221Fr从DOTATATE肽中释放出来。还研究了两种关于[225Ac]Ac-DOTATATE细胞内降解的极端情况:一种情况下,它在肿瘤细胞内保持完整,另一种情况下,它完全降解,随后游离的225Ac被释放回血浆。测定每个病例的正常器官和肿瘤吸收剂量。此外,模型计算的221Fr和213Bi的累积活性与最近临床试验的测量结果进行了比较。结果:当模拟独特的子代动力学时,肾脏和肿瘤的平均吸收剂量分别为517 (95% CI: 413-622)和577 (95% CI: 134-1020) mGy/MBq,子代迁移导致肾脏剂量平均增加10.2% (95% CI: 7.9%-12.5%),肿瘤剂量平均减少22.9% (95% CI: 16.3%-29.4%)。包含游离225Ac的模型情景与临床试验数据更加一致,特别是对于肝脏,这表明在给予[225Ac]Ac-DOTATATE后,患者体内产生了一部分游离225Ac。结论:在对[225Ac]Ac-DOTATATE进行剂量测定时,我们的研究发现,如果忽略子代迁移,肾脏剂量被低估约10%,肿瘤剂量被高估约23%。为了精确的剂量测定,应考虑子生物动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.00
自引率
7.10%
发文量
2538
审稿时长
6.6 weeks
期刊介绍: International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, publishes original laboratory and clinical investigations related to radiation oncology, radiation biology, medical physics, and both education and health policy as it relates to the field. This journal has a particular interest in original contributions of the following types: prospective clinical trials, outcomes research, and large database interrogation. In addition, it seeks reports of high-impact innovations in single or combined modality treatment, tumor sensitization, normal tissue protection (including both precision avoidance and pharmacologic means), brachytherapy, particle irradiation, and cancer imaging. Technical advances related to dosimetry and conformal radiation treatment planning are of interest, as are basic science studies investigating tumor physiology and the molecular biology underlying cancer and normal tissue radiation response.
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