探索个性化放射治疗策略第四部分：一种交互图象方法量化吸收效应
Exploring Strategies for Personalized Radiation Therapy Part IV: An Interaction-Picture Approach to Quantify the Abscopal Effect
AI总结：
本文提出了一种基于交互图象变换的方法，用于量化个性化放射治疗中吸收效应的动态过程，通过个体层面的测量提升对系统性免疫激活的评估。
摘要：
我们重新审视在个性化超分数化立体定向自适应放射治疗（PULSAR）背景下具有争议性的“吸收”效应。通过允许分数之间有较长的间隔，PULSAR可能增强系统性免疫激活并增加产生吸收反应的可能性，相较于传统每日分数化。为了量化治疗引起的效应，我们引入了从量子力学中借鉴的交互图象变换，将肿瘤内在生长与辐射和免疫介导的扰动分开。在本初步研究中，我们测试了该方法用于两种预临床双侧肿瘤模型（4T1和MC38）。我们的模型提供了一个定量测量主肿瘤和次肿瘤之间相互作用强度的个体层面的度量，捕捉时间动态，而非仅依赖于队列平均。这种方法将吸收效应框架为连续、随机现象，而非二元响应。该框架对未来研究具有灵活性，特别是对于同时进行放射治疗和免疫治疗的PULSAR，其中不同的放射剂量和分数化计划可以进行比较，并且可以纳入免疫检查点抑制剂（ICIs）以进一步增强系统性抗肿瘤免疫。该框架还能帮助我们进行跨研究的吸收效应比较，并标准化吸收效应的报告，超越简单的统计显著性。
英文摘要：
We revisit the controversial "abscopal" effect in the context of Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR). By allowing long interval between fractions, PULSAR may enhance systemic immune activation and increase the likelihood of abscopal responses compared with conventional daily fractionation. To quantify treatment-induced effects, we introduce an interaction-picture transformation adapted from quantum mechanics, which separates intrinsic tumor growth from radiation and immune-mediated perturbations. In this preliminary study, we tested this method to two preclinical bilateral tumor models (4T1 and MC38). Our model provides a quantitative measure of the interaction strength between primary and secondary tumors at the individual level, capturing dynamics over time rather than relying solely on cohort averages. This approach frames the abscopal effect as a continuous, stochastic phenomenon rather than a binary response. The framework is flexible for future studies, particularly in concurrent radiation and immunotherapy with PULSAR, where different radiation doses and fractionation schedules can be compared, and immune checkpoint inhibitors (ICIs) can be incorporated to further enhance systemic anti-tumor immunity. The framework can also help us make cross-study comparison of abscopal effects and standardizes the reporting of abscopal magnitude beyond simple statistical significance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
