Exploring Strategies for Personalized Radiation Therapy Part IV: An Interaction-Picture Approach to Quantify the Abscopal Effect
Hao Peng, Laurentiu Pop, Kai Jiang, Faya Zhang, Debabrata Saha, Raquibul Hannan, Robert Timmerman

TL;DR
This paper introduces an interaction-picture method from quantum mechanics to quantify and analyze the abscopal effect in personalized radiotherapy, enabling detailed, dynamic, and standardized assessment of systemic immune responses in preclinical tumor models.
Contribution
It presents a novel interaction-picture transformation to separate tumor growth from treatment effects, allowing for dynamic and individualized measurement of the abscopal effect in radiotherapy research.
Findings
The method quantifies interaction strength between tumors over time.
It captures the abscopal effect as a continuous stochastic process.
Framework facilitates comparison across studies and treatment schedules.
Abstract
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…
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Taxonomy
TopicsRadiation Therapy and Dosimetry · Cancer Immunotherapy and Biomarkers · Radiomics and Machine Learning in Medical Imaging
