FLASH放射治疗诱导的体外显像效应的现象学观察。

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-09-17 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1657392
Paolo Castorina, Gianluca Ferini, Francesco Romano
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引用次数: 0

摘要

背景:体外效应表明放射治疗的影响超出了肿瘤局部的直接消退,这是由于免疫应答的激活。其效果可能因使用高辐射剂量或低辐射剂量而异。在快闪疗法中,高剂量率治疗诱导全身效应,可能引发体外反应。方法:我们讨论了一个现象学的计算模型,基于体内可用的FLASH放疗数据,定量分析可能与免疫系统产生全身效应的协同效应。结果:该方法能够定量评估FLASH放疗与激活免疫反应之间的相互作用,基于观察到的转移性缩小,由于FLASH治疗原发肿瘤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phenomenological insights into the FLASH radiotherapy-induced abscopal effect.

Background: The abscopal effect suggests that the impact of radiotherapy extends beyond the direct tumor local regression, due to activation of the immune response. Its effectiveness may vary depending on whether high- or low-radiation doses are used. In FLASH therapy, the high-dose rate treatment induces systemic effects that may trigger an abscopal response.

Methods: We discuss a phenomenological, computational model, based on available in vivo FLASH radiotherapy data, to quantitatively analyze the possible synergistic effects with the immune system to produce a systemic effect.

Results: The method enables a quantitative assessment of the interaction between FLASH radiotherapy and the activated immune response, based on observations of metastatic shrinkage due to the FLASH treatment of the primary tumor.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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