在图像引导和自适应质子治疗中,每日成像和靶边缘缩小对继发性癌症风险的影响。

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2024-11-11 DOI:10.1088/1361-6560/ad8da3
A Smolders, K Czerska, Z Celicanin, A Lomax, F Albertini
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引用次数: 0

摘要

目的:图像引导和自适应质子治疗依赖于每天的 CBCT 或 CT 成像,这会增加辐射剂量和辐射诱发癌症的风险。本研究开发了一个框架,用于研究应减少多少稳健性裕度,以抵消额外成像剂量带来的次生癌症风险,并将其应用于头颈癌的质子治疗。通过将计划 CT 剂量、每日和每周 CBCT 或 CT 剂量以及治疗剂量相加,计算出几种图像引导和自适应治疗方案的总剂量,并根据 0 至 4 毫米的设置余量进行了稳健优化。这些数据与设置裕度为 4 毫米且不进行每日成像的参考方案进行了比较。所有方案都进一步使用了 3% 范围的稳健性。通过三种模型计算器官癌症超额绝对风险(EAR),以确定在哪个设置裕度下,图像引导和自适应治疗方案的总EAR等于参考方案的总EAR。使用蒙特卡洛模型,我们发现对于大多数患者、治疗方案和癌症风险模型来说,减少 1 毫米的设置余量足以补偿每日和每周成像带来的额外风险。对于某些方案,根据成像频率和类型,甚至更小的减少幅度也足够了。通过降低边际值来降低风险的主要原因是降低了脑癌的风险,对某些患者来说还降低了口腔癌的风险:我们的框架可以从辐射诱发癌症风险的角度,将增加的成像剂量与减少边缘所减少的治疗剂量进行比较。该框架可扩展到不同的治疗部位、模式和成像方案,并可针对特定诊所甚至特定患者进行评估。
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The influence of daily imaging and target margin reduction on secondary cancer risk in image-guided and adaptive proton therapy.

Objective. Image-guided and adaptive proton therapy rely on daily CBCT or CT imaging, which increases radiation dose and radiation-induced cancer risk. Online adaptation however also reduces setup uncertainty, and the additional risk might be compensated by reducing the setup robustness margin. This work developed a framework to investigate how much this robustness margin should be reduced to offset the secondary cancer risk from additional imaging dose and applied it to proton therapy for head-and-neck cancer.Approach. For five patients with head-and-neck cancer, voxel-wise CT and CBCT imaging doses were estimated with Monte Carlo radiation transport simulations, calibrated with air and PMMA phantom measurements. The total dose of several image-guided and adaptive treatments protocols was calculated by summing the planning CT dose, daily and weekly CBCT or CT dose, and therapy dose, robustly optimized with setup margins between 0 and 4 mm. These were compared to a reference protocol with 4 mm setup margin without daily imaging. All plans further used 3% range robustness. Organ-wise excess absolute risk (EAR) of cancer was calculated with three models to determine at which setup margin the total EAR of image-guided and adaptive treatment protocols was equal to the total EAR of the reference.Results. The difference between the simulated and measured CT and CBCT doses was within 10%. Using the Monte Carlo models, we found that a 1 mm setup margin reduction was sufficient for most patients, treatment protocols, and cancer risk models to compensate the additional risk imposed by daily and weekly imaging. For some protocols, even a smaller reduction sufficed, depending on the imaging frequency and type. The risk reduction by reducing the margin was mainly due to reducing the risk for carcinomas in the brain and, for some patients, the oral cavity.Significance. Our framework allows to compare an increased imaging dose with the reduced treatment dose from margin reductions in terms of radiation-induced cancer risk. It is extendable to different treatment sites, modalities, and imaging protocols, in clinic-specific or even patient-specific assessments.

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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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