A novel uniform-spaced fast rescanning method for carbon-ion radiotherapy

IF 3.2 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Medical physics Pub Date : 2025-07-15 DOI:10.1002/mp.17994
Jun Zhang, Xiaoyan An, Ningning Chai, Qiang Li, Pengbo He
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Abstract

Background

Phase-controlled Rescanning (PCR) technique has been used in clinical practice. The feature of the phase-controlled rescanning (PCR) method is that the beam intensity is adjusted by the accelerator actively. In this work, we developed a simplified fast rescanning method, called uniform-spaced rescanning (USR), which does not require the active adjustment of the beam intensity by the accelerator.

Purpose

The motion compensation effectiveness of the USR was verified by comparing the four-dimensional dose distributions (4DDDs) between the USR and PCR methods. Furthermore, 4D treatment plans based on the range-adapted internal target volume (raITV) and four-dimensional robust optimization (4DRO) under the beam delivery of USR were also evaluated.

Methods

4DCT datasets and respiratory curves from 25 lung tumor patients were used. The beam delivery simulations included the following scenario combinations: six prescription doses (2, 5, 10, 15, 20, 25 Gy (RBE)) under a single fraction, five beam intensities (1, 2, 3, 4, 5 × 108 particles per second (pps)), and three motion management techniques (no gating, gating with 30% duty cycle (DC), and gating with rescanning (2, 4, 6× USR/PCR)). Similarly, the 4DDDs of the two-field raITV and 4DRO plans were calculated with the same beam delivery parameters. Dose metrics such as the target dose coverage of D95 and homogeneity index (HI) were analyzed.

Results

The D95 of the 4× USR was greater than 95% for all the beam intensity scenarios. The D95, HI and beam delivery time under the USR method were very similar to the PCR method with the increase of rescanning number. Under the 2, 4, 6× USR, the average CTV-D95 values of the raITV plans were higher than that of the 4DRO plans (94.9%/94.4%; 96.9%/96.4%; 97.7%/96.7%), and smaller HI values were observed for the raITV plans (11.7%/21.2%; 9.1%/17.7%; 7.9%/17.4%). For the organ at risks (OARs) sparing, the 4DRO plans could provide a better protection of the ipsilateral lung than the raITV plans.

Conclusion

The USR method could achieve the similar motion compensation effects to the PCR method, but the complexity of beam control is simplified. The raITV plans could provide a better target dose coverage but lower OARs sparing effects than the 4DRO plans.

碳离子放射治疗中一种新的均匀间隔快速重扫描方法
相控重扫描(PCR)技术已在临床应用。相控重扫描(PCR)方法的特点是光束强度由加速器主动调节。在这项工作中,我们开发了一种简化的快速重扫描方法,称为均匀间隔重扫描(USR),它不需要加速器主动调节光束强度。目的通过比较USR法和PCR法的四维剂量分布(4DDDs),验证USR法的运动补偿效果。此外,还评估了USR光束照射下基于范围适应内靶体积(raiv)和四维鲁棒优化(4DRO)的四维治疗方案。方法采用25例肺肿瘤患者的4DCT数据集和呼吸曲线。光束传递模拟包括以下场景组合:单个分数下的6种处方剂量(2、5、10、15、20、25 Gy (RBE)), 5种光束强度(1、2、3、4、5 × 108粒子/秒(pps)),以及3种运动管理技术(无门控、30%占空比门控和重扫描门控(2,4、6× USR/PCR))。同样,在相同的光束输出参数下,计算了双场raITV和4DRO方案的4DDDs。对D95靶剂量覆盖率、均匀性指数等剂量指标进行分析。结果4倍USR的D95均大于95%。随着重扫描次数的增加,USR法的D95、HI和光束传递时间与PCR法非常相似。在2、4、6倍USR条件下,降雨方案的CTV-D95平均值高于4DRO方案(94.9%/94.4%;96.9% / 96.4%;97.7%/96.7%), raITV计划的HI值较小(11.7%/21.2%;9.1% / 17.7%;7.9% / 17.4%)。对于有危险的器官(OARs)保留,4DRO计划可以提供比raITV计划更好的同侧肺保护。结论USR方法可以达到与PCR方法相似的运动补偿效果,但简化了光束控制的复杂性。raiv计划可以提供更好的目标剂量覆盖,但与4DRO计划相比,OARs节约效果较低。
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
Medical physics
Medical physics 医学-核医学
CiteScore
6.80
自引率
15.80%
发文量
660
审稿时长
1.7 months
期刊介绍: Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.
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