Multi-IMPT: a biologically equivalent approach to proton ARC therapy.

ArXiv Pub Date : 2024-11-26
Nimita Shinde, Yanan Zhu, Wei Wang, Wangyao Li, Yuting Lin, Gregory N Gan, Christopher Lominska, Ronny Rotondo, Ronald C Chen, Hao Gao
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Abstract

Objective: Proton spot-scanning arc therapy (ARC) is an emerging modality that can improve the high-dose conformity to targets compared with standard intensity-modulated proton therapy (IMPT). However, the efficient treatment delivery of ARC is challenging due to the required frequent energy changes during the continuous gantry rotation. This work proposes a novel method that delivers a multiple IMPT (multi-IMPT) plan that is equivalent to ARC in terms of biologically effective dose (BED).

Approach: The proposed multi-IMPT method utilizes a different subset of limited number of beam angles in each fraction for dose delivery. Due to the different dose delivered to organs at risk (OAR) in each fraction, we optimize biologically effective dose (BED) for OAR and the physical dose delivered for target in each fraction. The BED-based multi-IMPT inverse optimization problem is solved via the iterative convex relaxation method and the alternating direction method of multipliers. The effectiveness of the proposed multi-IMPT method is evaluated in terms of dose objectives in comparison with ARC.

Main results: Multi-IMPT provided similar plan quality with ARC. For example, multi-IMPT provided better OAR sparing and slightly better target dose coverage for the prostate case; similar dose distribution for the lung case; slightly worse dose coverage for the brain case; better dose coverage but slightly higher BED in OAR for the head-and-neck case.

Significance: We have proposed a multi-IMPT approach to deliver ARC-equivalent plan quality.

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多重impt:一种生物等效的质子ARC治疗方法。
目的:与标准调强质子治疗(IMPT)相比,质子点扫描电弧治疗(arc)是一种提高高剂量靶一致性的新兴治疗方式。然而,由于在连续的龙门旋转过程中需要频繁的能量变化,ARC的有效治疗递送是具有挑战性的。这项工作提出了一种新的方法,提供了一个多重IMPT(多IMPT)计划,在生物有效剂量(BED)方面相当于ARC。方法:提出的多重impt方法利用每个分数中有限数量的光束角度的不同子集进行剂量递送。由于每个部分中传递到危险器官(OAR)的剂量不同,我们优化了OAR的生物有效剂量(BED)和每个部分中传递给目标的物理剂量。采用迭代凸松弛法和乘法器交替方向法求解基于bed的多impt逆优化问题。与ARC相比,根据剂量物镜评估了所提出的多重impt方法的有效性。主要结果:Multi-IMPT与ARC方案质量相近。例如,对于前列腺病例,多次impt提供了更好的OAR保留和略好的靶剂量覆盖;肺部病例的剂量分布相似;脑部病例的剂量覆盖率略差;头颈部病例的剂量覆盖率较好,但在OAR中BED略高。意义:我们提出了一种多impt方法来交付arc等效计划质量。
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