Optimization of target grouping in distributive stereotactic radiosurgery using the excel evolutionary solver

IF 2.2 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Applied Clinical Medical Physics Pub Date : 2024-12-20 DOI:10.1002/acm2.14608

Chester Ramsey, Samuel Gallemore, Joseph Bowling

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Abstract

Purpose

Distributive stereotactic radiosurgery (dSRS) is a form of fractionation where groups of metastases are treated with a full single-fraction dose on different days. The challenge with dSRS is determining optimal target groupings to maximize the distance between targets treated in the same fraction. This study aimed to develop and validate an accessible optimization technique for distributing brain metastases into optimal treatment fractions using a genetic algorithm.

Methods

The Evolutionary Solver in Excel was used to optimize the grouping of target volumes for distributive SRS fractionation. The algorithm's performance was tested using three geometric test cases with known optimal solutions, 400 simulations with randomly distributed target volumes, and clinical data from five GammaKnife patients. The objective function was defined as the sum of average distances between target volumes within each fraction, with constraints ensuring 2–5 targets per fraction, each target being assigned to only one fraction, and a constraint on the minimum distance between any two targets in the same fraction.

Results

The Evolutionary Solver successfully identified optimal target groupings in all geometric test cases. Compared to random groupings, the mean distance between target volumes increased by 9%, from 68.1 ± 0.8 to 74.2 ± 1.1 mm post-optimization, while the minimum distance between targets increased by 57%, from 24.9 ± 5.9 to 39.1 ± 7.5 mm. In clinical test cases, the mean distances improved from 81.6 ± 11.9 mm for manual target grouping to 85.6 ± 14.5 mm for optimized target grouping. The minimum separation improved from 35.2 ± 14.5 mm with manual grouping to 51.6 ± 14.7 mm with optimized grouping, corresponding to a mean improvement of 16.4 ± 6.1 mm.

Conclusion

The Evolutionary Solver in Excel provides a systematic and reproducible method for optimizing distributive target groupings in SRS and enhances spatial separation.

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基于excel进化求解器的分布式立体定向放射手术靶群优化。

目的：分布式立体定向放射手术（dSRS）是一种分步治疗的形式，在不同的日子用完全的单分步剂量治疗转移灶组。dSRS的挑战是确定最佳目标分组，以最大限度地提高在相同分数中处理的目标之间的距离。本研究旨在开发和验证一种可访问的优化技术，用于使用遗传算法将脑转移分配到最佳治疗部分。方法：利用Excel中的进化求解器优化SRS分馏靶体积的分组。该算法的性能通过三个已知最优解的几何测试案例、400个随机分布目标体积的模拟以及来自5名GammaKnife患者的临床数据进行了测试。目标函数定义为每个分数内目标体积之间的平均距离之和，约束条件为每个分数2-5个目标，每个目标只分配给一个分数，约束条件为同一分数内任意两个目标之间的最小距离。结果：进化求解器在所有几何测试用例中成功地识别出最优目标分组。与随机分组相比，优化后目标体之间的平均距离增加了9%，从68.1±0.8 mm增加到74.2±1.1 mm，最小目标体之间的距离增加了57%，从24.9±5.9 mm增加到39.1±7.5 mm。在临床试验病例中，平均距离由手工靶区划分的81.6±11.9 mm提高到优化靶区划分的85.6±14.5 mm。优化后的最小间距由人工分组的35.2±14.5 mm提高到优化分组的51.6±14.7 mm，平均提高16.4±6.1 mm。结论：Excel中的进化求解器为优化SRS中的分布靶群提供了一种系统的、可重复的方法，增强了空间间距。

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

Journal of Applied Clinical Medical Physics 医学-核医学

CiteScore

3.60

自引率

19.00%

发文量

331

审稿时长

3 months

期刊介绍： Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission. JACMP will publish: -Original Contributions: Peer-reviewed, investigations that represent new and significant contributions to the field. Recommended word count: up to 7500. -Review Articles: Reviews of major areas or sub-areas in the field of clinical medical physics. These articles may be of any length and are peer reviewed. -Technical Notes: These should be no longer than 3000 words, including key references. -Letters to the Editor: Comments on papers published in JACMP or on any other matters of interest to clinical medical physics. These should not be more than 1250 (including the literature) and their publication is only based on the decision of the editor, who occasionally asks experts on the merit of the contents. -Book Reviews: The editorial office solicits Book Reviews. -Announcements of Forthcoming Meetings: The Editor may provide notice of forthcoming meetings, course offerings, and other events relevant to clinical medical physics. -Parallel Opposed Editorial: We welcome topics relevant to clinical practice and medical physics profession. The contents can be controversial debate or opposed aspects of an issue. One author argues for the position and the other against. Each side of the debate contains an opening statement up to 800 words, followed by a rebuttal up to 500 words. Readers interested in participating in this series should contact the moderator with a proposed title and a short description of the topic