Suppr超能文献

每周和每日在线自适应对头颈部强度调制质子治疗的比较。

Comparison of weekly and daily online adaptation for head and neck intensity-modulated proton therapy.

机构信息

Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.

ETH Zürich, Zürich, Switzerland.

出版信息

Phys Med Biol. 2021 Feb 25;66(5). doi: 10.1088/1361-6560/abe050.

Abstract

The high conformality of intensity-modulated proton therapy (IMPT) dose distributions causes treatment plans to be sensitive to geometrical changes during the course of a fractionated treatment. This can be addressed using adaptive proton therapy (APT). One important question in APT is the frequency of adaptations performed during a fractionated treatment, which is related to the question whether plan adaptation has to be done online or offline. The purpose of this work is to investigate the impact of weekly and daily online IMPT plan adaptation on the treatment quality for head and neck patients. A cohort of ten head and neck patients with daily acquired cone-beam CT (CBCT) images was evaluated retrospectively. Dose tracking of the IMPT treatment was performed for three scenarios: base plan with no adaptation (BP), weekly online adaptation (OA), and daily online adaptation (OA). Both adaptation schemes used an in-house developed online APT workflow, performing Monte Carlo dose calculations on scatter-corrected CBCTs. IMPT plan adaptation was achieved by only tuning the weights of a subset of beamlets, based on deformable image registration from the planning CT to each CBCT. Although OAmitigated random delivery errors more effectively than OAon a fraction per fraction basis, both OAand OAachieved the clinical goals for all ten patients, while BP failed for six cases. In the high-risk CTV, accumulated values ofranged between 97.15% and 99.73% of the prescription dose for OA, with a median of 98.07%. For OA, values between 95.02% and 99.26% were obtained, with a median of 97.61% of the prescription dose. Otherwise, the dose to most organs at risk was similar for all three scenarios. Globally, our results suggest that OAcould be used as an alternative approach to OAfor most patients in order to reduce the clinical workload.

摘要

调强质子治疗(IMPT)剂量分布的高适形性导致治疗计划在分次治疗过程中对几何形状变化敏感。这可以通过自适应质子治疗(APT)来解决。APT 中的一个重要问题是在分次治疗过程中进行适应的频率,这与计划适应是否需要在线或离线进行有关。本工作旨在研究每周和每日在线 IMPT 计划适应对头颈部患者治疗质量的影响。回顾性评估了十名具有每日获得的锥形束 CT(CBCT)图像的头颈部患者队列。对三种情况进行了 IMPT 治疗的剂量跟踪:无适应的基础计划(BP)、每周在线适应(OA)和每日在线适应(OA)。两种适应方案均使用内部开发的在线 APT 工作流程,在散射校正 CBCT 上进行蒙特卡罗剂量计算。IMPT 计划适应仅通过基于从计划 CT 到每个 CBCT 的变形图像配准来调整子集的射束权重来实现。尽管 OA 在每分次的基础上比 OA 更有效地缓解了随机传递误差,但 OA 和 OA 都为所有十名患者实现了临床目标,而 BP 则在六例中失败。在高危 CTV 中,r 的累积值在 OA 为处方剂量的 97.15%至 99.73%之间,中位数为 98.07%。对于 OA,获得的值在 95.02%至 99.26%之间,中位数为处方剂量的 97.61%。否则,对于所有三个场景,大多数危及器官的剂量相似。总体而言,我们的结果表明,对于大多数患者,OA 可以作为 OA 的替代方法,以减少临床工作量。

相似文献

8
Anatomic changes in head and neck intensity-modulated proton therapy: Comparison between robust optimization and online adaptation.
Radiother Oncol. 2021 Jun;159:39-47. doi: 10.1016/j.radonc.2021.03.008. Epub 2021 Mar 17.
10
Generation and evaluation of anatomy-preserving virtual CT for online adaptive proton therapy.
Med Phys. 2024 Mar;51(3):1536-1546. doi: 10.1002/mp.16941. Epub 2024 Jan 17.

引用本文的文献

1
Interfractional body surface monitoring using daily cone-beam computed tomography imaging for pediatric adaptive proton therapy.
Phys Imaging Radiat Oncol. 2025 Mar 6;34:100746. doi: 10.1016/j.phro.2025.100746. eCollection 2025 Apr.
3
Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins.
Phys Med Biol. 2025 Jan 17;70(2):025010. doi: 10.1088/1361-6560/ada684.
4
Proton dose calculation on cone-beam computed tomography using unsupervised 3D deep learning networks.
Phys Imaging Radiat Oncol. 2024 Oct 26;32:100658. doi: 10.1016/j.phro.2024.100658. eCollection 2024 Oct.
7
RadDeploy: A framework for integrating in-house developed software and artificial intelligence models seamlessly into radiotherapy workflows.
Phys Imaging Radiat Oncol. 2024 Jul 2;31:100607. doi: 10.1016/j.phro.2024.100607. eCollection 2024 Jul.

本文引用的文献

3
Online daily adaptive proton therapy.
Br J Radiol. 2020 Mar;93(1107):20190594. doi: 10.1259/bjr.20190594. Epub 2019 Nov 11.
5
Daily adaptive proton therapy - the key to innovative planning approaches for paranasal cancer treatments.
Acta Oncol. 2019 Oct;58(10):1423-1428. doi: 10.1080/0284186X.2019.1641217. Epub 2019 Jul 31.
6
Intensity modulated proton therapy (IMPT) - The future of IMRT for head and neck cancer.
Oral Oncol. 2019 Jan;88:66-74. doi: 10.1016/j.oraloncology.2018.11.015. Epub 2018 Nov 21.
8
Current state and future applications of radiological image guidance for particle therapy.
Med Phys. 2018 Nov;45(11):e1086-e1095. doi: 10.1002/mp.12744.
9
Robust radiotherapy planning.
Phys Med Biol. 2018 Nov 12;63(22):22TR02. doi: 10.1088/1361-6560/aae659.
10
Feasibility of online IMPT adaptation using fast, automatic and robust dose restoration.
Phys Med Biol. 2018 Apr 20;63(8):085018. doi: 10.1088/1361-6560/aaba8c.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验