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Fast Individualized Delivery Adaptation in Proton Therapy

质子治疗中的快速个体化治疗适应

基本信息

批准号：
10595078
负责人：
HARALD PAGANETTI
金额：
$ 30.04万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2024-06-30
项目状态：
已结题

项目摘要

While adaptive therapy has been studied before, none of the previous studies deals with the unique challenges (range uncertainties) and unique capabilities (beamlet optimization and prompt gamma imaging) of proton therapy. This proposal will for the first time address these aspects by developing innovative hardware and software methodologies. We envision treatment planning and delivery to be fully adaptive in terms of intra- fractional changes in patient geometry. This proposal aims at predicting the dose distribution (or a surrogate thereof) in the patient immediately prior to treatment delivery and correct for any discrepancies between the measured and intended dose in less than 2 minutes. This will enable us to deliver (proton) radiation therapy in an adaptive setting and much reduced target volume margins (2mm isotropic plus 2mm range margin in proton therapy in the beam direction) daily while the patient is positioned on the treatment table. We propose to achieve this goal by simultaneously developing fast hardware and software tools that take advantage of in-room prompt gamma and cone-beam CT imaging in combination with fast dose calculation. We will combine this technology with a novel framework on beamlet adaptation. While some of our methods will improve photon therapy as well, we will focus on proton therapy because it offers unique opportunities to dose verification in vivo as well as unique challenges due to range uncertainties. Our methodology will be made available to the entire proton therapy community.

虽然适应性治疗以前已经研究过，但以前的研究都没有涉及独特的挑战（范围不确定性）和独特的能力（子束优化和即时伽马成像）疗法该提案将首次通过开发创新硬件解决这些问题，软件方法学。我们设想治疗计划和实施在内部方面完全自适应，患者几何形状的部分变化。该提议旨在预测在施用前即刻患者中的剂量分布（或其替代物）。治疗输送，并在小于2小时内纠正测量剂量和预期剂量之间的任何差异分钟这将使我们能够提供（质子）放射治疗在一个自适应的设置和大大减少的目标每天的体积裕度（2 mm各向同性加2 mm质子治疗射束方向范围裕度），患者被定位在治疗台上。我们建议通过同时开发快速的硬件和软件工具来实现这一目标，室内即时伽马和锥形束CT成像结合快速剂量计算的优势。我们将联合收割机结合这种技术与一种新的小波束适应框架。虽然我们的一些方法也将改善光子治疗，但我们将专注于质子治疗，因为它为体内剂量验证提供了独特的机会，也因范围不确定性而带来了独特的挑战。我们的方法将提供给整个质子治疗社区。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

CT-on-Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy of Head-and-Neck Cancers.

DOI：
10.3390/cancers13235991
发表时间：
2021-11-28
期刊：
Cancers
影响因子：
5.2
作者：
Nesteruk KP;Bobić M;Lalonde A;Winey BA;Lomax AJ;Paganetti H
通讯作者：
Paganetti H

Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.

DOI：
10.1088/1361-6560/ab9fcb
发表时间：
2020-12-04
期刊：
Physics in medicine and biology
影响因子：
3.5
作者：
Lalonde A;Winey B;Verburg J;Paganetti H;Sharp GC
通讯作者：
Sharp GC

Adaptive proton therapy.

DOI：
10.1088/1361-6560/ac344f
发表时间：
2021-11-15
期刊：
Physics in medicine and biology
影响因子：
3.5
作者：
Paganetti H;Botas P;Sharp GC;Winey B
通讯作者：
Winey B

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

DOI：
10.1088/1361-6560/abe050
发表时间：
2021-02-25
期刊：
Physics in medicine and biology
影响因子：
3.5
作者：
Bobić M;Lalonde A;Sharp GC;Grassberger C;Verburg JM;Winey BA;Lomax AJ;Paganetti H
通讯作者：
Paganetti H

Low-Dose Computed Tomography Scanning Protocols for Online Adaptive Proton Therapy of Head-and-Neck Cancers.