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.

虽然适应性疗法之前已经被研究过，但之前的研究都没有涉及到独特的挑战（范围不确定性）和质子的独特功能（子束优化和即时伽玛成像）治疗。该提案将首次通过开发创新硬件和解决方案来解决这些问题软件方法论。我们预计治疗计划和实施将完全适应内部情况患者几何形状的微小变化。该提案旨在预测患者在接受治疗之前的剂量分布（或其替代）治疗实施并纠正测量剂量与预期剂量之间小于 2 的任何差异分钟。这将使我们能够在适应性环境和大大减少的目标中提供（质子）放射治疗每天进行体积裕度（质子治疗中在射束方向上 2 毫米各向同性加 2 毫米范围裕度），同时患者位于治疗台上。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玛和锥束 CT 成像与快速剂量计算相结合的优势。我们将把这项技术与小束适应的新颖框架结合起来。虽然我们的一些方法也将改善光子疗法，但我们将重点关注质子疗法，因为它为体内剂量验证提供了独特的机会，也提供了由于范围不确定性而带来的独特挑战。我们的方法将提供给整个质子治疗界。

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.