Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy

结合辐射声学和超声成像,用于放射治疗的实时指导

基本信息

  • 批准号:
    10582051
  • 负责人:
  • 金额:
    $ 47.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2025-07-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY: Radiotherapy can be a highly effective treatment for many types of cancers. A major impediment to achieving its full curative promise is the current delivery process, where typically the originally planned tumor area is exposed to a fixed pattern of ionizing radiation over time irrespective of target deformations, organ motion, or function. To avoid misses, geometric uncertainties in this feedforward process are dealt with by increasing the planning margin around the tumor, but of necessity result in unnecessary exposure of uninvolved tissue which can lead to debilitating toxicities. We hypothesize that the unwanted radiation dose to normal tissues could be significantly reduced by using a feedback system that would “know” the shape and location of the tumor as well as the location and intensity of the irradiated dose during delivery. This framework would require the unique ability to simultaneously image the absorbed dose and the targeted tumor anatomy during radiation delivery, which is not possible with currently existing technologies. A known phenomenon in radiation physics is the generation of acoustic waves due to thermal expansion of a substance following the absorption of penetrating radiation. Detection of this radiation induced acoustic signal from clinical treatment beams has been recently demonstrated but has not been clinically realized. That signal exists “for free” in real time as a consequence of the treatment beam. The signal can be measured with ultrasound detectors and processed to reveal the location and intensity of the deposited energy/dose. Furthermore, ultrasound technologies have also long been established for medical imaging and monitoring of tumor size, shape and location, without introducing ionizing radiation. Therefore, we propose to combine measurements of radiation acoustics and ultrasound imaging in an integrated system using advanced matrix array probes to determine in real-time the volumetric delivered radiation dose with respect to that day's tumor shape and location, and ultimately to optimize tumor targeting via online feedback. The system will be optimized in phantoms and preclinical models. Then, its feasibility and versatility will be tested for treatment of tumors in the liver and the pancreas, two aggressive cancer sites where misplaced dose due to deformation and physiological motion not only compromises tumor eradication but also affects vital functions in the patient and subsequent treatment outcomes. Impact statement: We aim to implement new, safe, simple, cost effective technology and methods for online guidance of radiotherapy delivery that can provide simultaneous tumor tracking and dose compensation capabilities. These technologies will be evaluated in a pilot clinical study of liver and pancreatic cancers to demonstrate feasibility and potentials for translation. If successful, this feedback technology will have a significant impact on personalizing radiotherapy delivery and achieving optimal treatment outcomes.
项目概要: 放射治疗可以是许多类型癌症的高效治疗。实现其目标的主要障碍 完全治愈的希望是当前的递送过程,其中通常暴露最初计划的肿瘤区域 电离辐射随时间的固定模式,而与目标变形、器官运动或功能无关。到 为了避免遗漏,通过增加规划来处理该前馈过程中的几何不确定性, 肿瘤周围的边缘,但必然导致不必要的暴露未涉及的组织,这可能导致 致人衰弱的毒性我们假设正常组织受到的有害辐射剂量可能会显著增加, 通过使用“知道”肿瘤形状和位置以及位置的反馈系统来减少 和输送过程中辐射剂量的强度。这一框架需要具备独特的能力, 在辐射递送期间,同时对吸收剂量和靶向肿瘤解剖结构进行成像,这不是 这在现有技术下是可能的。 辐射物理学中的一种已知现象是由于辐射的热膨胀而产生声波。 吸收穿透性辐射后的物质。检测该辐射诱导的声信号 从临床治疗光束中分离的方法最近已经被证明,但还没有在临床上实现。该信号 作为治疗光束的结果在真实的时间中“免费”存在。信号可以用 超声检测器检测并处理以揭示沉积能量/剂量的位置和强度。 此外,超声技术也早已被建立用于医学成像和监测。 肿瘤大小、形状和位置,而不引入电离辐射。 因此,我们建议将辐射声学和超声成像的联合收割机测量结合起来, 集成系统,采用先进的矩阵阵列探头,实时确定输送的体积 根据当天肿瘤形状和位置的辐射剂量,并最终通过以下方式优化肿瘤靶向 在线反馈。该系统将在体模和临床前模型中进行优化。其次,它的可行性和 多功能性将用于治疗肝脏和胰腺肿瘤,这两个侵袭性癌症部位, 由于变形和生理运动引起的剂量错位不仅损害肿瘤根除, 影响患者的重要功能和后续治疗结果。 影响声明:我们的目标是实施新的,安全的,简单的,具有成本效益的技术和方法, 引导放射治疗输送,可提供同时的肿瘤跟踪和剂量补偿 能力的这些技术将在肝癌和胰腺癌的试点临床研究中进行评估, 证明翻译的可行性和潜力。如果成功,这种反馈技术将有一个 对个性化放射治疗和实现最佳治疗结果产生重大影响。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An ionizing radiation acoustic imaging (iRAI) technique for real-time dosimetric measurements for FLASH radiotherapy.
  • DOI:
    10.1002/mp.14358
  • 发表时间:
    2020-10
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Oraiqat I;Zhang W;Litzenberg D;Lam K;Ba Sunbul N;Moran J;Cuneo K;Carson P;Wang X;El Naqa I
  • 通讯作者:
    El Naqa I
A simulation study of ionizing radiation acoustic imaging (iRAI) as a real-time dosimetric technique for ultra-high dose rate radiotherapy (UHDR-RT).
  • DOI:
    10.1002/mp.15188
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Ba Sunbul NH;Zhang W;Oraiqat I;Litzenberg DW;Lam KL;Cuneo K;Moran JM;Carson PL;Wang X;Clarke SD;Matuszak MM;Pozzi SA;El Naqa I
  • 通讯作者:
    El Naqa I
Application of radiochromic gel dosimetry to commissioning of a megavoltage research linear accelerator for small-field animal irradiation studies.
  • DOI:
    10.1002/mp.14685
  • 发表时间:
    2021-03
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Ba Sunbul N;Oraiqat I;Rosen B;Miller C;Meert C;Matuszak MM;Clarke S;Pozzi S;Moran JM;El Naqa I
  • 通讯作者:
    El Naqa I
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Issam M. El Naqa其他文献

Issam M. El Naqa的其他文献

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{{ truncateString('Issam M. El Naqa', 18)}}的其他基金

Cerenkov Multi-Spectral Imaging (CMSI) for Adaptation and Real-Time Imaging in Radiotherapy
用于放射治疗中适应和实时成像的切伦科夫多光谱成像 (CMSI)
  • 批准号:
    10080509
  • 财政年份:
    2020
  • 资助金额:
    $ 47.98万
  • 项目类别:
Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景分析进行放射治疗的最佳决策
  • 批准号:
    10416058
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Federated Learning for Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景组学分析进行放射治疗最佳决策的联邦学习
  • 批准号:
    10417829
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景分析进行放射治疗的最佳决策
  • 批准号:
    10669029
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景分析进行放射治疗的最佳决策
  • 批准号:
    10299634
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景分析进行放射治疗的最佳决策
  • 批准号:
    9816658
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Optimal Decision Making in Radiotherapy Using Panomics Analytics
使用全景分析进行放射治疗的最佳决策
  • 批准号:
    10250778
  • 财政年份:
    2019
  • 资助金额:
    $ 47.98万
  • 项目类别:
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
  • 批准号:
    10245972
  • 财政年份:
    2018
  • 资助金额:
    $ 47.98万
  • 项目类别:
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
  • 批准号:
    9594556
  • 财政年份:
    2018
  • 资助金额:
    $ 47.98万
  • 项目类别:
Combined radiation acoustics and ultrasound imaging for real-time guidance in radiotherapy
结合辐射声学和超声成像,用于放射治疗的实时指导
  • 批准号:
    10470308
  • 财政年份:
    2018
  • 资助金额:
    $ 47.98万
  • 项目类别:

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