Quantitative SPECT for Targeted Radionuclide Therapy

用于靶向放射性核素治疗的定量 SPECT

基本信息

  • 批准号:
    8921794
  • 负责人:
  • 金额:
    $ 42万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-03-01 至 2017-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Targeted radionuclide therapy (TRT) plays an increasingly important role in treatment of a number of cancers including thyroid cancer and non-Hodgkins lymphoma. TRT agents for other cancers are at various stages of development. For example, locoregional therapy using Y-90 labeled microspheres for non-resectable liver tumors appears promising. For these therapies, dosimetry is an essential part of their development, approval, and validation. Dosimetry can help reduce adverse reactions in trials and provides insight into the reasons for failure or success of the therapeutic agents both in individuals and in populations. It also plays an important role in patient-specific treatment planning. Dose estimates in TRT are based on results of quantitative planar or SPECT imaging studies. Quantitative planar imaging, though widely used, involves ad hoc combinations of compensations for various image degrading effects, resulting in variable accuracy and precision. Image reconstruction methods available on commercial SPECT systems are typically designed and optimized for diagnostic procedures involving visual interpretation and not for quantification. In the previous funding period of this grant we developed quantitative SPECT reconstruction methods and validated them in the context of whole organ dosimetry. However, for tumors, locoregional therapy or radiolabeled peptides, 3D dosimetry is essential, which requires estimates of the 3D activity distribution in organs at the sub-organ level. The accuracy of activity distribution estimates is limited by image degrading factors, noise, and partial volume effects. The ability to image bremsstrahlung radiation from TRT agents that do not emit gamma rays could have a number of important applications, but is complicated by the continuous energy spectrum of primary photons and the resulting high levels of photon scatter. In this competing renewal, we propose to develop and optimize quantitative SPECT acquisition and reconstruction methods for TRT dosimetry applications. These will include SPECT reconstruction methods that model the image degrading effects for both gamma ray and bremsstrahlung radiation emitters. They will use 3D and 4D maximum a posteriori (MAP) methods to provide noise reduction and incorporate anatomical information to reduce partial volume effects. The 4D methods will also provide further noise reduction through optimized smoothing in the time dimension and incorporate registration into the reconstruction algorithm. We propose to optimize and validate these new quantitative SPECT methods using a combination of physical phantom, realistic simulation and animal studies and to apply them in clinical trials of several TRT agents. Finally, we will rigorously evaluate the accuracy and precision of these methods in comparison with conventional methods in simulated populations of phantoms. The result of this research will be a set of well-validated quantitative SPECT reconstruction methods with well-characterized accuracies and precisions. These methods would provide substantial improvements in 3D dose estimates, and thus in the ability to predict and understand biological response and optimize therapeutic doses for TRT.
描述(由申请人提供):靶向放射性核素治疗(TRT)在包括甲状腺癌和非霍奇金淋巴瘤在内的多种癌症的治疗中发挥着越来越重要的作用。用于其他癌症的 TRT 药物正处于不同的开发阶段。例如,使用 Y-90 标记的微球治疗不可切除的肝脏肿瘤的局部治疗似乎很有前景。对于这些疗法,剂量测定是其开发、批准和验证的重要组成部分。剂量测定可以帮助减少试验中的不良反应,并深入了解治疗药物在个体和人群中失败或成功的原因。它还在患者特定的治疗计划中发挥着重要作用。 TRT 中的剂量估计基于定量平面或 SPECT 成像研究的结果。定量平面成像虽然广泛使用,但涉及对各种图像降级效应的补偿的临时组合,导致不同的准确度和精确度。商业 SPECT 系统上可用的图像重建方法通常是为涉及视觉解释的诊断程序而设计和优化的,而不是为了量化。在本次资助的前一个资助期间,我们开发了定量 SPECT 重建方法,并在整个器官剂量测定的背景下对其进行了验证。然而,对于肿瘤、局部治疗或放射性标记肽,3D 剂量测定至关重要,这需要在亚器官水平估计器官中的 3D 活性分布。活动分布估计的准确性受到图像降级因素、噪声和部分体积效应的限制。对不发射伽马射线的 TRT 剂的轫致辐射进行成像的能力可能具有许多重要的应用,但由于初级光子的连续能谱和由此产生的高水平光子散射而变得复杂。在这次竞争更新中,我们建议开发和优化 TRT 剂量测定应用的定量 SPECT 采集和重建方法。其中包括 SPECT 重建方法,用于模拟伽马射线和轫致辐射发射器的图像退化效应。他们将使用 3D 和 4D 最大后验 (MAP) 方法来降低噪声,并结合解剖信息来减少部分体积效应。 4D 方法还将通过时间维度的优化平滑来进一步降低噪声,并将配准纳入重建算法中。我们建议结合物理体模、真实模拟和动物研究来优化和验证这些新的定量 SPECT 方法,并将其应用于几种 TRT 药物的临床试验。最后,我们将在模拟的体模群体中与传统方法进行比较,严格评估这些方法的准确性和精确度。这项研究的结果将是一套经过充分验证的定量 SPECT 重建方法,具有良好的准确度和精密度。这些方法将显着改进 3D 剂量估计,从而提高预测和理解生物反应并优化 TRT 治疗剂量的能力。

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)
EQPlanar: a maximum-likelihood method for accurate organ activity estimation from whole body planar projections.
  • DOI:
    10.1088/0031-9155/56/17/004
  • 发表时间:
    2011-09-07
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Song N;He B;Wahl RL;Frey EC
  • 通讯作者:
    Frey EC
Development and evaluation of convergent and accelerated penalized SPECT image reconstruction methods for improved dose-volume histogram estimation in radiopharmaceutical therapy.
开发和评估收敛和加速惩罚 SPECT 图像重建方法,以改进放射性药物治疗中的剂量体积直方图估计。
  • DOI:
    10.1118/1.4897613
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Cheng,Lishui;Hobbs,RobertF;Sgouros,George;Frey,EricC
  • 通讯作者:
    Frey,EricC
Verification of a method to detect glass microspheres via micro-CT.
验证通过显微 CT 检测玻璃微球的方法。
  • DOI:
    10.1002/mp.13874
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Crookston,NathanR;Pasciak,AlexanderS;Abiola,Godwin;Donahue,Danielle;Weiss,CliffordR;Frey,EricC
  • 通讯作者:
    Frey,EricC
Development of a Customizable Hepatic Arterial Tree and Particle Transport Model for Use in Treatment Planning.
Accuracy and precision of radioactivity quantification in nuclear medicine images.
  • DOI:
    10.1053/j.semnuclmed.2011.11.003
  • 发表时间:
    2012-05
  • 期刊:
  • 影响因子:
    4.9
  • 作者:
    Frey EC;Humm JL;Ljungberg M
  • 通讯作者:
    Ljungberg M
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ERIC C. FREY其他文献

ERIC C. FREY的其他文献

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{{ truncateString('ERIC C. FREY', 18)}}的其他基金

Quantitative SPECT of Difficult to Image Therapeutic Radionuclides: An Extensible Cloud-Based Framework
难以成像的治疗性放射性核素的定量 SPECT:可扩展的基于云的框架
  • 批准号:
    9622938
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
Development and Validation of a Collaborative Web/Cloud-Based Dosimetry System for Radiopharmaceutical Therapy.
用于放射性药物治疗的协作网络/基于云的剂量测定系统的开发和验证。
  • 批准号:
    9909727
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
Development and Validation of a Collaborative Web/Cloud-Based Dosimetry System for Radiopharmaceutical Therapy.
用于放射性药物治疗的协作网络/基于云的剂量测定系统的开发和验证。
  • 批准号:
    10019481
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
Development and Validation of a Collaborative Web/Cloud-Based Dosimetry System for Radiopharmaceutical Therapy.
用于放射性药物治疗的协作网络/基于云的剂量测定系统的开发和验证。
  • 批准号:
    10249268
  • 财政年份:
    2018
  • 资助金额:
    $ 42万
  • 项目类别:
End-to-End Optimization of SPECT Instrumentation, Acquisition, and Reconstruction
SPECT 仪器、采集和重建的端到端优化
  • 批准号:
    8595309
  • 财政年份:
    2013
  • 资助金额:
    $ 42万
  • 项目类别:
End-to-End Optimization of SPECT Instrumentation, Acquisition, and Reconstruction
SPECT 仪器、采集和重建的端到端优化
  • 批准号:
    8775665
  • 财政年份:
    2013
  • 资助金额:
    $ 42万
  • 项目类别:
End-to-End Optimization of SPECT Instrumentation, Acquisition, and Reconstruction
SPECT 仪器、采集和重建的端到端优化
  • 批准号:
    8431490
  • 财政年份:
    2013
  • 资助金额:
    $ 42万
  • 项目类别:
Dose Reduction in Pediatric Molecular Imaging
儿科分子成像的剂量减少
  • 批准号:
    8432432
  • 财政年份:
    2012
  • 资助金额:
    $ 42万
  • 项目类别:
Dose Reduction in Pediatric Molecular Imaging
儿童分子成像的剂量减少
  • 批准号:
    9322669
  • 财政年份:
    2012
  • 资助金额:
    $ 42万
  • 项目类别:
Dose Reduction in Pediatric Molecular Imaging
儿童分子成像的剂量减少
  • 批准号:
    8235635
  • 财政年份:
    2012
  • 资助金额:
    $ 42万
  • 项目类别:

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