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本文引用的文献

1
Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology.自适应放射治疗(ART)策略与技术考量:来自NRG肿瘤学的ART综述现状
Int J Radiat Oncol Biol Phys. 2021 Mar 15;109(4):1054-1075. doi: 10.1016/j.ijrobp.2020.10.021. Epub 2020 Oct 24.
2
Anatomical Adaptation-Early Clinical Evidence of Benefit and Future Needs in Lung Cancer.解剖学适应性——肺癌早期临床获益证据及未来需求
Semin Radiat Oncol. 2019 Jul;29(3):274-283. doi: 10.1016/j.semradonc.2019.02.009.
3
Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician.头颈部癌症适应性放疗(ART):知情临床医生的概念性考虑。
Semin Radiat Oncol. 2019 Jul;29(3):258-273. doi: 10.1016/j.semradonc.2019.02.008.
4
Predictive Models to Determine Clinically Relevant Deviations in Delivered Dose for Head and Neck Cancer.预测模型以确定头颈部癌症中临床相关的剂量偏差。
Pract Radiat Oncol. 2019 Jul-Aug;9(4):e422-e431. doi: 10.1016/j.prro.2019.02.014. Epub 2019 Mar 2.
5
Evaluation of deformable image registration accuracy for CT images of the thorax region.评估胸部 CT 图像的形变图像配准精度。
Phys Med. 2019 Jan;57:191-199. doi: 10.1016/j.ejmp.2018.12.030. Epub 2019 Jan 12.
6
Evaluation of Image Registration Accuracy for Tumor and Organs at Risk in the Thorax for Compliance With TG 132 Recommendations.评估胸部肿瘤和危及器官的图像配准准确性以符合TG 132建议
Adv Radiat Oncol. 2018 Sep 7;4(1):177-185. doi: 10.1016/j.adro.2018.08.023. eCollection 2019 Jan-Mar.
7
ELPHA: Dynamically deformable liver phantom for real-time motion-adaptive radiotherapy treatments.ELPHA:用于实时运动自适应放射治疗的动态可变形肝脏体模。
Med Phys. 2019 Feb;46(2):839-850. doi: 10.1002/mp.13359. Epub 2019 Jan 16.
8
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.自动分割在胸部放射治疗计划中的应用:2017 年 AAPM 的重大挑战。
Med Phys. 2018 Oct;45(10):4568-4581. doi: 10.1002/mp.13141. Epub 2018 Sep 19.
9
Practical quantification of image registration accuracy following the AAPM TG-132 report framework.按照美国医学物理学家协会(AAPM)TG-132报告框架对图像配准精度进行实际量化。
J Appl Clin Med Phys. 2018 Jul;19(4):125-133. doi: 10.1002/acm2.12348. Epub 2018 Jun 7.
10
CALIPER: A deformable image registration algorithm for large geometric changes during radiotherapy for locally advanced non-small cell lung cancer.CALIPER:一种用于局部晚期非小细胞肺癌放射治疗中大幅几何变化的可变形图像配准算法。
Med Phys. 2018 Jun;45(6):2498-2508. doi: 10.1002/mp.12891. Epub 2018 Apr 16.

放疗中的刚性和弹性图像配准:NRG 肿瘤学临床试验参与的自我学习评估指南。

Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.

机构信息

Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, California; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.

Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia.

出版信息

Pract Radiat Oncol. 2021 Jul-Aug;11(4):282-298. doi: 10.1016/j.prro.2021.02.007. Epub 2021 Mar 2.

DOI:10.1016/j.prro.2021.02.007
PMID:33662576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8406084/
Abstract

PURPOSE

The registration of multiple imaging studies to radiation therapy computed tomography simulation, including magnetic resonance imaging, positron emission tomography-computed tomography, etc. is a widely used strategy in radiation oncology treatment planning, and these registrations have valuable roles in image guidance, dose composition/accumulation, and treatment delivery adaptation. The NRG Oncology Medical Physics subcommittee formed a working group to investigate feasible workflows for a self-study credentialing process of image registration commissioning.

METHODS AND MATERIALS

The American Association of Physicists in Medicine (AAPM) Task Group 132 (TG132) report on the use of image registration and fusion algorithms in radiation therapy provides basic guidelines for quality assurance and quality control of the image registration algorithms and the overall clinical process. The report recommends a series of tests and the corresponding metrics that should be evaluated and reported during commissioning and routine quality assurance, as well as a set of recommendations for vendors. The NRG Oncology medical physics subcommittee working group found incompatibility of some digital phantoms with commercial systems. Thus, there is still a need to provide further recommendations in terms of compatible digital phantoms, clinical feasible workflow, and achievable thresholds, especially for future clinical trials involving deformable image registration algorithms. Nine institutions participated and evaluated 4 commonly used commercial imaging registration software and various versions in the field of radiation oncology.

RESULTS AND CONCLUSIONS

The NRG Oncology Working Group on image registration commissioning herein provides recommendations on the use of digital phantom/data sets and analytical software access for institutions and clinics to perform their own self-study evaluation of commercial imaging systems that might be employed for coregistration in radiation therapy treatment planning and image guidance procedures. Evaluation metrics and their corresponding values were given as guidelines to establish practical tolerances. Vendor compliance for image registration commissioning was evaluated, and recommendations were given for future development.

摘要

目的

将多个成像研究(包括磁共振成像、正电子发射断层扫描计算机断层扫描等)注册到放射治疗计算机断层扫描模拟中,是放射肿瘤治疗计划中广泛使用的策略,这些注册在图像引导、剂量组成/积累和治疗交付适应方面具有重要作用。NRG 肿瘤学医学物理分会成立了一个工作组,研究图像配准认证的自学工作流程的可行性。

方法与材料

美国医学物理学家协会(AAPM)第 132 工作组(TG132)报告了在放射治疗中使用图像配准和融合算法的基本指南,为图像配准算法和整体临床过程的质量保证和质量控制提供了基本指南。该报告建议在认证和常规质量保证期间应评估和报告一系列测试以及相应的指标,并为供应商提供了一系列建议。NRG 肿瘤学医学物理分会工作组发现一些数字体模与商业系统不兼容。因此,在兼容的数字体模、临床可行的工作流程和可实现的阈值方面仍需要提供进一步的建议,特别是对于涉及可变形图像配准算法的未来临床试验。九个机构参与并评估了 4 种常用的商业成像注册软件及其在放射肿瘤学领域的各种版本。

结果与结论

NRG 肿瘤学成像配准认证工作组在此提供了有关数字体模/数据集和分析软件访问的使用建议,以供机构和临床使用,以对其可能用于放射治疗计划和图像引导程序中的核心配准的商业成像系统进行自己的自学评估。评估指标及其相应值作为建立实用公差的指南给出。评估了图像配准认证的供应商合规性,并为未来的发展提出了建议。