Laure Vergnaud, Yuni K Dewaraja, Anne-Laure Giraudet, Jean-Noël Badel, David Sarrut
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引用次数: 0
摘要
177 Lu 放射性药物治疗是一种标准化的全身治疗方法,每次注射的典型剂量为 7.4 GBq,但其反应因人而异。剂量测定为个性化治疗提供了机会,但它需要多次注射后成像,以监测放射性药物在一段时间内的生物分布。这给资源有限的中心带来了额外的成像负担。本综述探讨了通过优化采集类型、尽量减少成像次数和缩短成像时间来减轻这种负担的方法。在总结了剂量测定的不同步骤并提供了 177 Lu -DOTATATE 和 177 Lu -PSMA 的剂量测定工作流程示例后,我们研究了基于减少采集次数甚至只采集一次的剂量测定工作流程。我们对简化方法及其假设和局限性进行了非详尽的描述。接下来,我们将详细介绍每种正常组织和肿瘤的特异性,然后回顾文献中的剂量-反应关系。最后,我们将讨论目前剂量测定工作流程的局限性,并提出改进途径。
A review of 177Lu dosimetry workflows: how to reduce the imaging workloads?
radiopharmaceutical therapy is a standardized systemic treatment, with a typical dose of 7.4 GBq per injection, but its response varies from patient to patient. Dosimetry provides the opportunity to personalize treatment, but it requires multiple post-injection images to monitor the radiopharmaceutical's biodistribution over time. This imposes an additional imaging burden on centers with limited resources. This review explores methods to lessen this burden by optimizing acquisition types and minimizing the number and duration of imaging sessions. After summarizing the different steps of dosimetry and providing examples of dosimetric workflows for -DOTATATE and -PSMA, we examine dosimetric workflows based on a reduced number of acquisitions, or even just one. We provide a non-exhaustive description of simplified methods and their assumptions, as well as their limitations. Next, we detail the specificities of each normal tissue and tumors, before reviewing dose-response relationships in the literature. In conclusion, we will discuss the current limitations of dosimetric workflows and propose avenues for improvement.
期刊介绍:
EJNMMI Physics is an international platform for scientists, users and adopters of nuclear medicine with a particular interest in physics matters. As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy.