算法
计算机科学
剂量学
工作流程
人工智能
核医学
数据库
医学
作者
Laure Vergnaud,Yuni K. Dewaraja,Anne‐Laure Giraudet,Jean‐Noël Badel,David Sarrut
标识
DOI:10.1186/s40658-024-00658-8
摘要
Abstract $$^{177}{\hbox {Lu}}$$ 177 Lu 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 $$^{177}{\hbox {Lu}}$$ 177 Lu -DOTATATE and $$^{177}{\hbox {Lu}}$$ 177 Lu -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.
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