Development of lymphatic nodes in the Chinese reference adult male voxel model (CRAM) with applications to radionuclide therapy
LIU Huan, QIU Rui, PAN Yuxi, LI Junli
Key Laboratory of Particle and Radiation Imaging of the Ministry of Education, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
摘要利用人体计算模型对接受放射性核素治疗的淋巴癌病人进行剂量评估时,淋巴结是至关重要的,国际放射防护委员会(International Commission on Radiological Protection,ICRP)在103号报告中将淋巴结作为辐射敏感器官。由于淋巴结在人体内分布广泛且尺寸小,在人体计算模型中很难对其进行描述。该文介绍了一种在中国成年男性参考人体素模型(Chinese reference adult male voxel model,CRAM)中自动建立淋巴结的方法,并计算了放射性核素131I分布在淋巴结时,人体其他组织或器官的S因子。在CRAM中建立了17个部位的淋巴结,淋巴结总数目、总质量符合中国参考值。S因子的计算作为淋巴结在放射性核素治疗剂量评估中的一个应用,其大小基本上能够反映淋巴结及人体其他组织或器官的位置信息。
Abstract:The dosages to lymphatic nodes are critical to evaluating the dose in lymphoma patients treated with radionuclide therapy in studies using human computational phantoms. Furthermore, the International Commission on Radiological Protection (ICRP) now considers the lymphatic nodes to be a radiosensitive tissue in ICRP Publication 103. Since lymphatic nodes are widely distribute the human body and are quite small, they are difficult to model in human computational models. This paper introduces a method that automatically develops lymphatic nodes in the Chinese reference adult male voxel model (CRAM). The S-values for 131I are calculated with the lymphatic nodes as the source organs and the other organs and tissues in the human body treated as the target regions. The CRAM model has a total of 17 lymphatic node sites. Both the number and mass of the lymphatic nodes accord with the Chinese reference values. The S-value calculation illustrates the dose assessment for radionuclide therapy and its value is related to the position of the lymphatic nodes and other organs and tissues in the human body.
刘欢, 邱睿, 潘羽晞, 李君利. 中国成年男性参考人体素模型CRAM淋巴结的建立及其在放射性核素治疗中的应用[J]. 清华大学学报(自然科学版), 2016, 56(12): 1290-1296.
LIU Huan, QIU Rui, PAN Yuxi, LI Junli. Development of lymphatic nodes in the Chinese reference adult male voxel model (CRAM) with applications to radionuclide therapy. Journal of Tsinghua University(Science and Technology), 2016, 56(12): 1290-1296.
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