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Data from: Construction of Taiwanese adult reference phantoms for internal dose evaluation

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DataCite Commons2025-04-01 更新2025-04-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.qq300
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In the internal dose evaluation, the specific absorbed fraction (SAF) and S-value are calculated from the reference phantom based on Caucasian data. The differences in height and weight between Caucasian and Asian may lead to inaccurate dose estimation. In this study, we developed the Taiwanese reference phantoms. 40 volunteers were recruited. Magnetic resonance images (MRI) were obtained, and the contours of 15 organs were drawn. The Taiwanese reference man (TRM) and Taiwanese reference woman (TRW) were constructed. For the SAF calculation, the differences in the self-absorption SAF (self-SAF) between the TRM, TRW, and Oak Ridge National Laboratory (ORNL) adult phantom were less than 10% when the difference in organ mass was less than 20%. The average SAF from liver to pancreas of TRM was 38% larger than that of the ORNL adult phantom, and the result of TRW was 2.02 times higher than that of the ORNL adult phantom. For the S-value calculation, the ratios of TRW and ORNL adult phantom ranged from 0.91 to 1.57, and the ratios of TRM and ORNL adult phantom ranged from 1.04 to 2.29. The SAF and S-value results were dominantly affected by the height, weight, organ mass, and geometric relationship between organs. By using the TRM and TRW, the accuracy of internal dose evaluation can be increased for radiation protection and nuclear medicine.

在内部剂量评估中,比吸收分数(specific absorbed fraction, SAF)和S值是基于高加索人数据的参考体模计算得出的。高加索人与亚洲人在身高和体重上的差异可能导致剂量估计不准确。本研究中,我们构建了台湾参考体模:招募40名志愿者,获取其磁共振成像(magnetic resonance imaging, MRI)数据,并绘制15个器官的轮廓,进而构建出台湾参考男性(TRM)与台湾参考女性(TRW)。在SAF计算中,当器官质量差异小于20%时,TRM、TRW与橡树岭国家实验室(ORNL)成人模体之间的自吸收比吸收分数(self-absorption SAF, self-SAF)差异小于10%;TRM的肝到胰腺SAF平均值比ORNL成人模体高38%,TRW的结果则为ORNL成人模体的2.02倍。在S值计算方面,TRW与ORNL成人模体的比值范围为0.91至1.57,TRM与ORNL成人模体的比值范围为1.04至2.29。SAF和S值结果主要受身高、体重、器官质量及器官间几何关系的影响。通过使用TRM和TRW,可提高辐射防护与核医学领域内部剂量评估的准确性。
提供机构:
Dryad
创建时间:
2016-08-29
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