Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China.
Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Sci Rep. 2023 Mar 10;13(1):4020. doi: 10.1038/s41598-023-30824-4.
Partition model (PM) for Y-90 microsphere radioembolization is limited in providing 3D dosimetrics. Voxel-S-Values (VSV) method has good agreement with Monte Carlo (MC) simulations for 3D absorbed dose conversion. We propose a new VSV method and compare its performance along with PM, MC and other VSV methods for Y-90 RE treatment planning based on Tc-99m MAA SPECT/CT. Twenty Tc-99m-MAA SPECT/CT patient data are retrospectively analyzed. Seven VSV methods are implemented: (1) local energy deposition; (2) liver kernel; (3) liver kernel and lung kernel; (4) liver kernel with density correction (LiKD); (5) liver kernel with center voxel scaling (LiCK); (6) liver kernel and lung kernel with density correction (LiLuKD); (7) proposed liver kernel with center voxel scaling and lung kernel with density correction (LiCKLuKD). Mean absorbed dose and maximum injected activity (MIA) obtained by PM and VSV are evaluated against MC results, and 3D dosimetrics generated by VSV are compared with MC. LiKD, LiCK, LiLuKD and LiCKLuKD have the smallest deviation in normal liver and tumors. LiLuKD and LiCKLuKD have the best performance in lungs. MIAs are similar by all methods. LiCKLuKD could provide MIA consistent with PM, and precise 3D dosimetrics for Y-90 RE treatment planning.
分区模型 (PM) 用于 Y-90 微球放射性栓塞在提供 3D 剂量学方面存在局限性。体素-S 值 (VSV) 方法在将 3D 吸收剂量转换为蒙特卡罗 (MC) 模拟方面具有很好的一致性。我们提出了一种新的 VSV 方法,并将其与 PM、MC 和其他 VSV 方法在基于 Tc-99m MAA SPECT/CT 的 Y-90 RE 治疗计划中的性能进行了比较。对 20 例 Tc-99m-MAA SPECT/CT 患者数据进行了回顾性分析。实现了七种 VSV 方法:(1)局部能量沉积;(2)肝脏核;(3)肝脏核和肺核;(4)具有密度校正的肝脏核 (LiKD);(5)具有中心体素缩放的肝脏核 (LiCK);(6)具有密度校正的肝脏核和肺核 (LiLuKD);(7)提出的具有中心体素缩放和肺核密度校正的肝脏核 (LiCKLuKD)。通过 PM 和 VSV 获得的平均吸收剂量和最大注入活度 (MIA) 与 MC 结果进行评估,并将 VSV 生成的 3D 剂量学与 MC 进行比较。LiKD、LiCK、LiLuKD 和 LiCKLuKD 在正常肝脏和肿瘤中具有最小的偏差。LiLuKD 和 LiCKLuKD 在肺部的性能最佳。所有方法的 MIA 相似。LiCKLuKD 可以为 Y-90 RE 治疗计划提供与 PM 一致且精确的 3D 剂量学。