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基于体素的个体化 Lu-DOTATATE 剂量计算中体素 S 值方法的比较。

Comparison of voxel S-value methods for personalized voxel-based dosimetry of Lu-DOTATATE.

机构信息

Interdisciplinary Program in Bioengineering, Seoul National University Graduate School, Seoul, Korea.

Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea.

出版信息

Med Phys. 2022 Mar;49(3):1888-1901. doi: 10.1002/mp.15444. Epub 2022 Feb 1.

Abstract

PURPOSE

Voxel-based dosimetry is potentially accurate than organ-based dosimetry because it considers the anatomical variations in each individual and the heterogeneous radioactivity distribution in each organ. Here, voxel-based dosimetry for Lu-DOTATATE therapy was performed using single and multiple voxel S-value (VSV) methods and compared with Monte Carlo simulations. To verify these methods, we adopted sequential Lu-DOTATATE single-photon emission computed tomography and X-ray computed tomography (SPECT/CT) dataset acquired from Sunway Medical Centre using the major vendor's SPECT/CT scanner (Siemens Symbia Intevo).

METHODS

The administered activity of Lu-DOTATATE was 7.99 ± 0.36 GBq. SPECT/CT images were acquired 0.5, 4, 24, and 48 h after injection in Sunway Medical Centre. For the multiple VSV method, VSV kernels of Lu in media with various densities were generated by Geant4 Application for Emission Tomography (GATE) simulation first. The second step involved the convolution of the time-integrated activity map with each kernel to produce medium-specific dose maps. Third, each medium-specific dose map was masked using binary medium masks, which were generated from CT-based density maps. Finally, all masked dose maps were summed to generate the final dose map. VSV methods with four different VSV sets (1, 4, 10, and 20 VSVs) were compared. Voxel-wise density correction for the single VSV method was also performed. The absorbed doses in the kidneys, bone marrow, and tumors were analyzed, and the relative errors between the VSV and Monte Carlo simulation approaches were estimated. Organ-based dosimetry using Organ Level INternal Dose Assessment/EXponential Modeling (OLINDA/EXM) was also compared.

RESULTS

The accuracy of the multiple VSV approach increased with the number of dose kernels. The average dose estimation errors of a single VSV with density correction and 20 VSVs were less than 6% in most cases, although organ-based dosimetry using OLINDA/EXM yielded an error of up to 123%. The advantages of the single VSV method with density correction and the 20 VSVs over organ-based dosimetry were most evident in bone marrow and bone-metastatic tumors with heterogeneous medium properties.

CONCLUSION

The single VSV method with density correction and multiple VSV method with 20 dose kernels enabled fast and accurate radiation dose estimation. Accordingly, voxel-based dosimetry methods can be useful for managing administration activity and for investigating tumor dose responses to further increase the therapeutic efficacy of Lu-DOTATATE.

摘要

目的

与器官剂量学相比,体素剂量学更准确,因为它考虑了每个个体的解剖学变化和每个器官中不均匀的放射性分布。在这里,我们使用单和多体素 S 值(VSV)方法对 Lu-DOTATATE 治疗进行体素剂量学计算,并与蒙特卡罗模拟进行比较。为了验证这些方法,我们采用了由西门子 Symbia Intevo 生产的主要供应商的 SPECT/CT 扫描仪,在顺福医疗中心获取连续的 Lu-DOTATATE 单光子发射计算机断层扫描和 X 射线计算机断层扫描(SPECT/CT)数据集。

方法

Lu-DOTATATE 的给药活度为 7.99 ± 0.36GBq。在顺福医疗中心,注射后 0.5、4、24 和 48 小时分别采集 SPECT/CT 图像。对于多 VSV 方法,首先通过 Geant4 应用于发射断层扫描(GATE)模拟生成 Lu 在不同密度介质中的 VSV 核。第二步涉及将时间积分活动图与每个核卷积,以生成特定介质的剂量图。第三步,使用从 CT 密度图生成的二进制介质掩模对每个特定介质的剂量图进行掩蔽。最后,将所有掩蔽的剂量图相加,生成最终的剂量图。比较了四种不同的 VSV 集(1、4、10 和 20 个 VSV)的 VSV 方法。还对单 VSV 方法进行了体素密度校正。分析了肾脏、骨髓和肿瘤的吸收剂量,并估计了 VSV 与蒙特卡罗模拟方法之间的相对误差。还比较了基于器官的剂量学,即器官水平内部剂量评估/指数建模(OLINDA/EXM)。

结果

多 VSV 方法的准确性随着剂量核的数量增加而提高。单 VSV 密度校正和 20 个 VSV 的平均剂量估计误差在大多数情况下小于 6%,尽管基于 OLINDA/EXM 的器官剂量学的误差高达 123%。在具有不均匀介质特性的骨髓和骨转移肿瘤中,单 VSV 密度校正和 20 个 VSV 的优势最为明显。

结论

单 VSV 密度校正和多 VSV 20 个剂量核的方法可以快速准确地估算辐射剂量。因此,体素剂量学方法可用于管理给药活度,并研究肿瘤剂量反应,以进一步提高 Lu-DOTATATE 的治疗效果。

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