论文标题
靶向放射性核素疗法的快速完整患者和放射性同位素蒙特卡洛模拟：引入EGS_MIRD
Fast full patient and radioisotope Monte Carlo simulations of targeted radionuclide therapy: introducing egs_mird
论文作者
论文摘要
背景：靶向放射性核素疗法（TRT）是一个快速增长的场，但引起了很多兴趣，但是，剂量测定计算技术仍然相对简单。目的：引入EGS_MIRD，这是一种建立在EGSNRC的新型蒙特卡洛应用程序，该应用程序允许用户对全患者组织和密度（使用临床CT图像）和放射性核素分布（使用临床PET图像）进行建模，以快速，详细的TRT剂量计算。方法：引入了新型应用EGS_MIRD，包括其结构和变化方法。描述了一个新的EGS ++源类EGS_INTERNAL_SOURCE和EGS_RADIONUCLIDE_SOURCE的修改版本。将新代码与S值核的其他MC计算以及使用电子Fano测试进行自validation进行了比较。完整的患者前列腺177LU TRT癌症治疗模拟是使用一组患者DICOM CT和[18F] -DCFPYL PET数据进行的。结果：在使用EGS_MIRD计算的S值内核与文献中发现的S值内核之间发现了良好的一致性。 FANO测试满足到0.1％。当使用轨道长度估计器而不是对电子传输进行建模，明确对骨髓进行建模（而不是使用通用组织组合物），并将含有部分或全部的voxel活性减少至一半或无。使用轨道长度估计器的仿真可以在15分钟内完成。结论：这项工作表明，EGS Mird是一种可靠的MC代码，用于计算TRT剂量，就像患者CT和PET数据所允许的允许一样，支持EGS Mird用于TRT中的剂量计算。
BACKGROUND: Targeted Radionuclide Therapy (TRT) is a fast-growing field garnering much interest, however, dosimetry calculation techniques remain relatively simple. PURPOSE: To introduce egs_mird, a new Monte Carlo application built in EGSnrc which allows users to model full patient tissue and density (using clinical CT images) and radionuclide distribution (using clinical PET images) for fast and detailed TRT dose calculation. METHODS: The novel application egs_mird is introduced, including its structure and variation reduction approaches. A new egs++ source class egs_internal_source and a modified version of egs_radionuclide_source are described. The new code is compared to other MC calculations of S-value kernels, along with self-validation using the electron Fano test. Full patient prostate 177Lu TRT cancer treatment simulations are performed using a single set of patient DICOM CT and [18F]-DCFPyL PET data. RESULTS: Good agreement is found between S-value kernels calculated using egs_mird and those found in the literature. The Fano test is satisfied to 0.1%. Patient prostate, rectum, bone marrow, and bladder dose volume histogram results did not vary significantly when using the track-length estimator and not modelling electron transport, modelling bone marrow explicitly (rather than using generic tissue compositions), and reducing activity to voxels containing partial or full calcifications to half or none, respectively. Simulations using the track-length estimator can be completed in under 15 minutes. CONCLUSION: This work shows egs mird to be a reliable MC code for computing TRT doses as realistically as the patient CT and PET data allow, supporting the use of egs mird for dose calculations in TRT.
