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Evaluation of RADIANCE Monte Carlo algorithm for treatment planning in electron based Intraoperative Radiotherapy (IOERT) 评估 RADIANCE 蒙地卡罗算法在基于电子的术中放疗(IOERT)中的治疗计划。
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2023.12.002
Charoula Iliaskou, Giulio Rossi, Ilias Sachpazidis, Vasilios Boronikolas, Mark Gainey, Dimos Baltas

Purpose

To perform experimental as well as independent Monte Carlo (MC) evaluation of the MC algorithm implemented in RADIANCE version 4.0.8, a dedicated treatment planning system (TPS) for 3D electron dose calculations in intraoperative radiation therapy (IOERT).

Methods and materials

The MOBETRON 2000 (IntraOp Medical Corporation, Sunnyvale, CA) IOERT accelerator was employed. PDD and profiles for five cylindrical plastic applicators with 50–90 mm diameter and 0°, 30° beveling were measured in a water phantom, at nominal energies of 6, 9 and 12 MeV. Additional PDD measurements were performed for all the energies without applicator. MC modeling of the MOBETRON was performed with the user code BEAMnrc and egs_chamber of the MC simulation toolkit EGSnrc. The generated phase space files of the two 0°-bevel applicators (50 mm, 80 mm) and three energies in both RADIANCE and BEAMnrc, were used to determine PDD and profiles in various set-ups of virtual water phantoms with air and bone inhomogeneities. 3D dose distributions were also calculated in image data sets of an anthropomorphic tissue-equivalent pelvis phantom. Image acquisitions were realized with a CT scanner (Philips Big Bore CT, Netherlands). Gamma analysis was applied to quantify the deviations of the RADIANCE calculations to the measurements and EGSnrc calculations. Gamma criteria normalized to the global maximum were investigated between 2%, 2 mm and 3%, 3 mm.

Results

RADIANCE MC calculations satisfied the gamma criteria of 3%, 3 mm with a tolerance limit of 85% passing rate compared to in- water phantom measurements, except for the dose profiles of the 30° beveled applicators. Mismatches lay in surface doses, in umbra regions and in the beveled end of the 30° applicators. A very good agreement to the EGSnrc calculations in heterogeneous media was observed. Deviations were more pronounced for the larger applicator diameter and higher electron energy. In 3D dose comparisons in the anthropomorphic phantom, gamma passing rates were higher than 96 % for both simulated applicators.

Conclusions

RADIANCE MC algorithm agrees within 3%, 3 mm criteria with in-water phantom measurements and EGSnrc MC dose distributions in heterogeneous media for 0°-bevel applicators. The user should be aware of missing scattering components and the 30° beveled applicators should be used with attention.
目的:对用于术中放射治疗(IOERT)三维电子剂量计算的专用治疗计划系统(TPS)RADIANCE 4.0.8版中实施的MC算法进行实验和独立蒙特卡洛(MC)评估:采用 MOBETRON 2000(IntraOp Medical Corporation,加利福尼亚州桑尼维尔市)IOERT 加速器。在标称能量为 6、9 和 12 MeV 时,在水模型中测量了直径为 50-90 毫米、斜角为 0°、30° 的五个圆柱形塑料涂抹器的 PDD 和轮廓。在不使用涂抹器的情况下,还对所有能量进行了额外的 PDD 测量。使用 MC 仿真工具包 EGSnrc 的用户代码 BEAMnrc 和 egs_chamber 对 MOBETRON 进行了 MC 建模。在 RADIANCE 和 BEAMnrc 中生成的两个 0° 斜面涂抹器(50 毫米和 80 毫米)和三种能量的相空间文件,被用于确定具有空气和骨骼不均匀性的虚拟水模型的各种设置中的 PDD 和剖面。此外,还计算了拟人组织等效骨盆模型图像数据集的三维剂量分布。图像采集是通过 CT 扫描仪(荷兰飞利浦大孔径 CT)实现的。伽马分析用于量化 RADIANCE 计算与测量和 EGSnrc 计算的偏差。伽马标准归一化为全局最大值,在 2%(2 mm)和 3%(3 mm)之间进行了研究:结果:RADIANCE MC 计算符合 3%, 3 mm 的伽马标准,与水模型测量结果相比,通过率误差限制在 85%,但 30° 斜面涂抹器的剂量曲线除外。在表面剂量、本影区域和 30° 斜面涂抹器的斜面端存在不匹配现象。在异质介质中,与 EGSnrc 计算结果的一致性非常好。当涂抹器直径越大、电子能量越高时,偏差越明显。在人体模型的三维剂量比较中,两种模拟涂抹器的伽马通过率均高于96%:结论:RADIANCE MC算法在3%、3 mm标准范围内与水中模型测量结果以及0°斜面施药器在异质介质中的EGSnrc MC剂量分布相吻合。用户应注意散射成分的缺失,并在使用 30° 斜面涂抹器时加以注意。
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引用次数: 0
Application of NEMA protocols to verify GATE models based on the Digital Biograph Vision and the Biograph Vision Quadra scanners 应用 NEMA 协议验证基于 Digital Biograph Vision 和 Biograph Vision Quadra 扫描仪的 GATE 模型。
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2024.01.005
Miriam Magela Peña-Acosta, Sergio Gallardo, María Lorduy-Alós, Gumersindo Verdú

Purpose

The Monte Carlo method is an effective tool to simulate and verify PET systems. Furthermore, it can help in the design and optimization of new medical imaging devices and algorithms. In this framework, the goal of this work is to verify the GATE toolkit performance when applied to simulate two Siemens Healthineers PET scanners: a standard axial field-of-view Biograph Vision scanner and the new long axial field-of-view Biograph Vision Quadra scanner.

Methods

The simulation toolkit GATE is based on GEANT4, comprising its main functionalities and a set of domain-specific features in the field of medical physics. To accomplish our purpose, the guidelines described in the NEMA NU 2-2018 protocol are reproduced. Then the simulated results are compared to experimental data available in the literature for both PET scanners. The assessment of the models includes different studies of sensitivity, count rate performances, spatial resolution and image quality. These tests are intended to evaluate the image quality of PET devices.

Results

In the spatial resolution test, relative errors lower than 8% are obtained between the experiments and GATE models. The sensitivity is 17.2 cps/kBq (Vision) and 175.9 cps/kBq (Quadra), representing relative differences with the experiment of 6% and 0.3%, respectively. Deviations from peak NECR are less than 9%. In the Image Quality test, the contrast recovery coefficient for hot spheres, with 8 iterations and 5 subsets, ranges between 57–83% for Vision and 54–86% for Quadra. These values represent a maximum deviation between the simulations and the experiments of 10% for the Quadra scanner. In the case of the Vision scanner, the highest difference is observed for the 10 mm sphere (∼38%) due to the higher contrast recovery of the experiment caused by the Gibbs artifact from the use of PSF reconstruction.

Conclusions

The results of the simulations have provided evidence of a good agreement between the experimental data and the results obtained with GATE. Thus, this work supports the capability of this MC toolkit to accurately simulate the models of the Vision and Quadra scanners. This study has laid the basis for further research in this field and has identified several areas that could be explored.
目的:蒙特卡罗方法是模拟和验证 PET 系统的有效工具。此外,它还有助于设计和优化新的医疗成像设备和算法。在此框架下,这项工作的目标是验证 GATE 工具包在模拟两台西门子医疗 PET 扫描仪时的性能:标准轴向视场 Biograph Vision 扫描仪和新型长轴向视场 Biograph Vision Quadra 扫描仪:模拟工具包 GATE 基于 GEANT4,包括其主要功能和一系列医学物理领域的特定功能。为了达到我们的目的,我们复制了 NEMA NU 2-2018 协议中描述的指南。然后将模拟结果与文献中关于这两种 PET 扫描仪的实验数据进行比较。对模型的评估包括对灵敏度、计数率性能、空间分辨率和图像质量的不同研究。这些测试旨在评估 PET 设备的图像质量:在空间分辨率测试中,实验与 GATE 模型之间的相对误差低于 8%。灵敏度为 17.2 cps/kBq(Vision)和 175.9 cps/kBq(Quadra),与实验的相对误差分别为 6% 和 0.3%。与 NECR 峰值的偏差小于 9%。在图像质量测试中,热球的对比度恢复系数在 8 次迭代和 5 个子集之间,Vision 为 57-83%,Quadra 为 54-86%。就 Quadra 扫描仪而言,这些数值代表模拟与实验之间的最大偏差为 10%。在 Vision 扫描仪中,10 毫米球体的差异最大(38%),原因是使用 PSF 重建时产生的 Gibbs 伪影导致实验对比度恢复较高:模拟结果证明,实验数据与使用 GATE 得出的结果非常吻合。因此,这项工作支持 MC 工具包准确模拟 Vision 和 Quadra 扫描仪模型的能力。这项研究为这一领域的进一步研究奠定了基础,并确定了几个可以探索的领域。
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引用次数: 0
Impact of the maximum ring difference on image quality and noise characteristics of a total-body PET/CT scanner 最大环差对全身PET/CT扫描仪的图像质量和噪声特性的影响。
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2023.09.001
Fabian P. Schmidt , Julia G. Mannheim , Pia M. Linder , P. Will , Lena Sophie Kiefer , Maurizio M. Conti , Christian la Fougère , Ivo F. Rausch
The sensitivity of a PET system highly depends on the axial acceptance angle or maximum ring difference (MRD), which can be particularly high for total-body scanners due to their larger axial field of views (aFOVs). This study aims to evaluate the impact on image quality (IQ) and noise performance when MRD85 (18°), the current standard for clinical use, is increased to MRD322 (52°) for the Biograph Vision Quadra (Siemens Healthineers).

Methods

Studies with a cylindrical phantom covering the 106 cm aFOV and an IEC phantom filled with 18F, 68Ga and 89Zr were performed for acquisition times from 60 to 1800 s and activity concentrations from 0.4 to 3 kBq/ml to assess uniformity, contrast recovery coefficients (CRCs) and to characterize noise by coefficient of variation (CV). Spatial resolution was compared for both MRDs by sampling a quadrant of the FOV with a point source. Further IQ, CV, liver SUVmean and SUVmax were compared for a cohort of 5 patients scanned with [18F]FDG (3 MBq/kg, 1 h p.i.) from 30 to 300 s.

Results

CV was improved by a factor of up to 1.49 and is highest for short acquisition times, peaks at the center field of view and mitigates parabolic in axial direction with no difference to MRD85 beyond the central 80 cm. No substantial differences between the two evaluated MRDs in regards to uniformity, SUVmean or CRC for the different isotopes were observed. A degradation of the average spatial resolution of 0.9 ± 0.2 mm in the central 40 cm FOV was determined with MRD322. Depending on the acquisition time MRD322 resulted in a decrease of SUVmax between 23.8% (30 s) and 9.0% (300 s).

Conclusion

Patient and phantom studies revealed that scan time could be lowered by approximately a factor of two with MRD322 while maintaining similar noise performance. The moderate degradation in spatial resolution for MRD322 is worth to exploit the full potential of the Quadra by either shorten scan times or leverage noise performance in particular for low count scenarios such as ultra-late imaging or dynamic studies with high temporal resolution.
PET系统的灵敏度在很大程度上取决于轴向接受角或最大环差(MRD),由于其较大的轴向视场(aFOV),这对于全身扫描仪来说可能特别高。本研究旨在评估当前临床使用标准MRD85(18°)提高到Biograph-Vision Quadra(Siemens Healthineers)的MRD322(52°)时对图像质量(IQ)和噪声性能的影响 cm aFOV和填充18F、68Ga和89Zr的IEC体模的采集时间为60至1800 s和0.4-3的活性浓度 kBq/ml以评估均匀性、对比度恢复系数(CRC)并通过变异系数(CV)表征噪声。通过用点源对FOV的象限进行采样,比较了两种MRD的空间分辨率。进一步比较了5名接受[18F]FDG扫描的患者的IQ、CV、肝脏SUVmean和SUVmax(3 MBq/kg,1 h p.i.)从30到300 结果:CV提高了1.49倍,在短采集时间内最高,在中心视场处达到峰值,并缓解了轴向抛物线,与MRD85在中心80以外没有差异 在不同同位素的均匀性、SUVmean或CRC方面,两个评估的MRD之间没有观察到实质性差异。0.9的平均空间分辨率下降 ± 0.2 中心40毫米 cm FOV用MRD322测定。根据采集时间,MRD322导致SUVmax下降23.8%(30 s) 和9.0%(300 s) 结论:患者和体模研究表明,使用MRD322可以将扫描时间降低约两倍,同时保持类似的噪声性能。MRD322空间分辨率的适度降低值得通过缩短扫描时间或利用噪声性能来充分利用Quadra的潜力,特别是在低计数场景中,如超晚期成像或具有高时间分辨率的动态研究。
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引用次数: 0
Radiation-induced double-strand breaks by internal ex vivo irradiation of lymphocytes: Validation of a Monte Carlo simulation model using GATE and Geant4-DNA 淋巴细胞体内外照射引起的辐射诱导双链断裂:使用GATE和Geant4-DNA的蒙特卡罗模拟模型的验证
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2023.07.007
Maikol Salas-Ramirez , Lydia Maigne , Giovanna Fois , Harry Scherthan , Michael Lassmann , Uta Eberlein
<div><div>This study describes a method to validate a radiation transport model that quantifies the number of DNA double-strand breaks (DSB) produced in the lymphocyte nucleus by internal <em>ex vivo</em> irradiation of whole blood with the radionuclides <sup>90</sup>Y, <sup>99m</sup>Tc, <sup>123</sup>I, <sup>131</sup>I, <sup>177</sup>Lu, <sup>223</sup>Ra, and <sup>225</sup>Ac in a test vial using the GATE/Geant4 code at the macroscopic level and the Geant4-DNA code at the microscopic level.</div></div><div><h3>Methods</h3><div>The simulation at the macroscopic level reproduces an 8 mL cylindrical water-equivalent medium contained in a vial that mimics the geometry for internal <em>ex vivo</em> blood irradiation. The lymphocytes were simulated as spheres of 3.75 µm radius randomly distributed, with a concentration of 125 spheres/mL. A phase-space actor was attached to each sphere to register all the entering particles. The simulation at the microscopic level for each radionuclide was performed using the Geant4-DNA tool kit, which includes the <em>clustering</em> example centered on a density-based spatial clustering of applications with noise (DBSCAN) algorithm. The irradiation source was constructed by generating a single phase space from the sum of all phase spaces. The lymphocyte nucleus was defined as a water sphere of a 3.1 µm radius. The absorbed dose coefficients for lymphocyte nuclei (d<sub>Lymph</sub>) were calculated and compared with macroscopic whole blood absorbed dose coefficients (d<sub>Blood</sub>). The DBSCAN algorithm was used to calculate the number of DSBs. Lastly, the number of DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (simulation) was compared with the number of radiation-induced foci per cell and absorbed dose (RIF∙cell<sup>−1</sup>∙mGy<sup>−1</sup>) provided by experimental data for gamma and beta emitting radionuclides. For alpha emitters, d<sub>Lymph</sub> and the number of α-tracks∙100 cell<sup>−1</sup>∙mGy<sup>−1</sup> and DSBs∙µm<sup>−1</sup> were calculated using experiment-based thresholds for the α-track lengths and DSBs/track values. The results were compared with the results of an <em>ex vivo</em> study with <sup>223</sup>Ra.</div></div><div><h3>Results</h3><div>The d<sub>Lymph</sub> values differed from the d<sub>Blood</sub> values by −1.0% (<sup>90</sup>Y), −5.2% (<sup>99m</sup>Tc), −22.3% (<sup>123</sup>I), 0.35% (<sup>131</sup>I), 2.4% (<sup>177</sup>Lu), −5.6% (<sup>223</sup>Ra) and −6.1% (<sup>225</sup>Ac). The number of DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> for each radionuclide was 0.014 DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (<sup>90</sup>Y), 0.016 DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (<sup>99m</sup>Tc), 0.013<!--> <!-->DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (<sup>123</sup>I), 0.012 DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (<sup>131</sup>I), and 0.012 DSB∙cell<sup>−1</sup>∙mGy<sup>−1</sup> (<sup>177</sup>Lu). These values agree very well with experimental data. The number of α-tracks∙100 cells<sup>−1</sup>
本研究描述了一种验证辐射传输模型的方法,该模型通过在测试瓶中使用GATE/Geant4编码宏观水平和Geant4-DNA编码,用放射性核素90Y、99mTc、123I、131I、177Lu、223Ra和225Ac对全血进行体外照射,量化淋巴细胞核中产生的DNA双链断裂(DSB)的数量。方法在宏观水平模拟8 mL圆柱形水当量介质,模拟体外血液辐照的几何形状。将淋巴细胞模拟成半径为3.75 µm的球体,随机分布,浓度为125 球/mL。在每个球体上附加一个相空间actor来记录所有进入的粒子。使用Geant4-DNA工具包对每种放射性核素进行微观水平的模拟,其中包括以基于密度的空间聚类应用噪声(DBSCAN)算法为中心的聚类示例。辐照源是由所有相空间的和生成一个单相空间构成的。淋巴细胞核定义为3.1 µm半径的水球。计算淋巴细胞核吸收剂量系数(dLymph),并与宏观全血吸收剂量系数(dBlood)进行比较。采用DBSCAN算法计算dsb个数。最后,将DSB∙cell−1∙mGy−1的数量(模拟)与实验数据提供的每个细胞的辐射诱导焦点数量和吸收剂量(RIF∙cell−1∙mGy−1)进行比较。对于α发射器,采用α-径长度和dsb /径值的实验阈值计算dLymph和α-径∙100 cell−1∙mGy−1和dsb∙µm−1的数量。结果与223Ra的离体研究结果进行了比较。结果dLymph值与dBlood值的差异分别为- 1.0% (90Y)、- 5.2% (99mTc)、- 22.3% (123I)、0.35% (131I)、2.4% (177Lu)、- 5.6% (223Ra)和- 6.1% (225Ac)。每种放射性核素的DSB∙cell - 1∙mGy - 1的数量分别为0.014 DSB∙cell - 1∙mGy - 1 (90Y)、0.016 DSB∙cell - 1∙mGy - 1 (99mTc)、0.013 DSB∙cell - 1∙mGy - 1 (123I)、0.012 DSB∙cell - 1∙mGy - 1 (131I)和0.012 DSB∙cell - 1∙mGy - 1 (177Lu)。这些数值与实验数据吻合得很好。223Ra和225Ac的α-tracks∙100 细胞−1∙mGy−1的数量分别为0.144个α-tracks∙100 细胞−1∙mGy−1和0.151个α-tracks∙100 细胞−1∙mGy−1。这些数值与实验数据吻合得很好。在223Ra和225Ac条件下,每微米α-径长DSB的线密度分别为11.13 ± 0.04 DSB/µm和10.86 ± 0.06 DSB/µm。结论本研究建立了一个模拟淋巴细胞核DNA DSB损伤的模型,并通过核医学诊断和治疗过程中常用的放射性核素对体外血液照射的实验数据进行了验证。
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引用次数: 0
MPE training in Germany – Perspectives of the next generation 德国的MPE培训——对下一代的展望。
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2025.07.001
Tim Felgenhauer, Laura Garajová, Jonas Meyer, Andre Karius
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引用次数: 0
Generation, validation, and benchmarking of a commercial independent Monte Carlo calculation beam model for multi-target SRS 多目标SRS的商业独立蒙特卡罗计算光束模型的生成、验证和基准测试
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2023.08.004
Justus Adamson , Brett G. Erickson , Chunhao Wang , Yunfeng Cui , Markus Alber , John Kirkpatrick , Fang-Fang Yin

Background

Dosimetric validation of single isocenter multi-target radiosurgery plans is difficult due to conditions of electronic disequilibrium and the simultaneous irradiation of multiple off-axis lesions dispersed throughout the volume. Here we report the benchmarking of a customizable Monte Carlo secondary dose calculation algorithm specific for multi-target radiosurgery which future users may use to guide their commissioning and clinical implementation.

Purpose

To report the generation, validation, and clinical benchmarking of a volumetric Monte Carlo (MC) dose calculation beam model for single isocenter radiosurgery of intracranial multi-focal disease.

Methods

The beam model was prepared within SciMoCa (ScientificRT, Munich Germany), a commercial independent dose calculation software, with the aim of broad availability via the commercial software for use with single isocenter radiosurgery. The process included (1) definition & acquisition of measurement data required for beam modeling, (2) tuning model parameters to match measurements, (3) validation of the beam model via independent measurements and end-to-end testing, and finally, (4) clinical benchmarking and validation of beam model utility in a patient specific QA setting. We utilized a 6X Flattening-Filter-Free photon beam from a TrueBeam STX linear accelerator (Siemens Healthineers, Munich Germany).

Results

In addition to the measured data required for standard IMRT/VMAT (depth dose, central axis profiles & output factors, leaf gap), beam modeling and validation for single-isocenter SRS required central axis and off axis (5 cm & 9 cm) small field output factors and comparison between measurement and simulation of backscatter with aperture for jaw much greater than MLCs. Validation end-to-end measurements included SRS MapCHECK in StereoPHAN geometry (2%/1 mm Gamma = 99.2% ± 2.2%), and OSL & scintillator measurements in anthropomorphic STEEV phantom (6 targets, volume = 0.1–4.1cc, distance from isocenter = 1.2–7.9 cm) for which mean difference was −1.9% ± 2.2%. For 10 patient cases, MC for individual PTVs was −0.8% ± 1.5%, −1.3% ± 1.7%, and −0.5% ± 1.8% for mean dose, D95%, and D1%, respectively. This corresponded to custom passing rates action limits per AAPM TG-218 guidelines of ±5.2%, ±6.4%, and ±6.3%, respectively.

Conclusions

The beam modeling, validation, and clinical action criteria outlined here serves as a benchmark for future users of the customized beam model within SciMoCa for single isocenter radiosurgery of multi-focal disease.
背景:由于电子不平衡和分散在整个体积内的多个离轴病变同时照射的条件,单个等中心多靶点放射手术计划的剂量学验证是困难的。在这里,我们报告了针对多靶点放射手术的可定制蒙特卡罗二次剂量计算算法的基准测试,未来的用户可以使用该算法来指导他们的调试和临床实施。目的报道颅内多灶性疾病单次等中心放射治疗的体积蒙特卡罗(MC)剂量计算束模型的建立、验证和临床基准。方法使用商业独立剂量计算软件SciMoCa (ScientificRT, Munich Germany)制备光束模型,目的是通过商业软件广泛应用于单等中心放射手术。该过程包括(1)定义和获取光束建模所需的测量数据,(2)调整模型参数以匹配测量结果,(3)通过独立测量和端到端测试验证光束模型,最后,(4)临床基准测试和验证光束模型在患者特定QA设置中的实用性。我们使用了来自TrueBeam STX线性加速器(Siemens Healthineers, Munich Germany)的6倍无平坦滤波光子束。结果除了标准IMRT/VMAT所需的测量数据(深度剂量、中心轴轮廓和输出因子、叶片间隙)外,单等中心SRS的光束建模和验证还需要中心轴和离轴(5 cm和9 cm)小场输出因子以及下颌孔径远大于MLCs的后向散射的测量和模拟比较。验证端到端测量包括SRS MapCHECK StereoPHAN几何(2% / 1 mm伽马 = 99.2% ± 2.2%),和OSL,闪烁体测量拟人化STEEV幻影(6个目标,体积 = 0.1 - -4.1 cc,距离等深点 = 1.2 -7.9 厘米)的平均差 −1.9%± 2.2%。在10例患者中,平均剂量、D95%和D1%中,单个PTVs的MC分别为- 0.8% ± 1.5%、- 1.3% ± 1.7%和- 0.5% ± 1.8%。这与AAPM TG-218指南规定的自定义合格率行动限制分别为±5.2%,±6.4%和±6.3%相对应。结论本文概述的光束建模、验证和临床作用标准为未来使用SciMoCa内的定制光束模型进行多灶性疾病的单中心放射手术提供了基准。
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引用次数: 0
Editorial Board + Consulting Editorial Board 编辑委员会+咨询编辑委员会
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/S0939-3889(25)00095-9
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引用次数: 0
Sensitivity and specificity of Monte Carlo based independent secondary dose computation for detecting modulation-related dose errors in intensity modulated radiotherapy 基于蒙特卡罗的独立二次剂量计算在强度调制放疗中检测调制相关剂量误差的灵敏度和特异性。
IF 4.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-08-01 DOI: 10.1016/j.zemedi.2023.10.001
Matthias Kowatsch , Philipp Szeverinski , Patrick Clemens , Thomas Künzler , Matthias Söhn , Markus Alber

Background

The recent availability of Monte Carlo based independent secondary dose calculation (ISDC) for patient-specific quality assurance (QA) of modulated radiotherapy requires the definition of appropriate, more sensitive action levels, since contemporary recommendations were defined for less accurate ISDC dose algorithms.

Purpose

The objective is to establish an optimum action level and measure the efficacy of a Monte Carlo ISDC software for pre-treatment QA of intensity modulated radiotherapy treatments.

Methods

The treatment planning system and the ISDC were commissioned by their vendors from independent base data sets, replicating a typical real-world scenario. In order to apply Receiver-Operator-Characteristics (ROC), a set of treatment plans for various case classes was created that consisted of 190 clinical treatment plans and 190 manipulated treatment plans with dose errors in the range of 1.5–2.5%. All 380 treatment plans were evaluated with ISDC in the patient geometry. ROC analysis was performed for a number of Gamma (dose-difference/distance-to-agreement) criteria. QA methods were ranked according to Area under the ROC curve (AUC) and optimum action levels were derived via Youden’s J statistics.

Results

Overall, for original treatment plans, the mean Gamma pass rate (GPR) for Gamma(1%, 1 mm) was close to 90%, although with some variation across case classes. The best QA criterion was Gamma(2%, 1 mm) with GPR > 90% and an AUC of 0.928. Gamma criteria with small distance-to-agreement had consistently higher AUC. GPR of original treatment plans depended on their modulation degree. An action level in terms of Gamma(1%, 1 mm) GPR that decreases with modulation degree was the most efficient criterion with sensitivity = 0.91 and specificity = 0.95, compared with Gamma(3%, 3 mm) GPR > 99%, sensitivity = 0.73 and specificity = 0.91 as a commonly used action level.

Conclusions

ISDC with Monte Carlo proves highly efficient to catch errors in the treatment planning process. For a Monte Carlo based TPS, dose-difference criteria of 2% or less, and distance-to-agreement criteria of 1 mm, achieve the largest AUC in ROC analysis.
背景:基于蒙特卡罗的独立二次剂量计算(ISDC)最近可用于调制放疗的患者特异性质量保证(QA),这需要定义适当的、更敏感的作用水平,因为当代的建议是针对不太准确的ISDC剂量算法定义的。目的:目的是建立一个最佳作用水平,并测量蒙特卡罗ISDC软件对调强放疗治疗前QA的疗效。方法:治疗计划系统和ISDC由其供应商从独立的基础数据集中委托,复制典型的真实世界场景。为了应用受试者-操作员特征(ROC),创建了一套适用于各种病例类别的治疗计划,包括190个临床治疗计划和190个剂量误差在1.5-2.5%范围内的操作治疗计划。所有380个治疗计划都在患者几何结构中用ISDC进行了评估。ROC分析是针对许多Gamma(剂量差异/一致性距离)标准进行的。QA方法根据ROC曲线下面积(AUC)进行排名,最佳作用水平通过Youden的J统计得出。结果:总体而言,对于原始治疗计划,Gamma的平均Gamma通过率(GPR)(1%,1 mm)接近90%。最佳质量保证标准为伽玛(2%,1 mm) > 90%,AUC为0.928。一致性距离较小的Gamma标准的AUC始终较高。原始治疗方案的GPR取决于它们的调节程度。γ的作用水平(1%,1 mm)GPR随调制度的减小是具有灵敏度的最有效的标准 = 0.91和特异性 = 0.95,与Gamma(3%,3 mm)探地雷达 > 99%,灵敏度 = 0.73和特异性 = 0.91作为常用的行动水平。结论:Monte Carlo的ISDC在发现治疗计划过程中的错误方面非常有效。对于基于蒙特卡罗的TPS,剂量差异标准为2%或更低,一致性距离标准为1 mm,在ROC分析中获得最大AUC。
{"title":"Sensitivity and specificity of Monte Carlo based independent secondary dose computation for detecting modulation-related dose errors in intensity modulated radiotherapy","authors":"Matthias Kowatsch ,&nbsp;Philipp Szeverinski ,&nbsp;Patrick Clemens ,&nbsp;Thomas Künzler ,&nbsp;Matthias Söhn ,&nbsp;Markus Alber","doi":"10.1016/j.zemedi.2023.10.001","DOIUrl":"10.1016/j.zemedi.2023.10.001","url":null,"abstract":"<div><h3>Background</h3><div>The recent availability of Monte Carlo based independent secondary dose calculation (ISDC) for patient-specific quality assurance (QA) of modulated radiotherapy requires the definition of appropriate, more sensitive action levels, since contemporary recommendations were defined for less accurate ISDC dose algorithms.</div></div><div><h3>Purpose</h3><div>The objective is to establish an optimum action level and measure the efficacy of a Monte Carlo ISDC software for pre-treatment QA of intensity modulated radiotherapy treatments.</div></div><div><h3>Methods</h3><div>The treatment planning system and the ISDC were commissioned by their vendors from independent base data sets, replicating a typical real-world scenario. In order to apply Receiver-Operator-Characteristics (ROC), a set of treatment plans for various case classes was created that consisted of 190 clinical treatment plans and 190 manipulated treatment plans with dose errors in the range of 1.5–2.5%. All 380 treatment plans were evaluated with ISDC in the patient geometry. ROC analysis was performed for a number of Gamma (dose-difference/distance-to-agreement) criteria. QA methods were ranked according to Area under the ROC curve (AUC) and optimum action levels were derived via Youden’s J statistics.</div></div><div><h3>Results</h3><div>Overall, for original treatment plans, the mean Gamma pass rate (GPR) for Gamma(1%, 1 mm) was close to 90%, although with some variation across case classes. The best QA criterion was Gamma(2%, 1 mm) with GPR &gt; 90% and an AUC of 0.928. Gamma criteria with small distance-to-agreement had consistently higher AUC. GPR of original treatment plans depended on their modulation degree. An action level in terms of Gamma(1%, 1 mm) GPR that decreases with modulation degree was the most efficient criterion with sensitivity = 0.91 and specificity = 0.95, compared with Gamma(3%, 3 mm) GPR &gt; 99%, sensitivity = 0.73 and specificity = 0.91 as a commonly used action level.</div></div><div><h3>Conclusions</h3><div>ISDC with Monte Carlo proves highly efficient to catch errors in the treatment planning process. For a Monte Carlo based TPS, dose-difference criteria of 2% or less, and distance-to-agreement criteria of 1 mm, achieve the largest AUC in ROC analysis.</div></div>","PeriodicalId":54397,"journal":{"name":"Zeitschrift fur Medizinische Physik","volume":"35 3","pages":"Pages 259-269"},"PeriodicalIF":4.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantum physics at a historic milestone: How has it shaped medical physics? 历史里程碑上的量子物理学:它是如何影响医学物理学的?
IF 2.4 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-05-01 DOI: 10.1016/j.zemedi.2025.02.002
Michael Bock , Jürgen R. Reichenbach
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引用次数: 0
Impact of log file source and data frequency on accuracy of log file-based patient specific quality assurance 日志文件来源和数据频率对基于日志文件的患者特异性质量保证准确性的影响
IF 2.4 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-05-01 DOI: 10.1016/j.zemedi.2023.05.006
Akbar Azzi , Gerd Heilemann , Dietmar Georg , Supriyanto Ardjo Pawiro , Terry Mart , Wolfgang Lechner
Performing phantom measurements for patient-specific quality assurance (PSQA) adds a significant amount of time to the adaptive radiotherapy procedure. Log file based PSQA can be used to increase the efficiency of this process. This study compared the dosimetric accuracy of high-frequency linear accelerator (Linac) log files and low-frequency log data stored in the oncology information system (OIS). Thirty patients were included, that were recently treated in the head and neck (HN), brain, and prostate region with volumetric modulated arc therapy (VMAT) and an additional ten patients treated using stereotactic body radiation therapy (SBRT) with 3D-conformal radiotherapy (3D-CRT) technique. Log data containing a single fraction were used to calculate the dose distributions. The dosimetric differences between Linac log files and OIS logs were evaluated with a gamma analysis with 2%/2 mm criterion and dose threshold of 30%. The original treatment plan was used as a reference. Moreover, DVH parameters of D98%, D50%, and D2% of the planning-target volume (PTV) and dose to several organs at risk (OARs) were reported. Significant differences in dose distributions between the two log types and the original dose were observed for PTV D98% and D2% (r < 0.001) for HN cases, PTV D98% (r = 0.005) for brain cases, and PTV D50% (r = 0.015) for prostate cases. No significant differences were found between the two log types with respect to D50%. The root mean square (RMS) error of the leaf positions of the OIS log was approximately twice the RMS error of the Linac log file for VMAT plans, but identical for 3D-CRT plans. The relationship between the gamma pass rate and the RMS error showed a moderate correlation for the Linac log files (r = −0.58, p < 0.001) and strong correlation for OIS logs (r = −0.71, p < 0.001). Furthermore, all doses calculated using Linac log files and OIS log data had a GPR >90% for an RMS error < 3.3 mm. Based on these findings, a tolerance limit of RMS error of 3.3 mm for considering OIS log based PSQA was established. Nevertheless, the OIS log data quality should be improved to achieve adequate PSQA.
为患者特异性质量保证(PSQA)进行幻像测量增加了适应性放疗程序的大量时间。可以使用基于日志文件的PSQA来提高此过程的效率。本研究比较了存储在肿瘤信息系统(OIS)中的高频直线加速器(Linac)日志文件和低频日志数据的剂量学准确性。30例患者最近在头颈部(HN),脑和前列腺区域接受了体积调制电弧治疗(VMAT),另外10例患者接受了立体定向体放射治疗(SBRT)和3d适形放疗(3D-CRT)技术。使用含有单一组分的测井数据来计算剂量分布。采用2%/2 mm标准和30%剂量阈值的伽马分析来评估Linac日志文件和OIS日志之间的剂量学差异。参照原治疗方案。此外,还报道了计划靶体积(PTV)的D98%、D50%和D2%的DVH参数,以及对几个危险器官(OARs)的剂量。两种log类型的剂量分布与原始剂量有显著差异:HN病例的PTV D98%和D2% (r <; 0.001),脑病例的PTV D98% (r = 0.005),前列腺病例的PTV D50% (r = 0.015)。两种原木类型在D50%方面无显著差异。OIS日志的叶片位置的均方根误差(RMS)大约是VMAT计划的Linac日志文件的均方根误差的两倍,但与3D-CRT计划相同。gamma通过率与RMS误差之间的关系显示,对于Linac日志文件(r = −0.58,p <; 0.001)具有中等相关性,对于OIS日志文件(r = −0.71,p <; 0.001)具有强相关性。此外,使用Linac日志文件和OIS日志数据计算的所有剂量的GPR为90%,均方根误差为 <; 3.3 mm。基于这些发现,建立了考虑OIS测井的PSQA的RMS误差容限为3.3 mm。尽管如此,OIS测井数据质量仍有待提高,以达到足够的PSQA。
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引用次数: 0
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