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独立蒙特卡罗剂量计算确定了单靶点多靶区立体定向放射外科中最有可能在治疗前测量中失败的目标。

Independent Monte Carlo dose calculation identifies single isocenter multi-target radiosurgery targets most likely to fail pre-treatment measurement.

机构信息

Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.

Scientific RT, Munich, Germany.

出版信息

J Appl Clin Med Phys. 2024 Jun;25(6):e14290. doi: 10.1002/acm2.14290. Epub 2024 Jan 30.

DOI:10.1002/acm2.14290
PMID:38289874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11163499/
Abstract

PURPOSE

For individual targets of single isocenter multi-target (SIMT) Stereotactic radiosurgery (SRS), we assess dose difference between the treatment planning system (TPS) and independent Monte Carlo (MC), and demonstrate persistence into the pre-treatment Quality Assurance (QA) measurement.

METHODS

Treatment plans from 31 SIMT SRS patients were recalculated in a series of scenarios designed to investigate sources of discrepancy between TPS and independent MC. Targets with > 5% discrepancy in DMean[Gy] after progressing through all scenarios were measured with SRS MapCHECK. A matched pair analysis was performed comparing SRS MapCHECK results for these targets with matched targets having similar characteristics (volume & distance from isocenter) but no such MC dose discrepancy.

RESULTS

Of 217 targets analyzed, individual target mean dose (DMean[Gy]) fell outside a 5% threshold for 28 and 24 targets before and after removing tissue heterogeneity effects, respectively, while only 5 exceeded the threshold after removing effect of patient geometry (via calculation on StereoPHAN geometry). Significant factors affecting agreement between the TPS and MC included target distance from isocenter (0.83% decrease in DMean[Gy] per 2 cm), volume (0.15% increase per cc), and degree of plan modulation (0.37% increase per 0.01 increase in modulation complexity score). SRS MapCHECK measurement had better agreement with MC than with TPS (2%/1 mm / 10% threshold gamma pass rate (GPR) = 99.4 ± 1.9% vs. 93.1 ± 13.9%, respectively). In the matched pair analysis, targets exceeding 5% for MC versus TPS also had larger discrepancies between TPS and measurement with no GPR (2%/1 mm / 10% threshold) exceeding 90% (71.5% ± 16.1%); whereas GPR was high for matched targets with no such MC versus TPS difference (96.5% ± 3.3%, p = 0.01).

CONCLUSIONS

Independent MC complements pre-treatment QA measurement for SIMT SRS by identifying problematic individual targets prior to pre-treatment measurement, thus enabling plan modifications earlier in the planning process and guiding selection of targets for pre-treatment QA measurement.

摘要

目的

对于单等中心多靶(SIMT)立体定向放射外科(SRS)的单个目标,我们评估了治疗计划系统(TPS)和独立蒙特卡罗(MC)之间的剂量差异,并证明其在治疗前质量保证(QA)测量中仍然存在。

方法

对 31 例 SIMT SRS 患者的治疗计划进行了一系列方案的重新计算,旨在调查 TPS 和独立 MC 之间差异的来源。在所有方案后,对 DMean[Gy]差异>5%的靶区用 SRS MapCHECK 进行测量。对这些靶区与具有相似特征(体积和距等中心的距离)但无 MC 剂量差异的匹配靶区进行 SRS MapCHECK 结果的配对分析。

结果

在分析的 217 个靶区中,在去除组织异质性效应之前和之后,分别有 28 个和 24 个靶区的个体靶区平均剂量(DMean[Gy])超过 5%的阈值,而在去除患者几何形状的影响(通过 StereoPHAN 几何形状计算)后,仅有 5 个靶区超过阈值。影响 TPS 和 MC 之间一致性的显著因素包括靶区距等中心的距离(DMean[Gy]每 2cm 降低 0.83%)、体积(每 cc 增加 0.15%)和计划调制程度(调制复杂性评分每增加 0.01,增加 0.37%)。SRS MapCHECK 测量与 MC 的一致性优于 TPS(2%/1mm/10%阈值伽马通过率(GPR)=99.4±1.9%对 93.1±13.9%,分别)。在配对分析中,与 TPS 相比,MC 超过 5%的靶区与 TPS 测量值之间的差异也更大,没有 GPR(2%/1mm/10%阈值)超过 90%(71.5%±16.1%);而对于 MC 与 TPS 无差异的匹配靶区,GPR 较高(96.5%±3.3%,p=0.01)。

结论

独立 MC 通过在治疗前测量之前识别有问题的单个靶区,补充了 SIMT SRS 的治疗前 QA 测量,从而能够更早地在计划过程中修改计划,并指导治疗前 QA 测量靶区的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/bdbd96e47e1f/ACM2-25-e14290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/2ff7ba2ceb2a/ACM2-25-e14290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/4020dcf0563c/ACM2-25-e14290-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/7317fc8ac009/ACM2-25-e14290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/c70ce7ef0034/ACM2-25-e14290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/0936d803ab41/ACM2-25-e14290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/bdbd96e47e1f/ACM2-25-e14290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/2ff7ba2ceb2a/ACM2-25-e14290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/4020dcf0563c/ACM2-25-e14290-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/7317fc8ac009/ACM2-25-e14290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/c70ce7ef0034/ACM2-25-e14290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/0936d803ab41/ACM2-25-e14290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6d8/11163499/bdbd96e47e1f/ACM2-25-e14290-g005.jpg

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