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研究基于 4DMRI 的虚拟 4DCT 在腹部肿瘤门控碳离子放疗中的应用。

Investigating the use of virtual 4DCT from 4DMRI in gated carbon ion radiation therapy of abdominal tumors.

机构信息

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano 20133, Italy.

Centro Nazionale di Adroterapia Oncologica, Pavia 27100, Italy.

出版信息

Z Med Phys. 2022 Feb;32(1):98-108. doi: 10.1016/j.zemedi.2020.08.005. Epub 2020 Oct 14.

DOI:10.1016/j.zemedi.2020.08.005
PMID:33069586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9948849/
Abstract

PURPOSE

To generate virtual 4DCT from 4DMRI with field of view (FOV) extended to the entire involved patient anatomy, in order to evaluate its use in carbon ion radiation therapy (CIRT) of the abdominal site in a clinical scenario.

MATERIALS AND METHODS

The virtual 4DCT was generated by deforming a reference CT in order to (1) match the anatomy depicted in the 4DMRI within its FOV, by calculating deformation fields with deformable image registration to describe inter-fractional and breathing motion, and (2) obtain physically plausible deformation outside of the 4DMRI FOV, by propagating and modulating the previously obtained deformation fields. The implemented method was validated on a digital anthropomorphic phantom, for which a ground truth (GT) 4DCT was available. A CIRT treatment plan was optimized at the end-exhale reference CT and the RBE-weighted dose distribution was recalculated on both the virtual and GT 4DCTs. The method estimation error was quantified by comparing the virtual and GT 4DCTs and the corresponding recomputed doses. The method was then evaluated on 8 patients with pancreas or liver tumors treated with CIRT using respiratory gating at end-exhale. The clinical treatment plans adopted at the National Center for Oncological Hadrontherapy (CNAO, Pavia, Italy) were considered and the dose distribution was recomputed on all respiratory phases of the planning and virtual 4DCTs. By comparing the two datasets and the corresponding dose distributions, the geometrical and dosimetric impact of organ motion was assessed.

RESULTS

For the phantom, the error outside of the 4DMRI FOV was up to 4.5mm, but it remained sub-millimetric in correspondence to the target within the 4DMRI FOV. Although the impact of motion on the target D resulted in variations ranging from 22% to 90% between the planned dose and the doses recomputed on the GT 4DCT phases, the corresponding estimation error was ≤2.2%. In the patient cases, the variation of the baseline tumor position between the planning and the virtual end-exhale CTs presented a median (interquartile range) value of 6.0 (4.9) mm. For baseline variations larger than 5mm, the tumor D variation between the plan and the dose recomputed on the end-exhale virtual CT resulted larger than 10%. Median variations higher than 10% in the target D and gastro-intestinal OARs D were quantified at the end-inhale, whereas close to the end-exhale phase, limited variations of relevant dose metrics were found for both tumor and OARs.

CONCLUSIONS

The negligible impact of the geometrical inaccuracy in the estimated anatomy outside of the 4DMRI FOV on the overall dosimetric accuracy suggests the feasibility of virtual 4DCT with extended FOV in CIRT of the abdominal site. In the analyzed patient group, inter-fractional variations such as baseline variation and breathing variability were quantified, demonstrating the method capability to support treatment planning in gated CIRT of the abdominal site.

摘要

目的

通过将视场(FOV)扩展到整个受累患者解剖范围,从 4DMRI 生成虚拟 4DCT,以便在临床情况下评估其在腹部碳离子放射治疗(CIRT)中的应用。

材料与方法

通过变形参考 CT 生成虚拟 4DCT,以(1)在其 FOV 内匹配 4DMRI 中描绘的解剖结构,通过计算变形场以描述分次间和呼吸运动的变形,以及(2)通过传播和调制先前获得的变形场来获得在 4DMRI FOV 之外的物理上合理的变形。该方法在数字人体模型体模上进行了验证,该体模具有可用的地面实况(GT)4DCT。在呼气末参考 CT 上优化了 CIRT 治疗计划,并在虚拟和 GT 4DCT 上重新计算了 RBE 加权剂量分布。通过比较虚拟和 GT 4DCT 及其相应的重新计算剂量来量化方法估计误差。然后,使用在呼气末进行呼吸门控的胰腺或肝脏肿瘤 8 例患者对该方法进行了评估。考虑了意大利国家肿瘤强子治疗中心(CNAO,帕维亚)采用的临床治疗计划,并在计划和虚拟 4DCT 的所有呼吸阶段重新计算了剂量分布。通过比较这两个数据集及其相应的剂量分布,评估了器官运动的几何和剂量学影响。

结果

对于体模,FOV 外的误差高达 4.5mm,但在 4DMRI FOV 内的目标处仍保持亚毫米级。尽管目标 D 上的运动对计划剂量的影响导致 GT 4DCT 各相位计划剂量与重新计算剂量之间的变化范围为 22%至 90%,但相应的估计误差≤2.2%。在患者病例中,计划与虚拟呼气末 CT 之间基线肿瘤位置的变化中位数(四分位距)值为 6.0(4.9)mm。对于大于 5mm 的基线变化,如果计划与在呼气末虚拟 CT 上重新计算的剂量之间的肿瘤 D 变化大于 10%,则肿瘤 D 的变化较大。在吸气末,目标 D 和胃肠道 OARs D 的中位数变化大于 10%,而在接近呼气末阶段时,肿瘤和 OARs 的相关剂量指标的变化有限。

结论

在 4DMRI FOV 外估计解剖结构的几何精度对整体剂量学准确性的影响可以忽略不计,这表明在腹部 CIRT 中使用扩展 FOV 的虚拟 4DCT 是可行的。在分析的患者组中,量化了分次间变化,如基线变化和呼吸变异性,表明该方法能够支持腹部 gated CIRT 的治疗计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/0c68d4d8d77f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/250760800289/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/ca2fb6dd3c97/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/0c68d4d8d77f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/250760800289/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/ca2fb6dd3c97/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5572/9948849/0c68d4d8d77f/gr6.jpg

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2
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Cancers (Basel). 2020 Jan 9;12(1):163. doi: 10.3390/cancers12010163.
3
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4
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5
An MRI framework for respiratory motion modelling validation.用于呼吸运动建模验证的 MRI 框架。
J Med Imaging Radiat Oncol. 2021 Jun;65(3):337-344. doi: 10.1111/1754-9485.13175. Epub 2021 Mar 26.
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5
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