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基于锥束计算机断层扫描的模型剂量计算是否适用于近距离放射治疗的自适应治疗计划?

Is model-based dose calculation based on cone-beam computed tomography suitable for adaptive treatment planning in brachytherapy?

作者信息

Karius Andre, Shariff Maya, Schaller Sabrina, Lotter Michael, Strnad Vratislav, Lackner Niklas, Fietkau Rainer, Bert Christoph, Merten Ricarda, Schweizer Claudia

机构信息

Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsstraße 27, 91054, Erlangen, Germany.

Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.

出版信息

Strahlenther Onkol. 2025 Jan;201(1):57-70. doi: 10.1007/s00066-024-02318-3. Epub 2024 Nov 27.

DOI:10.1007/s00066-024-02318-3
PMID:39601857
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11739252/
Abstract

BACKGROUND AND PURPOSE

Model-based dose calculation considering tissue compositions is increasingly being investigated in brachytherapy. The aim of this study was to assess the suitability of modern cone-beam computed tomography (CBCT) imaging compared to conventional computed tomography (CT) scans for this purpose.

MATERIALS AND METHODS

By means of a phantom study, we evaluated the CT numbers and electron densities measured using a modern CBCT device as well as a conventional CT scanner for various materials. Based on this, we compared dose calculations (using the TG-43 formalism as well as model-based collapsed cone calculations assuming uniform materials [ACE] and considering CT numbers [ACE]) on planning CTs and control CBCTs for patients with cervical and breast cancer as well as phantom-simulated skin cancer cases. Assessing dosimetric deviations between the planning CTs and control CBCTs acquired during the treatment course served to estimate interfractional implant variations.

RESULTS

The comparison of ACE-ACE deviations between planning CTs and control CBCTs revealed no statistically significant difference for almost all examined dose parameters. Dosimetric deviations between model-based dose calculations and TG-43 were partly significant but of small magnitude (< 10 cGy per fraction). Interfractional dosimetric variations were substantially larger than the dosimetric differences found between the various dose calculation procedures.

CONCLUSION

Model-based dose calculation based on modern CBCT imaging was suitable. However, the found differences between these calculations and the TG-43 formalism should be investigated in dose-outcome analyses. The observed interfractional dosimetric variations revealed the importance of performing treatment quality assurance.

摘要

背景与目的

在近距离放射治疗中,越来越多地研究考虑组织成分的基于模型的剂量计算。本研究的目的是评估与传统计算机断层扫描(CT)扫描相比,现代锥形束计算机断层扫描(CBCT)成像用于此目的的适用性。

材料与方法

通过体模研究,我们评估了使用现代CBCT设备以及传统CT扫描仪对各种材料测量的CT值和电子密度。基于此,我们比较了宫颈癌、乳腺癌患者以及体模模拟皮肤癌病例在计划CT和对照CBCT上的剂量计算(使用TG-43形式主义以及基于模型的坍缩锥计算,假设材料均匀[ACE]并考虑CT值[ACE])。评估治疗过程中获取的计划CT和对照CBCT之间的剂量偏差,以估计分次间植入物的变化。

结果

计划CT和对照CBCT之间ACE-ACE偏差的比较显示,几乎所有检查的剂量参数在统计学上均无显著差异。基于模型的剂量计算与TG-43之间的剂量偏差部分显著,但幅度较小(每分次<10 cGy)。分次间剂量变化远大于不同剂量计算程序之间的剂量差异。

结论

基于现代CBCT成像的基于模型的剂量计算是合适的。然而,这些计算与TG-43形式主义之间发现的差异应在剂量-结果分析中进行研究。观察到的分次间剂量变化揭示了进行治疗质量保证的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/da42503c3bfe/66_2024_2318_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/e50bad578b88/66_2024_2318_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/006043b2fb7c/66_2024_2318_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/712f84c7c0b6/66_2024_2318_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/312b4bfec36c/66_2024_2318_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/88ab151ca17b/66_2024_2318_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/da42503c3bfe/66_2024_2318_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/e50bad578b88/66_2024_2318_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/006043b2fb7c/66_2024_2318_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/712f84c7c0b6/66_2024_2318_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/312b4bfec36c/66_2024_2318_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/88ab151ca17b/66_2024_2318_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/11739252/da42503c3bfe/66_2024_2318_Fig6_HTML.jpg

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