• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于伪单能量 CT 扫描的双能 CT 在质子治疗计划中的临床应用。

Clinical Implementation of Dual-energy CT for Proton Treatment Planning on Pseudo-monoenergetic CT scans.

机构信息

OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf, Institute of Radiooncology, Dresden, Germany.

German Cancer Research Center, Heidelberg, Germany; National Center for Radiation Research in Oncology, Heidelberg Institute for Radiation Oncology, Heidelberg, Germany.

出版信息

Int J Radiat Oncol Biol Phys. 2017 Feb 1;97(2):427-434. doi: 10.1016/j.ijrobp.2016.10.022. Epub 2016 Oct 21.

DOI:10.1016/j.ijrobp.2016.10.022
PMID:
28068248
Abstract

PURPOSE

To determine whether a standardized clinical application of dual-energy computed tomography (DECT) for proton treatment planning based on pseudomonoenergetic CT scans (MonoCTs) is feasible and increases the precision of proton therapy in comparison with single-energy CT (SECT).

METHODS AND MATERIALS

To define an optimized DECT protocol, CT scan settings were analyzed experimentally concerning beam hardening, image quality, and influence on the heuristic conversion of CT numbers into stopping-power ratios (SPRs) and were compared with SECT scans with identical CT dose. Differences in range prediction and dose distribution between SECT and MonoCT were quantified for phantoms and a patient.

RESULTS

Dose distributions planned on SECT and MonoCT datasets revealed mean range deviations of 0.3 mm, γ passing rates (1%, 1 mm) greater than 99.9%, and no clinically relevant changes in dose-volume histograms. However, image noise and CT-related uncertainties could be reduced by MonoCT compared with SECT, which resulted in a slightly decreased dependence of SPR prediction on beam hardening. Consequently, DECT was clinically implemented at the University Proton Therapy Dresden in 2015. Until October 2016, 150 patients were treated based on MonoCTs, and more than 950 DECT scans of 351 patients were acquired during radiation therapy.

CONCLUSIONS

A standardized clinical use of MonoCT for treatment planning is feasible, leads to improved image quality and SPR prediction, extends diagnostic variety, and enables a stepwise clinical implementation of DECT toward a physics-based, patient-specific, nonheuristic SPR determination. Further reductions of CT-related uncertainties, as expected from such SPR approaches, can be evaluated on the resulting DECT patient database.

摘要

目的

确定基于伪单能量 CT 扫描(MonoCT)的质子治疗计划的双能 CT(DECT)是否可以标准化临床应用,与单能量 CT(SECT)相比是否能提高质子治疗的精度。

方法与材料

为了定义优化的 DECT 方案,我们对 CT 扫描参数进行了实验分析,重点是束硬化、图像质量以及对 CT 数转换为阻止比(SPR)的启发式转换的影响,并与具有相同 CT 剂量的 SECT 扫描进行了比较。对体模和患者分别量化了 SECT 和 MonoCT 之间的射程预测和剂量分布差异。

结果

在 SECT 和 MonoCT 数据集上计划的剂量分布显示平均射程偏差为 0.3 毫米,γ通过率(1%,1 毫米)大于 99.9%,剂量体积直方图无明显变化。然而,与 SECT 相比,MonoCT 可以降低图像噪声和 CT 相关的不确定性,这导致 SPR 预测对束硬化的依赖性略有降低。因此,2015 年德累斯顿质子治疗大学在临床上实施了 DECT。截至 2016 年 10 月,基于 MonoCT 治疗了 150 名患者,在放射治疗期间共获取了 351 名患者的超过 950 次 DECT 扫描。

结论

MonoCT 用于治疗计划的标准化临床应用是可行的,可提高图像质量和 SPR 预测,扩展诊断范围,并为基于物理、患者特异性、非启发式 SPR 确定的 DECT 的逐步临床实施奠定基础。预计此类 SPR 方法将进一步降低 CT 相关的不确定性,这可以在产生的 DECT 患者数据库中进行评估。

相似文献

1
Clinical Implementation of Dual-energy CT for Proton Treatment Planning on Pseudo-monoenergetic CT scans.基于伪单能量 CT 扫描的双能 CT 在质子治疗计划中的临床应用。
Int J Radiat Oncol Biol Phys. 2017 Feb 1;97(2):427-434. doi: 10.1016/j.ijrobp.2016.10.022. Epub 2016 Oct 21.
2
Dosimetric comparison of stopping power calibration with dual-energy CT and single-energy CT in proton therapy treatment planning.质子治疗计划中双能CT与单能CT在阻止本领校准方面的剂量学比较。
Med Phys. 2016 Jun;43(6):2845-2854. doi: 10.1118/1.4948683.
3
Clinical Feasibility of Single-Source Dual-spiral 4D Dual-Energy CT for Proton Treatment Planning Within the Thoracic Region.单源双螺旋 4D 双能 CT 在胸部区域质子治疗计划中的临床可行性。
Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):830-840. doi: 10.1016/j.ijrobp.2018.06.044. Epub 2018 Jul 10.
4
Comparison of proton therapy treatment planning for head tumors with a pencil beam algorithm on dual and single energy CT images.基于铅笔束算法,在双能和单能CT图像上对头颈部肿瘤质子治疗计划的比较。
Med Phys. 2016 Jan;43(1):495. doi: 10.1118/1.4939106.
5
Dual-Energy Computed Tomography to Assess Intra- and Inter-Patient Tissue Variability for Proton Treatment Planning of Patients With Brain Tumor.双能计算机断层扫描评估脑肿瘤质子治疗计划中患者的内-间组织可变性。
Int J Radiat Oncol Biol Phys. 2019 Nov 1;105(3):504-513. doi: 10.1016/j.ijrobp.2019.06.2529. Epub 2019 Jul 2.
6
Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy.用于粒子治疗中基于蒙特卡罗剂量计算的双能CT数据的组织分解
Med Phys. 2014 Jun;41(6):061714. doi: 10.1118/1.4875976.
7
Monte Carlo proton dose calculations using a radiotherapy specific dual-energy CT scanner for tissue segmentation and range assessment.使用放疗专用双能 CT 扫描仪进行组织分割和射程评估的蒙特卡罗质子剂量计算。
Phys Med Biol. 2018 May 29;63(11):115008. doi: 10.1088/1361-6560/aabb60.
8
Learning-based synthetic dual energy CT imaging from single energy CT for stopping power ratio calculation in proton radiation therapy.基于学习的从单能 CT 到合成双能 CT 成像用于质子放射治疗中的阻止本领比计算。
Br J Radiol. 2022 Jan 1;95(1129):20210644. doi: 10.1259/bjr.20210644. Epub 2021 Oct 28.
9
Influence of intravenous contrast agent on dose calculation in proton therapy using dual energy CT.双能 CT 静脉对比剂对质子治疗剂量计算的影响。
Phys Med Biol. 2019 Jun 21;64(12):125024. doi: 10.1088/1361-6560/ab1e9d.
10
Towards subpercentage uncertainty proton stopping-power mapping via dual-energy CT: Direct experimental validation and uncertainty analysis of a statistical iterative image reconstruction method.基于双能 CT 的亚百分之一精度质子阻止本领成像:一种统计迭代图像重建方法的直接实验验证和不确定性分析。
Med Phys. 2022 Mar;49(3):1599-1618. doi: 10.1002/mp.15457. Epub 2022 Jan 27.

引用本文的文献

1
Comparison of two dual-energy CT-based methods for proton stopping-power ratio estimation in brain cancer patients with metal implants.基于双能CT的两种方法在有金属植入物的脑癌患者中估算质子阻止本领比的比较。
Acta Oncol. 2025 Sep 4;64:1168-1175. doi: 10.2340/1651-226X.2025.43930.
2
Exploring hypoxia in head and neck cancer through blood perfusion and metabolism using dual-energy computed tomography and positron emission tomography.利用双能计算机断层扫描和正电子发射断层扫描通过血液灌注和代谢探索头颈癌中的缺氧情况。
Phys Imaging Radiat Oncol. 2025 Aug 7;35:100824. doi: 10.1016/j.phro.2025.100824. eCollection 2025 Jul.
3
Questionnaire Survey of Dual-energy Computed Tomography Utilization in Clinical Practice in Japan.
日本临床实践中双能计算机断层扫描应用情况的问卷调查
In Vivo. 2025 Jul-Aug;39(4):2377-2386. doi: 10.21873/invivo.14036.
4
Partial adaptation for online-adaptive proton therapy triggered by during-delivery treatment verification: Feasibility study on prostate cancer treatments.由治疗过程中验证触发的在线自适应质子治疗的部分适应性:前列腺癌治疗的可行性研究
Phys Imaging Radiat Oncol. 2025 Mar 21;34:100755. doi: 10.1016/j.phro.2025.100755. eCollection 2025 Apr.
5
Benefit of range uncertainty reduction in robust optimisation for proton therapy of brain, head-and-neck and breast cancer patients.减少范围不确定性在脑癌、头颈癌和乳腺癌患者质子治疗稳健优化中的益处。
Phys Imaging Radiat Oncol. 2024 Aug 21;31:100632. doi: 10.1016/j.phro.2024.100632. eCollection 2024 Jul.
6
Validation of dual-energy CT-based composition analysis using fresh animal tissues and composition-optimized tissue equivalent samples.采用新鲜动物组织和成分优化的组织等效样本对基于双能 CT 的成分分析进行验证。
Phys Med Biol. 2024 Aug 12;69(16):165033. doi: 10.1088/1361-6560/ad68bc.
7
MRI-only based material mass density and relative stopping power estimation via deep learning for proton therapy: a preliminary study.基于 MRI 的质子治疗物质质量密度和相对阻止本领的深度学习估算:初步研究。
Sci Rep. 2024 May 15;14(1):11166. doi: 10.1038/s41598-024-61869-8.
8
Enhancement of Stopping Power Ratio (SPR) Estimation Accuracy through Image-Domain Dual-Energy Computer Tomography for Pencil Beam Scanning System: A Simulation Study.通过图像域双能计算机断层扫描提高笔形束扫描系统的阻止本领比(SPR)估计精度:一项模拟研究。
Cancers (Basel). 2024 Jan 22;16(2):467. doi: 10.3390/cancers16020467.
9
Single energy CT-based mass density and relative stopping power estimation for proton therapy using deep learning method.基于单能CT的深度学习方法用于质子治疗的质量密度和相对阻止本领估计
Front Oncol. 2023 Nov 23;13:1278180. doi: 10.3389/fonc.2023.1278180. eCollection 2023.
10
Proton SBRT is ready to move past uncertainties and towards improved clinical outcomes.质子立体定向放射治疗已准备好跨越不确定性,朝着改善临床结果迈进。
J Radiosurg SBRT. 2023;9(1):3-6.