• 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

一种用于评估放射治疗中剂量累积的变形矢量场的不确定性度量。

An uncertainty metric to evaluate deformation vector fields for dose accumulation in radiotherapy.

作者信息

Takemura Akihiro, Nagano Akira, Kojima Hironori, Ikeda Tomohiro, Yokoyama Noriomi, Tsukamoto Kosuke, Noto Kimiya, Isomura Naoki, Ueda Shinichi, Kawashima Hiroki

机构信息

Faculty of Health Sciences, Institution of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.

Division of Radiology, Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama 700-8558, Japan.

出版信息

Phys Imaging Radiat Oncol. 2018 May 31;6:77-82. doi: 10.1016/j.phro.2018.05.005. eCollection 2018 Apr.

DOI:10.1016/j.phro.2018.05.005
PMID:33458393
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7807581/
Abstract

BACKGROUND AND PURPOSE

In adaptive radiotherapy, deformable image registration (DIR) is used to propagate delineations of tumors and organs into a new therapy plan and to calculate the accumulated total dose. Many DIR accuracy metrics have been proposed. An alternative proposed here could be a local uncertainty (LU) metric for DIR results.

MATERIALS AND METHODS

The LU represented the uncertainty of each DIR position and was focused on deformation evaluation in uniformly-dense regions. Four cases demonstrated LU calculations: two head and neck cancer cases, a lung cancer case, and a prostate cancer case. Each underwent two CT examinations for radiotherapy planning.

RESULTS

LU maps were calculated from each DIR of the clinical cases. Reduced fat regions had LUs of 4.6 ± 0.9 mm, 4.8 ± 1.0 mm, and 4.5 ± 0.7 mm, while the shrunken left parotid gland had a LU of 4.1 ± 0.8 mm and the shrunken lung tumor had a LU of 3.7 ± 0.7 mm. The bowels in the pelvic region had a LU of 10.2 ± 3.7 mm. LU histograms for the cases were similar and 99% of the voxels had a LU < 3 mm.

CONCLUSIONS

LU is a new uncertainty metric for DIR that was demonstrated for clinical cases. It had a tolerance of <3 mm.

摘要

背景与目的

在自适应放射治疗中,可变形图像配准(DIR)用于将肿瘤和器官的轮廓传播到新的治疗计划中,并计算累积总剂量。已经提出了许多DIR准确性指标。这里提出的一种替代方法可能是用于DIR结果的局部不确定性(LU)指标。

材料与方法

LU表示每个DIR位置的不确定性,并且专注于均匀密度区域中的变形评估。四个病例展示了LU计算:两个头颈癌病例、一个肺癌病例和一个前列腺癌病例。每个病例都接受了两次用于放射治疗计划的CT检查。

结果

从临床病例的每个DIR计算出LU图。脂肪减少区域的LU分别为4.6±0.9毫米、4.8±1.0毫米和4.5±0.7毫米,而萎缩的左腮腺的LU为4.1±0.8毫米,萎缩的肺肿瘤的LU为3.7±0.7毫米。盆腔区域的肠道的LU为10.2±3.7毫米。这些病例的LU直方图相似,99%的体素的LU<3毫米。

结论

LU是一种用于DIR的新的不确定性指标,已在临床病例中得到验证。它的容差<3毫米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/11f305fc31b7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/3fa9b3ea9b56/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/5ba26dc2bd4c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/473255a06bb3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/c513a99f33f6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/11f305fc31b7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/3fa9b3ea9b56/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/5ba26dc2bd4c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/473255a06bb3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/c513a99f33f6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a56b/7807581/11f305fc31b7/gr5.jpg

相似文献

1
An uncertainty metric to evaluate deformation vector fields for dose accumulation in radiotherapy.一种用于评估放射治疗中剂量累积的变形矢量场的不确定性度量。
Phys Imaging Radiat Oncol. 2018 May 31;6:77-82. doi: 10.1016/j.phro.2018.05.005. eCollection 2018 Apr.
2
Quantifying the dose accumulation uncertainty after deformable image registration in head-and-neck radiotherapy.量化头颈部放疗中形变图像配准后的剂量累积不确定性。
Radiother Oncol. 2020 Feb;143:117-125. doi: 10.1016/j.radonc.2019.12.009. Epub 2020 Feb 14.
3
The distance discordance metric-a novel approach to quantifying spatial uncertainties in intra- and inter-patient deformable image registration.距离不一致度量——一种量化患者内和患者间可变形图像配准中空间不确定性的新方法。
Phys Med Biol. 2014 Feb 7;59(3):733-46. doi: 10.1088/0031-9155/59/3/733. Epub 2014 Jan 20.
4
Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.迈向头颈部患者的自适应放射治疗:由于可变形配准算法的选择导致剂量扭曲的不确定性。
Med Phys. 2015 Feb;42(2):760-9. doi: 10.1118/1.4905050.
5
A novel concept to include uncertainties in the evaluation of stereotactic body radiation therapy after 4D dose accumulation using deformable image registration.一种新的概念,即在使用变形图像配准进行 4D 剂量累加后,将不确定性纳入立体定向体放射治疗的评估中。
Med Phys. 2019 Oct;46(10):4346-4355. doi: 10.1002/mp.13759. Epub 2019 Sep 6.
6
Deformable image registration and interobserver variation in contour propagation for radiation therapy planning.用于放射治疗计划的可变形图像配准和轮廓传播中的观察者间变异性。
J Appl Clin Med Phys. 2016 May 8;17(3):347-357. doi: 10.1120/jacmp.v17i3.6110.
7
Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy.自适应头颈部放疗中用于CT与锥形束CT图像间轮廓传播的十种可变形图像配准算法的综合评估
PLoS One. 2017 Apr 17;12(4):e0175906. doi: 10.1371/journal.pone.0175906. eCollection 2017.
8
A quantitative evaluation of deformable image registration based on MV cone beam CT images: Impact of deformation magnitudes and image modalities.基于 MV 锥形束 CT 图像的形变图像配准的定量评估:形变幅度和成像方式的影响。
Phys Med. 2020 Mar;71:82-87. doi: 10.1016/j.ejmp.2020.02.016. Epub 2020 Feb 22.
9
[Improvement Prediction on Contour Deformation Accuracy Using Deformable Image Registration Results Compared to Rigid Image Registration Results].[与刚性图像配准结果相比,使用可变形图像配准结果对轮廓变形精度的改进预测]
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2020;76(7):665-673. doi: 10.6009/jjrt.2020_JSRT_76.7.665.
10
Technical Note: The impact of deformable image registration methods on dose warping.技术说明:形变图像配准方法对剂量弯曲的影响。
Med Phys. 2018 Mar;45(3):1287-1294. doi: 10.1002/mp.12741. Epub 2018 Jan 20.

引用本文的文献

1
Review and recommendations on deformable image registration uncertainties for radiotherapy applications.放疗应用中形变图像配准不确定性的回顾与建议。
Phys Med Biol. 2023 Dec 13;68(24):24TR01. doi: 10.1088/1361-6560/ad0d8a.
2
Accuracy of patient setup positioning using surface-guided radiotherapy with deformable registration in cases of surface deformation.表面引导放射治疗中应用变形配准技术在表面变形情况下对患者摆位准确性的评估。
J Appl Clin Med Phys. 2022 Mar;23(3):e13493. doi: 10.1002/acm2.13493. Epub 2022 Jan 25.
3
Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology.

本文引用的文献

1
An adaptive motion regularization technique to support sliding motion in deformable image registration.一种自适应运动正则化技术,用于支持变形图像配准中的滑动运动。
Med Phys. 2018 Feb;45(2):735-747. doi: 10.1002/mp.12734. Epub 2018 Jan 12.
2
Cone-beam CT-based adaptive planning improves permanent prostate brachytherapy dosimetry: An analysis of 1266 patients.基于锥形束CT的自适应计划改善永久性前列腺近距离放射治疗剂量测定:1266例患者的分析
Med Phys. 2017 Apr;44(4):1257-1267. doi: 10.1002/mp.12156. Epub 2017 Mar 22.
3
Impact of dose escalation and adaptive radiotherapy for cervical cancers on tumour shrinkage-a modelling study.
自适应放射治疗(ART)策略与技术考量:来自NRG肿瘤学的ART综述现状
Int J Radiat Oncol Biol Phys. 2021 Mar 15;109(4):1054-1075. doi: 10.1016/j.ijrobp.2020.10.021. Epub 2020 Oct 24.
剂量递增和适应性放疗对宫颈癌肿瘤缩小的影响——一项建模研究
Phys Med Biol. 2017 Mar 21;62(6):N107-N119. doi: 10.1088/1361-6560/aa5de2. Epub 2017 Feb 2.
4
Late-Course Adaptive Adjustment Based on Metabolic Tumor Volume Changes during Radiotherapy May Reduce Radiation Toxicity in Patients with Non-Small Cell Lung Cancer.基于放疗期间代谢肿瘤体积变化的疗程后期适应性调整可能降低非小细胞肺癌患者的放射毒性。
PLoS One. 2017 Jan 26;12(1):e0170901. doi: 10.1371/journal.pone.0170901. eCollection 2017.
5
Generation of synthetic CT data using patient specific daily MR image data and image registration.使用患者特定的每日磁共振图像数据和图像配准生成合成CT数据。
Phys Med Biol. 2017 Feb 21;62(4):1358-1377. doi: 10.1088/1361-6560/aa5200. Epub 2017 Jan 23.
6
Accuracy of software-assisted contour propagation from planning CT to cone beam CT in head and neck radiotherapy.头颈部放疗中从计划CT到锥形束CT的软件辅助轮廓传播的准确性。
Acta Oncol. 2016 Nov;55(11):1324-1330. doi: 10.1080/0284186X.2016.1185149. Epub 2016 Aug 24.
7
Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images.市售胸部图像可变形图像配准软件的多机构验证研究
Int J Radiat Oncol Biol Phys. 2016 Oct 1;96(2):422-431. doi: 10.1016/j.ijrobp.2016.05.012. Epub 2016 May 19.
8
First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer.首次临床研究:锥形束计算机断层扫描和形变配准在肺癌自适应质子治疗中的应用。
Int J Radiat Oncol Biol Phys. 2016 May 1;95(1):549-559. doi: 10.1016/j.ijrobp.2016.01.055. Epub 2016 Feb 4.
9
Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.迈向头颈部患者的自适应放射治疗:由于可变形配准算法的选择导致剂量扭曲的不确定性。
Med Phys. 2015 Feb;42(2):760-9. doi: 10.1118/1.4905050.
10
Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia.头颈部癌适应性放疗对保留腮腺及降低口干风险的影响。
Radiat Oncol. 2015 Jan 9;10:6. doi: 10.1186/s13014-014-0318-z.