• 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

基于知识的计划模型定制,以在胰腺癌容积调强弧形治疗中实现理想的剂量分布。

Customization of a Model For Knowledge-Based Planning to Achieve Ideal Dose Distributions in Volume Modulated arc Therapy for Pancreatic Cancers.

作者信息

Nitta Yuya, Ueda Yoshihiro, Isono Masaru, Ohira Shingo, Masaoka Akira, Karino Tsukasa, Inui Shoki, Miyazaki Masayoshi, Teshima Teruki

机构信息

Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan.

Department of Radiology, Osaka Women's and Children's Hospital, Osaka, Japan.

出版信息

J Med Phys. 2021 Apr-Jun;46(2):66-72. doi: 10.4103/jmp.JMP_76_20. Epub 2021 Aug 7.

DOI:10.4103/jmp.JMP_76_20
PMID:34566285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8415244/
Abstract

PURPOSE

To evaluate customizing a knowledge-based planning (KBP) model using dosimetric analysis for volumetric modulated arc therapy for pancreatic cancer.

MATERIALS AND METHODS

The first model (M1) using 56 plans and the second model (M2) using 31 plans were created in the first 7 months of the study. The ratios of volume of both kidneys overlapping the expanded planning target volume to the total volume of both kidneys (V/V) were calculated in all cases to customize M1. Regression lines were derived from V/V and mean dose to both kidneys. The third model (M3) was created using 30 plans which data put them below the regression line. For validation, KBP was performed with the three models on 21 patients.

RESULTS

V of the left kidney for M1 plans was 7.3% greater than for clinical plans. Dmean of the left kidney for M2 plans was 2.2% greater than for clinical plans. There was no significant difference between all kidney doses in M3 and clinical plans. Dmean of the left kidney for M2 plans was 2.2% greater than for clinical plans. Dmean to both kidneys did not differ significantly between the three models in validation plans with V/V lower than average. In plans with larger than average volumes, the Dmean of validation plans created by M3 was significantly lower for both kidneys by 1.7 and 0.9 Gy than with M1 and M2, respectively.

CONCLUSIONS

Selecting plans to register in a model by analyzing dosimetry and geometry is an effective means of improving the KBP model.

摘要

目的

评估使用剂量学分析定制基于知识的计划(KBP)模型,用于胰腺癌的容积调强弧形放疗。

材料与方法

在研究的前7个月创建了第一个使用56个计划的模型(M1)和第二个使用31个计划的模型(M2)。在所有病例中计算双侧肾脏与扩大的计划靶体积重叠的体积与双侧肾脏总体积的比值(V/V),以定制M1。从V/V和双侧肾脏的平均剂量得出回归线。第三个模型(M3)使用30个数据位于回归线以下的计划创建。为进行验证,对21例患者使用这三个模型进行KBP。

结果

M1计划中左肾的V比临床计划大7.3%。M2计划中左肾Dmean比临床计划大2.2%。M3和临床计划中所有肾脏剂量之间无显著差异。M2计划中左肾Dmean比临床计划大2.2%。在V/V低于平均值的验证计划中,三个模型之间双侧肾脏的Dmean无显著差异。在体积大于平均值的计划中,M3创建的验证计划的双侧肾脏Dmean分别比M1和M2显著低1.7 Gy和 0.9 Gy。

结论

通过分析剂量学和几何学来选择纳入模型的计划是改进KBP模型的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/129da173d30b/JMP-46-66-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/32d0308d60c8/JMP-46-66-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/f1c340e5ca6d/JMP-46-66-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/4bed80a5d747/JMP-46-66-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/129da173d30b/JMP-46-66-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/32d0308d60c8/JMP-46-66-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/f1c340e5ca6d/JMP-46-66-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/4bed80a5d747/JMP-46-66-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1559/8415244/129da173d30b/JMP-46-66-g004.jpg

相似文献

1
Customization of a Model For Knowledge-Based Planning to Achieve Ideal Dose Distributions in Volume Modulated arc Therapy for Pancreatic Cancers.基于知识的计划模型定制,以在胰腺癌容积调强弧形治疗中实现理想的剂量分布。
J Med Phys. 2021 Apr-Jun;46(2):66-72. doi: 10.4103/jmp.JMP_76_20. Epub 2021 Aug 7.
2
Characterization of knowledge-based volumetric modulated arc therapy plans created by three different institutions' models for prostate cancer.由三个不同机构的模型创建的基于知识的容积调强弧形放疗计划用于前列腺癌的特征描述。
Rep Pract Oncol Radiother. 2020 Nov-Dec;25(6):1023-1028. doi: 10.1016/j.rpor.2020.08.011. Epub 2020 Aug 25.
3
Evaluation of multiple institutions' models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer.多机构基于知识的前列腺癌容积调强弧形治疗(VMAT)计划模型评估。
Radiat Oncol. 2018 Mar 20;13(1):46. doi: 10.1186/s13014-018-0994-1.
4
Treatment planning comparison of volumetric modulated arc therapy with the trilogy and the Halcyon for bilateral breast cancer.容积旋转调强弧形治疗与 Trilogy 和 Halcyon 系统在双侧乳腺癌中的治疗计划比较。
Radiat Oncol. 2021 Feb 18;16(1):35. doi: 10.1186/s13014-021-01763-z.
5
Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer.基于知识的宫颈癌容积调强弧形治疗计划中高度精细化预测模型的评估。
Radiat Oncol. 2021 Mar 22;16(1):58. doi: 10.1186/s13014-021-01783-9.
6
Dose-escalated volumetric modulated arc therapy for total marrow irradiation: A feasibility dosimetric study with 4DCT planning and simultaneous integrated boost.调强适形容积旋转放射治疗全骨髓照射:4DCT 计划和同期加量的可行性剂量学研究。
Phys Med. 2020 Oct;78:123-128. doi: 10.1016/j.ejmp.2020.09.013. Epub 2020 Sep 28.
7
Dose-volume Histogram Analysis of Knowledge-based Volumetric-modulated Arc Therapy Planning in Postoperative Breast Cancer Irradiation.基于知识的容积调强弧形治疗计划在乳腺癌术后放疗中的剂量-体积直方图分析。
In Vivo. 2020 May-Jun;34(3):1095-1101. doi: 10.21873/invivo.11880.
8
Impact of database quality in knowledge-based treatment planning for prostate cancer.基于数据库质量对前列腺癌知识治疗计划的影响。
Pract Radiat Oncol. 2018 Nov-Dec;8(6):437-444. doi: 10.1016/j.prro.2018.03.004. Epub 2018 Mar 13.
9
A dosimetric comparison of double-arc volumetric arc therapy, step-shoot intensity modulated radiotherapy and 3D-CRT for left-sided breast cancer radiotherapy after breast-conserving surgery.保乳手术后左侧乳腺癌放疗中双弧容积弧形调强放疗、静态调强放疗和三维适形放疗的剂量学比较
Technol Health Care. 2017 Oct 23;25(5):851-858. doi: 10.3233/THC-160746.
10
Whole abdominopelvic radiotherapy (WAPRT) using intensity-modulated arc therapy (IMAT): first clinical experience.使用调强弧形治疗(IMAT)的全腹盆腔放疗(WAPRT):首次临床经验。
Int J Radiat Oncol Biol Phys. 2003 Nov 15;57(4):1019-32. doi: 10.1016/s0360-3016(03)00663-1.

引用本文的文献

1
Standardization of knowledge-based volumetric modulated arc therapy planning with a multi-institution model (broad model) to improve prostate cancer treatment quality.采用多机构模型(广义模型)对基于知识的容积调强弧形放疗计划进行标准化,以提高前列腺癌治疗质量。
Phys Eng Sci Med. 2023 Sep;46(3):1091-1100. doi: 10.1007/s13246-023-01278-9. Epub 2023 May 29.

本文引用的文献

1
Multi-institutional evaluation of knowledge-based planning performance of volumetric modulated arc therapy (VMAT) for head and neck cancer.多机构评估容积旋转调强放疗(VMAT)治疗头颈部癌症的基于知识的计划性能。
Phys Med. 2019 Aug;64:174-181. doi: 10.1016/j.ejmp.2019.07.004. Epub 2019 Jul 16.
2
DVH Analytics: A DVH database for clinicians and researchers.剂量体积直方图分析:面向临床医生和研究人员的剂量体积直方图数据库。
J Appl Clin Med Phys. 2018 Sep;19(5):413-427. doi: 10.1002/acm2.12401. Epub 2018 Jul 21.
3
An interactive plan and model evolution method for knowledge-based pelvic VMAT planning.
一种基于知识的盆腔容积调强放疗计划的交互式计划与模型演化方法
J Appl Clin Med Phys. 2018 Sep;19(5):491-498. doi: 10.1002/acm2.12403. Epub 2018 Jul 8.
4
Dosimetric comparison of RapidPlan and manually optimized plans in volumetric modulated arc therapy for prostate cancer.容积调强弧形放疗中RapidPlan与手动优化计划用于前列腺癌的剂量学比较
Phys Med. 2017 Dec;44:199-204. doi: 10.1016/j.ejmp.2017.06.026. Epub 2017 Jul 10.
5
A dosimetric evaluation of knowledge-based VMAT planning with simultaneous integrated boosting for rectal cancer patients.对直肠癌患者采用同时整合加量的基于知识的容积调强放疗计划的剂量学评估。
J Appl Clin Med Phys. 2016 Nov 8;17(6):78-85. doi: 10.1120/jacmp.v17i6.6410.
6
Effect of Dosimetric Outliers on the Performance of a Commercial Knowledge-Based Planning Solution.剂量学离群值对商业知识型计划解决方案性能的影响。
Int J Radiat Oncol Biol Phys. 2016 Mar 1;94(3):469-77. doi: 10.1016/j.ijrobp.2015.11.011. Epub 2015 Nov 10.
7
Evaluation of an automated knowledge based treatment planning system for head and neck.头颈部基于知识的自动化治疗计划系统的评估
Radiat Oncol. 2015 Nov 10;10:226. doi: 10.1186/s13014-015-0533-2.
8
A broad scope knowledge based model for optimization of VMAT in esophageal cancer: validation and assessment of plan quality among different treatment centers.一种基于广泛知识的食管癌容积调强放疗优化模型:不同治疗中心间计划质量的验证与评估
Radiat Oncol. 2015 Oct 31;10:220. doi: 10.1186/s13014-015-0530-5.
9
Volumetric-modulated arc therapy planning using multicriteria optimization for localized prostate cancer.使用多标准优化的容积调强弧形放疗计划用于局限性前列腺癌。
J Appl Clin Med Phys. 2015 May 8;16(3):5410. doi: 10.1120/jacmp.v16i3.5410.
10
Evaluation of a knowledge-based planning solution for head and neck cancer.头颈部癌基于知识的治疗计划解决方案评估
Int J Radiat Oncol Biol Phys. 2015 Mar 1;91(3):612-20. doi: 10.1016/j.ijrobp.2014.11.014. Epub 2015 Jan 30.