• 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

Complication probability as assessed from dose-volume histograms.

作者信息

Lyman J T

出版信息

Radiat Res Suppl. 1985;8:S13-9.

PMID:3867079
Abstract

Optimization of a treatment plan for radiation therapy will produce a plan with the highest probability for tumor control without exceeding an acceptable complication rate. To achieve this goal it is necessary to have a means to estimate probabilities of local control and normal tissue complication. In general, good treatment plans deliver a high uniform dose to the target volume and lower doses to the surrounding normal tissues. The tolerance dose values available for various normal tissues are usually assumed to apply to partial or full volumes of the tissue which have been uniformly irradiated. These values are the best guidelines for estimating complication probabilities in tissues that receive a uniform dose to a fraction of the tissue and no dose to the remainder. Dose-volume histograms are one means of evaluating the uniformity of the irradiation on the tissues. Frequently the normal tissues are not uniformly irradiated as is demonstrated by dose-volume histograms for different treatment plans. A recursive algorithm which uses these tolerance dose data has been written and can be applied to arbitrary dose-volume histograms to estimate the complication probability.

摘要

相似文献

1
Complication probability as assessed from dose-volume histograms.
Radiat Res Suppl. 1985;8:S13-9.
2
Treatment plan comparison between helical tomotherapy and MLC-based IMRT using radiobiological measures.基于放射生物学指标的螺旋断层放射治疗与基于多叶准直器的调强放射治疗的治疗计划比较
Phys Med Biol. 2007 Jul 7;52(13):3817-36. doi: 10.1088/0031-9155/52/13/011. Epub 2007 May 31.
3
Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy.调强放射治疗中射束几何形状与强度图的同步优化
Int J Radiat Oncol Biol Phys. 2006 Jan 1;64(1):301-20. doi: 10.1016/j.ijrobp.2005.08.023. Epub 2005 Nov 14.
4
[The determination of the optimal irradiation dose in the tumor tissue-normal body tissues system].
Med Tekh. 1997 Jul-Aug(4):18-21.
5
Intensity-modulated radiation therapy (IMRT) dosimetry of the head and neck: a comparison of treatment plans using linear accelerator-based IMRT and helical tomotherapy.头颈部调强放射治疗(IMRT)剂量测定:基于直线加速器的IMRT与螺旋断层放疗治疗计划的比较
Int J Radiat Oncol Biol Phys. 2006 Jul 1;65(3):917-23. doi: 10.1016/j.ijrobp.2006.02.038.
6
Dosimetry and radiobiologic model comparison of IMRT and 3D conformal radiotherapy in treatment of carcinoma of the prostate.调强放射治疗与三维适形放射治疗在前列腺癌治疗中的剂量学及放射生物学模型比较
Int J Radiat Oncol Biol Phys. 2004 May 1;59(1):267-84. doi: 10.1016/j.ijrobp.2004.01.024.
7
Normal tissue complication probability modelling of tissue fibrosis following breast radiotherapy.乳腺癌放疗后组织纤维化的正常组织并发症概率建模
Phys Med Biol. 2007 Apr 7;52(7):1831-43. doi: 10.1088/0031-9155/52/7/005. Epub 2007 Mar 7.
8
The impact of different dose-response parameters on biologically optimized IMRT in breast cancer.
Phys Med Biol. 2008 May 21;53(10):2733-52. doi: 10.1088/0031-9155/53/10/019. Epub 2008 May 1.
9
[Dosimetric analysis of radiotherapy with middle shielding blocks of different widths at the lower cervical supraclavicular field for stage N2-3 nasopharyngeal carcinoma].[N2-3期鼻咽癌下颈锁骨上野不同宽度中间遮挡块放疗的剂量学分析]
Ai Zheng. 2007 Oct;26(10):1127-32.
10
Intensity-modulated radiotherapy for soft tissue sarcoma of the thigh.大腿软组织肉瘤的调强放射治疗
Int J Radiat Oncol Biol Phys. 2004 Jul 1;59(3):752-9. doi: 10.1016/j.ijrobp.2003.11.037.

引用本文的文献

1
A comprehensive investigation of the radiation isocentre spatial variability in linear accelerators: implications for commissioning, QA, and clinical protocols.直线加速器中辐射等中心空间变异性的综合研究:对调试、质量保证和临床方案的影响。
Phys Eng Sci Med. 2025 Sep 10. doi: 10.1007/s13246-025-01637-8.
2
Dosimetric and Radiobiological Evaluation of Inhomogeneity-Corrected Dose Distribution in Prophylactic Radiotherapy for Heterotopic Ossification.异位骨化预防性放射治疗中不均匀性校正剂量分布的剂量学和放射生物学评估
J Clin Med. 2025 Jul 26;14(15):5291. doi: 10.3390/jcm14155291.
3
NTCP-Based Prediction of Lung Sparing With IMPT in BC Patients and Implication of Patient Selection.
基于NTCP的乳腺癌患者IMPT肺保护预测及患者选择的意义。
Int J Part Ther. 2025 Jun 24;17:101196. doi: 10.1016/j.ijpt.2025.101196. eCollection 2025 Sep.
4
Evaluating the efficacy of biological versus physical cost functions with constrained mode for inverse plan optimization of head and neck cancer.评估生物成本函数与物理成本函数在约束模式下对头颈部癌逆向计划优化的疗效。
Radiol Phys Technol. 2025 Sep;18(3):851-860. doi: 10.1007/s12194-025-00939-6. Epub 2025 Jul 14.
5
Optimal Fractionation Scheduling for Radiotherapy Treatments with Reinforcement Learning, Tumor Growth Modeling and Outcome Modeling.基于强化学习、肿瘤生长建模和结果建模的放射治疗最佳分割计划安排
Biomedicines. 2025 Jun 3;13(6):1367. doi: 10.3390/biomedicines13061367.
6
Mathematical mechanistic model representing the cancer immunity cycle under radiation effects.描述辐射效应下癌症免疫循环的数学机制模型。
Sci Rep. 2025 Jun 6;15(1):19940. doi: 10.1038/s41598-025-04715-9.
7
Deep Learning-Based Synthetic CT for Personalized Treatment Modality Selection Between Proton and Photon Therapy in Thoracic Cancer.基于深度学习的合成CT在胸段肿瘤质子与光子治疗个性化治疗方式选择中的应用
Cancers (Basel). 2025 May 3;17(9):1553. doi: 10.3390/cancers17091553.
8
A new formula for calculating normal tissue complication probability.一种计算正常组织并发症概率的新公式。
Precis Radiat Oncol. 2024 Sep 19;8(3):126-131. doi: 10.1002/pro6.1240. eCollection 2024 Sep.
9
Critical review of patient outcome study in head and neck cancer radiotherapy.头颈部癌放疗患者结局研究的批判性综述
ArXiv. 2025 Mar 19:arXiv:2503.15691v1.
10
Dosimetric and Radiobiological Impact of Patient Setup Errors in Intensity-modulated Radiotherapy for Esophageal Cancer.食管癌调强放射治疗中患者摆位误差的剂量学和放射生物学影响
Technol Cancer Res Treat. 2025 Jan-Dec;24:15330338241311136. doi: 10.1177/15330338241311136.