• 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

乳腺癌放疗中靶区体积及心脏亚结构自动勾画的进展(综述)

Advances in automatic delineation of target volume and cardiac substructure in breast cancer radiotherapy (Review).

作者信息

Shen Jingjing, Gu Peihua, Wang Yun, Wang Zhongming

机构信息

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200438, P.R. China.

Department of Oncology and Radiotherapy, Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai 200438, P.R. China.

出版信息

Oncol Lett. 2023 Feb 2;25(3):110. doi: 10.3892/ol.2023.13697. eCollection 2023 Mar.

DOI:10.3892/ol.2023.13697
PMID:36817059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9932716/
Abstract

Postoperative adjuvant radiotherapy plays an important role in the treatment of patients with breast cancer. With the continuous development of radiotherapeutic technologies, the requirements for radiotherapeutic accuracy are increasingly high. The accuracy of target volume and organ at risk delineation significantly affects the effect of radiotherapy. Automatic delineation software has been continuously developed for the automatic delineation of target areas and organs at risk. Automatic segmentation based on an atlas and deep learning is a hot topic in current clinical research. Automatic delineation can not only reduce the workload and delineation times, but also establish a uniform delineation standard and reduce inter-observer and intra-observer differences. In patients with breast cancer, especially in patients who undergo left breast radiotherapy, the protection of the heart is particularly important. Treating the whole heart as an organ at risk cannot meet the clinical needs, and it is necessary to limit the dose to specific cardiac substructures. The present review discusses the importance of automatic delineation of target volume and cardiac substructure in radiotherapy for patients with breast cancer.

摘要

术后辅助放疗在乳腺癌患者的治疗中发挥着重要作用。随着放射治疗技术的不断发展,对放射治疗精度的要求越来越高。靶区体积和危及器官勾画的准确性显著影响放疗效果。自动勾画软件不断发展,用于自动勾画靶区和危及器官。基于图谱和深度学习的自动分割是当前临床研究的热点。自动勾画不仅可以减少工作量和勾画时间,还可以建立统一的勾画标准,减少观察者间和观察者内差异。在乳腺癌患者中,尤其是接受左乳放疗的患者,心脏保护尤为重要。将整个心脏作为危及器官进行处理不能满足临床需求,有必要将剂量限制在特定的心脏亚结构。本综述讨论了乳腺癌患者放疗中靶区体积和心脏亚结构自动勾画的重要性。

相似文献

1
Advances in automatic delineation of target volume and cardiac substructure in breast cancer radiotherapy (Review).乳腺癌放疗中靶区体积及心脏亚结构自动勾画的进展(综述)
Oncol Lett. 2023 Feb 2;25(3):110. doi: 10.3892/ol.2023.13697. eCollection 2023 Mar.
2
Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy.全自动混合深度学习心脏亚结构分割工具在肺癌放疗中的轮廓勾画和剂量评估的验证。
Clin Oncol (R Coll Radiol). 2023 Jun;35(6):370-381. doi: 10.1016/j.clon.2023.03.005. Epub 2023 Mar 11.
3
Atlas-based auto-segmentation for delineating the heart and cardiac substructures in breast cancer radiation therapy.基于图谱的自动分割在乳腺癌放射治疗中心脏和心脏亚结构勾画中的应用。
Acta Oncol. 2022 Feb;61(2):247-254. doi: 10.1080/0284186X.2021.1967445. Epub 2021 Aug 24.
4
Dosimetric Impact of Delineation and Motion Uncertainties on the Heart and Substructures in Lung Cancer Radiotherapy.肺癌放疗中勾画和运动不确定性对心脏和子结构的剂量学影响。
Clin Oncol (R Coll Radiol). 2024 Jul;36(7):420-429. doi: 10.1016/j.clon.2024.04.002. Epub 2024 Apr 4.
5
Atlas Sampling for Prone Breast Automatic Segmentation of Organs at Risk: The Importance of Patients' Body Mass Index and Breast Cup Size for an Optimized Contouring of the Heart and the Coronary Vessels.俯卧位乳腺自动分割中危及器官的图谱采样:患者体重指数和胸罩罩杯尺寸对心脏和冠状动脉优化轮廓的重要性。
Technol Cancer Res Treat. 2020 Jan-Dec;19:1533033820920624. doi: 10.1177/1533033820920624.
6
Development of Simplified Auto-Segmentable Functional Cardiac Atlas.简化的自动可分割功能心脏图谱的开发。
Pract Radiat Oncol. 2022 Nov-Dec;12(6):533-538. doi: 10.1016/j.prro.2022.02.004. Epub 2022 Feb 19.
7
Evaluation of a software for automatic delineation of the mammary gland and organs at risk in patients treated for breast cancer in lateral position.对一款用于自动勾勒处于侧卧位的乳腺癌患者乳腺及危及器官的软件的评估。
Cancer Radiother. 2020 Dec;24(8):799-804. doi: 10.1016/j.canrad.2020.03.012. Epub 2020 Oct 9.
8
[Evaluation of an automatic delineation system for organs at risk and target lymph nodes volumes for patients treated for breast cancer].
Cancer Radiother. 2018 May;22(3):241-247. doi: 10.1016/j.canrad.2017.09.012. Epub 2018 Apr 5.
9
Analysis of cardiac substructure dose in a large, multi-centre danish breast cancer cohort (the DBCG HYPO trial): Trends and predictive modelling.丹麦大型多中心乳腺癌队列(DBCG HYPO试验)中心脏亚结构剂量分析:趋势与预测模型
Radiother Oncol. 2020 Dec;153:130-138. doi: 10.1016/j.radonc.2020.09.004. Epub 2020 Sep 9.
10
Contouring cardiac substructures on average intensity projection 4D-CT for lung cancer radiotherapy: A proposal of a heart valve contouring atlas.基于平均 CT 值的 4D-CT 勾画心脏亚结构在肺癌放疗中的应用:心脏瓣膜勾画图谱的提出。
Radiother Oncol. 2022 Feb;167:261-268. doi: 10.1016/j.radonc.2021.12.041. Epub 2022 Jan 3.

引用本文的文献

1
Photothermal and radiotherapy with alginate-coated gold nanoparticles for breast cancer treatment.藻酸盐包覆金纳米粒子的光热和放疗联合用于乳腺癌治疗。
Sci Rep. 2024 Jun 10;14(1):13299. doi: 10.1038/s41598-024-60396-w.
2
Cardiac substructure delineation in radiation therapy - A state-of-the-art review.放射治疗中心脏亚结构的描绘——一项最新综述。
J Med Imaging Radiat Oncol. 2024 Dec;68(8):914-949. doi: 10.1111/1754-9485.13668. Epub 2024 May 17.

本文引用的文献

1
Towards automated organs at risk and target volumes contouring: Defining precision radiation therapy in the modern era.迈向危及器官和靶区体积的自动勾画:定义现代精准放射治疗。
J Natl Cancer Cent. 2022 Oct 11;2(4):306-313. doi: 10.1016/j.jncc.2022.09.003. eCollection 2022 Dec.
2
Clinical target volume automatic segmentation based on lymph node stations for lung cancer with bulky lump lymph nodes.基于淋巴结站的肺癌大块淋巴结临床靶区自动勾画。
Thorac Cancer. 2022 Oct;13(20):2897-2903. doi: 10.1111/1759-7714.14638. Epub 2022 Sep 9.
3
Training, validation, and clinical implementation of a deep-learning segmentation model for radiotherapy of loco-regional breast cancer.深度学习分割模型在局部区域性乳腺癌放射治疗中的训练、验证和临床应用。
Radiother Oncol. 2022 Aug;173:62-68. doi: 10.1016/j.radonc.2022.05.018. Epub 2022 May 23.
4
Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study.基于深度卷积神经网络的合成对比增强计算机断层扫描生成技术在乳腺癌放疗中心脏亚结构勾画中的可行性研究。
Radiat Oncol. 2022 Apr 22;17(1):83. doi: 10.1186/s13014-022-02051-0.
5
Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.基于相互增强学习的 CT 心脏亚结构自动分割。
Phys Med Biol. 2022 May 11;67(10). doi: 10.1088/1361-6560/ac692d.
6
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models.使用级联深度学习模型对小数据集进行自动心脏结构轮廓提取
J Med Syst. 2022 Mar 25;46(5):22. doi: 10.1007/s10916-022-01810-6.
7
Development of Simplified Auto-Segmentable Functional Cardiac Atlas.简化的自动可分割功能心脏图谱的开发。
Pract Radiat Oncol. 2022 Nov-Dec;12(6):533-538. doi: 10.1016/j.prro.2022.02.004. Epub 2022 Feb 19.
8
Heart atlas for retrospective cardiac dosimetry: a multi-institutional study on interobserver contouring variations and their dosimetric impact.心脏图谱用于回顾性心脏剂量学:一项关于观察者间勾画差异及其剂量学影响的多中心研究。
Radiat Oncol. 2021 Dec 20;16(1):241. doi: 10.1186/s13014-021-01965-5.
9
Automatic Segmentation of Clinical Target Volume and Organs-at-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network.使用卷积神经网络对保乳放疗的临床靶区和危及器官进行自动分割
Cancer Manag Res. 2021 Nov 2;13:8209-8217. doi: 10.2147/CMAR.S330249. eCollection 2021.
10
Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy.深度学习自动分割在乳腺癌放疗中的评价。
Radiat Oncol. 2021 Oct 14;16(1):203. doi: 10.1186/s13014-021-01923-1.