• 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

通过质量保证和优化实现可验证的肿瘤成像 (i-Violin):一项欧洲多中心研究的方案。

Implementing verifiable oncological imaging by quality assurance and optimization (i‑Violin) : Protocol for a European multicenter study.

机构信息

Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckst. 1, 55131, Mainz, Germany.

European Institute for Biomedical Imaging Research (EIBIR), Am Gestade 1, 1010, Vienna, Austria.

出版信息

Radiologie (Heidelb). 2024 Nov;64(Suppl 1):160-165. doi: 10.1007/s00117-024-01389-8. Epub 2024 Oct 30.

DOI:10.1007/s00117-024-01389-8
PMID:39477833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11602843/
Abstract

BACKGROUND

Advanced imaging techniques play a pivotal role in oncology. A large variety of computed tomography (CT) scanners, scan protocols, and acquisition techniques have led to a wide range in image quality and radiation exposure. This study aims at implementing verifiable oncological imaging by quality assurance and optimization (i-Violin) through harmonizing image quality and radiation dose across Europe.

METHODS

The 2‑year multicenter implementation study outlined here will focus on CT imaging of lung, stomach, and colorectal cancer and include imaging for four radiological indications: diagnosis, radiation therapy planning, staging, and follow-up. Therefore, 480 anonymized CT data sets of patients will be collected by the associated university hospitals and uploaded to a repository. Radiologists will determine key abdominopelvic structures for image quality assessment by consensus and subsequently adapt a previously developed lung CT tool for the objective evaluation of image quality. The quality metrics will be evaluated for their correlation with perceived image quality and the standardized optimization strategy will be disseminated across Europe.

RESULTS

The results of the outlined study will be used to obtain European reference data, to build teaching programs for the developed tools, and to create a culture of optimization in oncological CT imaging.

CONCLUSION

The study protocol and rationale for i‑Violin, a European approach for standardization and harmonization of image quality and optimization of CT procedures in oncological imaging, is presented. Future results will be disseminated across all EU member states, and i‑Violin is thus expected to have a sustained impact on CT imaging for cancer patients across Europe.

摘要

背景

先进的成像技术在肿瘤学中起着至关重要的作用。大量的计算机断层扫描(CT)扫描仪、扫描方案和采集技术导致图像质量和辐射剂量存在广泛差异。本研究旨在通过质量保证和优化(i-Violin)实现可验证的肿瘤成像,在欧洲范围内协调图像质量和辐射剂量。

方法

本研究为为期 2 年的多中心实施研究,将重点关注肺癌、胃癌和结直肠癌的 CT 成像,包括四种影像学适应症的成像:诊断、放射治疗计划、分期和随访。因此,将通过相关大学医院收集 480 名匿名患者的 CT 数据集,并将其上传至存储库。放射科医生将通过共识确定用于图像质量评估的关键腹部结构,随后将针对客观评估图像质量的先前开发的肺 CT 工具进行调整。将评估质量指标与感知图像质量的相关性,并在整个欧洲传播标准化的优化策略。

结果

所概述研究的结果将用于获取欧洲参考数据,为开发工具构建教学计划,并为肿瘤 CT 成像中的优化创造文化。

结论

提出了 i-Violin 的研究方案和基本原理,这是一种用于肿瘤成像中标准化和协调图像质量以及优化 CT 程序的欧洲方法。未来的结果将在所有欧盟成员国传播,因此 i-Violin 有望对欧洲癌症患者的 CT 成像产生持续影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c8c/11602843/2789e7ff97ed/117_2024_1389_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c8c/11602843/2789e7ff97ed/117_2024_1389_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c8c/11602843/2789e7ff97ed/117_2024_1389_Fig1_HTML.jpg

相似文献

1
Implementing verifiable oncological imaging by quality assurance and optimization (i‑Violin) : Protocol for a European multicenter study.通过质量保证和优化实现可验证的肿瘤成像 (i-Violin):一项欧洲多中心研究的方案。
Radiologie (Heidelb). 2024 Nov;64(Suppl 1):160-165. doi: 10.1007/s00117-024-01389-8. Epub 2024 Oct 30.
2
System for verifiable CT radiation dose optimization based on image quality. part II. process control system.基于图像质量的可验证 CT 辐射剂量优化系统。第二部分。过程控制系统。
Radiology. 2013 Oct;269(1):177-85. doi: 10.1148/radiol.13122321. Epub 2013 Jun 19.
3
CT radiation dose and image quality optimization using a porcine model.使用猪模型优化CT辐射剂量与图像质量
Radiol Technol. 2013 Nov-Dec;85(2):127-36.
4
Automatic CT simulation optimization for radiation therapy: A general strategy.放射治疗的自动CT模拟优化:一种通用策略。
Med Phys. 2014 Mar;41(3):031913. doi: 10.1118/1.4866377.
5
CT image quality over time: comparison of image quality for six different CT scanners over a six-year period.随时间变化的CT图像质量:六台不同CT扫描仪在六年期间的图像质量比较。
J Appl Clin Med Phys. 2015 Mar 8;16(2):4972. doi: 10.1120/jacmp.v16i2.4972.
6
Establishing scanning protocols for a CT lung cancer screening trial in the UK.建立英国 CT 肺癌筛查试验的扫描方案。
Br J Radiol. 2021 Dec;94(1128):20201343. doi: 10.1259/bjr.20201343. Epub 2021 Sep 24.
7
Standardization of image quality across multiple centers by optimization of acquisition and reconstruction parameters with interim FDG-PET/CT for evaluating diffuse large B cell lymphoma.通过优化采集和重建参数,结合中期 FDG-PET/CT 对弥漫性大 B 细胞淋巴瘤进行评估,实现多中心图像质量的标准化。
Ann Nucl Med. 2013 Apr;27(3):225-32. doi: 10.1007/s12149-012-0676-2. Epub 2012 Dec 22.
8
Optimal abdominal CT protocol for obese patients.肥胖患者的最佳腹部CT检查方案。
Radiography (Lond). 2018 Feb;24(1):e1-e12. doi: 10.1016/j.radi.2017.08.003. Epub 2017 Aug 25.
9
Normalized CT dose index of the CT scanners used in the National Lung Screening Trial.在国家肺癌筛查试验中使用的 CT 扫描仪的标准化 CT 剂量指数。
AJR Am J Roentgenol. 2010 Jun;194(6):1539-46. doi: 10.2214/AJR.09.3268.
10
Low-dose CT screening for lung cancer with automatic exposure control: phantom study.采用自动曝光控制的低剂量CT肺癌筛查:体模研究
Radiol Phys Technol. 2008 Jul;1(2):244-50. doi: 10.1007/s12194-008-0036-z. Epub 2008 Jul 11.

本文引用的文献

1
Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization.基于深度学习的定位图像中患者体型和衰减替代物的计算:实现个体化胸部 CT 协议优化。
Eur J Radiol. 2022 Dec;157:110602. doi: 10.1016/j.ejrad.2022.110602. Epub 2022 Nov 11.
2
Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up.转移性结直肠癌:ESMO 诊断、治疗及随访临床实践指南
Ann Oncol. 2023 Jan;34(1):10-32. doi: 10.1016/j.annonc.2022.10.003. Epub 2022 Oct 25.
3
Photon-counting detector CT improves quality of arterial phase abdominal scans: A head-to-head comparison with energy-integrating CT.
光子计数探测器CT提高了腹部动脉期扫描的质量:与能量积分CT的直接比较。
Eur J Radiol. 2022 Nov;156:110514. doi: 10.1016/j.ejrad.2022.110514. Epub 2022 Sep 10.
4
Education and training in radiation protection in Europe: an analysis from the EURAMED rocc-n-roll project.欧洲辐射防护教育与培训:来自EURAMED rocc-n-roll项目的分析
Insights Imaging. 2022 Sep 4;13(1):142. doi: 10.1186/s13244-022-01271-y.
5
Dose Reduction and Image Quality in Photon-counting Detector High-resolution Computed Tomography of the Chest: Routine Clinical Data.光子计数探测器胸部高分辨率 CT 的剂量降低和图像质量:常规临床数据。
J Thorac Imaging. 2022 Sep 1;37(5):315-322. doi: 10.1097/RTI.0000000000000661. Epub 2022 Jun 14.
6
Exploring the translational challenge for medical applications of ionising radiation and corresponding radiation protection research.探索电离辐射在医学应用及相应辐射防护研究方面的转化难题。
J Transl Med. 2022 Mar 18;20(1):137. doi: 10.1186/s12967-022-03344-4.
7
Quantum Iterative Reconstruction for Abdominal Photon-counting Detector CT Improves Image Quality.腹部光子计数探测器CT的量子迭代重建可提高图像质量。
Radiology. 2022 May;303(2):339-348. doi: 10.1148/radiol.211931. Epub 2022 Feb 1.
8
Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging.基于深度学习的从定位扫描全自动定义Z轴覆盖范围以消除胸部CT成像中的过度扫描
Insights Imaging. 2021 Nov 6;12(1):162. doi: 10.1186/s13244-021-01105-3.
9
Out-of-field organ doses and associated risk of cancer development following radiation therapy with photons.放疗中光子的场外器官剂量及其相关癌症发病风险。
Phys Med. 2021 Oct;90:73-82. doi: 10.1016/j.ejmp.2021.09.005. Epub 2021 Sep 24.
10
Delphi methodology in healthcare research: How to decide its appropriateness.医疗保健研究中的德尔菲法:如何确定其适用性。
World J Methodol. 2021 Jul 20;11(4):116-129. doi: 10.5662/wjm.v11.i4.116.