• 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

相似文献

1
ESR paper on structured reporting in radiology-update 2023.欧洲放射学会关于放射学结构化报告的论文——2023年更新版
Insights Imaging. 2023 Nov 23;14(1):199. doi: 10.1186/s13244-023-01560-0.
2
[Structured reporting in radiology : German and European radiology societies' point of view].[放射学中的结构化报告:德国和欧洲放射学会的观点]
Radiologe. 2021 Nov;61(11):979-985. doi: 10.1007/s00117-021-00921-4. Epub 2021 Oct 18.
3
Structured Reporting in Clinical Routine.临床常规中的结构化报告
Rofo. 2019 Jan;191(1):33-39. doi: 10.1055/a-0636-3851. Epub 2018 Aug 13.
4
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
[Integration of structured reporting into the routine radiological workflow].[将结构化报告整合到常规放射学工作流程中]
Radiologe. 2021 Nov;61(11):1005-1013. doi: 10.1007/s00117-021-00917-0. Epub 2021 Sep 28.
6
How to prepare for a bright future of radiology in Europe.如何为欧洲放射学的光明未来做好准备。
Insights Imaging. 2023 Oct 10;14(1):168. doi: 10.1186/s13244-023-01525-3.
7
Structured radiology reporting on an institutional level-benefit or new administrative burden?结构化放射学报告:机构层面的获益还是新的行政负担?
Ann N Y Acad Sci. 2018 Dec;1434(1):274-281. doi: 10.1111/nyas.13741. Epub 2018 May 16.
8
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.用于放射科结构化报告的大型语言模型:GPT-4、ChatGPT-3.5、Perplexity 和 Bing 的性能。
Radiol Med. 2023 Jul;128(7):808-812. doi: 10.1007/s11547-023-01651-4. Epub 2023 May 29.
9
Advancements in Standardizing Radiological Reports: A Comprehensive Review.标准化放射报告的进展:全面综述。
Medicina (Kaunas). 2023 Sep 17;59(9):1679. doi: 10.3390/medicina59091679.
10
ESR paper on structured reporting in radiology.放射学中关于结构化报告的红细胞沉降率论文。
Insights Imaging. 2018 Feb;9(1):1-7. doi: 10.1007/s13244-017-0588-8. Epub 2018 Feb 19.

引用本文的文献

1
Use and Perceptions of Oncology CT Structured Reports in Australia and New Zealand.澳大利亚和新西兰肿瘤CT结构化报告的使用与认知
J Med Imaging Radiat Oncol. 2025 Aug;69(5):554-560. doi: 10.1111/1754-9485.13860. Epub 2025 Jul 2.
2
Conversion of Mixed-Language Free-Text CT Reports of Pancreatic Cancer to National Comprehensive Cancer Network Structured Reporting Templates by Using GPT-4.使用GPT-4将胰腺癌混合语言自由文本CT报告转换为美国国立综合癌症网络结构化报告模板
Korean J Radiol. 2025 Jun;26(6):557-568. doi: 10.3348/kjr.2024.1228. Epub 2025 Apr 17.
3
Enhancing Bidirectional Encoder Representations From Transformers (BERT) With Frame Semantics to Extract Clinically Relevant Information From German Mammography Reports: Algorithm Development and Validation.利用框架语义增强来自变换器的双向编码器表征(BERT)以从德国乳腺钼靶报告中提取临床相关信息:算法开发与验证
J Med Internet Res. 2025 Apr 25;27:e68427. doi: 10.2196/68427.
4
Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.人工智能在心脏CT和MRI中的应用:欧洲心血管研究基金会(ESCR)、欧洲心脏影像学会(EuSoMII)、北美心血管影像学会(NASCI)、心血管计算机断层扫描学会(SCCT)、心血管磁共振学会(SCMR)、美国医学影像学会(SIIM)和北美放射学会(RSNA)的科学声明。
Radiology. 2025 Jan;314(1):e240516. doi: 10.1148/radiol.240516.
5
Impact of Standardized Reporting Systems on Patient Experience in Radiology.标准化报告系统对放射科患者体验的影响。
J Patient Exp. 2025 Jan 22;12:23743735251314648. doi: 10.1177/23743735251314648. eCollection 2025.
6
Improving radiology reporting locally and globally: who, how, and why?在本地和全球范围内改善放射学报告:何人、如何以及为何?
Br J Radiol. 2025 Mar 1;98(1167):330-335. doi: 10.1093/bjr/tqae253.
7
Enhancing Radiological Reporting in Head and Neck Cancer: Converting Free-Text CT Scan Reports to Structured Reports Using Large Language Models.增强头颈癌的放射学报告:使用大语言模型将自由文本CT扫描报告转换为结构化报告
Indian J Radiol Imaging. 2024 Aug 1;35(1):43-49. doi: 10.1055/s-0044-1788589. eCollection 2025 Jan.
8
Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study.利用特定领域的大语言模型对自由文本MRI报告进行LI-RADS v2018分类:一项可行性研究。
Insights Imaging. 2024 Nov 22;15(1):280. doi: 10.1186/s13244-024-01850-1.
9
The impact of different radiology report formats on patient information processing: a systematic review.不同放射学报告格式对患者信息处理的影响:一项系统综述
Eur Radiol. 2025 May;35(5):2644-2657. doi: 10.1007/s00330-024-11165-w. Epub 2024 Nov 15.
10
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.多中心概念验证研究中用于非小细胞肺癌分期的软件辅助结构化报告和半自动TNM分类
Insights Imaging. 2024 Oct 28;15(1):258. doi: 10.1186/s13244-024-01836-z.

本文引用的文献

1
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.使用ChatGPT和GPT-4通过提示学习将放射学报告翻译成通俗易懂的语言:结果、局限性和潜力。
Vis Comput Ind Biomed Art. 2023 May 18;6(1):9. doi: 10.1186/s42492-023-00136-5.
2
Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience.临床常规中结构化报告的实施:七年机构经验回顾
Insights Imaging. 2023 Apr 11;14(1):61. doi: 10.1186/s13244-023-01408-7.
3
Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study.利用GPT-4将自由文本放射学报告进行事后转换为结构化报告:一项多语言可行性研究。
Radiology. 2023 May;307(4):e230725. doi: 10.1148/radiol.230725. Epub 2023 Apr 4.
4
Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing.使用基于语音识别和自然语言处理的智能对话系统在放射学中进行高效的结构化报告。
Insights Imaging. 2023 Mar 16;14(1):47. doi: 10.1186/s13244-023-01392-y.
5
Eye-tracking differences between free text and template radiology reports: a pilot study.自由文本与模板式放射学报告之间的眼动追踪差异:一项初步研究。
J Med Imaging (Bellingham). 2023 Feb;10(Suppl 1):S11902. doi: 10.1117/1.JMI.10.S1.S11902. Epub 2023 Feb 8.
6
RadBERT: Adapting Transformer-based Language Models to Radiology.RadBERT:使基于Transformer的语言模型适用于放射学领域。
Radiol Artif Intell. 2022 Jun 15;4(4):e210258. doi: 10.1148/ryai.210258. eCollection 2022 Jul.
7
Structured reporting of x-ray mammography in the first diagnosis of breast cancer: a Delphi consensus proposal.X 射线乳腺摄影在乳腺癌首次诊断中的结构化报告:德尔菲共识建议。
Radiol Med. 2022 May;127(5):471-483. doi: 10.1007/s11547-022-01478-5. Epub 2022 Mar 18.
8
Structured Reporting of Computed Tomography in the Staging of Neuroendocrine Neoplasms: A Delphi Consensus Proposal.计算机断层扫描在神经内分泌肿瘤分期中的结构化报告:德尔菲共识建议。
Front Endocrinol (Lausanne). 2021 Nov 30;12:748944. doi: 10.3389/fendo.2021.748944. eCollection 2021.
9
Radiology reporting in rectal cancer using MRI: adherence to national template for structured reporting.直肠癌磁共振成像报告:采用国家结构化报告模板。
Acta Radiol. 2022 Dec;63(12):1603-1612. doi: 10.1177/02841851211057276. Epub 2021 Dec 6.
10
Structured Reporting of Computed Tomography and Magnetic Resonance in the Staging of Pancreatic Adenocarcinoma: A Delphi Consensus Proposal.胰腺癌分期中计算机断层扫描和磁共振成像的结构化报告:德尔菲共识提案
Diagnostics (Basel). 2021 Nov 3;11(11):2033. doi: 10.3390/diagnostics11112033.

欧洲放射学会关于放射学结构化报告的论文——2023年更新版

ESR paper on structured reporting in radiology-update 2023.

出版信息

Insights Imaging. 2023 Nov 23;14(1):199. doi: 10.1186/s13244-023-01560-0.

DOI:10.1186/s13244-023-01560-0
PMID:37995019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10667169/
Abstract

Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to patients and referring physicians. Despite many physicians' preference for structured reports and various efforts by radiological societies and some vendors, structured reporting has still not been widely adopted in clinical routine.While in many countries national radiological societies have launched initiatives to further promote structured reporting, cross-institutional applications of report templates and incentives for usage of structured reporting are lacking. Various legislative measures have been taken in the USA and the European Union to promote interoperable data formats such as Fast Healthcare Interoperability Resources (FHIR) in the context of the EU Health Data Space (EHDS) which will certainly be relevant for the future of structured reporting. Lastly, recent advances in artificial intelligence and large language models may provide innovative and efficient approaches to integrate structured reporting more seamlessly into the radiologists' workflow.The ESR will remain committed to advancing structured reporting as a key component towards more value-based radiology. Practical solutions for structured reporting need to be provided by vendors. Policy makers should incentivize the usage of structured radiological reporting, especially in cross-institutional setting.Critical relevance statement Over the past years, the benefits of structured reporting in radiology have been widely discussed and agreed upon; however, implementation in clinical routine is lacking due-policy makers should incentivize the usage of structured radiological reporting, especially in cross-institutional setting.Key points1. Various national societies have established initiatives for structured reporting in radiology.2. Almost no monetary or structural incentives exist that favor structured reporting.3. A consensus on technical standards for structured reporting is still missing.4. The application of large language models may help structuring radiological reports.5. Policy makers should incentivize the usage of structured radiological reporting.

摘要

放射学中的结构化报告在提高为患者和转诊医生提供的服务质量方面仍具有巨大潜力。尽管许多医生偏爱结构化报告,放射学会和一些供应商也做出了各种努力,但结构化报告在临床常规中仍未得到广泛采用。虽然在许多国家,国家放射学会已发起倡议以进一步推广结构化报告,但缺乏报告模板的跨机构应用以及对结构化报告使用的激励措施。美国和欧盟已采取各种立法措施,在欧盟健康数据空间(EHDS)的背景下推广可互操作的数据格式,如快速医疗保健互操作性资源(FHIR),这肯定与结构化报告的未来相关。最后,人工智能和大语言模型的最新进展可能提供创新且高效的方法,将结构化报告更无缝地整合到放射科医生的工作流程中。欧洲放射学会(ESR)将继续致力于推进结构化报告,将其作为实现更具价值的放射学的关键组成部分。结构化报告的实际解决方案需要由供应商提供。政策制定者应激励使用结构化放射学报告,特别是在跨机构环境中。

关键相关性声明

在过去几年中,放射学中结构化报告的益处已得到广泛讨论并达成共识;然而,由于政策制定者应激励使用结构化放射学报告,特别是在跨机构环境中,临床常规中的实施仍很缺乏。

要点

  1. 各国放射学会已为放射学中的结构化报告制定了倡议。

  2. 几乎不存在有利于结构化报告的金钱或结构性激励措施。

  3. 仍未就结构化报告的技术标准达成共识。

  4. 大语言模型的应用可能有助于构建放射学报告。

  5. 政策制定者应激励使用结构化放射学报告。