Suppr超能文献

经验教训:在实践中实施和持续使用肝脏影像报告和数据系统(LI-RADS)的策略。

Lessons learned: strategies for implementing and the ongoing use of LI-RADS in your practice.

作者信息

Ismail Mohammed, Lalani Tasneem, Kielar Ania, Hong Cheng, Yacoub Joseph, Lim Christopher, Surabhi Venkateswar, Shanbhogue Krishna, Nandwana Sadhna, Liu Xiaoyang, Santillan Cynthia, Bashir Mustafa R, Lee James

机构信息

The Ohio State University, Columbus, USA.

The Ohio State University Wexner Medical Center, Columbus, USA.

出版信息

Abdom Radiol (NY). 2025 May;50(5):2053-2065. doi: 10.1007/s00261-024-04643-8. Epub 2024 Oct 23.

Abstract

The establishment of the Liver Imaging Reporting and Data System (LI-RADS) in 2011 provided a comprehensive approach to standardized imaging, interpretation, and reporting of liver observations in patients diagnosed with or at risk for hepatocellular carcinoma (HCC). Each set of algorithms provides criteria pertinent to the various components of HCC management including surveillance, diagnosis, staging, and treatment response supported by a detailed lexicon of terms applicable to a wide range of liver imaging scenarios. Before its widespread adoption, the variability in the terminology of diagnostic criteria and definitions of imaging features led to significant challenges in patient management and made it difficult to replicate findings or apply them consistently. The integration of LI-RADS into the clinical setting has enhanced the efficiency and clarity of communication between radiologists, referring providers, and patients by employing a uniform language that averts miscommunications. LI-RADS has been strengthened with its integration into the American Association for Study of Liver Diseases practice guidelines. We will provide the background on the initial development of LI-RADS and reasons for development to serve as a starting point for conveying the system's benefits and evolution over the years. We will also suggest strategies for the implementation and maintenance of a LI-RADS program will be discussed.

摘要

2011年肝脏影像报告和数据系统(LI-RADS)的建立,为诊断为肝细胞癌(HCC)或有HCC风险的患者的肝脏观察结果提供了一种标准化成像、解读及报告的综合方法。每组算法都提供了与HCC管理各个环节相关的标准,包括监测、诊断、分期和治疗反应,并辅以适用于广泛肝脏成像情况的详细术语词典。在其广泛应用之前,诊断标准术语和成像特征定义的差异给患者管理带来了重大挑战,使得重复研究结果或一致应用这些结果变得困难。通过采用避免沟通错误的统一语言,将LI-RADS整合到临床环境中提高了放射科医生、转诊医生和患者之间沟通的效率和清晰度。LI-RADS通过整合到美国肝病研究协会的实践指南中得到了强化。我们将介绍LI-RADS最初的开发背景和开发原因,作为阐述该系统多年来的益处和演变的起点。我们还将讨论LI-RADS项目的实施和维护策略。

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