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LI-RADS 的实施纳入放射科实践。

Implementation of LI-RADS into a radiological practice.

机构信息

Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada.

Ottawa Hospital Research Institute, Ottawa, Canada.

出版信息

Abdom Radiol (NY). 2018 Jan;43(1):179-184. doi: 10.1007/s00261-017-1219-z.

DOI:10.1007/s00261-017-1219-z
PMID:28634619
Abstract

Since its introduction in 2011, Liver Imaging Reporting and Data System (LI-RADS) has become an increasingly utilized method for radiologists to categorize lesions for hepatocellular carcinoma (HCC) in patients at risk (American College of Radiology, www.acr.org/quality-safety/resources/lirads 2016). This overview article presents insight into methods of incorporating LI-RADS into an existing clinical practice, highlighting concrete ways to establish this system as a mainstay in any radiologist's evidence-based armamentarium. We will focus on the importance of standardization to improve the value of our reporting. We will also discuss specific opportunities to favor adoption of LI-RADS including building a community of users composed of radiologists and referring physicians, forming a strategic vision, enlisting a team leader, overcoming barriers to adoption, communicating successes, integrating the system into the departmental culture, and learning from mistakes. The 2017 version of LI-RADS is the most recent update and is based on the most current medical imaging evidence. The details of these updates are described in other articles in this journal's edition. Efforts should be made to increase adherence and to enhance standardized use of LI-RADS internationally. Ultimately, the objective of LI-RADS is to prioritize patient care and optimize medical outcomes.

摘要

自 2011 年推出以来,肝脏成像报告和数据系统(LI-RADS)已成为放射科医生对高危患者(美国放射学院,www.acr.org/quality-safety/resources/lirads2016)肝癌(HCC)病变进行分类的一种越来越常用的方法。这篇概述文章深入探讨了将 LI-RADS 纳入现有临床实践的方法,重点介绍了将该系统确立为任何放射科医生循证工具的具体方法。我们将重点关注标准化的重要性,以提高报告的价值。我们还将讨论有利于采用 LI-RADS 的具体机会,包括建立由放射科医生和转诊医生组成的用户社区、制定战略愿景、招募团队负责人、克服采用障碍、交流成功经验、将系统融入部门文化以及从错误中学习。LI-RADS 的 2017 版本是最新的更新,基于当前最先进的医学影像学证据。这些更新的详细信息在本期刊版的其他文章中进行了描述。应努力提高国际上的依从性和标准化使用 LI-RADS。最终,LI-RADS 的目标是优先考虑患者护理并优化医疗结果。

相似文献

1
Implementation of LI-RADS into a radiological practice.LI-RADS 的实施纳入放射科实践。
Abdom Radiol (NY). 2018 Jan;43(1):179-184. doi: 10.1007/s00261-017-1219-z.
2
LI-RADS major features: CT, MRI with extracellular agents, and MRI with hepatobiliary agents.LI-RADS 主要特征:CT、MRI 联合细胞外对比剂和 MRI 联合肝胆对比剂。
Abdom Radiol (NY). 2018 Jan;43(1):75-81. doi: 10.1007/s00261-017-1291-4.
3
Diagnostic accuracy of contrast-enhanced ultrasound for the differential diagnosis of hepatocellular carcinoma: ESCULAP versus CEUS-LI-RADS.超声造影对肝细胞癌鉴别诊断的诊断准确性:爱克发与CEUS-LI-RADS对比
Eur J Gastroenterol Hepatol. 2017 Sep;29(9):1036-1044. doi: 10.1097/MEG.0000000000000916.
4
Interobserver and intermodality agreement of standardized algorithms for non-invasive diagnosis of hepatocellular carcinoma in high-risk patients: CEUS-LI-RADS versus MRI-LI-RADS.高危人群肝细胞癌无创诊断标准化算法的观察者间和模态间一致性:CEUS-LI-RADS 与 MRI-LI-RADS。
Eur Radiol. 2018 Oct;28(10):4254-4264. doi: 10.1007/s00330-018-5379-1. Epub 2018 Apr 19.
5
CEUS LI-RADS: algorithm, implementation, and key differences from CT/MRI.CEUS LI-RADS:算法、实施及与 CT/MRI 的主要差异。
Abdom Radiol (NY). 2018 Jan;43(1):127-142. doi: 10.1007/s00261-017-1250-0.
6
LI-RADS algorithm: CT and MRI.LI-RADS 算法:CT 和 MRI。
Abdom Radiol (NY). 2018 Jan;43(1):111-126. doi: 10.1007/s00261-017-1228-y.
7
LI-RADS categories: concepts, definitions, and criteria.LI-RADS 类别:概念、定义和标准。
Abdom Radiol (NY). 2018 Jan;43(1):101-110. doi: 10.1007/s00261-017-1334-x.
8
Hepatocarcinogenesis and LI-RADS.肝癌发生和 LI-RADS。
Abdom Radiol (NY). 2018 Jan;43(1):158-168. doi: 10.1007/s00261-017-1409-8.
9
LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma.LI-RADS M(LR-M):明确或可能为恶性肿瘤,不能特异诊断为肝细胞癌。
Abdom Radiol (NY). 2018 Jan;43(1):149-157. doi: 10.1007/s00261-017-1196-2.
10
LI-RADS-CEUS - Proposal for a Contrast-Enhanced Ultrasound Algorithm for the Diagnosis of Hepatocellular Carcinoma in High-Risk Populations.肝脏影像报告和数据系统-超声造影 - 关于高危人群肝细胞癌诊断的超声造影算法提案
Ultraschall Med. 2016 Dec;37(6):627-634. doi: 10.1055/s-0042-112221. Epub 2016 Aug 3.

引用本文的文献

1
Lessons learned: strategies for implementing and the ongoing use of LI-RADS in your practice.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。
Abdom Radiol (NY). 2025 May;50(5):2053-2065. doi: 10.1007/s00261-024-04643-8. Epub 2024 Oct 23.
2
Supervised Machine Learning in Oncology: A Clinician's Guide.肿瘤学中的监督式机器学习:临床医生指南
Dig Dis Interv. 2020 Mar;4(1):73-81. doi: 10.1055/s-0040-1705097.
3
Factors Associated With Delay of Diagnosis of Hepatocellular Carcinoma in Patients With Cirrhosis.与肝硬化患者肝细胞癌诊断延迟相关的因素。
Clin Gastroenterol Hepatol. 2021 Aug;19(8):1679-1687. doi: 10.1016/j.cgh.2020.07.026. Epub 2020 Jul 18.