An Chansik, Rakhmonova Gulbahor, Choi Jin-Young, Kim Myeong-Jin
Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.
Department of Oncology and Radiology, Tashkent Medical Academy, Tashkent, Uzbekistan.
Clin Mol Hepatol. 2016 Jun;22(2):296-307. doi: 10.3350/cmh.2016.0028.
Liver Imaging Reporting and Data System (LI-RADS) is a system for interpreting and reporting of computed tomography and magnetic resonance imaging of the liver in patients at risk for hepatocellular carcinoma (HCC). LI-RADS has been developed to address the limitations of prior imaging-based criteria including the lack of established consensus regarding the exact definitions of imaging features, binary categorization (either definite or not definite HCC), and failure to consider non-HCC malignancies. One of the most important goals of LI-RADS is to facilitate clear communication between all the personnel involved in the diagnosis and treatment of HCC, such as radiologists, hepatologists, surgeons, and pathologists. Therefore, clinicians should also be familiar with LI-RADS. This article reviews the LI-RADS diagnostic algorithm, and the definitions and management implications of LI-RADS categories.
肝脏影像报告和数据系统（LI-RADS）是一种用于对肝细胞癌（HCC）高危患者的肝脏进行计算机断层扫描和磁共振成像解读及报告的系统。LI-RADS的开发旨在解决先前基于影像的标准的局限性，包括对影像特征的确切定义缺乏既定共识、二元分类（即明确或不明确为HCC）以及未考虑非HCC恶性肿瘤。LI-RADS的最重要目标之一是促进参与HCC诊断和治疗的所有人员之间的清晰沟通，如放射科医生、肝病学家、外科医生和病理学家。因此，临床医生也应熟悉LI-RADS。本文回顾了LI-RADS诊断算法以及LI-RADS分类的定义和管理意义。
