Imaging after liver-directed therapy: evidenced-based update of the LI-RADS treatment response algorithm

Marisa Martin, Anum Aslam, Eman Mubarak, Cate Hofley, Kayli Lala, S. Arora, D. Madoff, Elainea N. Smith, D. Owen, A. Gabr, Charles Y. Kim, N. Parikh, Erica B. Stein, Benjamin M. Mervak, Kimberly Shampain, M. Mendiratta-Lala
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Abstract

There are multiple liver-directed treatment options for hepatocellular carcinoma (HCC), which provide curative intent, help patients achieve remission, and/or provide a bridge to transplant by controlling local tumor progression and downstaging patients. After locoregional therapy (LRT), management of these patients, including liver transplant candidacy, is guided by treatment response assessment. The Liver Imaging Reporting and Data Systems (LI-RADS) treatment response algorithm (TRA) was created to provide a standardized assessment of HCC following LRT. Originally created primarily on expert opinion, subsequent literature has continued to evaluate the validity of this algorithm. In this manuscript, we review emerging literature supporting the use of LI-RADS in the assessment of HCC treatment response after LRT and highlight future updates.
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肝脏定向治疗后的影像学:基于证据的LI-RADS治疗反应算法更新
肝细胞癌(HCC)有多种肝脏定向治疗选择,这些治疗方案提供了治疗目的,帮助患者实现缓解,和/或通过控制局部肿瘤进展和降低患者分期为移植提供桥梁。在局部治疗(LRT)后,这些患者的管理,包括肝移植候选,以治疗反应评估为指导。肝成像报告和数据系统(LI-RADS)治疗反应算法(TRA)的创建是为了提供LRT后HCC的标准化评估。最初主要是根据专家意见创建的,随后的文献继续评估该算法的有效性。在本文中,我们回顾了支持使用LI-RADS评估LRT后HCC治疗反应的新兴文献,并强调了未来的更新。
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