LI-RADS: Looking back, looking forward Review
| Authors: | Chernyak, V.; Fowler, K. J.; Do, R. K. G.; Kamaya, A.; Kono, Y.; Tang, A.; Mitchell, D. G.; Weinreb, J.; Santillan, C. S.; Sirlin, C. B. |
| Review Title: | LI-RADS: Looking back, looking forward |
| Abstract: | Since its initial release in 2011, the Liver Imaging Reporting and Data System (LI-RADS) has evolved and expanded in scope. It started as a single algorithm for hepatocellular carcinoma (HCC) diagnosis with CT or MRI with extracellular contrast agents and has grown into a multialgorithm network covering all major liver imaging modalities and contexts of use. Furthermore, it has developed its own lexicon, report templates, and supplementary materials. This article highlights the major achievements of LI-RADS in the past 11 years, including adoption in clinical care and research across the globe, and complete unification of HCC diagnostic systems in the United States. Additionally, the authors discuss current gaps in knowledge, which include challenges in surveillance, diagnostic population definition, perceived complexity, limited sensitivity of LR-5 (definite HCC) category, management implications of indeterminate observations, challenges in reporting, and treatment response assessment following radiation-based therapies and systemic treatments. Finally, the authors discuss future directions, which will focus on mitigating the current challenges and incorporating advanced technologies. Tha authors envision that LI-RADS will ultimately transform into a probabilitybased system for diagnosis and prognostication of liver cancers that will integrate patient characteristics and quantitative imaging features, while accounting for imaging modality and contrast agent. © RSNA, 2023. |
| Keywords: | treatment response; retrospective studies; review; liver cell carcinoma; systemic therapy; carcinoma, hepatocellular; liver neoplasms; united states; cancer radiotherapy; nuclear magnetic resonance imaging; outcome assessment; magnetic resonance imaging; cancer diagnosis; sensitivity and specificity; computer assisted tomography; patient monitoring; pathology; retrospective study; algorithm; probability; quantitative analysis; liver tumor; clinical research; contrast medium; contrast media; medical care; contrast-enhanced ultrasound; procedures; cancer prognosis; humans; human; mitigation; liver imaging reporting and data system; knowledge gap |
| Journal Title: | Radiology |
| Volume: | 307 |
| Issue: | 1 |
| ISSN: | 0033-8419 |
| Publisher: | Radiological Society of North America, Inc. |
| Date Published: | 2023-04-01 |
| Start Page: | e222801 |
| Language: | English |
| DOI: | 10.1148/radiol.222801 |
| PUBMED: | 36853182 |
| PROVIDER: | scopus |
| PMCID: | PMC10068888 |
| DOI/URL: | |
| Notes: | Review -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Victoria Chernyak -- Export Date: 1 May 2023 -- Source: Scopus |
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