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LI-RADS: Looking Back, Looking Forward
Victoria Chernyak1, Kathryn J Fowler1, Richard K G Do1
1From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.C., R.K.G.D.); Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, Calif (K.J.F., C.S.S., C.B.S.); Department of Radiology, Stanford University Medical Center, Stanford, Calif (A.K.); Department of Medicine and Radiology, University of California, San Diego, San Diego, Calif (Y.K.); Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, Canada (A.T.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (D.G.M.); and Department of Radiology, Yale Medical School, New Haven, Conn (J.W.).
The Liver Imaging Reporting and Data System (LI-RADS) has significantly advanced since 2011, becoming a comprehensive tool for diagnosing liver cancer. Future developments aim to enhance its accuracy and integrate advanced technologies for better patient outcomes.
Area of Science:
- Radiology
- Oncology
- Medical Informatics
Background:
- The Liver Imaging Reporting and Data System (LI-RADS) was initially developed for hepatocellular carcinoma (HCC) diagnosis using CT/MRI.
- LI-RADS has since expanded to encompass multiple imaging modalities and reporting contexts.
- It has established a dedicated lexicon, report templates, and supplementary materials.
Purpose of the Study:
- To review the 11-year evolution and achievements of the LI-RADS system.
- To identify current knowledge gaps and challenges in LI-RADS application.
- To outline future directions for LI-RADS development.
Main Methods:
- Review of LI-RADS development and implementation over 11 years.
- Analysis of clinical adoption, research impact, and diagnostic system unification.
- Identification of challenges in surveillance, diagnosis, reporting, and treatment assessment.
Main Results:
- Global adoption of LI-RADS in clinical practice and research.
- Unification of HCC diagnostic systems in the United States.
- Identified challenges including diagnostic complexity, sensitivity limitations, and reporting difficulties.
Conclusions:
- LI-RADS has achieved significant milestones in liver cancer diagnosis and reporting.
- Addressing current challenges is crucial for optimizing LI-RADS utility.
- Future LI-RADS versions will likely be probability-based, integrating diverse data for enhanced diagnosis and prognostication.
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