ArticleRadiographics : a review publication of the Radiological Society of North America, Inc
How to Use LI-RADS to Report Liver CT and MRI Observations.
Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Baseline CT imaging features combined with clinical indicators predict prognosis in unresectable HCC treated with HAIC plus targeted therapy and immunotherapy.Abdominal radiology (New York) · 2026Article
- Review
- Accuracy and reproducibility of large language model measurements of liver metastases: comparison with radiologist measurements.Japanese journal of radiology · 2026Article
- A Case Report of an Inflammatory Hepatocellular Adenoma Mimicking Hepatocellular Carcinoma in a Patient with Alcoholic Cirrhosis.Current medical imaging · 2026Article
- Knowledge, attitudes and current practices regarding LI-RADSSA journal of radiology · 2026Article
- MR Elastography for Classification of Focal Liver Lesions Using Viscoelastic Parameters: A Pilot Study Based on Intrinsic and Extrinsic Activations.Journal of magnetic resonance imaging : JMRI · 2025Article
- Benign and malignant focal liver lesions displaying rim arterial phase hyperenhancement on CT and MRI.Insights into imaging · 2024Review
- Article
- ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language.Frontiers in radiology · 2024Article
- A Post-International Gastrointestinal Cancers' Conference (IGICC) Position Statements.Journal of hepatocellular carcinoma · 2024Article
- Diagnosis of hepatocellular carcinoma using Sonazoid: a comprehensive review.Journal of liver cancer · 2023Article
- A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls.Diagnostics (Basel, Switzerland) · 2022Review
- The LELEX initiative to enhance cancer imaging communication: development of a consensus-based structured reporting template and lexicon for general oncologic imaging.Radiologia brasileiraArticle
- Liver stiffness assessed by elastography for the evaluation of hepatocellular carcinoma risk in patients with fibrosis: a systematic review and meta-analysis.Radiologia brasileiraArticle
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12 authors.
Funding
Abstract
Primary liver cancer is the fourth leading cause of cancer-related deaths worldwide, with hepatocellular carcinoma (HCC) comprising the vast majority of primary liver malignancies. Imaging plays a central role in HCC diagnosis and management. As a result, the content and structure of radiology reports are of utmost importance in guiding clinical management. The Liver Imaging Reporting and Data System (LI-RADS) provides guidance for standardized reporting of liver observations in patients who are at risk for HCC. LI-RADS standardized reporting intends to inform patient treatment and facilitate multidisciplinary communication and decisions, taking into consideration individual clinical factors. Depending on the context, observations may be reported individually, in aggregate, or as a combination of both. LI-RADS provides two templates for reporting liver observations: in a single continuous paragraph or in a structured format with keywords and imaging findings. The authors clarify terminology that is pertinent to reporting, highlight the benefits of structured reports, discuss the applicability of LI-RADS for liver CT and MRI, review the elements of a standardized LI-RADS report, provide guidance on the description of LI-RADS observations exemplified with two case-based reporting templates, illustrate relevant imaging findings and components to be included when reporting specific clinical scenarios, and discuss future directions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.