Evidence map›Paper›PMID 39699666›Full record

ReviewAbdominal radiology (New York)2025

International perspectives on LI-RADS.

Andrea S Kierans, Diego A Aguirre, Sonal Krishan, Jeong Min Lee, Maxime Ronot, Jin Wang, Elizabeth M Hecht

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Andrea S KieransWeill Cornell Medicine, New York City, USA. ank9134@med.cornell.edu.
Diego A AguirreFundación Santa Fe de Bogotá, Bogotá, Colombia.
Sonal KrishanMedanta The Medicity, Gurgaon, India.
Jeong Min LeeSeoul National University Hospital, Seoul, Republic of Korea.
Maxime RonotBeaujon Hospital, Clichy, France.
Jin WangThird Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Elizabeth M HechtWeill Cornell Medicine, New York City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the crucial role of imaging in HCC diagnosis, LI-RADS CT/MRI was developed to standardize the imaging interpretation and reporting of HCC in patients at risk for HCC and categorize hepatic observations on an ordinal scale according to the likelihood of HCC. LI-RADS has since been expanded to include 5 algorithms: LI-RADS US Surveillance, contrast-enhanced US (CEUS) LI-RADS, LI-RADS CT/MRI, and LI-RADS Treatment Response Assessment. LI-RADS has been adopted broadly in North America, however with less ubiquitous adoption outside of North America. Further elucidation of the perceived strengths and weakness of the LI-RADS algorithm, as it pertains to various geographic regions, will continue to inform a future system that may be more readily adopted globally. Therefore, the aim of this article is to summarize HCC risk factors and imaging guidelines in select geographically disparate regions, and to solicit feedback from liver imaging experts on the limitations and barriers to adoption of LI-RADS algorithms in their patient populations.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMagnetic Resonance ImagingTomography, X-Ray ComputedAlgorithmsContrast MediaHumansRisk FactorsContrast MediaHCCHepatocellular carcinomaLI-RADSLI-RADS CT/MRILI-RADS International Working GroupLI-RADS treatment responseLI-RADS US surveillance

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.