Evidence map›Paper›PMID 39438286›Full record

ReviewAbdominal radiology (New York)2025

Lessons learned: strategies for implementing and the ongoing use of LI-RADS in your practice.

Mohammed Ismail, Tasneem Lalani, Ania Kielar, Cheng Hong, Joseph Yacoub, Christopher Lim, Venkateswar Surabhi, Krishna Shanbhogue, Sadhna Nandwana, Xiaoyang Liu and 3 more

Abstract readReview
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Mohammed IsmailThe Ohio State University, Columbus, USA. maismail09@gmail.com.
Tasneem LalaniUniversity of Massachusetts Chan Medical School, Worcester, USA.
Ania KielarUniversity of Toronto, Toronto, Canada.
Cheng HongUniversity of California San Francisco Medical Center, San Francisco, USA.
Joseph YacoubMedStar Georgetown University Hospital, Washington D.C., USA.
Christopher LimUniversity of Toronto, Toronto, Canada.
Venkateswar SurabhiThe University of Texas MD Anderson Cancer Center, Houston, USA.
Krishna ShanbhogueNew York University Langone Medical Center, New York, USA.
Sadhna NandwanaEmory University, Atlanta, USA.
Xiaoyang LiuUniversity of Toronto, Toronto, Canada.
Cynthia SantillanUniversity of California, San Diego, San Diego, USA.
Mustafa R BashirDuke Medical Center, Durham, USA.
James LeeUniversity of Kentucky, Lexington, USA. jtlee3@uky.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment of the Liver Imaging Reporting and Data System (LI-RADS) in 2011 provided a comprehensive approach to standardized imaging, interpretation, and reporting of liver observations in patients diagnosed with or at risk for hepatocellular carcinoma (HCC). Each set of algorithms provides criteria pertinent to the various components of HCC management including surveillance, diagnosis, staging, and treatment response supported by a detailed lexicon of terms applicable to a wide range of liver imaging scenarios. Before its widespread adoption, the variability in the terminology of diagnostic criteria and definitions of imaging features led to significant challenges in patient management and made it difficult to replicate findings or apply them consistently. The integration of LI-RADS into the clinical setting has enhanced the efficiency and clarity of communication between radiologists, referring providers, and patients by employing a uniform language that averts miscommunications. LI-RADS has been strengthened with its integration into the American Association for Study of Liver Diseases practice guidelines. We will provide the background on the initial development of LI-RADS and reasons for development to serve as a starting point for conveying the system's benefits and evolution over the years. We will also suggest strategies for the implementation and maintenance of a LI-RADS program will be discussed.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiology Information SystemsAlgorithmsHumansACRHCCLIRADSLiver

Identifiers

PMID39438286
PMCPMC11991978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.