Evidence map›Paper›PMID 37233747›Full record

ArticleAbdominal radiology (New York)2023

The adoption of LI-RADS: a survey of non-academic radiologists.

Robert M Marks, Alice Fung, Irene Cruite, Kasina Blevins, Tasneem Lalani, Natally Horvat, Zenon Protopapas, Humaira Chaudhry, Bijan Bijan, Masoud Shiehmorteza and 2 more

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In one paragraph

Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. International perspectives on LI-RADS.Abdominal radiology (New York) · 2025
    Review
  7. Optimizing US for HCC surveillance.Abdominal radiology (New York) · 2025
    Review
  8. Review
  9. LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  10. 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

12 authors at 10 institutions in 2 countries.

Robert M MarksDepartment of Radiology, Naval Medical Center San Diego, 34800 Bob Wilson Dr. Suite 204, San Diego, CA, 92134, USA. rmarks@health.ucsd.edu.ORCID http://orcid.org/0000-0002-1463-718X
Alice FungDepartment of Radiology, Oregon Health & Science University, Portland, OR, USA.
Irene CruiteInland Imaging, Spokane, WA, USA.
Kasina BlevinsRadiology Partners Houston, Houston, TX, USA.
Tasneem LalaniDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, USA.
Natally HorvatDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-8849-5789
Zenon ProtopapasNew Haven Radiology Associates, New Haven, CT, USA.
Humaira ChaudhryDepartment of Radiology, Rutgers New Jersey Medical School, Newark, NJ, USA.ORCID http://orcid.org/0000-0002-3371-2632
Bijan BijanSutter Medical Group Sacramento, Sacramento, USA.
Masoud ShiehmortezaDepartment of Radiology, University of New Mexico, Albuquerque, NM, USA.
Pankaj NepalDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6400-8915
An TangDepartment of Radiology, Centre Hospitalier de L'Université de Montréal (CHUM), Montreal, QC, Canada.ORCID http://orcid.org/0000-0001-8967-5503
Radiology Associates · USCentre Hospitalier de l’Université de Montréal · CAMassachusetts General Hospital · USMemorial Sloan Kettering Cancer Center · USNaval Medical Center San Diego · USOregon Health & Science University · USRutgers, The State University of New Jersey · USSutter Medical Center · USUniversity of Massachusetts Chan Medical School · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo understand the practice and determinants of non-academic radiologists regarding LI-RADS and the four current LI-RADS algorithms: CT/MRI, contrast-enhanced ultrasound (CEUS), ultrasound (US), and CT/MRI Treatment Response. MATERIALS AND

methodsSeven themes were covered in this international survey, as follows: (1) demographics of participants and sub-specialty, (2) HCC practice and interpretation, (3) reporting practice, (4) screening and surveillance, (5) HCC imaging diagnosis, (6) treatment response, and (7) CT and MRI technique.

resultsOf the 232 participants, 69.4% were from the United States, 25.0% from Canada, and 5.6% from other countries and 45.9% were abdominal/body imagers. During their radiology training or fellowship, no formal HCC diagnostic system was used by 48.7% and LI-RADS was used by 44.4% of participants. In their current practice, 73.6% used LI-RADS, 24.7% no formal system, 6.5% UNOS-OPTN, and 1.3% AASLD. Barriers to LI-RADS adoption included lack of familiarity (25.1%), not used by referring clinicians (21.6%), perceived complexity (14.5%), and personal preference (5.3%). The US LI-RADS algorithm was used routinely by 9.9% of respondents and CEUS LI-RADS was used by 3.9% of the respondents. The LI-RADS treatment response algorithm was used by 43.5% of the respondents. 60.9% of respondents thought that webinars/workshops on LI-RADS Technical Recommendations would help them implement these recommendations in their practice.

conclusionA majority of the non-academic radiologists surveyed use the LI-RADS CT/MR algorithm for HCC diagnosis, while nearly half use the LI-RADS TR algorithm for assessment of treatment response. Less than 10% of the participants routinely use the LI-RADS US and CEUS algorithms.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaHumansMagnetic Resonance ImagingRadiologistsRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedContrast MediaClinical practiceDiagnosisHepatocellular carcinoma (HCC)ImagingLI-RADSStandardization

Identifiers

PMID37233747
OpenAlexW4378349325

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.