Evidence map›Paper›PMID 39608373›Full record

ReviewKorean journal of radiology2024

LI-RADS: Current Status and Future Directions.

Sang Hyun Choi, Kathryn J Fowler, Victoria Chernyak, Claude B Sirlin

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. LI-RADS CT/MRI Treatment Response Assessment Update in 2024.Journal of the Korean Society of Radiology · 2025
    Review
  9. 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

4 authors.

Sang Hyun ChoiDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-6898-6617
Kathryn J FowlerLiver Imaging Group, Department of Radiology, UC San Diego, San Diego, CA, USA.ORCID 0000-0001-9188-1701
Victoria ChernyakDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-5715-1403
Claude B SirlinLiver Imaging Group, Department of Radiology, UC San Diego, San Diego, CA, USA. csirlin@ucsd.edu.ORCID 0000-0002-6639-9072

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Fatty liver disease and its determinants in an American Indian Population: the Strong Heart StudyR01DK110096 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2016 to 2018
$2.3M
Accurate Point of Care Liver Disease DiagnosticsR43DK135225 · NIDDK · LIVIVOS INC. · PI PRADO, PABLO J, SIRLIN, CLAUDE B · 2022 to 2022
$300k
Qualification of Composite Quantitative Imaging Biomarkers for Diagnostic Enrichment in Nonalcoholic Steatohepatitis (NASH) Clinical Trials (DDTBMQ000112)U01FD007773 · FDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MIDDLETON, MICHAEL S · 2022 to 2022
$250k
FDA HHS U01 FD007773NCI NIH HHS P30 CA008748NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01 DK110096NIDDK NIH HHS R43 DK135225NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01 DK130190
6 · The paper itself

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system that uses standardized terminology, technique, interpretation, and reporting of imaging studies for hepatocellular carcinoma surveillance, diagnosis, and locoregional treatment response assessment. Since its initial release in 2011, LI-RADS has evolved and expanded in scope. In this article, we discuss recent updates intended to address clinical needs and mitigate current challenges.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiology Information SystemsHumansMagnetic Resonance ImagingTomography, X-Ray ComputedDiagnosisHepatocellular carcinomaLiver Imaging Reporting and Data SystemStandardization

Identifiers

PMID39608373
PMCPMC11604338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.