Evidence map›Paper›PMID 42670434›Full record

ReviewCureus2026

Liver Imaging Reporting and Data System (LI-RADS): A Comprehensive Review.

Tripti Prajapati, Rahul Dev, Udit Chauhan, Rahul Kumar

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

4 authors.

Tripti PrajapatiDiagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Rahul DevDiagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Udit ChauhanDiagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Rahul KumarSurgical Oncology, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a clinically significant primary liver malignancy that predominantly occurs in patients with cirrhosis and chronic liver disease. Early detection and accurate, non-invasive diagnosis are critical for improving survival outcomes, guiding therapeutic decision-making, and determining eligibility for liver transplantation. Imaging plays a central role in this process and frequently allows definitive diagnosis without the need for biopsy. The Liver Imaging Reporting and Data System (LI-RADS), developed by the American College of Radiology (ACR), was created to standardize liver imaging acquisition, interpretation, categorization, and reporting in populations at risk for HCC. Since its introduction, LI-RADS has evolved to encompass ultrasound surveillance, contrast-enhanced ultrasound, multiphase computed tomography, magnetic resonance imaging, and treatment response assessment algorithms, including nonradiation and radiation-based therapies. This narrative review provides a comprehensive overview of LI-RADS, encompassing its evolution and the latest developments in its diagnostic, surveillance, and treatment response algorithms.

Indexed as

contrast-enhanced ultrasoundcthepatocellular carcinomali-radsliver imaging reporting and data systemmriultrasound surveillance

Identifiers

PMID42670434
PMCPMC13526276

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.