Pictorial review of the LI-RADS radiation-based treatment response algorithm v2024.

Maria El Homsi, Amita Kamath, Jennifer J Huang, Serkan Guneyli, Mishal Mendiratta-Lala, Carla Harmath

Abstract readReview

In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Maria El HomsiMemorial Sloan Kettering Cancer Center, New York, USA. elhomsim@mskcc.org.

Amita KamathIcahn School of Medicine at Mount Sinai, New York, USA.

Jennifer J HuangVanderbilt University Medical Center, Nashville, USA.

Serkan GuneyliMemorial Sloan Kettering Cancer Center, New York, USA.

Mishal Mendiratta-LalaUniversity of Michigan-Ann Arbor, Ann Arbor, USA.

Carla HarmathUniversity of Chicago, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma can be treated with liver transplantation, surgical resection, or locoregional therapy. Locoregional therapy encompasses a broad range of therapeutic options, including non-radiation- and radiation-based options. The assessment of treatment response following radiation-based options is often challenging as imaging findings following these therapies evolve over time. In response to this challenge, and with advancements in knowledge of the expected imaging findings following locoregional therapy, the Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm was updated in 2024 by the American College of Radiology Treatment Response Working Group. The 2024 version was separated into two distinct algorithms, reflecting the differences in the expected imaging findings following non-radiation- and radiation-based options. This article presents a pictorial review of the expected and unexpected imaging appearance of hepatocellular carcinoma following treatment with radiation-based locoregional therapy options using the LI-RADS treatment response algorithm v2024.

Indexed as

Hepatocellular carcinomaLocoregional therapyRadiationStereotactic body radiotherapyTransarterial radioembolizationTreatment responseY-90

Identifiers

PMID42176006

DOI10.1148/rg.220084

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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.