CT presentations of hepatic lymphoma: what radiologists need to know.

Hajra Arshad, Satomi Kawamoto, Elliot K Fishman

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

3 authors.

Hajra ArshadThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA. harshad1@jh.edu.

Satomi KawamotoThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.

Elliot K FishmanThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic lymphomas are rare malignancies that are classified as either primary hepatic lymphoma (PHL) or secondary hepatic lymphoma (SHL). They can present with several CT patterns, including a solid focal lesion, multifocal lesions, a diffuse pattern, or a porta hepatis lesion. PHLs most often present as solid lesions, whereas SHLs are commonly multifocal. On CT, they typically appear as hypovascular, hypoattenuating masses that may show central low-density necrosis and demonstrate only minimal enhancement compared to the surrounding parenchyma. Rim enhancement may be seen, creating a "target sign." These lesions often exhibit an infiltrative growth pattern, encasing vessels, and biliary structures without causing compression. Although rare, it is important to include lymphoma in the differential diagnosis of a hypodense liver lesion. This pictorial essay illustrates the CT patterns and features of hepatic lymphoma that will assist radiologists in evaluating it as a possible diagnosis.

Indexed as

Liver NeoplasmsLymphomaTomography, X-Ray ComputedContrast MediaDiagnosis, DifferentialHumansContrast MediaComputed tomographyLymphomaPrimary hepatic lymphomaSecondary hepatic lymphoma

Identifiers

PMID41642288

DOI10.1259/bjr.20160879

What OpenQuestion holds

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Registered trials

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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.