Evidence map›Paper›PMID 41801372›Full record

ReviewAbdominal radiology (New York)2026

CT of benign polypoid gastric masses: pearls, pitfalls & differential diagnosis.

Hajra Arshad, Linda C Chu, Elliot K Fishman

Abstract readReview
PubMed Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Hajra ArshadRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA. harshad1@jh.edu.
Linda C ChuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, USA.
Elliot K FishmanRussell 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

Any discrete protruding lesion in the stomach seen on endoscopy or imaging can be described as a 'polypoid' lesion. Polypoid lesions may represent simple benign gastric polyps that originate from the epithelium, or they may represent benign gastric masses including glomus tumor, lipoma, leiomyoma, schwannoma, gastric antral vascular ectasia (GAVE), and heterotopic pancreas. Glomus tumors are generally hypervascular solitary lesions found in the antrum. Lipomas are well-circumscribed, low-attenuation lesions composed of adipose tissue. Leiomyomas are well-circumscribed, hypodense lesions commonly found in the cardia. Schwannomas are rare, well-defined tumors that may show progressive enhancement. Heterotopic pancreas is a developmental anomaly that appears as a polypoid lesion, commonly in the antrum. GAVE appears as thickened antral folds that may mimic polypoid lesions. While benign epithelial polyps are the most common and are usually diagnosed and treated endoscopically, polypoid benign tumors are less common, often overlooked on imaging, and can mimic malignancy or be mistaken for simple polyps. This pictorial review highlights the characteristic CT appearances of these benign polypoid lesions, also shown in the visual abstract, and their differentiation from malignant mimics to help radiologists improve diagnosis and guide appropriate management.

Indexed as

PolypsStomach DiseasesStomach NeoplasmsTomography, X-Ray ComputedDiagnosis, DifferentialGlomus TumorHumansLeiomyomaLipomaComputed tomographyGastric antral vascular ectasiaGlomus tumorHeterotopic pancreasLeiomyomaLipomaSchwannomaStomach

Identifiers

PMID41801372

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.