Evidence map›Paper›PMID 42118275›Full record

ReviewAbdominal radiology (New York)2026

From common to rare: imaging spectrum of gastric malignancies.

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. 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.
Linda C ChuThe 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

Multidetector CT has improved the detection, diagnosis, and characterization of gastric malignancies, and as well as the evaluation of distant metastases. Gastric malignancies range from common types such as adenocarcinoma, lymphoma, and GISTs to rare types such as neuroendocrine tumors, liposarcoma, leiomyosarcoma, plasmacytoma, and metastases from other cancers. CT is often the preferred modality for their assessment. These tumors can appear as a single lesion, multifocal involvement, or diffuse wall thickening, and they often have overlapping imaging features, making diagnosis challenging. This pictorial review presents the CT findings of these malignancies to help radiologists understand the differential diagnosis, recognize early CT patterns, and guide appropriate management.

Indexed as

Multidetector Computed TomographyStomach NeoplasmsTomography, X-Ray ComputedDiagnosis, DifferentialHumansAdenocarcinomaGastrointestinal stromal tumorsLiposarcomaLymphomaMultidetector computed tomographyNeoplasm metastasisNeuroendocrine tumorsStomach neoplasms

Identifiers

PMID42118275

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.