Evidence map›Paper›PMID 37362356›Full record

ArticleThe Indian journal of radiology & imaging2023

Multimodality Imaging Appearance of Intrapericardial Paragangliomas.

Diana Palacio, Maria Del Pilar Gutierrez, Gokhan Kuyumcu, Benjamin Rounseville, Volodymyr Shponka, Sonia Betancourt

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of radiology & imaging, 2023. 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, top 81% of its field
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, 0 citations in OpenAlex.

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 at 3 institutions in 2 countries.

Diana PalacioDepartment of Medical Imaging, The University of Arizona College of Medicine, Tucson, Arizona, United States.
Maria Del Pilar GutierrezDepartment of Radiology, Universidad de Antioquia-Facultad de Medicina, Tucson, Arizona, United States.
Gokhan KuyumcuDepartment of Medical Imaging, The University of Arizona College of Medicine, Tucson, Arizona, United States.
Benjamin RounsevilleDepartment of Medical Imaging, The University of Arizona College of Medicine, Tucson, Arizona, United States.
Volodymyr ShponkaDepartment of Pathology, The University of Arizona College of Medicine, Tucson, Arizona, United States.
Sonia BetancourtDepartment of Radiology, The University of Texas MD Anderson Cancer Center, Tucson, Arizona, United States.
University of Arizona · USThe University of Texas MD Anderson Cancer Center · USThieme Medical Publishers (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paragangliomas are neuroendocrine tumors of the sympathetic and parasympathetic nervous system that originate from neural crest cells. Less than 1% of paragangliomas are found in the heart, originating from intrinsic cardiac ganglia cells in the posterior wall the atria, atrioventricular groove, and along the root of the great vessels. A 10-year review of our institution's database identified nine patients who had documented intrapericardial paragangliomas. We describe the multimodality imaging appearance of these tumors. The most common findings include embedment and wrapping around the great vessels and atrioventricular groove within the confines of the pericardium, markedly avid heterogeneous enhancement, distinct engorged neovascularization, and in large lesions, central low attenuation areas compatible with hemorrhage, necrosis, or cystic degeneration.

Indexed as

chest imagingintrapericardial paragangliomasmultidetector computed tomography

Identifiers

PMID37362356
PMCPMC10289850
OpenAlexW4381805623

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.