Evidence map›Paper›PMID 39594162›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Cardiac Computed Tomography as a Method of Diagnosing the Type of Cardiac Tumor-Example of Interatrial Septal Lipoma Filling the Right Atrium.

Paweł Gać, Arkadiusz Jaworski, Agnieszka Parfianowicz, Alicja Surma, Anna Jakubowska-Martyniuk, Aleksandra Żórawik, Rafał Poręba

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

7 authors.

Paweł GaćCentre for Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland.ORCID 0000-0001-8366-0239
Arkadiusz JaworskiCentre for Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland.
Agnieszka ParfianowiczCentre for Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland.
Alicja SurmaCentre for Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland.
Anna Jakubowska-MartyniukDepartment of Environmental Health, Occupational Medicine and Epidemiology, Wroclaw Medical University, 50-367 Wroclaw, Poland.
Aleksandra ŻórawikDepartment of Environmental Health, Occupational Medicine and Epidemiology, Wroclaw Medical University, 50-367 Wroclaw, Poland.
Rafał PorębaCentre for Diagnostic Imaging, 4th Military Hospital, 50-981 Wroclaw, Poland.

Funding

Wroclaw Medical University SUBZ.E264.24.033
6 · The paper itself

Abstract

Cardiac tumors present substantial diagnostic challenges due to their diverse manifestations and similarity to other cardiac pathologies. Cardiac lipomas are rare tumors that originate from adipose cells and can develop in any location within the heart. Cardiac lipomas account for 2.4% of all primary cardiac tumors. Most lipomas are located within the cardiac chambers. Among the lipomas occurring within the cardiac chambers, the most common localization is the right atrium. Currently, the gold standard for imaging cardiac tumors is cardiac magnetic resonance (CMR). Despite the significant advantages of CMR, cardiac computed tomography angiography (CCTA) continues to be a valuable technique when CMR is either unavailable or contraindicated. In some cardiac tumors, CCTA can identify the type of tumor. A classic example of this type is a lipoma. We present images of a large interatrial septal lipoma filling the right atrium diagnosed by CCTA in a 57-year-old female Caucasian patient. In summary, CCTA effectively identifies lipomas' characteristic features and provides crucial information for appropriate management.

Indexed as

cardiac computed tomography angiographycardiac tumorlipomaright atrium

Identifiers

PMID39594162
PMCPMC11593167

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.