Evidence map›Paper›PMID 41095747›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Cosmic Signs in Radiology: A Pictorial Review.

Yara Jabbour, Raquelle El Alam, Sara Amro, Mutaz Kassas, Youssef Ghosn, Reve Chahine, Mihran Khdhir, Lara Nassar

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. 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

8 authors.

Yara JabbourDepartment of Diagnostic Radiology, American University of Beirut Medical Center, Beirut 1107-2020, Lebanon.ORCID 0000-0003-1101-1795
Raquelle El AlamDepartment of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Sara AmroFaculty of Medicine, American University of Beirut, Beirut 1107-2020, Lebanon.
Mutaz KassasFaculty of Medicine, Jules Bordet Institute, 1 Rue Héger Bordet, 1000 Brussels, Belgium.ORCID 0000-0002-7056-1749
Youssef GhosnDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Reve ChahineDepartment of Radiology, University of Michigan Health System, 1500 E. Medical Center Dr., Ann Arbor, MI 48103, USA.
Mihran KhdhirDepartment of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, CT 06510, USA.
Lara NassarDepartment of Diagnostic Radiology, American University of Beirut Medical Center, Beirut 1107-2020, Lebanon.ORCID 0000-0002-4076-2224

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Pattern recognition remains a cornerstone of radiologic interpretation, as it facilitates a confident and comprehensive differential diagnosis. Certain pathologies present with specific and highly recognizable patterns on imaging modalities. These patterns can resemble familiar real-life phenomena, including cosmic bodies that surround us. We present in this article a compilation of radiologic signs across various modalities that take inspiration from cosmic phenomena. For each sign, we summarize its defining imaging appearance, typical clinical context, and common pitfalls; where available, we note diagnostic performance (e.g., sensitivity/specificity) to guide appropriate weighting in practice. By coupling memorable imagery with succinct clinical guidance, this pictorial review aims to support a faster, more accurate pattern recognition that is applicable in both low-resource and tertiary care settings, while recognizing that these signs function as educational aids rather than validated diagnostic tests. In familiarizing themselves with these classic signs, training radiologists can benefit from an engaging and memorable way of recognizing various pathological conditions.

Indexed as

cosmic signspattern recognitionradiographic image interpretationradiological signsradiologic diagnosisradiology interpretation

Identifiers

PMID41095747
PMCPMC12523247

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.