Evidence map›Paper›PMID 41323232›Full record

ReviewFrontiers in ophthalmology2025

Orbital masses: a review of CT imaging characteristics.

Eran Levanon, Gahl Greenberg, Yael Lustig-Barzelay, Daphna Landau-Prat, Guy J Ben Simon

Abstract readReview
In one paragraph

Review in Frontiers in ophthalmology, 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

5 authors.

Eran Levanon *Orbital Ophthalmic Plastic and Lacrimal Surgery Institute, Sheba Medical Center, Ramat Gan, Israel.
Gahl Greenberg *Diagnostic Imaging Department, Neuroradiology Unit, Sheba Medical Center, Ramat Gan, Israel.
Yael Lustig-BarzelayOrbital Ophthalmic Plastic and Lacrimal Surgery Institute, Sheba Medical Center, Ramat Gan, Israel.
Daphna Landau-PratOrbital Ophthalmic Plastic and Lacrimal Surgery Institute, Sheba Medical Center, Ramat Gan, Israel.
Guy J Ben SimonOrbital Ophthalmic Plastic and Lacrimal Surgery Institute, Sheba Medical Center, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orbital masses include a diverse spectrum of benign, malignant, inflammatory, and vascular lesions in pediatric and adult patients. Accurately diagnosing the type of lesion is critical, as management strategies differ significantly. Advanced imaging is therefore essential, and computed tomography (CT) is central to orbital evaluation. We reviewed the literature to synthesize evidence on CT features across common orbital pathologies and correlated imaging with clinical presentation to emphasize diagnostic relevance. CT characteristics are summarized for vascular lesions (cavernous venous malformation, lymphatic malformation), inflammatory conditions (orbital myositis, dacryoadenitis), benign lesions (dermoid cyst, pleomorphic adenoma), and malignant lesions (lacrimal gland lymphoma, adenoid cystic carcinoma, rhabdomyosarcoma). We present characteristic patterns of location, morphology, enhancement, and bone change, with practical discriminators and common pitfalls to aid differentiation. When used alongside clinical context, CT remains a preferred modality in many clinical settings due to its rapid acquisition, wide availability, and reliable depiction of bone and calcifications. It supports accurate diagnosis and informed management decisions in time-critical settings. This review provides a structured reference for interpreting CT findings across a wide range of orbital disease.

Indexed as

computed tomographydermoid cystimaging featureslacrimal gland tumormyositisorbital massespleomorphic adenomavascular malformation

Identifiers

PMID41323232
PMCPMC12660082

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.