Evidence map›Paper›PMID 41405721›Full record

ReviewNeuroradiology2026

Ependymal enhancement on MRI: imaging patterns and diagnostic algorithms - a pictorial essay.

João Gonçalves, Alexandra Rodrigues, Ricardo Pires, Roberto Carranca, Carla Conceição, Rita Marques, Bruno Cunha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2026. 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

7 authors.

João GonçalvesNeuroradiology Department, Unidade Local de Saúde São José, Lisbon, Portugal. joao.gonc94@gmail.com.
Alexandra RodriguesNeuroradiology Department, Unidade Local de Saúde São José, Lisbon, Portugal.
Ricardo PiresFunctional Unit of Neuroradiology, Department of Medical Imaging, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Roberto CarrancaNeuroradiology Department, Unidade Local de Saúde São José, Lisbon, Portugal.
Carla ConceiçãoNeuroradiology Department, Unidade Local de Saúde São José, Lisbon, Portugal.
Rita MarquesNeuroradiology Department, Unidade Local de Saúde São José, Lisbon, Portugal.
Bruno CunhaNeuroradiology Department, Unidade Local de Saúde Braga, Braga, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpendymal enhancement is an uncommon but diagnostically challenging MRI finding with a wide range of aetiologies. PURPOSE: This pictorial essay presents an algorithmic approach to its differential diagnosis.

resultsWe categorize the ependymal enhancement into three main etiologic groups: infectious disorders, non-infectious inflammatory disorders and tumors, highlighting specific demographic, clinical, and imaging findings that are crucial for diagnosis. We provide two diagnostic algorithms according to the patient's immune status, since it is paramount in determining the differential diagnosis. For immunosuppressed patients, the workflow focuses on the enhancement pattern (linear, band-like or nodular appearances) and the presence of concomitant intra-axial masses, directing the differential toward entities such as toxoplasmosis or lymphoma. For immunocompetent patients, the diagnostic pathway relies on clinical history and lesion characteristics to distinguish infectious, inflammatory, and neoplastic causes, further refined by the presence or absence of an intra-axial mass.

conclusionThese diagnostic algorithms may help neuroradiologists structure the differential diagnosis and improve clinical decision-making.

Indexed as

AlgorithmsBrain DiseasesMagnetic Resonance ImagingDiagnosis, DifferentialHumansEnhancementEpendymalImmunocompetenceImmunosuppressionInfectionInflammationMRIPatternsTumor

Identifiers

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.