Evidence map›Paper›PMID 42720891›Full record

ArticleEmergency radiology2026

Subarachnoid contrast staining not attributable to endovascular therapy.

Saumya Gurbani, Joshua Volin, Taylor Smith, Aline Camargo, Jaydevsinh Dolia, Ranliang Hu, Dan Cohen-Addad

Abstract read
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Article in Emergency radiology, 2026. 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
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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.

Saumya GurbaniDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA. sgurban@emory.edu.ORCID http://orcid.org/0000-0003-3524-3726
Joshua VolinDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Taylor SmithDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Aline CamargoDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Jaydevsinh DoliaDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Emory University, Atlanta, GA, USA.
Ranliang HuDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Dan Cohen-AddadDivision of Neuroradiology, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast staining within the brain refers to the leakage of iodinated contrast material through a disrupted blood-brain barrier, often in the setting of ischemia and endovascular intervention, which can mimic hemorrhage. While commonly seen within the parenchyma, it can be seen in the subarachnoid space especially after endovascular intervention. In the absence of endovascular intervention, subarachnoid hyperdensities on CT are typically presumed to be hemorrhage. However, in rare causes of trauma and stroke, subarachnoid contrast staining can be seen even in the absence of intervention. In this pictorial review, we present cases of patients with subarachnoid hyperdensities on CT which were subsequently confirmed to represent subarachnoid contrast staining. Awareness of this rare phenomenon is important for radiologists, particularly in the emergency setting, as it can have important clinical management and follow-up implications.

Indexed as

Contrast MediaExtravasation of Diagnostic and Therapeutic MaterialsSubarachnoid HemorrhageSubarachnoid SpaceTomography, X-Ray ComputedDiagnosis, DifferentialEndovascular ProceduresHumansMaleContrast MediaContrast stainingDual energy CTNeuroradiologySubarachnoid hemorrhageTrauma

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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 OpenQuestion graph.