Evidence map›Paper›PMID 40385874›Full record

ArticleCureus2025

Multimodality Imaging and Management of a Giant Vertebral Artery Pseudoaneurysm: A Case Report and Review of Literature.

Arvindh Sekaran, Pauline Gronczewska, Nathan Chan

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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

3 authors.

Arvindh SekaranInternal Medicine, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, GBR.
Pauline GronczewskaGeneral Medicine, West Suffolk Hospital, West Suffolk NHS Foundation Trust, Bury St Edmunds, GBR.
Nathan ChanInterventional Neuroradiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertebral artery pseudoaneurysms (VAPAs) are rare but life-threatening lesions that present significant diagnostic and therapeutic challenges. Often resulting from trauma, infection, or iatrogenic injury, VAPAs can lead to severe morbidity due to their risk of rupture. This case report highlights a delayed diagnosis of VAPA in a male patient in his sixties presenting with recurrent falls, dysarthria, and bilateral limb paresthesia. Despite initial magnetic resonance imaging (MRI) findings suggestive of a nerve sheath tumor, subsequent computed tomography angiography (CTA) revealed a giant, partially thrombosed right VAPA. Advanced imaging techniques such as MRI and CTA were critical in accurately diagnosing this pseudoaneurysm. While MRI provided detailed soft tissue contrast, its interpretation was challenging. CTA offered clearer delineation of vascular structures, enabling better diagnostic accuracy and treatment planning. The patient underwent successful endovascular treatment with balloon test occlusion (BTO) and coiling, resulting in aneurysm occlusion while preserving the posterior circulation. Follow-up MRI, magnetic resonance angiography (MRA), and CTA confirmed stability post-procedure. This case underscores the importance of multimodal imaging for the accurate diagnosis of VAPAs. Additionally, it highlights the utility of endovascular approaches, including vessel sacrifice and coiling, in managing giant VAPAs. Tailored treatment strategies, based on vascular anatomy and collateral circulation, remain critical to optimizing patient outcomes.

Indexed as

balloon test occlusioncomputed tomography angiographymagnetic resonance imagingneurointerventional radiologyvertebral artery pseudoaneurysmvessel sacrifice

Identifiers

PMID40385874
PMCPMC12085775

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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.