Evidence map›Paper›PMID 36776575›Full record

ArticleFrontiers in neurology2022

Diagnostic performance of dynamic 3D magnetic resonance angiography in daily practice for the detection of intracranial arteriovenous shunts in patients with non-traumatic intracranial hemorrhage.

Arnaud Roumi, Wagih Ben Hassen, Ghazi Hmeydia, Sacha Posener, Johan Pallud, Tarek Sharshar, David Calvet, Jean-Louis Mas, Jean-Claude Baron, Catherine Oppenheim and 2 more

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Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

12 authors.

Arnaud RoumiNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Wagih Ben HassenNeuroradiology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Ghazi HmeydiaNeuroradiology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Sacha PosenerNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Johan PalludNeurosurgery Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Tarek SharsharNeuro-Intensive Care Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
David CalvetNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Jean-Louis MasNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Jean-Claude BaronNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Catherine OppenheimNeuroradiology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Olivier NaggaraNeuroradiology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.
Guillaume TurcNeurology Department, GHU Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, FHU Neurovasc, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Identification of treatable causes of intracranial hemorrhage (ICH) such as intracranial arteriovenous shunt is crucial to prevent recurrence. However, diagnostic approaches vary considerably across centers, partly because of limited knowledge of the diagnostic performance of first-line vascular imaging techniques. We assessed the diagnostic performance of dynamic three-dimensional magnetic resonance angiography (dynamic 3D MRA) in daily practice to detect intracranial arteriovenous shunts in ICH patients against subsequent digital subtraction angiography (DSA) as reference standard. Methods: We reviewed all adult patients who underwent first-line dynamic 3D MRA and subsequent DSA for non-traumatic ICH between January 2016 and September 2021 in a tertiary center. Sensitivity, specificity, accuracy, positive and negative predictive values of dynamic 3D MRA for the detection of intracranial arteriovenous shunt were calculated with DSA as reference standard. Results: Among 104 included patients, 29 (27.9%) had a DSA-confirmed arteriovenous shunt [19 pial arteriovenous malformations, 10 dural arteriovenous fistulae; median onset-to-DSA: 17 (IQR: 3-88) days]. The sensitivity and specificity of dynamic 3D MRA [median onset-to-dynamic 3D MRA: 14 (3-101) h] for the detection of intracranial arteriovenous shunt were 66% (95% CI: 48-83) and 91% (95% CI: 84-97), respectively. The corresponding accuracy, positive and negative predictive values were 84% (95% CI: 77-91), 73% (95% CI: 56-90), and 87% (95% CI: 80-95), respectively. Conclusion: This study suggests that although first-line evaluation with dynamic 3D MRA may be helpful for the detection of intracranial arteriovenous shunts in patients with ICH, additional vascular imaging work-up should not be withheld if dynamic 3D MRA is negative. Comparative prospective studies are needed to determine the best imaging strategy to diagnose arteriovenous shunts after non-traumatic ICH.

Indexed as

accuracyarteriovenous shuntdigital subtraction angiographydynamic magnetic resonance angiographyintracerebral hemorrhagesensitivityspecificityvascular malformation

Identifiers

PMID36776575
PMCPMC9911434

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