Evidence map›Paper›PMID 38607438›Full record

ArticleNeuroradiology2024

Vein of Galen aneurysmal malformation: does size affect outcome?

Costanza Parodi, Margherita Aluffi Valletti, Domenico Tortora, Silvia Buratti, Marisa Mallamaci, Giulia Tuo, Angela Pistorio, Andrea Moscatelli, Andrea Rossi, Mariasavina Severino and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2024. 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, top 91% of its field
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, 0 citations in OpenAlex.

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

11 authors at 2 institutions in 1 country.

Costanza Parodi *Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genoa, Italy.ORCID http://orcid.org/0000-0002-4069-7792
Margherita Aluffi Valletti *School of Medicine, University of Genoa, Genoa, Italy.ORCID http://orcid.org/0009-0003-0340-8554
Domenico TortoraNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genoa, Italy.ORCID http://orcid.org/0000-0002-5621-4046
Silvia BurattiNeonatal and Pediatric Intensive Care Unit and Emergency Department, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID http://orcid.org/0000-0003-4896-4071
Marisa MallamaciNeonatal and Pediatric Intensive Care Unit and Emergency Department, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID http://orcid.org/0000-0003-4364-7122
Giulia TuoPediatric Cardiology and Cardiac Surgery Unit, Surgery Department, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID http://orcid.org/0000-0002-9684-2901
Angela PistorioBiostatistics Unit, Scientific Direction, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID http://orcid.org/0000-0002-6895-8720
Andrea MoscatelliNeonatal and Pediatric Intensive Care Unit and Emergency Department, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID http://orcid.org/0000-0002-7839-317X
Andrea RossiNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genoa, Italy. andrearossi@gaslini.org.ORCID http://orcid.org/0000-0001-8575-700X
Mariasavina SeverinoNeuroradiology Unit, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genoa, Italy.ORCID http://orcid.org/0000-0003-4730-5322
I. G. G. VGAM Team
Istituto Giannina Gaslini · ITUniversity of Genoa · IT

Funding

Ministero della Salute Ricerca Corrente sui Disordini Neurologici e Muscolari - Neuroscienze (Linea 4)
6 · The paper itself

Abstract

purposeTo validate a semiautomated method for segmenting vein of Galen aneurysmal malformations (VGAM) and to assess the relationship between VGAM volume and other angioarchitectural features, cardiological findings, and outcomes.

methodsIn this retrospective study, we selected all subjects with VGAM admitted to the Gaslini Children's Hospital between 2009 and 2022. Clinical data were retrieved from electronic charts. We compared 3D-Slicer segmented VGAM volumes obtained by two independent observers using phase-contrast MR venography to those obtained with manual measurements performed on T2-weighted images. The relationship between VGAM volumes and clinical and neuroimaging features was then explored.

resultsForty-three subjects with VGAM (22 males, mean age 6.56 days) were included in the study. Manual and semiautomated VGAM volumes were well correlated for both readers (r = 0.86 and 0.82, respectively). Regarding reproducibility, the inter-rater interclass correlation coefficients were 0.885 for the manual method and 0.992 for the semiautomated method (p < 0.001). The standard error for repeated measures was lower for the semiautomated method (0.04 versus 0.40 of manual method). Higher VGAM volume was associated with superior sagittal sinus narrowing, jugular bulb stenosis, and aqueductal stenosis (p < 0.05). A weak correlation was found between VGAM volume and straight sinus dilatation (r = 0.331) and superior sagittal sinus index (r =  - 0.325). No significant associations were found with cardiac findings, post-embolization complications, and outcome (p > 0.05).

conclusionsSemiautomated VGAM volumetry is feasible and reliable with improved reproducibility compared to the manual method. VGAM volume is not a prognostic factor for clinical outcome, but it is related to other venous findings with potential hemodynamic effects.

Indexed as

Magnetic Resonance AngiographyVein of Galen MalformationsCerebral VeinsFemaleHumansImaging, Three-DimensionalInfantInfant, NewbornMaleReproducibility of ResultsRetrospective StudiesOutcomePhase-contrast MR venographySemiautomated segmentationVein of Galen aneurysmal malformationVolume

Identifiers

PMID38607438
PMCPMC11133167
OpenAlexW4394757775

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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.