Evidence map›Paper›PMID 34356135›Full record

ArticleBrain sciences2021

Optimal Woven EndoBridge (WEB) Device Size Selection Using Automated Volumetric Software.

Sameer Ansari, Cynthia B Zevallos, Mudassir Farooqui, Andres Dajles, Sebastian Schafer, Darko Quispe-Orozco, Alan Mendez-Ruiz, Samir Abdelkarim, Sudeepta Dandapat, Santiago Ortega-Gutierrez

Abstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Quantitative radial force measurements of Woven EndoBridge devices.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026
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  8. Review
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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

10 authors.

Sameer AnsariDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Cynthia B ZevallosDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Mudassir FarooquiDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.ORCID 0000-0003-3697-5697
Andres DajlesDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Sebastian SchaferSiemens Healthcare, Imaging and Therapy Systems, 91301 Forchheim, Germany.
Darko Quispe-OrozcoDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Alan Mendez-RuizDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Samir AbdelkarimDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Sudeepta DandapatDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Santiago Ortega-GutierrezDepartment of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Medical Scientist Training ProgramT32GM139776 · NIGMS · UNIVERSITY OF IOWA · PI Gordon F Buchanan · 2021 to 2026
$6.4M
NIGMS NIH HHS T32 GM007337NIGMS NIH HHS T32 GM139776
6 · The paper itself

Abstract

introductionSelecting the appropriate Woven EndoBridge (WEB) device sizing for the treatment of wide-neck bifurcation aneurysms (WNBAs) remains challenging. The aim of this study was to evaluate different volumetric-based imaging methodologies to predict an accurate WEB device size selection to result in a successful implantation.

methodsAll consecutive patients treated with WEB devices for intracranial aneurysms from January 2019 to June 2020 were included. Aneurysm dimensions to calculate aneurysm volumes were measured using three different modalities: automated three-dimensional (3D) digital subtraction angiography (DSA), manual 3D DSA, and two-dimensional (2D) DSA. The device-aneurysm volume (DAV) ratio was defined as device volume divided by the aneurysm volume. WEB volumes and the DAV ratios were used for assessing the device implantation success and follow-up angiographic outcomes at six months. Pearson correlation, Wilcoxon Rank Sum test, and density approximations were used for estimating the WEB volumes and the imaging modality volumes for successful implantation.

resultsA total of 41 patients with 43 aneurysms were included in the study. WEB device and aneurysm volume correlation coefficient was highest for 3D automatic (r = 0.943), followed by 3D manual (r = 0.919), and 2D DSA (r = 0.882) measurements. Measured median volumes were significantly different for 3D automatic and 2D DSA (

conclusionPre-procedural assessment of DAV ratios may increase WEB device implantation success. Our results suggest that volumetric measurements, especially using automated 3D volumes of the aneurysms, can assist in accurate WEB device size selection.

Indexed as

aneurysmembolizationendovascularWEB deviceWoven EndoBridge

Identifiers

PMID34356135
PMCPMC8307121

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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.