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

doi:10.3390/brainsci11070901

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

Journal article

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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 and Santiago Ortega-Gutierrez

Brain sciences, Vol.11(7), p.901

07/01/2021

DOI: 10.3390/brainsci11070901

PMCID: PMC8307121

PMID: 34356135

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Abstract

Introduction: Selecting 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. Methods: All 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. Results: A 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 ( p = 0.017). The highest rate of successful implantation (87.5%) was between 0.6 and 0.8 DAV ratio. Conclusion: Pre-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.

aneurysm

embolization

endovascular

WEB device

Woven EndoBridge

Details

Title: Subtitle: Optimal Woven EndoBridge (WEB) Device Size Selection Using Automated Volumetric Software
Creators: Sameer Ansari - Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
Cynthia B Zevallos - University of Iowa, Neurology
Mudassir Farooqui - University of Iowa, Neurology
Andres Dajles - Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
Sebastian Schafer - Siemens Healthcare, Imaging and Therapy Systems, 91301 Forchheim, Germany
Darko Quispe-Orozco - University of Iowa, Neurology
Alan Mendez-Ruiz - University of Iowa, Neurology
Samir Abdelkarim - University of Iowa, Neurology
Sudeepta Dandapat - University of Iowa, Neurology
Santiago Ortega-Gutierrez - University of Iowa, Radiology
Resource Type: Journal article
Publication Details: Brain sciences, Vol.11(7), p.901
DOI: 10.3390/brainsci11070901
PMID: 34356135
PMCID: PMC8307121
NLM abbreviation: Brain Sci
ISSN: 2076-3425
eISSN: 2076-3425
Publisher: MDPI
Language: English
Date published: 07/01/2021
Academic Unit: Neurology; Radiology; Iowa Neuroscience Institute; Neurosurgery
Record Identifier: 9984129299802771

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