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Volume-based sizing of the Woven EndoBridge (WEB) device: A preliminary assessment of a novel method for device size selection.
- Source :
-
Interventional Neuroradiology . Aug2021, Vol. 27 Issue 4, p473-480. 8p. - Publication Year :
- 2021
-
Abstract
- Introduction: Accurate sizing of the Woven EndoBridge (WEB) device is of critical importance as it determines procedural safety and successful occlusion of wide neck bifurcation aneurysms. The aim of this study was to assess the ability of aneurysm volume to assist in accurate WEB size selection. Methods: All patients with an intracranial aneurysm treated with the WEB SL or WEB SLS device between March 2019 and October 2019 were identified for this retrospective study. Aneurysm volumes were calculated with auto-segmentation using a three-dimensional volume rendering program on an independent Syngo workstation (Siemens Healthineers AG). Pearson correlation coefficients were calculated for aneurysm auto-segmented volumes and WEB volumes, as well as for aneurysm height × width and WEB height × width. Follow-up angiographic outcomes were collected at 6–9 months post-procedure. Results: Twenty-nine aneurysms were evaluated by 3D rotational angiography. The correlation coefficient with WEB size was larger for auto-segmented aneurysm volumes (r = 0.979) compared to height × width measurements (r = 0.867). Using Fisher r-to-z transformations, we found the difference between the two correlations to be statistically significant (p = 0.0007). Follow-up angiography available in 13 subjects demonstrated an 85% complete aneurysm occlusion rate. Conclusion: Aneurysm volumes are highly correlated with WEB volumes, with auto-segmentation volumes displaying statistically significant difference against conventional height by width measurements. These results suggest that volumetric measurements of aneurysm size provide a useful adjuvant measure to assist in appropriate size selection of the WEB device. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15910199
- Volume :
- 27
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Interventional Neuroradiology
- Publication Type :
- Academic Journal
- Accession number :
- 152167530
- Full Text :
- https://doi.org/10.1177/1591019920987685