%0 Journal Article
%T Creation of a predictive calculator to determine adequacy of occlusion of the woven endobridge (WEB) device in intracranial aneurysms-A retrospective analysis of the WorldWide WEB Consortium database.
%A Musmar B
%A Adeeb N
%A Gendreau J
%A Horowitz MA
%A Salim HA
%A Sanmugananthan P
%A Aslan A
%A Brown NJ
%A Cancelliere NM
%A McLellan RM
%A Algin O
%A Ghozy S
%A Dibas M
%A Orscelik A
%A Senol YC
%A Lay SV
%A Guenego A
%A Renieri L
%A Carnevale J
%A Saliou G
%A Mastorakos P
%A El Naamani K
%A Shotar E
%A Premat K
%A Möhlenbruch M
%A Kral M
%A Doron O
%A Chung C
%A Salem MM
%A Lylyk I
%A Foreman PM
%A Vachhani JA
%A Shaikh H
%A Župančić V
%A Hafeez MU
%A Catapano J
%A Waqas M
%A Tutino VM
%A Gokhan Y
%A Imamoglu C
%A Bayrak A
%A Rabinov JD
%A Ren Y
%A Schirmer CM
%A Piano M
%A Kühn AL
%A Michelozzi C
%A Elens S
%A Starke RM
%A Hassan AE
%A Ogilvie M
%A Nguyen A
%A Jones J
%A Brinjikji W
%A Nawka MT
%A Psychogios M
%A Ulfert C
%A Bengzon Diestro JD
%A Pukenas B
%A Burkhardt JK
%A Huynh T
%A Martinez-Gutierrez JC
%A Essibayi MA
%A Sheth SA
%A Spiegel G
%A Tawk R
%A Lubicz B
%A Panni P
%A Puri AS
%A Pero G
%A Nossek E
%A Raz E
%A Killer-Oberfalzer M
%A Griessenauer CJ
%A Asadi H
%A Siddiqui A
%A Brook AL
%A Altschul D
%A Ducruet AF
%A Albuquerque FC
%A Regenhardt RW
%A Stapleton CJ
%A Kan P
%A Kalousek V
%A Lylyk P
%A Boddu S
%A Knopman J
%A Aziz-Sultan MA
%A Tjoumakaris SI
%A Clarençon F
%A Limbucci N
%A Bydon M
%A Hasan D
%A Cuellar-Saenz HH
%A Jabbour PM
%A Pereira VM
%A Patel AB
%A Dmytriw AA
%J Interv Neuroradiol
%V 0
%N 0
%D 2024 Aug 10
%M 39127463
%F 1.764
%R 10.1177/15910199241267320
%X <B>BACKGROUND: </B>Endovascular treatment with the woven endobridge (WEB) device has been widely utilized for managing intracranial aneurysms. However, predicting the probability of achieving adequate occlusion (Raymond-Roy classification 1 or 2) remains challenging.<BR><B>OBJECTIVE: </B>Our study sought to develop and validate a predictive calculator for adequate occlusion using the WEB device via data from a large multi-institutional retrospective cohort.<BR><B>METHODS: </B>We used data from the WorldWide WEB Consortium, encompassing 356 patients from 30 centers across North America, South America, and Europe. Bivariate and multivariate regression analyses were performed on a variety of demographic and clinical factors, from which predictive factors were selected. Calibration and validation were conducted, with variance inflation factor (VIF) parameters checked for collinearity.<BR><B>RESULTS: </B>A total of 356 patients were included: 124 (34.8%) were male, 108 (30.3%) were elderly (≥65 years), and 118 (33.1%) were current smokers. Mean maximum aneurysm diameter was 7.09 mm (SD 2.71), with 112 (31.5%) having a daughter sac. In the multivariate regression, increasing aneurysm neck size (OR 0.706 [95% CI: 0.535-0.929], p = 0.13) and partial aneurysm thrombosis (OR 0.135 [95% CI: 0.024-0.681], p = 0.016) were found to be the only statistically significant variables associated with poorer likelihood of achieving occlusion. The predictive calculator shows a c-statistic of 0.744. Hosmer-Lemeshow goodness-of-fit test indicated a satisfactory model fit with a p-value of 0.431. The calculator is available at: https://neurodx.shinyapps.io/WEBDEVICE/.<BR><B>CONCLUSIONS: </B>The predictive calculator offers a substantial contribution to the clinical toolkit for estimating the likelihood of adequate intracranial aneurysm occlusion by WEB device embolization.