Authors

Muhammed Amir Essibayi
Mohamed Sobhi Jabal
Hasan Jamil
Hamza Adel Salim
Basel Musmar
Nimer Adeeb
Mahmoud Dibas
Nicole M. Cancelliere
Jose Danilo Bengzon Diestro
Oktay Algin
Sherief Ghozy
Sovann V. Lay
Adrien Guenego
Leonardo Renieri
Joseph Carnevale
Guillaume Saliou
Panagiotis Mastorakos, Thomas Jefferson University HospitalFollow
Kareem El Naamani, Thomas Jefferson University HospitalFollow
Arbaz A. Momin, Thomas Jefferson University HospitalFollow
Eimad Shotar
Markus Möhlenbruch
Michael Kral
Charlotte Chung
Mohamed M. Salem
Ivan Lylyk
Paul M. Foreman
Hamza Shaikh
Vedran Župančić
Muhammad U. Hafeez
Joshua Catapano
Muhammad Waqas
Muhammed Said Besler
Yasin Celal Gunes
James D. Rabinov
Julian Maingard
Clemens M. Schirmer
Mariangela Piano
Anna L. Kühn
Caterina Michelozzi
Robert M. Starke
Ameer Hassan
Mark Ogilvie
Anh Nguyen
Jesse Jones
Waleed Brinjikji
Marie T. Nawka
Marios Psychogios
Christian Ulfert
Bryan Pukenas
Jan-Karl Burkhardt
Thien Huynh
Juan Carlos Martinez-Gutierrez
Sunil A. Sheth
Diana Slawski
Rabih Tawk
Benjamin Pulli
Boris Lubicz
Pietro Panni
Ajit S. Puri
Guglielmo Pero
Eytan Raz
Christoph J. Griessenauer
Hamed Asadi
Adnan Siddiqui
Elad I. Levy
Deepak Khatri
Neil Haranhalli
Andrew F. Ducruet
Felipe C. Albuquerque
Robert W. Regenhardt
Christopher J. Stapleton
Peter Kan
Vladimir Kalousek
Pedro Lylyk
Srikanth Boddu
Jared Knopman
Stavropoula I. Tjoumakaris, Thomas Jefferson University HospitalFollow
Hugo H. Cuellar-Saenz
Pascal M. Jabbour, Thomas Jefferson University HospitalFollow
Frédéric Clarençon
Nicola Limbucci
Vitor Mendes Pereira
Aman B. Patel
David J Altschul
Adam A. Dmytriw
WorldWideWEB Consortium Collaborators

Document Type

Article

Publication Date

12-2-2025

Comments

This article is the author's final published version in Neurosurgical Review, Volume 49, 2026, Article number 36.

The published version is available at https://doi.org/10.1007/s10143-025-03928-w. Copyright © The Author(s) 2025.

Abstract

The Woven EndoBridge (WEB) device treats wide-necked bifurcation aneurysms, but occlusion rates vary. This study aims to identify factors associated with immediate WEB device occlusion. Data from patients treated with WEB devices across 36 sites were analyzed. Machine learning algorithms and ordinal regression models were developed to predict immediate incomplete occlusion for ruptured and unruptured aneurysms. The study included 1565 patients, with 436 ruptured and 1129 unruptured aneurysms. Immediate complete occlusion was achieved in 38.3% of ruptured and 32.8% of unruptured aneurysms. For ruptured aneurysms, the CatBoost classifier achieved an AUROC of 0.69. Key predictors of incomplete occlusion included pretreatment mRS, aneurysm diameter, and MCA location. Ordinal regression revealed that smoking history (OR: 1.95, p <  0.001), neck diameter (Odds Ratio [OR]: 1.50, p <  0.001), and presence of a branch from the aneurysm (OR: 2.06, p = 0.016) were associated with incomplete, while bifurcation aneurysms (OR: 0.55, p = 0.017) were associated with complete immediate occlusion. For unruptured aneurysms, the CatBoost classifier achieved an AUROC of 0.68. Significant predictors of immediate incomplete occlusion included aneurysm neck width, MCA location, and presence of daughter sac. Ordinal regression revealed that smoking history (OR: 1.29, p = 0.032), neck diameter (OR: 1.24, p <  0.001), and presence of a daughter sac (OR: 1.53, p = 0.005) were associated with incomplete, while bifurcation aneurysms (OR: 0.71, p = 0.02) and posterior circulation location (OR: 0.68, p = 0.01) were associated with complete immediate occlusion. Careful evaluation of patient demographics and specific aneurysm characteristics may help improve the outcomes of intracranial aneurysms treated with WEB device.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Language

English

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