Machine Learning for Predicting Thromboembolic Events Following Flow Diverter Treatment of Intracranial Aneurysms: A Multicenter Retrospective Study.

ABSTRACT:

Introduction

Flow diverters (FD) have gradually become the preferred treatment option for complex and large intracranial aneurysms. Postoperative thromboembolic events (TEEs) are among the most common complications associated with endovascular treatment. However, widely applicable predictive tools for the occurrence of TEEs are currently lacking.

Methods

This retrospective study included clinical data from 377 patients (a total of 451 aneurysms) treated with flow diverters at two neurointerventional centers between June 2018 and September 2022. Thirty-nine baseline patient characteristics were included as clinical variables. The primary endpoint was the occurrence of postoperative ischemic events. The dataset was randomly divided into a training set (80%) and a testing set (

SUBMITTER: Lin Y 

PROVIDER: S-EPMC12450181 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature