Development and validation of a web-based dynamic nomogram to predict individualized risk of severe carotid artery stenosis based on digital subtract angiography

Development and validation of a web-based dynamic nomogram to predict individualized risk of severe carotid artery stenosis based on digital subtract angiography

ObjectivesDelays in diagnosing severe carotid artery stenosis (CAS) are prevalent, particularly in low-income regions with limited access to imaging examinations. CAS is a major contributor to the recurrence and poor prognosis of ischemic stroke (IS). This retrospective cohort study proposed a non-i...

Full description

Saved in:
Bibliographic Details
Main Authors: Jian Huang, Zhuoran Li, Xiaozhu Liu, Lirong Kuang, Shengxian Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Neurology
Subjects:
non-invasive
big data
web-based
individualized prediction model
carotid artery stenosis
ischemic stroke
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1565395/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2025.1565395/full

Similar Items