Imaging‑based models for predicting cerebrovascular complications of carotid stenosis.

Cochrane Database Syst RevSep 9, 2026 (epub)
Clinical ResearchNeurologyRadiology (Diagnostic)

Baobao Li, Xiangrong Du, Yuan Liu et al.

✦ AI-curated · Sources linked

In 30 seconds

This systematic review protocol aims to evaluate multivariable prognostic models using imaging biomarkers to predict cerebrovascular complications in adults with carotid stenosis. The focus is on assessing the models' predictive performance for ipsilateral ischaemic stroke and transient ischaemic attack, with metrics such as discrimination and calibration being compared across studies.

Key findings

  • The review will summarize models' discrimination using C-statistic/AUC and calibration metrics.
  • It will include studies considering retinal ischaemia as a qualifying event for symptomatic carotid stenosis.
  • The review aims to explore predictive performance differences based on imaging modality and technical protocol.

Why it matters

Understanding the predictive performance of imaging-based models can enhance risk stratification for cerebrovascular complications in patients with carotid stenosis, potentially guiding clinical decision-making and management strategies.

Source

PubMed · PMID 42713886

Published in Cochrane Database Syst Rev. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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