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April 27, 2026Meta-RadiologyOpen Access

Deep Learning–Based CT Perfusion-Derived CT Angiography for Enhanced Vascular and Thrombus Evaluation in Acute Ischemic Stroke

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Authors

JWJianyong WeiYJYidong JinXWXiaoer Wei

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Overview

Retrospective trial evaluates vascular and thrombus assessment in acute ischemic stroke using advanced imaging techniques.

Key Points

  • This research aims to assess the diagnostic performance of deep learning-based CT perfusion-derived CT angiography for evaluating vascular conditions in acute ischemic stroke.
  • Retrospective study of 288 patients undergoing CTP and CTA examinations.
  • CTPA images were reconstructed using a deep learning framework and assessed by independent radiologists.
  • Diagnostic performance was compared to digital subtraction angiography using AUC and regression models.
  • CTPA achieved superior accuracy for ≥70% stenosis (AUC = 0.98 vs 0.94, p = 0.006) and occlusion (AUC = 0.97 vs 0.94, p = 0.013).
  • CTPA showed higher thrombus attenuation and longer thrombus length, negatively correlated with collateral score and stroke etiology.
  • No significant difference in subjective quality of images, but a trend favoring conventional CTA was noted (p = 0.082).

Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/69eefcaefede9185760d39cdhttps://doi.org/10.1016/j.metrad.2026.100221
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Also Consider

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  1. 1The study of computed tomography angiography in the evaluation of acute stroke2024
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  3. 3Preliminary findings on diagnostic performance of computed tomography perfusion images for intracranial arterial stenosis: a retrospective study2024 · 1 citations
  4. 4Systematic comparison of perfusion‐CT and CT‐angiography in acute stroke patients2007 · 391 citations
  5. 5Effectiveness of computed tomography perfusion imaging in stroke management2024 · 1 citations