Fawaz AlOtaibi: Can AI Replace Contrast CTA for Vascular Screening?
Fawaz AlOtaibi, Neurocardiology and Cerebrovascular Fellow at Western University, shared a post on LinkedIn about a recent article by Jiahao Liao et al., published in International Journal of Stroke, adding:
”No dye, no second scan, just AI reading your vessels.
A new multicenter study (Int J Stroke) trained a deep learning model on approximately 3,700 patients to generate synthetic CTA images directly from plain non-contrast CT. No contrast dye, no additional scan, and no contrast-related risk.
The results: clinicians rated image quality 4.45 out of 5, with consistent performance across four external hospitals. When reading the AI-generated images blindly, they achieved 92.7 percent accuracy in distinguishing diseased from normal arteries, and around 91 percent accuracy in differentiating aneurysms from stenosis.
Not a replacement for real CTA, small vessels and hemorrhage-obscured aneurysms are still weak spots. But as a low-cost pre-screening/triage tool to flag who actually needs a contrast study, this is a compelling proof of concept.”
Title: AI-based synthetic CT angiography from non-contrast CT for cerebrovascular disease screening
Authors: Jiahao Liao, Bin Xu, Qianwen Zhang, Xin Wang, Xi Qiao, Kefei Chen, Jian Zhou, Jiansong Fan, Chuhan Xu, Hongxiang Wang, Yuhai Wang, Junsheng Chu, Jinxu Zhou
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