Key result
Advanced MRI techniques and AI enhance vulnerable carotid plaque assessment to better guide stroke prevention.
Why the study?
Rupture of vulnerable carotid atherosclerotic plaques is the leading cause of acute ischemic stroke, and recent progress has been made in imaging research to characterize plaque vulnerability.
Advanced imaging techniques and AI applications hold significant promise for characterizing vulnerable carotid plaques to reduce the risk of ischemic stroke, but require prospective multicenter validation.
Answers are grounded in this paper and cite their sources.
May support VW-HRMRI, 4D flow, and AI for carotid plaque assessment; leaves open prospective multicenter validation before clinical adoption.
Stroke is a massive public health problem. The rupture of vulnerable carotid atherosclerotic plaques is the most common cause of acute ischemic stroke (AIS) across the world. Currently, vessel wall high-resolution magnetic resonance imaging (VW-HRMRI) is the most appropriate and cost-effective imaging technique to characterize carotid plaque vulnerability and plays an important role in promoting early diagnosis and guiding aggressive clinical therapy to reduce the risk of plaque rupture and AIS. In recent years, great progress has been made in imaging research on vulnerable carotid plaques. This review summarizes developments in the imaging and hemodynamic characteristics of vulnerable carotid plaques on the basis of VW-HRMRI and four-dimensional (4D) flow MRI, and it discusses the relationship between these characteristics and ischemic stroke. In addition, the applications of artificial intelligence in plaque classification and segmentation are reviewed.
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Han et al. (2023) conducted a review in Vulnerable carotid atherosclerotic plaques. VW-HRMRI, 4D flow MRI, and artificial intelligence was evaluated. VW-HRMRI, 4D flow, and artificial intelligence improve the efficiency and accuracy of vulnerable carotid plaque assessment to guide clinical therapy and reduce stroke risk.
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