REVIEW article
Front. Neurol.
Sec. Applied Neuroimaging
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1589162
Integrating Hemodynamic Analysis with Traditional Imaging in Intracranial Atherosclerotic Stenosis: Current Status and Future Perspectives
Provisionally accepted
- The First Affiliated Hospital of Soochow University, Suzhou, China
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Intracranial atherosclerotic stenosis (ICAS) is a significant cause of ischemic stroke. Traditional imaging methods have their own advantages and disadvantages in the diagnosis of ICAS. Hemodynamic analysis technology, as a new technique and method based on conventional imaging examinations, when combined with traditional imaging, can more comprehensively assess the hemodynamic status of ICAS patients, providing a new direction for the diagnosis and research of ICAS. This review provides an overview of the traditional imaging techniques currently used to diagnose ICAS, including transcranial Doppler ultrasound (TCD), computed tomography angiography (CTA), magnetic resonance angiography (MRA), high-resolution magnetic resonance imaging, and digital subtraction angiography (DSA). The unique characteristics of each method are elaborated. In addition, examples of hemodynamic analysis applications based on these traditional imaging techniques are discussed. This article summarizes and reviews the prospects and limitations of ICAS hemodynamic analysis and proposes potential directions for future research. As a recently developed clinical evaluation method for ICAS, hemodynamic analysis techniques have demonstrated significant potential in various aspects of ICAS, including clinical diagnosis, etiological exploration, treatment selection, and recurrence prediction. It is hoped that the method of hemodynamic analysis will ultimately be incorporated into the treatment guidelines for ICAS patients, paving new ways for the diagnosis and treatment of ICAS.
Keywords: Intracranial atherosclerotic stenosis, computational fluid dynamics, diagnosis, Hemodynamics, NeuroImage
Received: 07 Mar 2025; Accepted: 10 Jul 2025.
Copyright: © 2025 Yin, Rui, Li, Wang and Fang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hui Wang, The First Affiliated Hospital of Soochow University, Suzhou, China
Qi Fang, The First Affiliated Hospital of Soochow University, Suzhou, China
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