Updates in Cerebrovascular Imaging

Hamid Ali; Ahmad Abu Qdais; Arindam Chatterjee; Mohamad Abdalkader; Eytan Raz; Thanh N. Nguyen; Sami Al Kasab

doi:10.1055/a-2681-6597

Seminars in Neurology, Table of Contents

Semin Neurol
DOI: 10.1055/a-2681-6597

Review Article

Updates in Cerebrovascular Imaging

Authors

Hamid Ali

¹Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, United States

²Department of Neurology, Wellstar MCG Health, Augusta University, Augusta, Georgia, United States
Ahmad Abu Qdais

¹Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, United States
Arindam Chatterjee

³Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St Louis, Missouri, United States

⁴Department of Neurosurgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St Louis, Missouri, United States

⁵Department of Neurology, Mallinckrodt Institute of Radiology, Washington University School of Medicine in Saint Louis, St Louis, Missouri, United States
Mohamad Abdalkader

⁶Department of Radiology, Boston Medical Center, Boston, Massachusetts, United States
Eytan Raz

⁷Department of Radiology, NYU Langone Health Center, New York, NY, United States

⁸Department of Neurosurgery, NYU Langone Health Center, New York, NY, United States
Thanh N. Nguyen

⁹Department of Neurology, Boston Medical Center, Boston, Massachusetts, United States
Sami Al Kasab

¹⁰Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, United States

Abstract

Cerebrovascular imaging has undergone significant advances, enhancing the diagnosis and management of cerebrovascular diseases such as stroke, aneurysms, and arteriovenous malformations. This chapter explores key imaging modalities, including non-contrast computed tomography, computed tomography angiography, magnetic resonance imaging (MRI), and digital subtraction angiography. Innovations such as high-resolution vessel wall imaging, artificial intelligence (AI)-driven stroke detection, and advanced perfusion imaging have improved diagnostic accuracy and treatment selection. Additionally, novel techniques like 7-T MRI, molecular imaging, and functional ultrasound provide deeper insights into vascular pathology. AI and machine learning applications are revolutionizing automated detection and prognostication, expediting treatment decisions. Challenges remain in standardization, radiation exposure, and accessibility. However, continued technological advances, multimodal imaging integration, and AI-driven automation promise a future of precise, non-invasive cerebrovascular diagnostics, ultimately improving patient outcomes.

Keywords

cerebrovascular imaging - angiography - stroke - artificial intelligence

Full Text

References

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