Modern Imaging of Aneurysmal Subarachnoid Hemorrhage

Simon Levinson; Arjun V Pendharkar; Andrew J Gauden; Jeremy J Heit

doi:10.1016/j.rcl.2023.01.004

Modern Imaging of Aneurysmal Subarachnoid Hemorrhage

Radiol Clin North Am. 2023 May;61(3):457-465. doi: 10.1016/j.rcl.2023.01.004. Epub 2023 Feb 19.

Authors

Simon Levinson¹, Arjun V Pendharkar¹, Andrew J Gauden¹, Jeremy J Heit²

Affiliations

¹ Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
² Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Stanford School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA. Electronic address: jheit@stanford.edu.

PMID: 36931762
DOI: 10.1016/j.rcl.2023.01.004

Abstract

In this review, we discuss the imaging of aneurysmal subarachnoid hemorrhage (SAH). We discuss emergency brain imaging, aneurysm detection techniques, and the management of CTA-negative SAH. We also review the concepts of cerebral vasospasm and delayed cerebral ischemia that occurs after aneurysm rupture and their impact on patient outcomes. These pathologies are distinct, and the use of multimodal imaging modalities is essential for prompt diagnosis and management to minimize morbidity from these conditions. Lastly, new advances in artificial intelligence and advanced imaging modalities such as PET and MR imaging scans have been shown to improve the detection of aneurysms and potentially predict outcomes early in the course of SAH.

Keywords: AI; Aneurysm; Brain; CT; Hemorrhage; Imaging.

Publication types

Review

MeSH terms

Artificial Intelligence
Brain Ischemia*
Humans
Intracranial Aneurysm* / diagnostic imaging
Neuroimaging
Subarachnoid Hemorrhage* / diagnostic imaging