Journal article
MR Imaging of the Cerebral Aneurysmal Wall for Assessment of Rupture Risk
Neuroimaging clinics of North America, Vol.34(2), pp.225-240
05/2024
DOI: 10.1016/j.nic.2024.01.003
PMID: 38604707
Abstract
The evaluation of unruptured intracranial aneurysms requires a comprehensive and multifaceted approach. The comprehensive analysis of aneurysm wall enhancement through high-resolution MRI, in tandem with advanced processing techniques like finite element analysis, quantitative susceptibility mapping, and computational fluid dynamics, has begun to unveil insights into the intricate biology of aneurysms. This enhanced understanding of the etiology, progression, and eventual rupture of aneurysms holds the potential to be used as a tool to triage patients to intervention versus observation. Emerging tools such as radiomics and machine learning are poised to contribute significantly to this evolving landscape of diagnostic refinement.
Details
- Title: Subtitle
- MR Imaging of the Cerebral Aneurysmal Wall for Assessment of Rupture Risk
- Creators
- Sebastian Sanchez - Yale UniversityAndres Gudino-Vega - Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USAKatherine Guijarro-Falcon - Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USAJacob M. Miller - University of IowaLuis E. Noboa - Universidad San Francisco de QuitoEdgar A. Samaniego - Department of Neurology, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Neuroimaging clinics of North America, Vol.34(2), pp.225-240
- DOI
- 10.1016/j.nic.2024.01.003
- PMID
- 38604707
- NLM abbreviation
- Neuroimaging Clin N Am
- ISSN
- 1052-5149
- eISSN
- 1557-9867
- Publisher
- Elsevier Inc
- Grant note
- DOI: 10.13039/100013490, name: Brain Aneurysm Foundation; DOI: 10.13039/100019585, name: Bee Foundation
- Language
- English
- Electronic publication date
- 2024
- Date published
- 05/2024
- Academic Unit
- Neurology; Radiology; Iowa Neuroscience Institute; Neurosurgery
- Record Identifier
- 9984568070502771
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