Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI

Ashrita Raghuram; Alberto Varon; Jorge A. Roa; Daizo Ishii; Yongjun Lu; Madhavan L. Raghavan; Chaorong Wu; Vincent A. Magnotta; David M. Hasan; Timothy R. Koscik; Edgar A. Samaniego

doi:10.1038/s41598-021-97727-0

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Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI

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Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI

Ashrita Raghuram, Alberto Varon, Jorge A. Roa, Daizo Ishii, Yongjun Lu, Madhavan L. Raghavan, Chaorong Wu, Vincent A. Magnotta, David M. Hasan, Timothy R. Koscik, …

Scientific reports, Vol.11(1), 18344

09/01/2021

DOI: 10.1038/s41598-021-97727-0

PMCID: PMC8443635

PMID: 34526579

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Abstract

Abstract Aneurysm wall enhancement (AWE) after the administration of contrast gadolinium is a potential biomarker of unstable intracranial aneurysms. While most studies determine AWE subjectively, this study comprehensively quantified AWE in 3D imaging using a semi-automated method. Thirty patients with 33 unruptured intracranial aneurysms prospectively underwent high-resolution imaging with 7T-MRI. The signal intensity (SI) of the aneurysm wall was mapped and normalized to the pituitary stalk (PS) and corpus callosum (CC). The CC proved to be a more reliable normalizing structure in detecting contrast enhancement (p < 0.0001). 3D-heatmaps and histogram analysis of AWE were used to generate the following metrics: specific aneurysm wall enhancement (SAWE), general aneurysm wall enhancement (GAWE) and focal aneurysm wall enhancement (FAWE). GAWE was more accurate in detecting known morphological determinants of aneurysm instability such as size ≥ 7 mm (p = 0.049), size ratio (p = 0.01) and aspect ratio (p = 0.002). SAWE and FAWE were aneurysm specific metrics used to characterize enhancement patterns within the aneurysm wall and the distribution of enhancement along the aneurysm. Blebs were easily identified on 3D-heatmaps and were more enhancing than aneurysm sacs (p = 0.0017). 3D-AWE mapping may be a powerful objective tool in characterizing different biological processes of the aneurysm wall.

Details

Title: Subtitle: Semiautomated 3D mapping of aneurysmal wall enhancement with 7T-MRI
Creators: Ashrita Raghuram - Department of Neurology, University of Iowa Carver College of Medicine
Alberto Varon - Department of Neurology, University of Iowa Carver College of Medicine
Jorge A. Roa - Department of Neurology, University of Iowa Carver College of Medicine
Daizo Ishii - Department of Neurosurgery, University of Iowa Carver College of Medicine
Yongjun Lu - Department of Neurosurgery, University of Iowa Carver College of Medicine
Madhavan L. Raghavan - Roy J Carver Department of Biomedical Engineering, University of Iowa
Chaorong Wu - Institute for Clinical and Translational Science, University of Iowa
Vincent A. Magnotta - Department of Radiology, University of Iowa Carver College of Medicine
David M. Hasan - Department of Neurosurgery, University of Iowa Carver College of Medicine
Timothy R. Koscik - Department of Psychiatry, University of Iowa Carver College of Medicine
Edgar A. Samaniego - Department of Neurology, University of Iowa Carver College of Medicine
Resource Type: Journal article
Publication Details: Scientific reports, Vol.11(1), 18344
DOI: 10.1038/s41598-021-97727-0
PMID: 34526579
PMCID: PMC8443635
NLM abbreviation: Sci Rep
eISSN: 2045-2322
Publisher: Nature Publishing Group
Grant note: DOI: 10.13039/100000002, name: National Institutes of Health, award: UL1TR002537
Language: English
Date published: 09/01/2021
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Neurology; Radiology; Psychiatry; Critical Care; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
Record Identifier: 9984158083502771

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