Files and links (1)
Accepted (AM)Open Access (License Unspecified), Open
Journal article
Initial Clinical Experience with AView—A Clinical Computational Platform for Intracranial Aneurysm Morphology, Hemodynamics, and Treatment Management
World neurosurgery, v 108, pp 534-542
01 Dec 2017
PMID: 28919570
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The management of intracranial aneurysm (IA) is challenging. Clinicians often rely on varied and intuitively disparate ways of evaluating rupture risk that may only partially take into account complex hemodynamic and morphologic factors. We developed a prototype of a clinically oriented, streamlined, computational platform, AView, for rapid assessment of hemodynamics and morphometrics in clinical settings. To show the potential clinical utility of AView, we report our initial multicenter experience highlighting the possible advantages of morphologic and hemodynamic analysis of IAs.
AView software was deployed across 8 medical centers (6 in the United States, 2 in Japan). Eight clinicians were trained and used the AView software between September 2012 and January 2013.
We present 12 illustrative cases that show the potential clinical utility of AView. For all, morphology and hemodynamics, flow visualization, and rupture resemblance score (a surrogate for rupture risk) were provided. In 3 cases, AView could confirm the clinicians' decision to treat; in 3 cases, it could suggest which aneurysms may be at greater risk among multiple aneurysms; in 5 cases, AView could provide additional information for use during treatment decisions for ambiguous situations. In one stent-assisted coiling case, flow visualization predicted that the intuitive choice for stent placement could have resulted in sacrifice of an anterior cerebral artery due to blockage by coils and led clinicians to reconsider treatment plans.
AView has the potential to confirm decisions to treat IAs, suggest which among multiple aneurysms to treat, and guide treatment decisions. Furthermore, the flow visualization it affords can inform aneurysm treatment planning and potentially avoid poor outcomes.
Metrics
Details
- Title
- Initial Clinical Experience with AView—A Clinical Computational Platform for Intracranial Aneurysm Morphology, Hemodynamics, and Treatment Management
- Creators
- Jianping Xiang - University at Buffalo, State University of New YorkNicole Varble - University at Buffalo, State University of New YorkJason M. Davies - University at Buffalo, State University of New YorkAnsaar T. Rai - West Virginia UniversityKenichi Kono - Wakayama Rosai HospitalShin-ichiro Sugiyama - Tohoku UniversityMandy J. Binning - Capital HealthRabih G. Tawk - Jacksonville CollegeHoon Choi - SUNY Upstate Medical UniversityAndrew J. Ringer - TriHealthKenneth V. Snyder - University at Buffalo, State University of New YorkElad I. Levy - University at Buffalo, State University of New YorkL. Nelson Hopkins - University at Buffalo, State University of New YorkAdnan H. Siddiqui - University at Buffalo, State University of New YorkHui Meng - University at Buffalo, State University of New York
- Publication Details
- World neurosurgery, v 108, pp 534-542
- Publisher
- Elsevier
- Number of pages
- 9
- Grant note
- Toshiba Medical Systems (https://doi.org/10.13039/501100008321) National Institutes of Health (https://doi.org/10.13039/100000002) R03NS090193; R01NS091075 / NIH (https://doi.org/10.13039/100000002) Brain Aneurysm Foundation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurology
- Web of Science ID
- WOS:000415874900070
- Scopus ID
- 2-s2.0-85030721007
- Other Identifier
- 991021918001104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Clinical Neurology
- Surgery