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Ann Biomed Eng. 2016 Apr;44(4):1085-96. doi: 10.1007/s10439-015-1363-y. Epub 2015 Jun 23.

AView: An Image-based Clinical Computational Tool for Intracranial Aneurysm Flow Visualization and Clinical Management.

Xiang J1,2,3, Antiga L4, Varble N5,6, Snyder KV5,7,8, Levy EI5,7,8, Siddiqui AH5,7,8, Meng H5,6,7,9.

Author information

1
Toshiba Stroke and Vascular Research Center, University at Buffalo, The State University of New York, 875 Ellicott Street, Buffalo, NY, 14203, USA. jxiang2@buffalo.edu.
2
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA. jxiang2@buffalo.edu.
3
Department of Neurosurgery, University at Buffalo, The State University of New York, Buffalo, NY, USA. jxiang2@buffalo.edu.
4
Orobix srl, Bergamo, Italy.
5
Toshiba Stroke and Vascular Research Center, University at Buffalo, The State University of New York, 875 Ellicott Street, Buffalo, NY, 14203, USA.
6
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.
7
Department of Neurosurgery, University at Buffalo, The State University of New York, Buffalo, NY, USA.
8
Department of Radiology, University at Buffalo, The State University of New York, Buffalo, NY, USA.
9
Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.

Abstract

Intracranial aneurysms (IAs) occur in around 3% of the entire population. IA rupture is responsible for the most devastating type of hemorrhagic strokes, with high fatality and disability rates as well as healthcare costs. With increasing detection of unruptured aneurysms, clinicians are routinely faced with the dilemma whether to treat IA patients and how to best treat them. Hemodynamic and morphological characteristics are increasingly considered in aneurysm rupture risk assessment and treatment planning, but currently no computational tools allow routine integration of flow visualization and quantitation of these parameters in clinical workflow. In this paper, we introduce AView, a prototype of a clinician-oriented, integrated computation tool for aneurysm hemodynamics, morphology, and risk and data management to aid in treatment decisions and treatment planning in or near the procedure room. Specifically, we describe how we have designed the AView structure from the end-user's point of view, performed a pilot study and gathered clinical feedback. The positive results demonstrate AView's potential clinical value on enhancing aneurysm treatment decision and treatment planning.

KEYWORDS:

Clinical tool; Computational fluid dynamics; Hemodynamics; Image segmentation; Intracranial aneurysm; Morphology

PMID:
26101034
DOI:
10.1007/s10439-015-1363-y
[Indexed for MEDLINE]

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