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Proceedings Paper

Quantification of flow through intracranial arteriovenous malformations using Angiographic Parametric Imaging (API)
Author(s): Kyle A. Williams; Mohammed Mahdi Shiraz Bhurwani; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita
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Paper Abstract

Purpose: Intracranial arteriovenous malformations (AVMs) are severe neurovascular diseases in which the arterial branches of an area of the brain communicate directly with venous circulation through a network of dilated vasculature (nidus) which significantly increases the risk of hemorrhage. Treatment plans typically incorporate direct embolization with liquid materials delivered via micro-catheters under fluoroscopy. Currently, the progression and success of this procedure are qualitatively evaluated using digitally subtracted angiographic (DSA) sequences. This study sought to validate the use of Angiographic Parametric Imaging (API) for quantitative analysis of the hemodynamic changes caused by embolization treatment using imaging biomarkers. Materials and Methods: 36 patients with AVMs were selected randomly from a list of patients with known symptoms at presentation. For each, at least one set of frontal and lateral angiograms were analyzed using API. Parametric maps were calculated for five imaging biomarkers, including time to peak (TTP), mean transit time (MTT), time to arrival (TTA), peak height (PH), and area under the curve (AUC). Regions of interest (ROIs) were selected over the feeding arteries, AVM nidus, and draining veins. Average ROI parameters were calculated and changes in flow due to embolization were quantified through a percent change analysis. Results were verified using correlation coefficients across AVM vasculature at multiple sites following normalization. Results: Frontal to lateral correlation coefficients; TTP, 0.54±0.07; MTT, 0.24±0.09; TTA 0.60±0.06; PH, 0.33±0.08; AUC, 0.22±0.09. Nidus to principle draining vein (PDV) correlation coefficients; TTP, 0.75±0.03; MTT, 0.64±0.04; TTA, 0.80±0.02; PH, 0.32±0.06; AUC, 0.68±0.04. PH and AUC values affected by DSA inversion. Conclusions: The study concludes that the API software is reliable in determining the flow parameters throughout the AVM, provided that the selected ROI is consistent between frontal and lateral scans and DSA selection is optimal.

Paper Details

Date Published: 28 February 2020
PDF: 8 pages
Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113170S (28 February 2020); doi: 10.1117/12.2548636
Show Author Affiliations
Kyle A. Williams, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Mohammed Mahdi Shiraz Bhurwani, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Kenneth V. Snyder, Canon Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine
Elad I. Levy, Canon Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine
Jason M. Davies, Canon Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine
Adnan H. Siddiqui, Canon Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine
Ciprian N. Ionita, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Univ. at Buffalo Jacobs School of Medicine (United States)


Published in SPIE Proceedings Vol. 11317:
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor S. Gimi, Editor(s)

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